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          "href": "https://www.zotero.org/groups/wcrp-cordex/items/A53CIFVD",
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        "creatorSummary": "Stassen et al.",
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      "data": {
        "key": "A53CIFVD",
        "version": 1957,
        "itemType": "journalArticle",
        "title": "Added value analysis of a CMIP6-based downscaling ensemble for Australian climate projections",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Christian",
            "lastName": "Stassen"
          },
          {
            "creatorType": "author",
            "firstName": "Benjamin",
            "lastName": "Ng"
          },
          {
            "creatorType": "author",
            "firstName": "Emma",
            "lastName": "Howard"
          },
          {
            "creatorType": "author",
            "firstName": "Chun-Hsu",
            "lastName": "Su"
          },
          {
            "creatorType": "author",
            "firstName": "Hua",
            "lastName": "Ye"
          },
          {
            "creatorType": "author",
            "firstName": "Marcus",
            "lastName": "Thatcher"
          },
          {
            "creatorType": "editor",
            "firstName": "Josephine",
            "lastName": "Brown"
          }
        ],
        "abstractNote": "By using finer resolution modelling and locally representative model physics, regional climate models (RCMs) have the potential to improve the information provided by global climate models (GCMs). However, RCMs have their own biases and limitations due to remaining unresolved processes. It is therefore necessary to carefully assess RCM outputs through added value analyses. An ensemble of CMIP6-based 12–17-km regional climate projections has been produced for the Australian Climate Service (ACS) based on the Bureau of Meteorology’s regional climate modelling system (BARPA) and CSIRO’s Conformal Cubic Atmospheric Model (CCAM). The historical and potential future added value of this ensemble is assessed, focusing on extremes (cold, hot, wet and dry). Despite variations in added value across different GCM–RCM experiments, quantities, seasons and regions, BARPA and CCAM generally improve on their driving models for the historical period. Added value over ERA5 is generally small, and often negative for wet and dry extremes, especially for CCAM. The most consistent improvements in all GCM–RCM pairs are found for quantities containing daily minimum temperature, whereas hot days above 40°C show the least improvements. CNRM-ESM2-1-CCAM appears to have significant issues in most analysed quantities, especially related to maximum temperature and might not be recommended for downscaling or use by the community. Additionally, RCMs often predict different climate change signals than their driving models, for example the Murray Basin, which combined with the historical added value indicate plausible improvements in future climate projections.",
        "publicationTitle": "Journal of Southern Hemisphere Earth Systems Science",
        "publisher": "",
        "place": "",
        "date": "2025-12-22",
        "volume": "75",
        "issue": "3",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "ES25014",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "",
        "DOI": "10.1071/ES25014",
        "citationKey": "",
        "url": "https://connectsci.au/es/article/75/3/ES25014/266004/Added-value-analysis-of-a-CMIP6-based-downscaling",
        "accessDate": "2026-10-12T00:12:12Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "2206-5865",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
        "extra": "",
        "tags": [],
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        ],
        "relations": {},
        "dateAdded": "2026-10-12T00:12:13Z",
        "dateModified": "2026-10-12T00:12:13Z"
      }
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        },
        "creatorSummary": "Di Virgilio et al.",
        "parsedDate": "2022",
        "numChildren": 0
      },
      "data": {
        "key": "B64LRJDN",
        "version": 1956,
        "itemType": "journalArticle",
        "title": "Selecting CMIP6 GCMs for CORDEX Dynamical Downscaling: Model Performance, Independence, and Climate Change Signals",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Giovanni",
            "lastName": "Di Virgilio"
          },
          {
            "creatorType": "author",
            "firstName": "Fei",
            "lastName": "Ji"
          },
          {
            "creatorType": "author",
            "firstName": "Eugene",
            "lastName": "Tam"
          },
          {
            "creatorType": "author",
            "firstName": "Nidhi",
            "lastName": "Nishant"
          },
          {
            "creatorType": "author",
            "firstName": "Jason P.",
            "lastName": "Evans"
          },
          {
            "creatorType": "author",
            "firstName": "Chris",
            "lastName": "Thomas"
          },
          {
            "creatorType": "author",
            "firstName": "Matthew L.",
            "lastName": "Riley"
          },
          {
            "creatorType": "author",
            "firstName": "Kathleen",
            "lastName": "Beyer"
          },
          {
            "creatorType": "author",
            "firstName": "Michael R.",
            "lastName": "Grose"
          },
          {
            "creatorType": "author",
            "firstName": "Sugata",
            "lastName": "Narsey"
          },
          {
            "creatorType": "author",
            "firstName": "Francois",
            "lastName": "Delage"
          }
        ],
        "abstractNote": "Abstract\n            Global climate models (GCMs) are essential for investigating climate change, but their coarse scale limits their efficacy for climate adaptation planning at the regional scales where climate impacts manifest. Dynamical downscaling of GCM outputs better resolves regional climate and thus provides improved guidance for climate policy at regional scales. Being expensive to run, downscaling uses a subset of GCMs, necessitating careful GCM selection. This evaluation identifies a suitable subset of CMIP6 GCMs for downscaling over Australia by assessing individual GCMs against three criteria: (a) performance simulating daily climate variable distributions, climate means, extremes, and modes; (b) model independence; and (c) climate change signal diversity. Over Australia, GCMs are generally biased cold (warm) for maximum (minimum) temperature, with larger biases for minimum temperature. GCMs are generally wet biased, especially over the monsoonal north, but dry biased over eastern regions. Most GCMs show larger biases for temperature and precipitation over geographically complex, heavily populated eastern regions, relative to other regions. Evaluations identify a distinct group of 11 GCMs that perform consistently poorly across climate variables, statistics, and timescales with widespread, statistically significant biases, versus 13 GCMs that show consistent adequate‐to‐good performance with substantially reduced errors. Assessment of model independence highlights the lack of independence between several high‐performing GCMs, particularly from allied modeling groups, demonstrating the importance of careful ensemble selection when making selective samples of climate space. Once GCM climate signal diversity is considered, 6–8 mid‐to‐high‐performing, independent GCMs occupy the full range of the future climate space and, thus, are suitable for dynamical downscaling over CORDEX‐Australasia.\n          , \n            Key Points\n            \n              \n                \n                  Per‐global climate model (GCM) performances varied markedly, though the best‐performing GCMs simulated consistently well across temperature variables and statistics\n                \n                \n                  Assessment of model independence highlights the lack of independence between several high‐performing GCMs\n                \n                \n                  Six to eight mid‐to‐high‐performing, independent GCMs capturing a broad range of the future climate space are identified as suitable for downscaling",
        "publicationTitle": "Earth's Future",
        "publisher": "",
        "place": "",
        "date": "04/2022",
        "volume": "10",
        "issue": "4",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2021EF002625",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Earth's Future",
        "DOI": "10.1029/2021EF002625",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021EF002625",
        "accessDate": "2026-10-12T00:10:43Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "2328-4277, 2328-4277",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Selecting CMIP6 GCMs for CORDEX Dynamical Downscaling",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [],
        "collections": [
          "PMFVBKW8"
        ],
        "relations": {},
        "dateAdded": "2026-10-12T00:10:45Z",
        "dateModified": "2026-10-12T00:10:45Z"
      }
    },
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        },
        "creatorSummary": "Di Virgilio et al.",
        "parsedDate": "2020-06-01",
        "numChildren": 0
      },
      "data": {
        "key": "SPD3UEAP",
        "version": 1955,
        "itemType": "journalArticle",
        "title": "Realised added value in dynamical downscaling of Australian climate change",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Giovanni",
            "lastName": "Di Virgilio"
          },
          {
            "creatorType": "author",
            "firstName": "Jason P.",
            "lastName": "Evans"
          },
          {
            "creatorType": "author",
            "firstName": "Alejandro",
            "lastName": "Di Luca"
          },
          {
            "creatorType": "author",
            "firstName": "Michael R.",
            "lastName": "Grose"
          },
          {
            "creatorType": "author",
            "firstName": "Vanessa",
            "lastName": "Round"
          },
          {
            "creatorType": "author",
            "firstName": "Marcus",
            "lastName": "Thatcher"
          }
        ],
        "abstractNote": "Coarse resolution global climate models (GCMs) cannot resolve fine-scale drivers of regional climate, which is the scale where climate adaptation decisions are made. Regional climate models (RCMs) generate high-resolution projections by dynamically downscaling GCM outputs. However, evidence of where and when downscaling provides new information about both the current climate (added value, AV) and projected climate change signals, relative to driving data, is lacking. Seasons and locations where CORDEX-Australasia ERA-Interim and GCM-driven RCMs show AV for mean and extreme precipitation and temperature are identified. A new concept is introduced, ‘realised added value’, that identifies where and when RCMs simultaneously add value in the present climate and project a different climate change signal, thus suggesting plausible improvements in future climate projections by RCMs. ERA-Interim-driven RCMs add value to the simulation of summer-time mean precipitation, especially over northern and eastern Australia. GCM-driven RCMs show AV for precipitation over complex orography in south-eastern Australia during winter and widespread AV for mean and extreme minimum temperature during both seasons, especially over coastal and high-altitude areas. RCM projections of decreased winter rainfall over the Australian Alps and decreased summer rainfall over northern Australia are collocated with notable realised added value. Realised added value averaged across models, variables, seasons and statistics is evident across the majority of Australia and shows where plausible improvements in future climate projections are conferred by RCMs. This assessment of varying RCM capabilities to provide realised added value to GCM projections can be applied globally to inform climate adaptation and model development.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2020-06-01",
        "volume": "54",
        "issue": "11",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "4675-4692",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-020-05250-1",
        "citationKey": "",
        "url": "https://doi.org/10.1007/s00382-020-05250-1",
        "accessDate": "2026-10-12T00:09:42Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "1432-0894",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "Springer Link",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [
          {
            "tag": "CORDEX-Australasia",
            "type": 1
          },
          {
            "tag": "Climate extremes",
            "type": 1
          },
          {
            "tag": "Climate impact adaptation",
            "type": 1
          },
          {
            "tag": "Precipitation",
            "type": 1
          },
          {
            "tag": "Regional climate modelling",
            "type": 1
          },
          {
            "tag": "Temperature",
            "type": 1
          }
        ],
        "collections": [
          "GSHEVJKS"
        ],
        "relations": {},
        "dateAdded": "2026-10-12T00:09:44Z",
        "dateModified": "2026-10-12T00:09:44Z"
      }
    },
    {
      "key": "TVFU3K8W",
      "version": 1954,
      "library": {
        "type": "group",
        "id": 5816477,
        "name": "WCRP-CORDEX",
        "links": {
          "alternate": {
            "href": "https://www.zotero.org/groups/wcrp-cordex",
            "type": "text/html"
          }
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      },
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          "href": "https://api.zotero.org/groups/5816477/items/TVFU3K8W",
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          "href": "https://www.zotero.org/groups/wcrp-cordex/items/TVFU3K8W",
          "type": "text/html"
        }
      },
      "meta": {
        "createdByUser": {
          "id": 12316093,
          "username": "Qld_Future_Climate_team",
          "name": "",
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              "href": "https://www.zotero.org/qld_future_climate_team",
              "type": "text/html"
            }
          }
        },
        "creatorSummary": "Nishant et al.",
        "parsedDate": "2021",
        "numChildren": 0
      },
      "data": {
        "key": "TVFU3K8W",
        "version": 1954,
        "itemType": "journalArticle",
        "title": "Introducing NARCliM1.5: Evaluating the Performance of Regional Climate Projections for Southeast Australia for 1950–2100",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Nidhi",
            "lastName": "Nishant"
          },
          {
            "creatorType": "author",
            "firstName": "Jason P.",
            "lastName": "Evans"
          },
          {
            "creatorType": "author",
            "firstName": "Giovanni",
            "lastName": "Di Virgilio"
          },
          {
            "creatorType": "author",
            "firstName": "Stephanie M.",
            "lastName": "Downes"
          },
          {
            "creatorType": "author",
            "firstName": "Fei",
            "lastName": "Ji"
          },
          {
            "creatorType": "author",
            "firstName": "Kevin K. W.",
            "lastName": "Cheung"
          },
          {
            "creatorType": "author",
            "firstName": "Eugene",
            "lastName": "Tam"
          },
          {
            "creatorType": "author",
            "firstName": "Joseph",
            "lastName": "Miller"
          },
          {
            "creatorType": "author",
            "firstName": "Kathleen",
            "lastName": "Beyer"
          },
          {
            "creatorType": "author",
            "firstName": "Matthew L.",
            "lastName": "Riley"
          }
        ],
        "abstractNote": "Abstract\n            The NARCliM project contributes to the CORDEX initiative for Australasia. The first generation of NARCliM (N1.0) used CMIP3 global climate models (GCMs) and provided near and far future estimates of climate change across Australasia at 50‐km and southeast Australia at 10‐km resolution under a business‐as‐usual climate scenario. However, multiple sets of 20‐year periods in N1.0 did not permit analysis of long‐term, inter‐annual to decadal trends across the 21st century. Feedback on user needs for regional climate information revealed the desire for multiple emission scenarios and use of newer CMIP5 GCMs for dynamical downscaling. These limitations led to development of the second iteration of NARCliM, namely NARCliM1.5 (N1.5). The N1.5 downscaling exercise uses CMIP5 GCMs and is temporally expanded to cover 150 years (1950–2100) for two future Representative Concentration Pathways (RCP4.5 and RCP8.5). N1.5 simulations remain at the 50‐km and 10 km resolutions over the same domains as N1.0, thus producing an expanded and complementary data set for regional climate change. N1.5 simulations substantially improve over N1.0 in capturing the seasonal patterns and magnitudes of precipitation, including improvements in overall bias. Conversely, N1.5 shows similar results to N1.0 for maximum and minimum temperature, with no substantial improvement in overall bias. N1.5 projections project a hotter and drier future relative to N1.0. The combined N1.0 and N1.5 ensemble provides a wider spread of future climates more representative of that found in the full CMIP5 ensemble. Together, N1.0 and N1.5 ensembles provide an improved, more comprehensive data set for studying climate change.\n          , \n            Plain Language Summary\n            The second iteration of New South Wales and Australian Capital Territory Regional Climate Modeling (NARCliM) simulations (N1.5) are described, complementing original NARCliM (N1.0) simulations and expanding the ensemble to 24 members. N1.5 simulations substantially improve over N1.0 simulations in capturing the seasonal patterns and magnitudes of precipitation. N1.5 projections add information to the NARCliM ensemble including the potential for hotter and drier futures than those projected in N1.0. Together, the N1.0 and N1.5 ensembles provide an improved, more comprehensive data set for studying climate change. The varying model performances identified here will help the development of the next generation of regional climate simulations over Australia.\n          , \n            Key Points\n            \n              \n                \n                  The second iteration of NARCliM simulations (N1.5) are described complementing original NARCliM simulations (N1.0)\n                \n                \n                  N1.5 simulations substantially improve over N1.0 simulations in capturing the seasonal patterns and magnitudes of precipitation\n                \n                \n                  N1.5 projections add information to the NARCliM ensemble including the potential for hotter and drier futures than those projected in N1.0",
        "publicationTitle": "Earth's Future",
        "publisher": "",
        "place": "",
        "date": "07/2021",
        "volume": "9",
        "issue": "7",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2020EF001833",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Earth's Future",
        "DOI": "10.1029/2020EF001833",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020EF001833",
        "accessDate": "2026-10-12T00:07:32Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "2328-4277, 2328-4277",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Introducing NARCliM1.5",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [],
        "collections": [
          "GSHEVJKS"
        ],
        "relations": {},
        "dateAdded": "2026-10-12T00:07:35Z",
        "dateModified": "2026-10-12T00:07:35Z"
      }
    },
    {
      "key": "QXWINE5I",
      "version": 1953,
      "library": {
        "type": "group",
        "id": 5816477,
        "name": "WCRP-CORDEX",
        "links": {
          "alternate": {
            "href": "https://www.zotero.org/groups/wcrp-cordex",
            "type": "text/html"
          }
        }
      },
      "links": {
        "self": {
          "href": "https://api.zotero.org/groups/5816477/items/QXWINE5I",
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        },
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          "href": "https://www.zotero.org/groups/wcrp-cordex/items/QXWINE5I",
          "type": "text/html"
        }
      },
      "meta": {
        "createdByUser": {
          "id": 12316093,
          "username": "Qld_Future_Climate_team",
          "name": "",
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            }
          }
        },
        "creatorSummary": "Evans et al.",
        "parsedDate": "2014-04-16",
        "numChildren": 0
      },
      "data": {
        "key": "QXWINE5I",
        "version": 1953,
        "itemType": "journalArticle",
        "title": "Design of a regional climate modelling projection ensemble experiment &ndash; NARCliM",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "J. P.",
            "lastName": "Evans"
          },
          {
            "creatorType": "author",
            "firstName": "F.",
            "lastName": "Ji"
          },
          {
            "creatorType": "author",
            "firstName": "C.",
            "lastName": "Lee"
          },
          {
            "creatorType": "author",
            "firstName": "P.",
            "lastName": "Smith"
          },
          {
            "creatorType": "author",
            "firstName": "D.",
            "lastName": "Argüeso"
          },
          {
            "creatorType": "author",
            "firstName": "L.",
            "lastName": "Fita"
          }
        ],
        "abstractNote": "Including the impacts of climate change in decision making and planning processes is a challenge facing many regional governments including the New South Wales (NSW) and Australian Capital Territory (ACT) governments in Australia. NARCliM (NSW/ACT Regional Climate Modelling project) is a regional climate modelling project that aims to provide a comprehensive and consistent set of climate projections that can be used by all relevant government departments when considering climate change. To maximise end user engagement and ensure outputs are relevant to the planning process, a series of stakeholder workshops were run to define key aspects of the model experiment including spatial resolution, time slices, and output variables. As with all such experiments, practical considerations limit the number of ensemble members that can be simulated such that choices must be made concerning which global climate models (GCMs) to downscale from, and which regional climate models (RCMs) to downscale with. Here a methodology for making these choices is proposed that aims to sample the uncertainty in both GCM and RCM ensembles, as well as spanning the range of future climate projections present in the GCM ensemble. The RCM selection process uses performance evaluation metrics to eliminate poor performing models from consideration, followed by explicit consideration of model independence in order to retain as much information as possible in a small model subset. In addition to these two steps the GCM selection process also considers the future change in temperature and precipitation projected by each GCM. The final GCM selection is based on a subjective consideration of the GCM independence and future change. The created ensemble provides a more robust view of future regional climate changes. Future research is required to determine objective criteria that could replace the subjective aspects of the selection process.",
        "publicationTitle": "Geoscientific Model Development",
        "publisher": "Copernicus GmbH",
        "place": "",
        "date": "2014-04-16",
        "volume": "7",
        "issue": "2",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "621-629",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "",
        "DOI": "10.5194/gmd-7-621-2014",
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            "firstName": "Omer",
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            "firstName": "Neelesh",
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            "firstName": "Stephen J.",
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            "creatorType": "author",
            "firstName": "Son C. H.",
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        "abstractNote": "Regional climate modelling plays a central role in understanding and projecting climate change across Australasia, a region characterised by complex topography, diverse climate regimes, and high exposure to climate extremes. Over the past fifteen years, CORDEX-Australasia has coordinated regional climate downscaling under an international framework while operating alongside complementary national and state-based initiatives. Here we synthesise the evolution, achievements, scientific advances, applications, and future priorities of regional climate modelling in the region. Successive CORDEX-CMIP5 and CORDEX-CMIP6 ensembles have produced the largest coordinated high-resolution projection datasets for Australasia. Regional climate models demonstrate clear added value over their driving global climate models, particularly in representing temperature extremes, heavy precipitation, coastal processes, and complex terrain. CMIP6-based projections show robust agreement on substantial 21st-century warming, with uncertainty dominated by emissions scenarios, while precipitation responses remain more regionally heterogeneous. Advances in convection-permitting modelling, benchmarking frameworks, and bias-correction methods have further improved process representation and evaluation. Regional projections now underpin applications in water resources, agriculture, disaster risk reduction, energy, health, and national climate services. Progress has been supported by shared infrastructure through the National Computational Infrastructure and strengthened coordination via the National Partnership for Climate Projections, highlighting strong synergies between State and Federal programs contributing to CORDEX. Key challenges remain including computational demands, persistent model biases, precipitation uncertainty, ensemble design, and translating complex multi-model information into decision-ready guidance. Strategic priorities include kilometre-scale (convection-permitting) modelling, enhanced Earth system coupling, coordinated super-ensembles, responsible integration of artificial intelligence approaches, strengthened observational constraints, and expanded support for vulnerable remote Australian islands and Pacific Island nations. Sustained investment, collaboration, and innovation will be essential to deliver robust, high-resolution climate information for adaptation and resilience across Australasia.",
        "publicationTitle": "PLOS Climate",
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        "pages": "e0001066",
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        "title": "Evaluation of historical simulations in the HCLIM43-ALADIN regional climate downscaling ensemble over Europe in the EURO-CORDEX-CMIP6 framework",
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            "firstName": "Grigory",
            "lastName": "Nikulin"
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            "lastName": "Kuma"
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            "firstName": "Carolina",
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        "abstractNote": "Regional climate downscaling has historically been complementary to global climate models, providing higher-resolution data for local-scale studies and climate services. We use the regional climate model HCLIM43-ALADIN to downscale six CMIP6 global models in eight simulations on a 12.5-km resolution European domain. This is the HCLIM community contribution to the EURO-CORDEX-CMIP6 multi-model downscaling ensemble involving several regional climate models and soon to be available publicly via the Earth System Grid Federation. We document the HCLIM43-ALADIN ensemble and evaluate the simulated results during the historical time period 1991−2020 against the gridded station observations E-OBS and the reanalyses CERRA, CERRA-Land, and ERA5, focusing on near-surface temperature and precipitation. In winter in the global climate model-driven HCLIM simulations, a cold bias of about 3 °C and underestimated precipitation by about 25% are present in North Europe, and a warm bias of about 1 °C and overestimated precipitation of about 50% are present in Central and Southern Europe. In summer, a cold bias of about 1 °C and overestimated precipitation of about 25% are present in Northern Europe, and a warm bias of about 2 °C is present in Central and Southern Europe. Overestimated precipitation by about 200% is present in parts of Southern Europe, but this value is also amplified by the very low observed precipitation. Some of the temperature and precipitation biases are explainable by large-scale pressure field biases, causing a reduced westerly flow from the Atlantic. Positive temperature trends of about 0.5 °C per decade are present nearly everywhere and especially strong over Central and Eastern Europe (up to about 1.5 °C per decade in some regions and seasons). A comparison between the driving global models and downscaled simulations shows that the regional model tends to improve temperature biases but worsen precipitation biases. In our subjective choice of model ranking, the EC-Earth3-Veg-driven simulations are the best-performing, and the MIROC6-driven simulation is the worst-performing. Simulations of future climate scenarios until 2100 with HCLIM43-ALADIN will be analysed in a separate publication. The presented simulations can be used for decision-making and will contribute to planned multi-model EURO-CORDEX-CMIP6 analyses.",
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            "firstName": "Francesco",
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            "firstName": "Simona",
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            "firstName": "Faye",
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            "firstName": "Jerasorn",
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            "creatorType": "author",
            "firstName": "Liew",
            "lastName": "Juneng"
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            "creatorType": "author",
            "firstName": "Donaldi S.",
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            "creatorType": "author",
            "firstName": "Jing Xiang",
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            "creatorType": "author",
            "firstName": "Julie Mae",
            "lastName": "Dado"
          },
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            "creatorType": "author",
            "firstName": "John L.",
            "lastName": "McGregor"
          },
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            "creatorType": "author",
            "firstName": "Grace",
            "lastName": "Redmond"
          },
          {
            "creatorType": "author",
            "firstName": "Tse Wai",
            "lastName": "Po"
          },
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            "creatorType": "author",
            "firstName": "Fredolin",
            "lastName": "Tangang"
          },
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            "creatorType": "author",
            "firstName": "Tan",
            "lastName": "Phan-Van"
          },
          {
            "creatorType": "author",
            "firstName": "Son C. H.",
            "lastName": "Truong"
          },
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            "firstName": "Marcus",
            "lastName": "Thatcher"
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            "creatorType": "author",
            "firstName": "Long",
            "lastName": "Trinh-Tuan"
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            "creatorType": "author",
            "firstName": "Ummu",
            "lastName": "Ma'rufah"
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            "creatorType": "author",
            "firstName": "Jennifer",
            "lastName": "Tibay"
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            "firstName": "Giovanni",
            "lastName": "Di Virgilio"
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            "creatorType": "author",
            "firstName": "Stephen",
            "lastName": "White"
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        "abstractNote": "Abstract. A 21-member ensemble of regional climate simulations has been produced for Southeast Asia (SEA) by dynamically downscaling Coupled Model Intercomparison Project Phase 6 (CMIP6) Global Climate Models (GCMs) under the World Climate Research Programme's Coordinated Regional Climate Downscaling Experiment (CORDEX). The ensemble was generated by several modelling institutes using three regional climate models (RCMs) with eight distinct model configurations, resulting in a total of 62 simulations spanning the historical period and multiple future emissions scenarios. Model performance for mean, daily maximum/minimum temperature, and precipitation was evaluated against multiple observations at annual, seasonal, and daily time scales over SEA and its two subregions: Mainland and Maritime Continent (MC). Despite large observational uncertainties in precipitation intensity, the CMIP6 CORDEX-SEA ensemble captures the spatial and seasonal rainfall distribution reasonably well but tends to substantially overestimate observed rainfall. Wet biases, evident in about two-thirds of the models, are regionally and seasonally heterogeneous and larger over monsoon-dominated regions and seasons (e.g., MC during November–April and the Mainland during May–October). All RCMs showed widespread, statistically significant cold biases in daily mean temperature, which were largest during boreal winter, over the Mainland, and in simulations that have significant wet biases. These cold biases primarily arise from the models' underestimation of daily maximum temperature. The MC remains a challenging region since models struggle to accurately capture the spatial variability of rainfall and the internal variability of temperature. A standardised benchmarking framework was applied to precipitation and temperature, which ultimately identified 15 historical simulations that met our a priori model performance expectations. Analysing the range of future projections and model independence shows that simulations from the same RCM family exhibit similar bias structures, highlighting the importance of RCM setup and the selection of statistically independent models. From this process, eight simulations spanning three RCM configurations were selected for further kilometre-scale dynamical downscaling over megacities of SEA.",
        "publicationTitle": "Geoscientific Model Development",
        "publisher": "",
        "place": "",
        "date": "2026-08-19",
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        "pages": "7653-7685",
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        "journalAbbreviation": "Geosci. Model Dev.",
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        "PMID": "",
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        "ISSN": "1991-9603",
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        "shortTitle": "The CMIP6-downscaled CORDEX-Southeast Asia (SEA) ensemble",
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        "title": "Precipitation frequency in Med-CORDEX and EURO-CORDEX ensembles from 0.44° to convection-permitting resolution: impact of model resolution and convection representation",
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            "creatorType": "author",
            "firstName": "Minh T.",
            "lastName": "Ha"
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            "firstName": "Sophie",
            "lastName": "Bastin"
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            "firstName": "L.",
            "lastName": "Fita"
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            "creatorType": "author",
            "firstName": "J.",
            "lastName": "Polcher"
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          {
            "creatorType": "author",
            "firstName": "O.",
            "lastName": "Bock"
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          {
            "creatorType": "author",
            "firstName": "M.",
            "lastName": "Chiriaco"
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            "creatorType": "author",
            "firstName": "D.",
            "lastName": "Belušić"
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            "firstName": "C.",
            "lastName": "Caillaud"
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            "firstName": "A.",
            "lastName": "Dobler"
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            "firstName": "J.",
            "lastName": "Fernandez"
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            "firstName": "K.",
            "lastName": "Goergen"
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            "firstName": "Ø.",
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            "firstName": "S.",
            "lastName": "Kartsios"
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            "creatorType": "author",
            "firstName": "E.",
            "lastName": "Katragkou"
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            "firstName": "A.",
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            "firstName": "T.",
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            "firstName": "J.",
            "lastName": "Milovac"
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            "firstName": "H.-J.",
            "lastName": "Panitz"
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            "firstName": "S.",
            "lastName": "Sobolowski"
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            "creatorType": "author",
            "firstName": "H.",
            "lastName": "Truhetz"
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            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Warrach-Sagi"
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            "firstName": "V.",
            "lastName": "Wulfmeyer"
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        "abstractNote": "Abstract \n            Recent studies using convection-permitting (CP) climate simulations have demonstrated a step-change in the representation of heavy rainfall and rainfall characteristics (frequency-intensity) compared to coarser resolution Global and Regional climate models. The goal of this study is to better understand what explains the weaker frequency of precipitation in the CP ensemble by assessing the triggering process of precipitation in the different ensembles of regional climate simulations available over Europe. We focus on the statistical relationship between tropospheric temperature, humidity and precipitation to understand how the frequency of precipitation over Europe and the Mediterranean is impacted by model resolution and the representation of convection (parameterized vs. explicit). We employ a multi-model data-set with three different resolutions (0.44°, 0.11° and 0.0275°) produced in the context of the MED-CORDEX, EURO-CORDEX and the CORDEX Flagship Pilot Study \"Convective Phenomena over Europe and the Mediterranean\" (FPSCONV). The multi-variate approach is applied to all model ensembles, and to several surface stations where the integrated water vapor (IWV) is derived from Global Positioning System (GPS) measurements. The results show that all model ensembles capture the temperature dependence of the critical value of IWV (IWVcv), above which an increase in precipitation frequency occurs, but the differences between the models in terms of the value of IWVcv, and the probability of its being exceeded, can be large at higher temperatures. The lower frequency of precipitation in convection-permitting simulations is not only explained by higher temperatures but also by a higher IWVcv necessary to trigger precipitation at similar temperatures, and a lower probability to exceed this critical value. The spread between models in simulating IWVcv and the probability of exceeding IWVcv is reduced over land in the ensemble of models with explicit convection, especially at high temperatures, when the convective fraction of total precipitation becomes more important and the influence of the representation of entrainment in models thus becomes more important. Over lowlands, both model resolution and convection representation affect precipitation triggering while over mountainous areas, resolution has the highest impact due to orography-induced triggering processes. Over the sea, since lifting is produced by large-scale convergence, the probability to exceed IWVcv does not depend on temperature, and the model resolution does not have a clear impact on the results.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "06/2024",
        "volume": "62",
        "issue": "6",
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        "partNumber": "",
        "partTitle": "",
        "pages": "4515-4540",
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        "journalAbbreviation": "Clim Dyn",
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        "ISSN": "0930-7575, 1432-0894",
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            "firstName": "R.",
            "lastName": "Pagès"
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            "lastName": "Baklouti"
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            "firstName": "N.",
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            "lastName": "Richon"
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            "lastName": "Moutin"
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        "publicationTitle": "Progress in Oceanography",
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        "place": "",
        "date": "02/2020",
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        "abstractNote": "Abstract\n            \n              High resolution climate information is critical for the vulnerability, impacts, adaptation, and climate services communities (VIACS). Coordinated ensembles generated by initiatives like CORDEX provide consistent and comparable information for the present and future over all land areas of the globe. This manuscript focuses on the European CORDEX initiative (hereafter EURO-CORDEX), and its coordinated effort to build regional climate ensembles for the years to come. In its first phase, EURO-CORDEX produced a rich ensemble of regional climate simulations under different representative concentration pathway scenarios. The EURO-CORDEX dataset is openly available and was fed into the Regional Atlas of 6\n              th\n              IPCC Assessment Report. However, this ensemble suffered from several shortcomings, which the community seeks to address in the next phase of production. Chief among these is the oft cited criticism that the selection of GCMs that provide input to the regional climate models was not rigorous and that the resulting ensemble represents an “ensemble of opportunity”. The present paper provides a description of how the community has addressed these shortcomings. We present a comprehensive, flexible and traceable evaluation framework and toolkit for assessing the suitability of GCMs for downscaling, using EURO-CORDEX as an example. Its value lies in its explicit recognition of subjectivity and mechanisms implemented to transparently track decision making. Further, the utility of the framework extends well beyond pre-downscaling decisions to also include post-downscaling investigations performed by the VIACS communities and beyond, to include researchers investigating such topics as model biases, future constraints and exploring future storylines.",
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            "firstName": "George",
            "lastName": "Zittis"
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        "abstractNote": "Abstract \n            Observation and model-based studies have identified the Mediterranean region as one of the most prominent climate change “hot-spots.” Parts of this distinctive region are included in several Coordinated Regional Downscaling Experiment (CORDEX) domains such as those for Europe, Africa, the Mediterranean, and the Middle East/North Africa. In this study, we compile and analyze monthly temperature and precipitation fields derived from regional climate model simulations performed over different CORDEX domains at a spatial resolution of 50 km. This unique multi-model, multi-scenario, and multi-domain “super-ensemble” is used to update projected changes for the Mediterranean region. The statistical robustness and significance of the climate change signal is assessed. By considering information from more than one CORDEX domains, our analysis addresses an additional type of uncertainty that is often neglected and is related to the positioning of the regional climate model domain. CORDEX simulations suggest a general warming by the end of the century (between 1 and 5 °C with respect to the 1986–2005 reference period), which is expected to be strongest during summer (up to 7 °C). A general drying (between 10 and 40%) is also inferred for the Mediterranean. However, the projected precipitation change signal is less significant and less robust. The CORDEX ensemble corroborates the fact that the Mediterranean is already entering the 1.5 °C climate warming era. It is expected to reach 2 °C warming well within two decades, unless strong greenhouse gas concentration reductions are implemented. The southern part of the Mediterranean is expected to be impacted most strongly since the CORDEX ensemble suggests substantial combined warming and drying, particularly for pathways RCP4.5 and RCP8.5.",
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        "abstractNote": "Maritime transport is a vital sector for global trade and the world economy. Particularly for islands, there is also an important social dimension of this sector, since island communities strongly rely on it for a connection with the mainland and the transportation of goods and passengers. Furthermore, islands are exceptionally vulnerable to climate change, as the rising sea level and extreme events are expected to induce severe impacts. Such hazards are anticipated to also affect the operations of the maritime transport sector by affecting either the port infrastructure or ships en route. The present study is an effort to better comprehend and assess the future risk of maritime transport disruption in six European islands and archipelagos, and it aims at supporting regional to local policy and decision-making. We employ state-of-the-art regional climate datasets and the widely used impact chain approach to identify the different components that might drive such risks. Larger islands (e.g., Corsica, Cyprus and Crete) are found to be more resilient to the impacts of climate change on maritime operations. Our findings also highlight the importance of adopting a low-emission pathway, since this will keep the risk of maritime transport disruption similar to present levels or even slightly decreased for some islands because of an enhanced adaptation capacity and advantageous demographic changes.",
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        ],
        "abstractNote": "Abstract\n            The collaboration between the Coordinated Regional Climate Downscaling Experiment (CORDEX) and the Earth System Grid Federation (ESGF) provides open access to an unprecedented ensemble of regional climate model (RCM) simulations, across the 14 CORDEX continental-scale domains, with global coverage. These simulations have been used as a new line of evidence to assess regional climate projections in the latest contribution of the Working Group I (WGI) to the IPCC Sixth Assessment Report (AR6), particularly in the regional chapters and the Atlas. Here, we present the work done in the framework of the Copernicus Climate Change Service (C3S) to ­assemble a consistent worldwide CORDEX grand ensemble, aligned with the deadlines and ­activities of IPCC AR6. This work addressed the uneven and heterogeneous availability of CORDEX ESGF data by supporting publication in CORDEX domains with few archived simulations and performing quality control. It also addressed the lack of comprehensive documentation by compiling information from all contributing regional models, allowing for an informed use of data. In addition to presenting the worldwide CORDEX dataset, we assess here its consistency for precipitation and temperature by comparing climate change signals in regions with overlapping CORDEX domains, obtaining overall coincident regional climate change signals. The C3S CORDEX dataset has been used for the assessment of regional climate change in the IPCC AR6 (and for the interactive Atlas) and is available through the Copernicus Climate Data Store (CDS).",
        "publicationTitle": "Bulletin of the American Meteorological Society",
        "publisher": "",
        "place": "",
        "date": "12/2022",
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        "partNumber": "",
        "partTitle": "",
        "pages": "E2804-E2826",
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        "DOI": "10.1175/BAMS-D-22-0111.1",
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        "shortTitle": "The Worldwide C3S CORDEX Grand Ensemble",
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        "itemType": "journalArticle",
        "title": "Assessment of Tropical Cyclones Over the Australian Region From Downscaled CORDEX‐CMIP6 Simulations",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Xiaocheng",
            "lastName": "Yu"
          },
          {
            "creatorType": "author",
            "firstName": "Jozef",
            "lastName": "Syktus"
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          {
            "creatorType": "author",
            "firstName": "Ralph",
            "lastName": "Trancoso"
          },
          {
            "creatorType": "author",
            "firstName": "Sarah",
            "lastName": "Chapman"
          }
        ],
        "abstractNote": "Abstract\n            Tropical cyclones (TCs) cause major economic losses in Australia due to severe winds and floods; however global climate models (GCMs) are too coarse to properly resolve them. Here, we dynamically downscale ERA5 reanalysis and 16 CMIP6 simulations from 11 GCMs using the Conformal Cubic Atmospheric Model (CCAM) to a ∼10 km resolution over the Australian region. We evaluate whether these simulations can represent TC activity over the Australian region by analyzing TC frequency, genesis, intensity, lifespan, and the role of ocean–atmosphere coupling. The downscaled simulations reproduce observed spatial and seasonal patterns of TC activity, with the highest skill in the central and eastern subregions. CCAM‐ERA5 captures the observed intensity distribution for Categories 2–4 and the relationship between lifespan and intensity. The CCAM‐CMIP6 ensemble reproduces mean TC number well in the central and eastern subregions but underestimates the most intense (Categories 4–5) and medium‐lived TCs (6–8 days) while overestimating Category 1 systems. Ocean coupling has model‐dependent effects rather than producing a systematic improvement. Coupled configurations generally simulate fewer TCs than atmosphere‐only configurations, mainly through reduced weak‐TC numbers, while differences in stronger‐TC intensity are generally small and metric dependent. Overall, the CCAM downscaled simulations provide a realistic representation of Australian TC climatology, particularly in the central and eastern subregions, but remaining biases in the western basin and in the upper tail of TC intensity should be considered in future projection and impact applications.\n          , \n            Plain Language Summary\n            Tropical cyclones (TCs) pose major risks to communities across Australia, but global climate models are usually too coarse to represent TC characteristics well. We used the global variable resolution CCAM model to produce to produce 16 high‐resolution, approximately 10 km, downscaled simulations. These simulations allow individual TCs to be identified and tracked more realistically. The high‐resolution simulations reproduce many key features of observed TC activity, including tracks, genesis, intensity and lifespan. The simulations perform best in central and eastern Australia, where the higher spatial resolution better represents TC characteristics. The downscaled simulations underestimate the most intense (Categories 4–5) while overestimating Category 1 characteristics. The intensity of moderate‐to‐strong TCs (Categories 2–4) is well captured. We also compared simulations with and without ocean coupling. Ocean‐coupled simulations allow the atmosphere and ocean to interact, but they do not consistently improve the results. In general, coupling reduces the number of simulated tropical cyclones, mainly by reducing weaker storms, while its effect on stronger storms varies between models. Overall, the results show that CCAM provides a useful high‐resolution data set for studying Australian TC climatology and future changes, although caution is needed when interpreting the strongest storms and results in the western Australian region.\n          , \n            Key Points\n            \n              \n                \n                  ERA5‐and CMIP6‐driven downscaled simulations reproduce TC activity over Australia, with strongest agreement in the east\n                \n                \n                  ERA5‐driven high‐resolution simulations capture moderate‐to‐strong TC intensity and lifespan links, but extreme TCs remain underestimated\n                \n                \n                  CMIP6‐driven high‐resolution ensemble underestimates Category 4–5 TCs and underrepresents medium‐lived (6–8 days) events",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
        "publisher": "",
        "place": "",
        "date": "2026-09-16",
        "volume": "131",
        "issue": "17",
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        "partTitle": "",
        "pages": "e2026JD047231",
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        "journalAbbreviation": "JGR Atmospheres",
        "DOI": "10.1029/2026JD047231",
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        "shortTitle": "",
        "language": "en",
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        "dateAdded": "2026-09-08T10:08:27Z",
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        "creatorSummary": "Diez-Sierra et al.",
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        "publicationTitle": "Urban Climate",
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        "title": "Evaluating Tropical Cyclone Representation in ERA5‐Driven NARCliM2.0 WRF Simulations Over CORDEX‐Australasia Using Multiple Trackers",
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            "firstName": "Jyothi",
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            "firstName": "Fei",
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            "firstName": "Julia",
            "lastName": "Andrys"
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            "creatorType": "author",
            "firstName": "Stephen",
            "lastName": "White"
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            "creatorType": "author",
            "firstName": "Carlos Vieira",
            "lastName": "Rocha"
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            "firstName": "Dipayan",
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            "firstName": "Yue",
            "lastName": "Li"
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          {
            "creatorType": "author",
            "firstName": "Matthew L.",
            "lastName": "Riley"
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          {
            "creatorType": "author",
            "firstName": "Jason P.",
            "lastName": "Evans"
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            "creatorType": "author",
            "firstName": "Christopher",
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        "abstractNote": "Abstract\n            We evaluate tropical cyclone (TC) representation in CORDEX ERA5‐driven simulations from the New South Wales and Australian Regional Climate Modelling Project (NARCliM2.0) over the Australian region at ∼20 km resolution for the period 1980–2020. The simulations are performed using the Weather Research and Forecasting (WRF) Model with two configurations that differ only in their planetary boundary layer (PBL) physics: R3 (MYNN2.5) and R5 (ACM2). TCs are identified using two independent tracking algorithms to assess the robustness of the results across detection methods (a) local minimum sea level pressure combined with a warm‐core criterion (UZ; physics‐based), and (b) Okubo‐Weiss‐Zeta parameter (OWZ; dynamics‐based). Both trackers were applied to ERA5 reanalysis and ERA5‐driven simulations, with simulated TC characteristics evaluated against Bureau of Meteorology observations. Using both TC trackers, the ERA5‐driven simulations reasonably reproduce the broad observed spatial patterns of TC genesis and track density, including their modulation by the El Niño–Southern Oscillation. The regional differences are largely driven by PBL physics rather than by the choice of trackers. R3 outperforms R5 over northwestern Australia in both trackers, where moisture deficits and less favorable dynamical conditions in R5 suppress TC genesis during both El Niño and La Niña. Although both configurations result in too many Category‐1 TCs over the Solomon Sea region, R3 reduces this bias, particularly with the UZ tracker. Both configurations underestimate TC intensity, similar to ERA5 reanalysis. Overall, the ERA5‐driven simulations provide a reasonable representation of Australian TC climatology, supporting their potential use as a benchmark for CMIP6‐driven regional TC projections.\n          , \n            Plain Language Summary\n            Regional climate models with finer resolution can generally represent tropical cyclones (TCs) better than coarser global climate models. In this study, we examine how well high‐resolution (∼20 km) ERA5 reanalysis‐driven NARCliM2.0 regional climate simulations represent TCs over the Australian region. For this, we use two different methods to identify TCs in the model simulations, so the results are not dependent on just one method. Using both methods, the simulations reasonably capture the main TC occurrence zones around Australia. They also capture the influence of El Niño and La Niña, which strongly affect the large‐scale environment over the Australian region. A key advantage of assessing these simulations is that they use slightly different model setups, which helps us understand why simulated TC activity differs between regions. Although the choice of TC identification method partly explains the regional differences, the way the model represents TC environment has a much larger influence. For example, over northwestern Australia, TC occurrence depends more on how atmospheric moisture conditions are represented in the model than on the method used to identify TCs. Overall, this analysis using multiple detection methods shows that our simulations reasonably capture Australian TC activity and provide a foundation for investigating future changes.\n          , \n            Key Points\n            \n              \n                \n                  The ERA5‐driven NARCliM2.0 simulations broadly capture Australian TC climatology and its modulation by the El Niño‐Southern Oscillation\n                \n                \n                  Regional TC biases are more sensitive to PBL physics (MYNN2.5 and ACM2) than tracker choice, with MYNN2.5 showing higher skill than ACM2\n                \n                \n                  The ERA5‐driven NARCliM2.0 simulations provide a valuable benchmark for future work assessing TC changes in CMIP6‐driven simulations",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
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        "date": "2026-08-28",
        "volume": "131",
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        "pages": "e2025JD045466",
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        "title": "Beyond Linear Scaling: Dynamical Controls on European Precipitation Extremes",
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        "abstractNote": "<p><strong class=\"journal-contentHeaderColor\">Abstract.</strong> This study investigates the scalability of extreme precipitation indices across the Mediterranean Basin and Europe using 0.11&deg; EURO-CORDEX regional climate model projections. A pattern-scaling framework is applied to assess whether changes in extreme precipitation exhibit a robust relationship with increments in global mean temperature and to determine the time of emergence of scalable patterns during the twenty-first century. Scaling relationships are derived for five extreme precipitation indices using annual mean global temperature change from the driving global climate models.</p> <p>A clear distinction emerges between ensemble-mean behavior and individual model responses. For most indices, the ensemble mean converges toward the late-century pattern relatively early in the century, suggesting that large-scale thermodynamic control linked to global warming governs the forced signal in precipitation extremes. Individual model realizations, however, display substantially greater spread and often lack a stable scaling relationship until much later in the century.</p> <p>Projected changes reveal a pronounced north&ndash;south contrast across Europe, with increasing precipitation extremes in northern regions and progressively drier conditions across much of the Mediterranean Basin and southern Europe. However, the analysis shows that precipitation extremes do not conform uniformly to a linear scaling with global mean temperature. In contrast to temperature-based metrics, a robust linear relationship for precipitation emerges only gradually and remains weak or absent for the most extreme indices.</p> <p>Crucially, the breakdown of linear scaling is not merely a limitation of the framework, but a physically informative signal indicating a transition in the controlling mechanisms of precipitation extremes. The forced thermodynamic response becomes clearly distinguishable from internal variability by around mid-century, but for the most extreme events, the deviation from scalable behavior reflects an increasing dominance of regional circulation changes and large-scale dynamical adjustments over thermodynamic constraints alone. In this regime, departures from scaling capture the growing influence of atmospheric dynamics rather than uncertainty.</p> <p>By the late century, projected changes in several indices remain broadly consistent with large-scale patterns of change, yet the least scalable metrics highlight where dynamical processes override temperature-driven expectations. As a result, some precipitation metrics can be linked to warming more directly than others. This distinction has important implications for pattern-scaled projections, as the breakdown of scaling provides insight into when and where atmospheric dynamics become the primary control on European precipitation extremes, rather than representing noise around a simple thermodynamic response.</p>",
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        "abstractNote": "Abstract \n            Understanding how climate change will affect oceanic fluid transport is crucial for environmental applications and human activities. However, a synoptic characterization of the influence of climate change on mesoscale stirring and transport in the surface ocean is missing. To bridge this gap, we exploit a high‐resolution, fully coupled climate model of the Mediterranean basin using a Network Theory approach. We project significant increases of horizontal stirring and kinetic energies in the next century, likely due to increments of available potential energy. The future evolution of basin‐scale transport patterns hints at a rearrangement of the main hydrodynamic provinces, defined as regions of the surface ocean that are well mixed internally but with minimal cross‐flow across their boundaries. This results in increased heterogeneity of province sizes and stronger mixing in their interiors. Our approach can be readily applied to other oceanic regions, providing information for the present and future marine spatial planning. \n          ,  \n            Plain Language Summary \n            Transport and mixing of water masses driven by ocean currents influence a variety of fundamental processes, including heat redistribution, ecosystem functioning, and pollutants spreading. Therefore, understanding how fluid transport will be affected by climate change is crucial, in particular in the ocean surface, where marine life and human activities are concentrated. Here, we exploit a state‐of‐the‐art climate model over the Mediterranean basin using a novel methodology which integrates Network Theory concepts with Lagrangian modeling. We assess past conditions and future changes at climatic scales of ocean stirring and transport over the entire basin. Our results reveal a significant increment of surface stirring linked to an increase of currents kinetic energy, which in turn could be ascribed to increments of available potential energy. We then provide a regionalization of the ocean surface based on hydrodynamic provinces that are well mixed internally but with little leaking across their boundaries. Our model project an increased heterogeneity of province sizes and a stronger mixing in their interiors, while their mean area and coherence remain unaffected. Our approach could be applied to other oceanic domains and help designing adaptive strategies for marine spatial planning. \n          ,  \n            Key Points \n             \n               \n                 \n                  We exploit a coupled climate model over the Mediterranean combining Network Theory with a Lagrangian approach \n                 \n                 \n                  Entropy and kinetic energy analyses project a significant increase of stirring for the next century \n                 \n                 \n                  Future transport patterns result in larger areas variability and stronger internal mixing of hydrodynamic provinces",
        "publicationTitle": "Geophysical Research Letters",
        "publisher": "",
        "place": "",
        "date": "2020-11-28",
        "volume": "47",
        "issue": "22",
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        "partNumber": "",
        "partTitle": "",
        "pages": "e2020GL089941",
        "series": "",
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        "journalAbbreviation": "Geophysical Research Letters",
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        "title": "On the relevance of tidal forcing in modelling the Mediterranean thermohaline circulation",
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            "firstName": "G.",
            "lastName": "Sannino"
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            "lastName": "Carillo"
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            "lastName": "Pisacane"
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            "lastName": "Naranjo"
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        "date": "05/2015",
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        "creators": [
          {
            "creatorType": "author",
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            "firstName": "Fanni D.",
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            "lastName": "Ahrens"
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        "abstractNote": "Abstract. The frequency of extreme events has changed, having a\ndirect impact on human lives. Regional climate models help us to predict\nthese regional climate changes. This work presents an atmosphere–ocean\ncoupled regional climate system model (RCSM; with the atmospheric component\nCOSMO-CLM and the ocean component NEMO) over the European domain, including\nthree marginal seas: the Mediterranean, North, and Baltic Sea. To\ntest the model, we evaluate a simulation of more than 100 years\n(1900–2009) with a spatial grid resolution of about 25 km. The simulation was\nnested into a coupled global simulation with the model MPI-ESM in a\nlow-resolution configuration, whose ocean temperature and salinity were\nnudged to the ocean–ice component of the MPI-ESM forced with the NOAA\n20th Century Reanalysis (20CR). The evaluation shows the robustness of\nthe RCSM and discusses the added value by the coupled marginal seas over an\natmosphere-only simulation. The coupled system is stable for the complete\n20th century and provides a better representation of extreme\ntemperatures compared to the atmosphere-only model. The produced long-term\ndataset will help us to better understand the processes leading to\nmeteorological and climate extremes.",
        "publicationTitle": "Geoscientific Model Development",
        "publisher": "",
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        "date": "2019-12-05",
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        "pages": "5077-5095",
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            "firstName": "Riccardo",
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            "lastName": "Argiolas"
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            "firstName": "Marta",
            "lastName": "Bruno Soares"
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          {
            "creatorType": "author",
            "firstName": "Michael",
            "lastName": "Sanderson"
          }
        ],
        "abstractNote": "",
        "publicationTitle": "Climate Services",
        "publisher": "",
        "place": "",
        "date": "04/2023",
        "volume": "30",
        "issue": "",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "100346",
        "series": "",
        "seriesTitle": "",
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        "journalAbbreviation": "Climate Services",
        "DOI": "10.1016/j.cliser.2023.100346",
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        "PMID": "",
        "PMCID": "",
        "ISSN": "24058807",
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        "archiveLocation": "",
        "shortTitle": "Monitoring climate related risk and opportunities for the wine sector",
        "language": "en",
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        "title": "New horizons in statistical downscaling and AI approaches for sustainable km-scale climate simulations",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Kwok Pan",
            "lastName": "Chun"
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            "creatorType": "author",
            "firstName": "Leonardo",
            "lastName": "Aragão"
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            "creatorType": "author",
            "firstName": "Matías Ezequiel",
            "lastName": "Olmo"
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            "creatorType": "author",
            "firstName": "Viet Dung",
            "lastName": "Nguyen"
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          {
            "creatorType": "author",
            "firstName": "Christoforus Bayu",
            "lastName": "Risanto"
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            "creatorType": "author",
            "firstName": "Maria Laura",
            "lastName": "Bettolli"
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            "firstName": "Yasemin",
            "lastName": "Ezber"
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            "firstName": "Emir",
            "lastName": "Toker"
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          {
            "creatorType": "author",
            "firstName": "Konstantinos V.",
            "lastName": "Varotsos"
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        ],
        "abstractNote": "Statistical downscaling translates coarse-resolution climate model output into locally relevant information for climate services and impact assessment. Recent advances in artificial intelligence (AI) enable high-resolution, probabilistic, and computationally efficient approaches. This paper provides a perspective on the evolution from classical to AI-driven and hybrid downscaling approaches, assesses key challenges related to interpretability, uncertainty, data availability, and computational requirements, and outlines physically constrained and generative frameworks that support decision-making across sectors.",
        "publicationTitle": "npj Climate and Atmospheric Science",
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        "journalAbbreviation": "npj Clim Atmos Sci",
        "DOI": "10.1038/s41612-026-01424-6",
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        "title": "A high-emission future scenario in a sub-kilometric simulation of the Northwestern Mediterranean destabilizes the circulation and induces a seasonal Balearic Gyre",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Quentin-Boris",
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            "creatorType": "author",
            "firstName": "Florence",
            "lastName": "Sevault"
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        "abstractNote": "Abstract. Surface waters in the western Mediterranean are warming at a rate that is nearly three times faster than that of the global ocean. The induced increase in stratification already results in surface circulation changes. In this study, we analyse a simulation of the Western Mediterranean conducted at a resolution finer than 500 m north of 42° N and forced by a regional climate simulation under the SSP5-8.5 scenario. We focus on the evolution of surface dynamics in the northwestern Mediterranean Sea throughout the 21st century. The dynamics of the system are assessed using a scale decomposition of the kinetic energy (KE) into seven terms. The standing-mean, transient-mean, standing-eddy and transient-eddy KEs are described by four terms. Three cross-terms quantify the covariance between standing fluctuations and transient motions and diagnose meso- to sub-mesoscale KE coupling. These also enable the assessment of the seasonal variability of the dynamics. The method is applied to a 4.5 km reanalysis for comparison with the present and future outputs of the HR scenario. When confronted with the reanalysis, present-day outputs show a more extended Northern Current (NC) that maintains its strength until it reaches the Balearic Sea. Because the northernmost extension of the Algerian Eddies falls within the parent-model relaxation zone, it is not represented. Instead, the cyclonic Northern Gyre is more clearly closed between Menorca and Corsica, across scales and in both mean and transient components. In the future scenario, the NC widens especially offshore due to the increased stratification; large- and particularly small-scale turbulence intensify. However, the most prominent change occurs in the Balearic Sea, where a substantial large-scale gyre is observed to develop, related to the NC destabilization. This Balearic Gyre (BG) induces an increase in smaller-scale KE, both stationary and transient. The BG is seasonally maintained (destabilized) during summer (winter) thanks to a persistent (eroded) core of Atlantic Water (AW). Interannual events show that the gyre is more powerful when the AW in the core of the BG reaches a depth greater than 150 m in some winters. Finally, during autumn, wind-driven eddying of the NC in the Ligurian Sea is expected to intensify due to its widening.",
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        "language": "",
        "libraryCatalog": "Numerical Models/Mesoscale to submesoscale dynamics",
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        "rights": "https://creativecommons.org/licenses/by/4.0/",
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        "creatorSummary": "Baldan et al.",
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        "version": 618,
        "itemType": "journalArticle",
        "title": "The Geography of Mediterranean Benthic Communities Under Climate Change",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Damiano",
            "lastName": "Baldan"
          },
          {
            "creatorType": "author",
            "firstName": "Yohann",
            "lastName": "Chauvier‐Mendes"
          },
          {
            "creatorType": "author",
            "firstName": "Diego",
            "lastName": "Panzeri"
          },
          {
            "creatorType": "author",
            "firstName": "Gianpiero",
            "lastName": "Cossarini"
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          {
            "creatorType": "author",
            "firstName": "Cosimo",
            "lastName": "Solidoro"
          },
          {
            "creatorType": "author",
            "firstName": "Vinko",
            "lastName": "Bandelj"
          }
        ],
        "abstractNote": "ABSTRACT \n            Seafloors are crucial to marine ecosystems for the functions and services they provide. Benthic organisms, vital to these ecosystems, are particularly vulnerable to climate change. Rising temperatures, ocean acidification, and shifting currents disrupt benthic species and communities, yet future related impact assessments remain limited. Here, we trained species distribution models with predictors from state of the art physical and biogeochemical marine models and a large database of species records (> 100,000 occurrences) to project the current and future distributions of ~350 benthic species (excluding cephalopods, invasive species, and commercially exploited species) and their related changes per site in diversity (α‐) and community composition (β‐diversity) over the Mediterranean Sea. We predicted most species to shift their distribution northwards for all future scenarios due to changes in water temperature and dissolved oxygen close to the seafloor, with up to 60% of species experiencing range contraction, 77% moving northwards, 20% experiencing range fragmentation (measured as range disjunctions in models' output), and 30% moving toward deeper waters over time. Cold‐adapted species were more likely to face range contraction and shifts towards deeper waters, while warm‐adapted species were more likely to face range expansions and shifts towards shallower waters. α‐diversity increased in the Northern and decreased in the Southern Mediterranean, respectively. Changes in β‐diversity within sites highlighted compositional changes (species turnover) in communities located in the Aegean and Tyrrhenian Seas, in deep parts of the Ionian Sea, and in coastal regions of the Adriatic Sea. Climate‐smart, ecosystem‐based Marine Spatial Planning can capitalize on the identified hotspots of species losses, gains, stability, and turnover. Prioritizing connectivity in regions of strong turnover and extending protected areas in regions with stable α‐diversity and limited turnover is recommended for improved conservation actions.",
        "publicationTitle": "Global Change Biology",
        "publisher": "",
        "place": "",
        "date": "02/2026",
        "volume": "32",
        "issue": "2",
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        "partNumber": "",
        "partTitle": "",
        "pages": "e70725",
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        "seriesTitle": "",
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        "journalAbbreviation": "Global Change Biology",
        "DOI": "10.1111/gcb.70725",
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        "ISSN": "1354-1013, 1365-2486",
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        "language": "en",
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        "dateAdded": "2026-07-01T17:20:45Z",
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        "creatorSummary": "Baldan et al.",
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        "key": "8T4A3SAI",
        "version": 617,
        "itemType": "journalArticle",
        "title": "Landscape‐Mediated Effects of Climate Change on Metacommunities Inhabiting Mediterranean Seagrass",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Damiano",
            "lastName": "Baldan"
          },
          {
            "creatorType": "author",
            "firstName": "David",
            "lastName": "Cunillera‐Montcusí"
          },
          {
            "creatorType": "author",
            "firstName": "Marco",
            "lastName": "Reale"
          },
          {
            "creatorType": "author",
            "firstName": "Stefano",
            "lastName": "Piani"
          },
          {
            "creatorType": "author",
            "firstName": "Fabrizio",
            "lastName": "Gianni"
          },
          {
            "creatorType": "author",
            "firstName": "Serena",
            "lastName": "Zunino"
          },
          {
            "creatorType": "author",
            "firstName": "Gianpiero",
            "lastName": "Cossarini"
          },
          {
            "creatorType": "author",
            "firstName": "Stefano",
            "lastName": "Salon"
          },
          {
            "creatorType": "author",
            "firstName": "Cosimo",
            "lastName": "Solidoro"
          },
          {
            "creatorType": "author",
            "firstName": "Vinko",
            "lastName": "Bandelj"
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        ],
        "abstractNote": "ABSTRACT \n             \n              Aim \n              Climate change affects dramatically biogenic habitats by altering the geographic distribution of the foundational species and the structure of landscapes they form. As a consequence, the associated biotic communities could experience habitat loss and fragmentation. In this paper, we assess how climate change impacts the geographic distribution of Mediterranean seagrass habitats and the cascading effects on the biodiversity of metacommunities they support. \n             \n             \n              Location \n              Mediterranean Sea. \n             \n             \n              Taxon \n               \n                 \n                  Posidonia oceanica \n                 \n                and \n                Cymodocea nodosa. \n               \n             \n             \n              Methods \n              We employ state‐of‐the‐art physical and biogeochemical data for the Mediterranean Sea to model the seagrass distribution in the present climate using Species Distribution Models (SDMs). Based on the identified habitat configuration, we employ a neutral metacommunity model (NMM) to simulate virtual metacommunities structured by stochastic demographic processes and dispersal. \n             \n             \n              Results \n              SDMs were fitted with acceptable performances. We show a strong range contraction for both seagrass species (with uncertain predictions for the Southern and Eastern Mediterranean), a decrease in alpha diversity of associated communities, and an increase in beta diversity at the Mediterranean scale. Such changes are solely the result of the rearrangement of the landscape caused by climate change and create an offset for any distributional change related to niche effects. For different basins, we show that patterns of alpha diversity under realistic species dispersal are strongly correlated with habitat availability, while beta diversity is largely influenced by the changes in the spatial configuration of seagrass habitats. \n             \n             \n              Main Conclusions \n              By highlighting hotspots of metacommunity change linked to habitat fragmentation, our method can be useful for planning conservation and restoration measures at local and regional scales. We show that, besides niche effects, climate change can impact species distribution by altering the landscape structure.",
        "publicationTitle": "Journal of Biogeography",
        "publisher": "",
        "place": "",
        "date": "12/2025",
        "volume": "52",
        "issue": "12",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e70105",
        "series": "",
        "seriesTitle": "",
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        "journalAbbreviation": "Journal of Biogeography",
        "DOI": "10.1111/jbi.70105",
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        "PMCID": "",
        "ISSN": "0305-0270, 1365-2699",
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        "shortTitle": "",
        "language": "en",
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        "dateAdded": "2026-07-01T17:20:25Z",
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        },
        "creatorSummary": "Akhtar et al.",
        "parsedDate": "2019",
        "numChildren": 0
      },
      "data": {
        "key": "KLE59S3Z",
        "version": 616,
        "itemType": "journalArticle",
        "title": "European marginal seas in a regional atmosphere–ocean coupled model and their impact on Vb-cyclones and associated precipitation",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Naveed",
            "lastName": "Akhtar"
          },
          {
            "creatorType": "author",
            "firstName": "Amelie",
            "lastName": "Krug"
          },
          {
            "creatorType": "author",
            "firstName": "Jennifer",
            "lastName": "Brauch"
          },
          {
            "creatorType": "author",
            "firstName": "Thomas",
            "lastName": "Arsouze"
          },
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            "creatorType": "author",
            "firstName": "Christian",
            "lastName": "Dieterich"
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            "creatorType": "author",
            "firstName": "Bodo",
            "lastName": "Ahrens"
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        "abstractNote": "",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "11/2019",
        "volume": "53",
        "issue": "9-10",
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        "partNumber": "",
        "partTitle": "",
        "pages": "5967-5984",
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        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-019-04906-x",
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        "ISSN": "0930-7575, 1432-0894",
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            "firstName": "Erwan",
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        "abstractNote": "Abstract. Projected impacts of climate change are assessed with impact models, such as ecological or hydrological models, driven by climate projections. Uncertainties of projected impacts are estimated by driving impact models with a large ensemble of plausible future climate projections. However, most of the time, this is not possible for practical reasons: computing time, data availability. To fix this issue, we propose an approach that links climate projections to impacts with an interpretable equation. First, this equation is discovered based on simulations of the impact model and their corresponding climate projections. Then, we consider that this equation can be used to emulate the impact model for other climate projections. Specifically, the discovered equation maps each year climate indicators, i.e. a list of yearly and seasonally-averaged climate model variables, to a yearly-averaged impact indicator, i.e. a variable computed from the impact model outputs. In our application, the impact indicator is the annual mean Net Primary Production (NPP) of a risk-relevant regional oceanic area located in the North-Western Mediterranean basin. It is computed from the outputs of a biogeochemical model of the Mediterranean Sea, which is driven by climate projections of a coupled regional climate model of the Mediterranean area. In our methodology, we run nine validation schemes each one providing one equation to predict this impact indicator. Our results show that all discovered equations are linear, even though non-linearity is allowed, and that most of them contain four climate indicators that can be interpreted physically: the sea surface temperatures in winter and spring, the sea surface salinity in spring, and the net downward shortwave flux in winter. Based on these four indicators, we fit a linear equation on the historical period (1986–2005) and the scenario RCP8.5 (2006–2099) that reproduces well the trend and the year-to-year correlation of the impact indicator for the scenario RCP4.5 (2006–2099), which was not used for the fit. The predictions of the linear equation however underestimate the interannual variance of NPP. As a perspective, this equation allows us to approximate the impact indicator at a neglected computational cost, i.e. without running the costly biogeochemical impact model, for any regional climate model outputs available.",
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        "title": "Moisture sources of heavy precipitation in Central Europe in synoptic situations with Vb-cyclones",
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        "abstractNote": "Abstract \n             \n              During the past century, several extreme summer floods in Central Europe were associated with so-called Vb-cyclones propagating from the Mediterranean Sea north-eastward to Central Europe. The processes intensifying the precipitation in synoptic situations with Vb-cyclones in the Danube, Elbe, and Odra catchments are only partially understood. Our study aims to investigate these processes with Lagrangian moisture-source diagnostics for 16 selected Vb-events. Moreover, we analyse the characteristics of typical moisture source regions during 1107 Vb-events from 1901 to 2010 based on ERA-20C reanalysis dynamically downscaled with COSMO-CLM+NEMO. We observe moisture contributions by various source regions highlighting the complex dynamical interplay of different air masses leading to moisture convergence in synoptic situations with Vb-cyclones. Overall, up to 80% of the precipitation originates from the European continent, indicating the importance of continental moisture recycling, especially within the respective river catchment. Other major moisture uptake regions are the North Sea, the Baltic Sea, the North Atlantic, and for a few events the Black Sea. Remarkably, anomalies in these oceanic source regions show no connection to precipitation amounts in synoptic situations with Vb-cyclones. In contrast, the Vb-cyclones with the highest precipitation are associated with anomalously high evaporation in the Mediterranean Sea, even though the Mediterranean Sea is only a minor moisture source region on average. Interestingly, the evaporation anomalies are not connected with sea-surface temperature but with wind-speed anomalies (Spearman’s rank correlation coefficient \n               \n                 \n                  $$R\\approx$$ \n                   \n                     \n                      R \n                      ≈ \n                     \n                   \n                 \n               \n               0.7, significant with \n               \n                 \n                  $$p<0.01$$ \n                   \n                     \n                      p \n                      < \n                      0.01 \n                     \n                   \n                 \n               \n              ) indicating mainly dynamically driven evaporation. The particular role of the Mediterranean Sea hints towards possible importance of Mediterranean moisture for the early-stage intensification of Vb-cyclones and the pre-moistening of the continental uptake regions upstream of the target catchments.",
        "publicationTitle": "Climate Dynamics",
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        "date": "12/2022",
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        "title": "Climate projections of the Adriatic Sea: role of river release",
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            "firstName": "Giorgia",
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            "creatorType": "author",
            "firstName": "Alfonso",
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            "creatorType": "author",
            "firstName": "Vladimir",
            "lastName": "Santos da Costa"
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            "creatorType": "author",
            "firstName": "Alessandro",
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            "creatorType": "author",
            "firstName": "Giusy",
            "lastName": "Fedele"
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            "creatorType": "author",
            "firstName": "Ilenia",
            "lastName": "Manco"
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            "creatorType": "author",
            "firstName": "Lorenzo",
            "lastName": "Mentaschi"
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            "creatorType": "author",
            "firstName": "Emanuela",
            "lastName": "Clementi"
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            "creatorType": "author",
            "firstName": "Giovanni",
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            "creatorType": "author",
            "firstName": "Paola",
            "lastName": "Mercogliano"
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            "firstName": "Giuseppe",
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        "abstractNote": "The Adriatic Sea, characterized by unique local features in comparison to the broader Mediterranean Sea, stands out as a highly susceptible region to climate change. In this context, our study involves a focused climate downscaling approach, concentrating on the Adriatic's water cycle. This encompasses integrated modeling at the mesoscale, covering the atmosphere, hydrology, and marine general circulation. The study period spans from 1992 to 2050, considering the high emission scenario RCP8.5.We aim at evaluating how the river release projection affects the local density stratification and the sea level rise. Indeed, the river release is found to decrease by about 35% in the mid-term future and to condition the stratification of the water column with differences between the Northern and Southern sub-basins.The projected runoff decrease has a major impact on the Northern sub-basin, where the stratification is haline-dominated and the foreseen salinization prevails on the heating through the whole water column. Conversely, the runoff decrease has a lower impact in the Southern sub-basin, where the future changes of other mechanisms may play a major role, e.g. the changing properties of the Mediterranean water entering the Otranto Strait, and the foreseen heating prevails on the salinization at the intermediate to deep water column.The study provides a first evidence of how the decreasing river discharge locally reduces the density stratification, increases the dense water and mitigates the sea level rise in the Northern Adriatic Sea, thus acting in the opposite direction to the global warming.In order to minimize uncertainty in coastal ocean projections around the word, it is essential that the climate downscaling integrates high-resolution hydrology and hydrodynamics models to correctly reproduce the link between surface buoyancy and stratification and thus the resulting dynamics.",
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        "journalAbbreviation": "Front. Clim.",
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        "title": "Levante and Poniente winds in the Strait of Gibraltar: Present and future characterization using regional climate models",
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        "publicationTitle": "Atmospheric Research",
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        "creatorSummary": "Warrach‐Sagi et al.",
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        "key": "K26QZ8LL",
        "version": 605,
        "itemType": "journalArticle",
        "title": "Preconditioning of Local Convective Initiation in Central Europe by Land–Atmosphere Coupling: Heated Condensation Framework Diagnostics",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Kirsten",
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            "creatorType": "author",
            "firstName": "Noah",
            "lastName": "Breuninger"
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            "creatorType": "author",
            "firstName": "Josipa",
            "lastName": "Milovac"
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        ],
        "abstractNote": "Abstract\n            This study investigates the role of land‐atmosphere coupling in favorable conditions for locally triggered convection in central Europe. The region is in so‐called transitional zones located between wet and dry climates, which favor land‐atmosphere coupling in summer. To quantify the strength of such land‐atmosphere coupling and its impact on local convection events, the Heated Condensation Framework is applied to analyze hourly vertical profiles of temperature and moisture. The analyzed profiles are based on simulations over the 2000–2011 period at convection permitting scale with the Weather Research and Forecasting (WRF) model. Depending on the characteristics of these profiles, regions either require more heat or more moisture to initiate convection during the course of the day. Temporal and regional aspects of these requirements are identified and quantified. The analysis reveals distinct patterns and regional variations in the frequency of favorable conditions for convection initiation and anomalies across different years, with areas in the northernmost parts of the study domain experiencing the highest frequency of convection‐preconditioning. Negative temperature anomalies of more than 2 K occurred in positive convection initiation preconditioning anomalies in the summer months of 2007, while positive temperature anomalies appeared in 2003, and in June and July 2006 during negative convection initiation preconditioning anomalies. The study emphasizes the importance of accessibility to the diurnal variability of vertically high‐resolution humidity and temperature profiles from convection permitting simulations for the investigation of the relationships between land‐atmosphere coupling and initiation of convection.\n          , \n            Plain Language Summary\n            In central Europe, the interaction between land and atmosphere affects when and where local convection begins, especially in areas that are between wet and dry climate zones. By examining detailed changes in temperature and moisture throughout the lower atmosphere, it becomes clear that some regions need more heat, while others need more moisture for convection to start on a given day. These requirements and the frequency of convection initiation vary by location and year, with northern areas showing more frequent convection events. Cooler summer months tend to bring more frequent convection initiation, while particularly hot periods see fewer of these events. This study shows that having detailed information on how temperature and moisture change during the day is important for understanding how land conditions can trigger local convection.\n          , \n            Key Points\n            \n              \n                \n                  Land‐atmosphere coupling in transitional zones impacts local convection initiation in central Europe\n                \n                \n                  Land‐atmosphere coupling in transitional zones impacts local convection initiation in central Europe\n                \n                \n                  Negative summer temperature anomalies increase convection initiation, while positive anomalies reduce it in certain years",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
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        "date": "2026-05-28",
        "volume": "131",
        "issue": "10",
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        "partTitle": "",
        "pages": "e2025JD045685",
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        "journalAbbreviation": "JGR Atmospheres",
        "DOI": "10.1029/2025JD045685",
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        "PMCID": "",
        "ISSN": "2169-897X, 2169-8996",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Preconditioning of Local Convective Initiation in Central Europe by Land–Atmosphere Coupling",
        "language": "en",
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        "title": "Marine heatwaves in the Mediterranean Sea: a convolutional neural network study for extreme event prediction",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Antonios",
            "lastName": "Parasyris"
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            "firstName": "Sofia",
            "lastName": "Darmaraki"
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        "abstractNote": "In recent decades, the Mediterranean Sea has experienced a notable rise in the occurrence and intensity of extreme warm temperature events, referred to as marine heatwaves (MHWs). Hence, the ability to forecast Mediterranean MHWs in the short term is an area of ongoing research. Here, we introduce a novel machine learning (ML) approach specifically tailored for short-term predictions of MHWs in the basin using an attention U-Net convolutional neural network. Trained on daily sea surface temperature anomalies (SSTAs) and gridded fields of MHW presence and absence between 1982–2017, our model generates a spatiotemporal forecast of MHW occurrence up to 7 d in advance. To ensure robust performance, we explore various configurations, including different forecast horizons and U-Net architectures, number of input days, features, and different subset splits of train–test datasets. Comparative analysis against a persistence benchmark reveals an improvement of 15 % in forecasting accuracy of MHW presence for a 7 d forecast horizon. We also demonstrate an improvement of MHW prediction accuracy as the forecast horizon decreases, albeit with a smaller discrepancy between the persistence benchmark, which also results in high accuracy for the 3 d forecasts. Our proposed ML methodology offers a data-driven prediction of MHWs with reduced computational requirements, which can be applied across different regions of the global ocean, providing relevant stakeholders and management authorities with essential lead time for implementing effective mitigation strategies.",
        "publicationTitle": "Ocean Science",
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        "date": "2025-05-07",
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        "pages": "897-912",
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        "DOI": "10.5194/os-21-897-2025",
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        "shortTitle": "Marine heatwaves in the Mediterranean Sea",
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        "creatorSummary": "Réveillet et al.",
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        "version": 603,
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        "title": "Black carbon and dust alter the response of mountain snow cover under climate change",
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            "firstName": "Marion",
            "lastName": "Réveillet"
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            "firstName": "Samuel",
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            "firstName": "Paul",
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        "abstractNote": "By darkening the snow surface, mineral dust and black carbon (BC) deposition enhances snowmelt and triggers numerous feedbacks. Assessments of their long-term impact at the regional scale are still largely missing despite the environmental and socio-economic implications of snow cover changes. Here we show, using numerical simulations, that dust and BC deposition advanced snowmelt by 17 ± 6 days on average in the French Alps and the Pyrenees over the 1979–2018 period. BC and dust also advanced by 10-15 days the peak melt water runoff, a substantial effect on the timing of water resources availability. We also demonstrate that the decrease in BC deposition since the 1980s moderates the impact of current warming on snow cover decline. Hence, accounting for changes in light-absorbing particles deposition is required to improve the accuracy of snow cover reanalyses and climate projections, that are crucial for better understanding the past and future evolution of mountain social-ecological systems.",
        "publicationTitle": "Nature Communications",
        "publisher": "",
        "place": "",
        "date": "2022-09-20",
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        "partNumber": "",
        "partTitle": "",
        "pages": "5279",
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        "journalAbbreviation": "Nat Commun",
        "DOI": "10.1038/s41467-022-32501-y",
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            "tag": "Cryospheric science",
            "type": 1
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        "creatorSummary": "Richon et al.",
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        "title": "Modeling the impacts of atmospheric deposition of nitrogen and desert dust-derived phosphorus on nutrients and biological budgets of the Mediterranean Sea",
        "creators": [
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            "creatorType": "author",
            "firstName": "Camille",
            "lastName": "Richon"
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            "firstName": "Rong",
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            "firstName": "Yves",
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        "publicationTitle": "Progress in Oceanography",
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        "version": 600,
        "itemType": "journalArticle",
        "title": "Impact of climate change on snow melt driven runoff timing over the Alpine region",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Erika",
            "lastName": "Coppola"
          },
          {
            "creatorType": "author",
            "firstName": "Francesca",
            "lastName": "Raffaele"
          },
          {
            "creatorType": "author",
            "firstName": "Filippo",
            "lastName": "Giorgi"
          }
        ],
        "abstractNote": "We investigate the climate change impact on snowmelt-driven runoff (SDR) over the Alpine region using the output from two Med-CORDEX and two EURO-CORDEX regional climate model projections (RCP8.5 scenario) at two resolutions (12, 50 km) driven by a sub-set of the CMIP5 GCMs. Comparison with the European Water Archive observed runoff dataset (242 stations) over the Alps shows a good performance by the higher resolution models in representing present day SDR, with the lower resolution simulations being less accurate in capturing the SDR timing. In the future projections all the models show a temperature increase of up to 4° by the end of the 21st century throughout the Alps and this leads to an anticipation of SDR timing throughout the year that can span from 1 to 3 months depending on the model horizontal resolution. These timing changes are associated with changes in snow cover modulated by the complex Alpine topography. In fact, model resolution plays a critical role in regulating the magnitude, timing and spatial distribution of the response of snow cover and SDR to warming. We find that the accurate simulation of changes in runoff timing requires a high resolution representation of the Alpine topography, and can be important for water storage regulations concerning energy production, agriculture and domestic use.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2018-08-01",
        "volume": "51",
        "issue": "3",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "1259-1273",
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        "language": "en",
        "libraryCatalog": "Springer Link",
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        "tags": [
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            "tag": "Alps",
            "type": 1
          },
          {
            "tag": "Change hydrological cycle",
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          {
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        "abstractNote": "Droughts and heatwaves are amongst the most frequent hazards in Australia. They cause severe impacts to society and the environment, and the magnitude of impacts increase when they are compounded- occurring simultaneously or sequentially. Using CMIP6 projections dynamically downscaled with the Conformal Cubic Atmospheric Model to a 10 km resolution over Australia, we examine the impact of climate change on compound drought heatwave events (CDHWs). We define droughts using the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI), and for heatwaves use the Excess Heat Factor. In the historical period, most models capture the temperature-precipitation correlation well, however, most fail to capture the observed strengthening of this relationship over time. The models also over-estimate the number of CDHWs. In the historical period, the choice of SPEI or SPI has little impact on CDHWs, however for climate change impacts, using SPEI results in more severe impacts with less uncertainty. Under SSP370, by the end of the century, for SPEI CDHWs, there are around 3 more events/year, versus little change for SPI CDHWs. However, the duration of both events increase by around 3 days. A global warming level (GWL) analysis shows spikes in impacts when moving from 2 to 3°C, with a doubling in the number of SPEI CDHWs for Northern Australia. Moving from 3 to 4°C of warming, the length of SPEI CDHWs increases from 8 to 13 days in Northern Australia. This highlights the urgent need to reduce emissions to avoid more than 2°C of warming. A storyline analysis reveals that even in a wetter future, CDHWs will increase due to increasing temperatures and heatwaves, showing that as the climate warms, CDHWs are likely to increase despite uncertainty in precipitation projections. This research applies a novel approach to examine CDHWs using downscaled climate simulations, considering two drought metrics, GWLs and storylines, offering new insights to disentangle uncertainty in future compound extreme events.",
        "publicationTitle": "Environmental Research Letters",
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            "firstName": "Rohan",
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        "abstractNote": "Climate change is projected to lead to changes in rainfall patterns, which, when coupled with increasing evapotranspiration, have the potential to exacerbate future droughts. This study investigates the impacts of climate change on meteorological droughts in Australia using downscaled high-resolution CMIP6 climate models under three Shared Socioeconomic Pathway (SSP) scenarios. The Standardised Precipitation Index (SPI) and the Standardised Precipitation Evapotranspiration Index (SPEI) were used to assess changes to the frequency, duration, percent time, and spatial extent of droughts. There were consistent increases in droughts projected for southwest Western Australia, southern Victoria, southern South Australia, and western Tasmania using SPI and SPEI. There were significantly larger increases for SPEI-derived droughts, with consistent increases projected for most of the country. Increases in drought appear to have mostly come at the expense of “normal” climatic conditions, with similar or increased time spent under extreme wet conditions, indicating an overall shift towards more extreme climatic conditions. The largest increases occurred at the end of the century and under the high-emissions scenario (SSP370), demonstrating the influence of emissions on extreme droughts. For instance, if emissions reached high levels by the end of the century, the area subject to extreme drought in drought-prone Southern Australia would be 2.8 times greater than if they were kept to low levels using SPI and 4 times greater if assessed using SPEI. The insights generated from these results and supplementary tailored datasets for Australian local government areas and river basins are essential to better inform decision-making and future adaptation strategies at national, regional, and local scales.",
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            "firstName": "H.",
            "lastName": "Zhang"
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        "abstractNote": "Quantifying the impact of climate change on actual and potential evapotranspiration (AET and PET) is essential for water security, agricultural production and environmental management. Using dynamically downscaled CMIP6 models at 10 km resolution, we assess AET and PET at a daily time step using the Morton method and projected future changes to both PET and AET under three emission scenarios (SSP126, 245, 370) for Australia. The performance of observation- and downscaled climate model-based AET is assessed against measured AET from 26 OzFlux sites in Australia. We show that high resolution downscaled climate models can provide reasonably accurate estimations of AET, with an ensemble mean error of 17 % for historical period 1981-2010. This compared favourably to observation- and reanalysis-based products, which reported mean errors ranging from 15.7 %-44 %. Annual average end-of-century AET projections for low and intermediate emission scenarios (SSP126 and SSP245) show a decrease of -4.5 % and -3.5 % respectively in Australia, while under high emissions (SSP370) AET was projected to increase by 1.8 %. In contrast, PET was projected to increase by 5.0 % for SSP126, 8.4 % for SSP245 and 11.5 % for SSP370. Using a random forest model, we show that the primary controlling factors for changes in AET are precipitation and solar radiation, and solar radiation and maximum temperature for PET. Our results offer new insights into future AET and PET changes estimated using downscaled CMIP6 simulations with implications for agriculture, water supply and natural resource management. © 2025 Hong Zhang et al.",
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        "title": "Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2",
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        "title": "A CMIP6-based multi-model downscaling ensemble to underpin climate change services in Australia",
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            "firstName": "Michael R.",
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        "abstractNote": "Low pressure systems are associated with a number of climate hazards in Australia, including heavy rainfall, strong winds and coastal erosion. Here, we use a new ensemble of 40 CMIP6 (Sixth Coupled Model Intercomparison Project)-based regional model projections to assess future changes in low pressure systems across Australia, with a focus on vertically developed (deep) cyclones that extend between the surface and 500 hPa. Results show robust future declines in extratropical lows in southern Australia throughout the year, with large uncertainty for lows in northern Australia. Projections for strong, rapidly intensifying and slow-moving low pressure systems are also assessed, and are all projected to decline in frequency. The strongest declines in lows are identified for models that also have larger increases in the intensity of 500-hPa zonal winds to the south of Australia (40–50°S), with observed trends in both indices at the high end of the model range. This suggests the potential for constraining future projections of Australian low pressure systems based on monthly mean zonal winds.",
        "publicationTitle": "Journal of Southern Hemisphere Earth Systems Science",
        "publisher": "",
        "place": "",
        "date": "2025-10-15",
        "volume": "75",
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        "pages": "ES25025",
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        "itemType": "journalArticle",
        "title": "Regionalized Mediterranean relative sea level projections under high-emission regional climate scenarios",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "I M",
            "lastName": "Parras-Berrocal"
          },
          {
            "creatorType": "author",
            "firstName": "R",
            "lastName": "Waldman"
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            "firstName": "N M",
            "lastName": "Gonzalez"
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            "lastName": "Ahrens"
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            "lastName": "Cabos"
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            "firstName": "G",
            "lastName": "Jordà"
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            "firstName": "P",
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            "firstName": "G",
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          },
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            "firstName": "S",
            "lastName": "Somot"
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        ],
        "abstractNote": "Abstract\n            Future sea level (SL) change in the Mediterranean Sea is one of the major climate hazards for populations living in coastal areas. In this study, we analyze projections of relative SL (RSL) rise in the Mediterranean Sea until the end of the 21st century. For the first time, we provide a detailed characterization of regional patterns of future SL change using an ensemble of three multi-decadal SSP5-8.5 scenario simulations with high-resolution fully coupled regional climate system models (RCSMs) of the Med-CORDEX initiative and their driving global climate models (GCMs). At the basin-scale, RCSMs do not significantly modify the GCM-projected RSL changes by 2100, with a mean RSL change of 69 cm (60–93 cm, 17th-83rd percentiles) relative to 1995–2014. Among the RSL components, the sterodynamic (primarily driven by the global thermal expansion) and the surface mass balance drive the basin-scale RSL rise, with the latter being the largest source of uncertainty. We find that the RSL rise in the Mediterranean is expected to be 4%–12% lower than the global mean due to differences in the surface mass contribution, and 6%–15% lower than in the nearby Atlantic as a result of dynamic adjustments within the semi-enclosed basin. While dynamic SL drives the mean regional patterns, vertical land motion introduces the greatest local spatial variability along coasts, resulting in a projected local RSL rise by 2100 of −26 cm to +178 cm in GCMs and −39 cm to +170 cm in RCSMs. Furthermore, compared to GCMs, RCSMs incorporate local details that result in greater spatial variability, which is important to consider in risk assessments and adaptation planning.",
        "publicationTitle": "Environmental Research Letters",
        "publisher": "",
        "place": "",
        "date": "2025-11-01",
        "volume": "20",
        "issue": "11",
        "section": "",
        "partNumber": "",
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        "pages": "114068",
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        "seriesText": "",
        "journalAbbreviation": "Environ. Res. Lett.",
        "DOI": "10.1088/1748-9326/ae15a5",
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        "title": "Towards better understanding the urban environment and its interactions with regional climate change - The WCRP CORDEX Flagship Pilot Study URB-RCC",
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            "creatorType": "author",
            "firstName": "Gaby S.",
            "lastName": "Langendijk"
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            "creatorType": "author",
            "firstName": "Tomas",
            "lastName": "Halenka"
          },
          {
            "creatorType": "author",
            "firstName": "Peter",
            "lastName": "Hoffmann"
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          {
            "creatorType": "author",
            "firstName": "Marianna",
            "lastName": "Adinolfi"
          },
          {
            "creatorType": "author",
            "firstName": "Aitor",
            "lastName": "Aldama Campino"
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            "creatorType": "author",
            "firstName": "Olivier",
            "lastName": "Asselin"
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          {
            "creatorType": "author",
            "firstName": "Sophie",
            "lastName": "Bastin"
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            "creatorType": "author",
            "firstName": "Benjamin",
            "lastName": "Bechtel"
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          {
            "creatorType": "author",
            "firstName": "Michal",
            "lastName": "Belda"
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            "creatorType": "author",
            "firstName": "Angelina",
            "lastName": "Bushenkova"
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            "creatorType": "author",
            "firstName": "Angelo",
            "lastName": "Campanale"
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            "creatorType": "author",
            "firstName": "Kwok Pan",
            "lastName": "Chun"
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            "creatorType": "author",
            "firstName": "Katiana",
            "lastName": "Constantinidou"
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            "firstName": "Erika",
            "lastName": "Coppola"
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            "firstName": "Matthias",
            "lastName": "Demuzere"
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            "firstName": "Quang-Van",
            "lastName": "Doan"
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            "firstName": "Hendrik",
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            "firstName": "Jesus",
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            "firstName": "Lluís",
            "lastName": "Fita"
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            "firstName": "Panos",
            "lastName": "Hadjinicolaou"
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            "firstName": "Rafiq",
            "lastName": "Hamdi"
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            "creatorType": "author",
            "firstName": "Marie",
            "lastName": "Hundhausen"
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            "firstName": "David",
            "lastName": "Grawe"
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            "creatorType": "author",
            "firstName": "Frederico",
            "lastName": "Johannsen"
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            "firstName": "Josipa",
            "lastName": "Milovac"
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            "firstName": "Eleni",
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            "firstName": "Nour El Islam",
            "lastName": "Kerroumi"
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            "creatorType": "author",
            "firstName": "Sven",
            "lastName": "Kotlarski"
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            "firstName": "Benjamin",
            "lastName": "Le Roy"
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            "firstName": "Aude",
            "lastName": "Lemonsu"
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            "firstName": "Christopher",
            "lastName": "Lennard"
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            "creatorType": "author",
            "firstName": "Mathew",
            "lastName": "Lipson"
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            "creatorType": "author",
            "firstName": "Shailendra",
            "lastName": "Mandal"
          },
          {
            "creatorType": "author",
            "firstName": "Luís E.",
            "lastName": "Muñoz Pabón"
          },
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            "creatorType": "author",
            "firstName": "Vassileios",
            "lastName": "Pavlidis"
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            "firstName": "Joni-Pekka",
            "lastName": "Pietikäinen"
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            "creatorType": "author",
            "firstName": "Mario",
            "lastName": "Raffa"
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            "creatorType": "author",
            "firstName": "Eloisa",
            "lastName": "Raluy-López"
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            "creatorType": "author",
            "firstName": "Diana",
            "lastName": "Rechid"
          },
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            "creatorType": "author",
            "firstName": "Rui",
            "lastName": "Ito"
          },
          {
            "creatorType": "author",
            "firstName": "Jan-Peter",
            "lastName": "Schulz"
          },
          {
            "creatorType": "author",
            "firstName": "Pedro M.M.",
            "lastName": "Soares"
          },
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            "creatorType": "author",
            "firstName": "Yuya",
            "lastName": "Takane"
          },
          {
            "creatorType": "author",
            "firstName": "Claas",
            "lastName": "Teichmann"
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          {
            "creatorType": "author",
            "firstName": "Marcus",
            "lastName": "Thatcher"
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            "firstName": "Sara",
            "lastName": "Top"
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            "firstName": "Bert",
            "lastName": "Van Schaeybroeck"
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            "firstName": "Fuxing",
            "lastName": "Wang"
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            "creatorType": "author",
            "firstName": "Jiacan",
            "lastName": "Yuan"
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        ],
        "abstractNote": "",
        "publicationTitle": "Urban Climate",
        "publisher": "",
        "place": "",
        "date": "11/2024",
        "volume": "58",
        "issue": "",
        "section": "",
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        "partTitle": "",
        "pages": "102165",
        "series": "",
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        "dateAdded": "2026-02-04T15:56:01Z",
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        },
        "creatorSummary": "Meucci et al.",
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        "title": "Resilience of offshore wind resources in Australia under climate change using CMIP6 CORDEX projections",
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            "firstName": "Alberto",
            "lastName": "Meucci"
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            "creatorType": "author",
            "firstName": "Guisela",
            "lastName": "Grossmann-Matheson"
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            "firstName": "Chun-Hsu",
            "lastName": "Su"
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            "firstName": "Bryan",
            "lastName": "Hally"
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            "firstName": "Vanessa",
            "lastName": "Hernaman"
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            "creatorType": "author",
            "firstName": "Daniel A.",
            "lastName": "Machado"
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            "firstName": "Ali",
            "lastName": "Tamizi"
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          {
            "creatorType": "author",
            "firstName": "Ian R.",
            "lastName": "Young"
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        "publicationTitle": "Energy and Climate Change",
        "publisher": "",
        "place": "",
        "date": "12/2026",
        "volume": "7",
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        "partNumber": "",
        "partTitle": "",
        "pages": "100236",
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        "creators": [
          {
            "creatorType": "author",
            "firstName": "Vera",
            "lastName": "Maurer"
          },
          {
            "creatorType": "author",
            "firstName": "Wibke",
            "lastName": "Düsterhöft-Wriggers"
          },
          {
            "creatorType": "author",
            "firstName": "Rebekka",
            "lastName": "Beddig"
          },
          {
            "creatorType": "author",
            "firstName": "Janna",
            "lastName": "Meyer"
          },
          {
            "creatorType": "author",
            "firstName": "Claudia",
            "lastName": "Hinrichs"
          },
          {
            "creatorType": "author",
            "firstName": "Ha Thi Minh",
            "lastName": "Ho-Hagemann"
          },
          {
            "creatorType": "author",
            "firstName": "Joanna",
            "lastName": "Staneva"
          },
          {
            "creatorType": "author",
            "firstName": "Birte-Marie",
            "lastName": "Ehlers"
          },
          {
            "creatorType": "author",
            "firstName": "Frank",
            "lastName": "Janssen"
          }
        ],
        "abstractNote": "Abstract. Evaluation results from the reanalysis-driven (ERA5/ORAS5) simulation for the years 1979–2021 with a regional coupled ocean–atmosphere model (ROAM) are presented. The coupled setup portrayed here is one of the first regional climate modeling systems to couple the ICON atmosphere model in climate limited-area mode (CLM) with the ocean model NEMO for the North and Baltic Sea (NBS), using a flux-based OASIS3-MCT coupling approach. Along with the simulation using the coupled model configuration ROAM-NBS, the simulations with the uncoupled components (ICON-CLM and NEMO-NBS, respectively) are analyzed and compared with various observational datasets. ROAM-NBS complements atmosphere-only climate projections with the same atmospheric model and setup, which will all be published in accordance with EURO-CORDEX specifications. Climate projections by ROAM-NBS will enrich the data available to support the German Strategy for Adaptation to Climate Change (DAS), especially for our target region, which are the German national waters. In general, the mean model climate is well represented by all setups. The sea surface temperature (SST) bias is, on average, about ±0.5 K. Differences in fluxes and precipitation over the ocean between the coupled and uncoupled simulations are largely related to SST differences. However, the mean influence on the land areas is negligible. The evaluations of ocean variables indicate a strong agreement between ROAM-NBS and NEMO-NBS. Compared to observations, both simulations overestimate sea ice concentration and extent. Mean temperature and salinity profiles in the Baltic Sea are generally reproduced by both simulations, with biases in the deeper layers. Major inflow events are captured but underestimated. Sea surface height and storm surge highly coincide with observational data, with NEMO-NBS slightly outperforming ROAM-NBS in terms of correlation. The marine heat wave (MHW) evaluation against observations in the North and Baltic Sea demonstrates that the simulations capture the inter-annual variability of MHW characteristics. Overall, the coupled simulation demonstrates adequate performance for both the atmosphere and the ocean, and the setup will be used to produce coupled regional climate projections for Europe. However, bias correction for the deeper Baltic layers remains necessary for further applications, and future work will focus on refining the setup for this region.",
        "publicationTitle": "Geoscientific Model Development",
        "publisher": "",
        "place": "",
        "date": "2026-01-15",
        "volume": "19",
        "issue": "1",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "543-578",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Geosci. Model Dev.",
        "DOI": "10.5194/gmd-19-543-2026",
        "citationKey": "",
        "url": "https://gmd.copernicus.org/articles/19/543/2026/",
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            "lastName": "Asselin"
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            "firstName": "Dominic",
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        "abstractNote": "Abstract\n            This paper presents Ouranos’ contribution to the North American component of the Coordinated Regional Climate Downscaling Experiment (NA-CORDEX). The fifth-generation Canadian Regional Climate Model (CRCM5) is driven by four global models from the sixth phase of the Coupled Model Intercomparison Project (CMIP6). Simulations are produced at 0.11° horizontal grid spacing over North America from 1950 to 2100. Up to four different emissions scenarios are used for future climate simulations (2015–2100). Five ensemble members are available for a selected model and scenario. Here, we describe the model, the chosen configuration, model validation and provide instructions for accessing the data.",
        "publicationTitle": "Scientific Data",
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        "title": "Wind Over the Adriatic Region in CORDEX Climate Change Scenarios",
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            "firstName": "Andreina",
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            "lastName": "Telišman Prtenjak"
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        "abstractNote": "Abstract \n            Near‐surface winds over the Adriatic region are examined under present‐day and future climate conditions for two greenhouse gas scenarios (Representative Concentration Pathway 4.5 and Representative Concentration Pathway 8.5) with an ensemble of high‐resolution (0.11°) Coordinated Regional Climate Downscaling Experiment (CORDEX) simulations. The influence of particular combinations of regional climate models and global climate models and emission scenarios on the future changes in the near‐surface wind field has been explored in more detail. Starting with the seasonal climate change signal in large‐scale flow over the entire CORDEX domain, we focus on regional daily wind fields over the Adriatic domain and subdaily features of well‐known regional winds (Bora and Sirocco winds). The analysis reveals the strong sensitivity of the climate change signal in the simulated wind flow to (i) the choice of the global climate model that provides the boundary conditions and (ii) the analyzed locations across the Adriatic region. The results of the 21st‐century projections indicate that the changes in synoptic activity have an impact on the wind field at the (sub)daily time scale. We found a reduction in the number of Bora events and increase in the number of Sirocco events in northern Adriatic during the winter season, with an increase in pressure in the middle of the 21st century. Overall, the mean wind speed during Bora and Sirocco events is reduced, except for Bora in northern Adriatic. For the summer season, we found a large increase in the number of thermally induced flows, which is probably caused by the weakening of the Azores High. \n          ,  \n            Key points \n             \n               \n                 \n                  The spread between simulations is comparable to the order of magnitude of the changes, except in areas of the most excessive change \n                 \n                 \n                  Boundary conditions from global climate models govern the spread in large-scale pattern, but regional climate models dominate on local scales \n                 \n                 \n                  Climate change signal is the strongest for the high‐end emission scenario for the late 21st century",
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        "place": "",
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        "pages": "110-130",
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        "title": "State of the Simulation of Mesoscale Winds in the Mediterranean and Opportunities for Improvements",
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            "firstName": "Anika",
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        "abstractNote": "The Mediterranean region is a densely populated and economically relevant area with complex orography including mountain ranges, islands, and straits. In combination with pressure gradients, this creates many mesoscale wind systems that cause, e.g., wind gusts and wildfire risk in the Mediterranean. This article reviews the recent state of the science of several mesoscale winds in the Mediterranean and associated processes. Previous work, including case studies on several time ranges and resolutions, as well as studies on these winds under future climate conditions, is discussed. Simulations with grid spacings of 25 to 50 km can reproduce winds driven by large-scale pressure patterns such as Mistral, Tramontane, and Etesians. However, these simulations struggle with the correct representation of winds channeled in straits and mountain gaps and around islands. Grid spacings of 1–3 km are certainly necessary to resolve these small-scale features. The smaller grid spacings are widely used in case studies, but not yet in simulations over large areas and long periods, which also could help to understand the interaction between small-scale phenomena in separate locations. Furthermore, by far not all Mediterranean straits, islands, and mountain gaps were studied in-depth and many interesting Mediterranean small-scale winds still need to be studied.",
        "publicationTitle": "Atmosphere",
        "publisher": "",
        "place": "",
        "date": "2022-06-22",
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        "pages": "1007",
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        "creatorSummary": "Carillo et al.",
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        "title": "Steric sea level rise over the Mediterranean Sea: present climate and scenario simulations",
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            "firstName": "A.",
            "lastName": "Carillo"
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            "firstName": "G.",
            "lastName": "Sannino"
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            "creatorType": "author",
            "firstName": "V.",
            "lastName": "Artale"
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            "creatorType": "author",
            "firstName": "P. M.",
            "lastName": "Ruti"
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            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Calmanti"
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          {
            "creatorType": "author",
            "firstName": "A.",
            "lastName": "Dell’Aquila"
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        ],
        "abstractNote": "A regional atmosphere–ocean coupled model has been used to estimate sea level rise in the Mediterranean basin under present and future conditions. A present climate simulation has been forced by ERA40 reanalysis covering the period 1958–2001. Moreover a simulation has been forced by the global coupled model ECHAM5-MPIOM under present climate conditions for the period 1951–2000. Two other 50-year simulations have been performed under the SRESA1B scenario for the twenty-first century and differ only in temperature and salinity profiles used to relax the ocean model in the Atlantic buffer zone. The present climate simulation has been verified in terms of temperature, salinity and sea level against observed data, showing good performances both in mean values and variability over the whole Mediterranean Sea and over different sub-basins. The future scenario simulations show that the steric sea level averaged over the entire basin rises of about 2 or 7 cm in 50 years depending on the Atlantic boundary conditions. The difference of about 1 °C and 0.5 psu in the upper layers of the Atlantic sea reflects mainly on the halosteric component that contributes negatively to the sea level rise, when fresher and colder boundary conditions are used in the Atlantic buffer zone, and positively in the other case. The impact of the boundary conditions is not uniform in the basin and is particularly strong in some easternmost regions.",
        "publicationTitle": "Climate Dynamics",
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        "pages": "2167-2184",
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        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-012-1369-1",
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        "creatorSummary": "Artale et al.",
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        "title": "An atmosphere–ocean regional climate model for the Mediterranean area: assessment of a present climate simulation",
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            "name": "The PROTHEUS Group"
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        "abstractNote": "We present an atmosphere–ocean regional climate model for the Mediterranean basin, called the PROTHEUS system, composed by the regional climate model RegCM3 as the atmospheric component and by a regional configuration of the MITgcm model as the oceanic component. The model is applied to an area encompassing the Mediterranean Sea and compared to a stand-alone version of its atmospheric component. An assessment of the model performances is done by using available observational datasets. Despite a persistent bias, the PROTHEUS system is able to capture the inter-annual variability of seasonal sea surface temperature (SST) and also the fine scale spatio-temporal evolution of observed SST anomalies, with spatial correlation as high as 0.7 during summer. The close inspection of a 10-day strong wind event during the summer of 2000 proves the capability of the PROTHEUS system to correctly describe the daily evolution of SST under strong air–sea interaction conditions. As a consequence of the model’s skill in reproducing observed SST and wind fields, we expect a reliable estimation of air–sea fluxes. The model skill in reproducing climatological land surface fields is in line with that of state of the art regional climate models.",
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        "abstractNote": "The main objective of this study is to investigate the variability of the thermohaline characteristics of the deep-water masses in the Aegean Sea and the possible impact of the regional atmospheric forcing variability by analyzing the available oceanographic and atmospheric datasets for the period of 1960–2012. During this period the variability of the deep water characteristics of the Aegean sub-basins is found to be very large as well as the diversity of the deep water characteristics among the sub-basins. The Central Aegean seems to play the key role in the Aegean deep water formation processes. Due to its small size, the Aegean Sea surface responds rapidly to the meteorological changes and/or the variability of the lateral fluxes and this variability propagates in the thermohaline characteristics of the deep water masses of the basin through deep water formation processes. There are many episodes characterized by a tight coupling of the atmosphere and the ocean during the examined period, with the Eastern Mediterranean Transient (EMT) being the most prominent case. We suggest that deep water formation is triggered mostly by the combination of preconditioning during early winter and/or previous winters together with the number of subsequent extreme events during present winter and not only by the total amount of the extreme heat loss winter days.",
        "publicationTitle": "Atmospheric Research",
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        "date": "2015-01-15",
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        "pages": "146-158",
        "series": "Atmospheric Processes in the Mediterranean",
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        "journalAbbreviation": "Atmospheric Research",
        "DOI": "10.1016/j.atmosres.2014.07.023",
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        "title": "Future Scenarios of Surface Water Resources Availability in North African Dams",
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            "creatorType": "author",
            "firstName": "Yves",
            "lastName": "Tramblay"
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        ],
        "abstractNote": "Climate change may have strong impacts on water resources in developing countries. In North Africa, many dams and reservoirs have been built to secure water availability in the context of a strong inter-annual variability of precipitation. The goal of this study is to evaluate climate change impacts on surface water resources for the largest dams in Algeria, Morocco and Tunisia using high-resolution (12 km) regional climate models (RCM) simulations. To evaluate the atmospheric demand (evapotranspiration), two approaches are compared: The direct use of actual evaporation simulated by the RCMs, or estimation of reference evapotranspiration computed with the Hargreaves-Samani (HAR) equation, relying on air temperature only, and the FAO-Penman Monteith (PM) equation, computed with temperature, wind, radiation and relative humidity. Results showed a strong convergence of the RCM simulations towards increased temperature and a decrease in precipitation, in particular during spring and the western part of North Africa. A decrease in actual evapotranspiration, highly correlated to the decrease in precipitations, is observed throughout the study area. On the opposite, an increase in reference evapotranspiration is observed, with similar changes between HAR and PM equations, indicating that the main driver of change is the temperature increase. Since the catchments are rather water-limited than energy-limited, despite opposite projections for actual and reference evapotranspiration a decrease of water availability is projected for all basins under all scenarios, with a strong east-to-west gradient. The projected decrease is stronger when considering reference evapotranspiration rather than actual evaporation. These pessimistic future projections are an incentive to adapt the current management of surface water resources to future climatic conditions.",
        "publicationTitle": "Water Resources Management",
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        "place": "",
        "date": "2018-03-01",
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            "tag": "Maghreb",
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        "title": "The ENEA-REG system (v1.0), a multi-component regional Earth system model: sensitivity to different atmospheric components over the Med-CORDEX (Coordinated Regional Climate Downscaling Experiment) region",
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            "creatorType": "author",
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            "lastName": "Anav"
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            "creatorType": "author",
            "firstName": "Adriana",
            "lastName": "Carillo"
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            "creatorType": "author",
            "firstName": "Massimiliano",
            "lastName": "Palma"
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            "creatorType": "author",
            "firstName": "Maria Vittoria",
            "lastName": "Struglia"
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            "firstName": "Ufuk Utku",
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            "firstName": "Gianmaria",
            "lastName": "Sannino"
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        "abstractNote": "Abstract. In this study, a new regional Earth system model is developed and applied to\nthe Med-CORDEX (Coordinated Regional Climate Downscaling Experiment) region. The ENEA-REG system is made up of two interchangeable\nregional climate models as atmospheric components (RegCM, REGional Climate Model, and WRF, Weather Research and Forecasting), a river\nmodel (Hydrological Discharge, HD), and an ocean model (Massachusetts Institute of\nTechnology General Circulation Model, MITgcm); processes taking place at the land\nsurface are represented within the atmospheric models with the possibility\nto use several land surface schemes of different complexity. The coupling\nbetween these components is performed through the RegESM driver. Here, we present and describe our regional Earth system model and evaluate\nits components using a multidecadal hindcast simulation over the period\n1980–2013 driven by ERA-Interim reanalysis. We show that the atmospheric\ncomponents correctly reproduce both large-scale and local features of the\nEuro-Mediterranean climate, although we found some remarkable biases: in\nparticular, WRF has a significant cold bias during winter over the\nnortheastern bound of the domain and a warm bias in the whole continental\nEurope during summer, while RegCM overestimates the wind speed over the\nMediterranean Sea. Similarly, the ocean component correctly reproduces the analyzed ocean\nproperties with performances comparable to the state-of-art coupled regional\nmodels contributing to the Med-CORDEX initiative. Our regional Earth system model allows studying the Euro-Mediterranean\nclimate system and can be applied to both hindcast and scenario simulations.",
        "publicationTitle": "Geoscientific Model Development",
        "publisher": "",
        "place": "",
        "date": "2021-07-02",
        "volume": "14",
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        "pages": "4159-4185",
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        "journalAbbreviation": "Geosci. Model Dev.",
        "DOI": "10.5194/gmd-14-4159-2021",
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        "PMCID": "",
        "ISSN": "1991-9603",
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        "shortTitle": "The ENEA-REG system (v1.0), a multi-component regional Earth system model",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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        "rights": "https://creativecommons.org/licenses/by/4.0/",
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        "title": "Evaluation of RegCM simulation ensemble using different parameterization scheme combinations: a case study for an extremely wet year in the Carpathian region",
        "creators": [
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            "creatorType": "author",
            "firstName": "Tímea",
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            "creatorType": "author",
            "firstName": "Rita",
            "lastName": "Pongrácz"
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            "firstName": "Ildikó",
            "lastName": "Pieczka"
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            "creatorType": "author",
            "firstName": "Roland",
            "lastName": "Hollós"
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        "abstractNote": "Abstract \n            Due to its high influence on agriculture, infrastructure, water management, and other areas, precipitation is one of the most important climate factors. However, it is still challenging for climate models to realistically reproduce regional patterns, temporal variability, and precipitation intensity. This is especially true for extreme conditions and terrains with heterogeneous orography, like the Carpathian region. \n            For the sake of quantifying the uncertainty and improving the accuracy of the precipitation simulations of the RegCM4.7 regional climate model over the Carpathian region, we evaluate the performance of different options at 10 km horizontal resolution, using ERA-Interim reanalysis data as initial and boundary conditions. Altogether 24 simulations were carried out by using various combinations of the physical schemes (2 land surface, 2 microphysics, 3 cumulus convection and 2 planetary boundary layer (PBL) schemes) for the year 2010, which was the wettest year in the Carpathian region (especially in Hungary) since 1901. Different parameterization combinations lead to different simulated climates, so their variance can serve as an estimate of model uncertainty due to the representation of unresolved phenomena. \n            The results show that RegCM is sensitive to the choice of scheme combinations. The analysis of the RegCM4.7 ensemble indicates systematic precipitation biases, which are linked to different physical mechanisms in the summer and winter seasons. Based on the results, RegCM4.7 is the most sensitive to the applied convection scheme, but the interactions with the other schemes (e.g., land surface and microphysics) affect the convective and large-scale precipitation in addition to the total precipitation.",
        "publicationTitle": "Climate Dynamics",
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        "date": "08/2024",
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        "pages": "8201-8225",
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        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-024-07333-9",
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            "firstName": "Erika",
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            "firstName": "Amanda Imola",
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            "creatorType": "author",
            "firstName": "Tomáš",
            "lastName": "Halenka"
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        ],
        "abstractNote": "Abstract\n            Climate classifications represent a convenient tool for an integrated analysis of possible future climate changes. We employ the Köppen-Trewartha classification (KTC). While global climate models (GCMs) are the principal means of climate research on a planetary scale, regional climate models (RCMs) can provide information on finer scales. The hybrid method enables combining the advantages of both kinds of models while incorporating the whole ensemble of available GCMs, unlike RCM ensembles with limited number of driving GCMs. We assess projected changes in the distribution of KTC types over Europe based on three sets of projections: results of the hybrid method combining two sets of GCMs (CMIP6 and CMIP5) with the EURO-CORDEX RCMs, and the original EURO-CORDEX simulations driven by CMIP5. We look into changes in geographical distribution of KTC types throughout the 21st century under two socio-economic scenarios. We also investigate the boundary shifts between Europe’s most common types, D (temperate climate) and E (boreal climate). The continental Ec type and tundra type Ft are projected to shrink radically by the end of the 21st century. Oceanic Eo and continental Dc are also projected to decline, but not so dramatically. Oceanic temperate type Do, humid subtropical type Cf, and steppe climate BS are projected to expand. One of the most striking outcomes is the expansion of dry climate types BS and Cs in parts of southern and south-eastern Europe. The boundary between subtypes of D and E is expected to shift northward and eastward. The hybrid method provides an easy-to-apply approach to investigate uncertainties connected with the limited number of driving GCMs within the RCM ensembles. We provide an updated CMIP6-based projections of KTC climate types over Europe as the first assessment before the new EURO-CORDEX simulations dynamically downscaling CMIP6 will be available. The results can serve as a basis for adaptation strategies and planning.",
        "publicationTitle": "Theoretical and Applied Climatology",
        "publisher": "",
        "place": "",
        "date": "11/2025",
        "volume": "156",
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        "partNumber": "",
        "partTitle": "",
        "pages": "596",
        "series": "",
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        "journalAbbreviation": "Theor Appl Climatol",
        "DOI": "10.1007/s00704-025-05806-3",
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        "title": "Occurrence and intensity: the future of precipitation in Europe and the Mediterranean",
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            "firstName": "Julie",
            "lastName": "Andre"
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            "creatorType": "author",
            "firstName": "Fabio",
            "lastName": "D'andrea"
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        "abstractNote": "Abstract\n          Climate change is reshaping precipitation regimes across Europe and the Mediterranean, with distinct regional patterns and implications. Using a high-resolution 15-member Euro-CORDEX ensemble, changes in daily precipitation distributions are analyzed through a diagnostic framework that separates intensity shifts, shape distortions, and occurrence changes. Between the periods of 1950–2020 and +4°C global warming, Northern Europe shows a robust intensification of wet-days precipitation, driven by both stronger events and increased frequency. In contrast, the Mediterranean exhibits a dominant drying signal, primarily due to fewer rainy days—even for heavy precipitation. Transitional zones along the northern Mediterranean reveal “U-shape” regimes, where extremes increase while moderate rain declines. Comparisons with ERA5 confirm anthropogenic signals in the north but highlight uncertainty in the south due to internal variability and model disagreement. The timing of regime emergence varies: in terms of global warming levels (GWL) signals are robust at +1°C in Northern Europe, but delayed until +3–4°C in the Mediterranean. These findings inform risk-based adaptation strategies.",
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        "title": "Unexpected Covariant Behavior of the Aegean and Ionian Seas in the Period 1987–2008 by Means of a Nondimensional Sea Surface Height Index",
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            "firstName": "M.",
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            "firstName": "G.",
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        "abstractNote": "Abstract \n            In this work, we use a set of recent multiyear simulations to develop a simplified sea surface height index (SSH). The index characterizes the dynamics of Ionian upper layer circulation and its links with sea surface height and salinity in the Southern Adriatic and Aegean Seas during the period 1987–2008. The analysis highlights a covariant behavior between Ionian Sea and Aegean Sea associated with a mutual zonal exchange of water masses with different salinity characteristics. Our analysis confirms that the variability observed in the period 1987–2008 in the upper layer circulation of the Ionian was driven by the salinity variability in the Southern Adriatic and Aegean Sea. This study supports and reinforces the hypothesis that two observed BiOS‐like reversals reflect the existence of multiple equilibrium states in the Mediterranean Thermohaline circulation in the Eastern Mediterranean and that a complete characterization of observed variability needs to take into account a fully coupled Adriatic‐Ionian‐Aegean System. \n          ,  \n            Key Points \n             \n               \n                 \n                  The reversals in the Ionian Sea reflect the existence of multiple states in the Thermohaline circulation in the Eastern Mediterranean \n                 \n                 \n                  Aegean and Ionian Seas explicitly show a covariant behavior in the period 1987–2008 \n                 \n                 \n                  The source of this covariant behavior relies on substantial zonal exchanges of salinity between the two basins",
        "publicationTitle": "Journal of Geophysical Research: Oceans",
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        "place": "",
        "date": "10/2017",
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        "title": "Climate model downscaling in central Asia: a dynamical and a neural network approach",
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            "firstName": "Bijan",
            "lastName": "Fallah"
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            "firstName": "Fred F.",
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        "abstractNote": "Abstract. High-resolution climate projections are essential for estimating future climate change impacts. Statistical and dynamical downscaling methods, or a hybrid of both, are commonly employed to generate input datasets for impact modelling. In this study, we employ COSMO-CLM (CCLM) version 6.0, a regional climate model, to explore the benefits of dynamically downscaling a general circulation model (GCM) from the Coupled Model Intercomparison Project Phase 6 (CMIP6), focusing on climate change projections for central Asia (CA). The CCLM, at 0.22° horizontal resolution, is driven by the MPI-ESM1-2-HR GCM (at 1° spatial resolution) for the historical period of 1985–2014 and the projection period of 2019–2100 under three Shared Socioeconomic Pathways (SSPs), namely the SSP1-2.6, SSP3-7.0, and SSP5-8.5 scenarios. Using the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) gridded observation dataset as a reference, we evaluate the performance of CCLM driven by ERA-Interim reanalysis over the historical period. The added value of CCLM, compared to its driving GCM, is evident over mountainous areas in CA, which are at a higher risk of extreme precipitation events. The mean absolute error and bias of climatological precipitation (mm d−1) are reduced by 5 mm d−1 for summer and 3 mm d−1 for annual values. For winter, there was no error reduction achieved. However, the frequency of extreme precipitation values improved in the CCLM simulations. Additionally, we employ CCLM to refine future climate projections. We present high-resolution maps of heavy precipitation changes based on CCLM and compare them with the CMIP6 GCM ensemble. Our analysis indicates an increase in the intensity and frequency of heavy precipitation events over CA areas already at risk of extreme climatic events by the end of the century. The number of days with precipitation exceeding 20 mm increases by more than 90 by the end of the century, compared to the historical reference period, under the SSP3-7.0 and SSP5-8.5 scenarios. The annual 99th percentile of total precipitation increases by more than 9 mm d−1 over mountainous areas of central Asia by the end of the century, relative to the 1985–2014 reference period, under the SSP3-7.0 and SSP5-8.5 scenarios. Finally, we train a convolutional neural network (CNN) to map a GCM simulation to its dynamically downscaled CCLM counterpart. The CNN successfully emulates the GCM–CCLM model chain over large areas of CA but shows reduced skill when applied to a different GCM–CCLM model chain. The scientific community interested in downscaling CMIP6 models could use our downscaling data, and the CNN architecture offers an alternative to traditional dynamical and statistical methods.",
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        "title": "Co-creation of a scalable, climate service tool for the sustainable management of key blue economy sectors in the Spanish Mediterranean coast",
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            "firstName": "Alba",
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        "abstractNote": "The Mediterranean region is experiencing rapid warming, outpacing the global average, and is frequently impacted by extreme weather events like heatwaves and heavy precipitation. Climate models project an increase in the frequency and/or intensity of these events, which pose a significant risk of negative socio-economic impacts—particularly in the Western Mediterranean regions, such as the Spanish Mediterranean coast. Negative socio-economic impacts affect to a greater extent climate-exposed sectors such as the blue economy, which is defined as the economic activities associated with seas and oceans. Therefore, the development of climate service tools tailored to the needs and expectations of potential end-users from these sectors is crucial. This manuscript details the hybrid methodology adopted for the creation of the \n              ECOAZUL-MED \n              climate service tool, as well as its interface and main functionalities. The tool offers stakeholders from aquaculture, fisheries and coastal tourism along the Spanish Mediterranean coasts, for the first time, climate information from air-sea coupled simulations from the Med-CORDEX initiative to promote evidence-based decision-making regarding adaptation. Our work highlights the relevance of using bottom-up and participatory approaches combining quantitative and qualitative methodologies to generate tailored climate service tools adapted to the local context. Stakeholders’ feedback, compiled through focus groups, workshops and questionnaires presented in this manuscript, was key to setting the contents of the tool and its final interface. Insights that emerge from this work allow us to highlight the importance of using participatory approaches to reinforce the long-lasting use of climate tools as they are designed based on stakeholders’ inputs, and to propose this methodology to be applied in other contexts to build sustainable climate tools.",
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            "lastName": "Canadell"
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        "title": "The PolarRES dataset: a state-of-the-art regional climate model ensemble for understanding Antarctic climate",
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            "firstName": "Ella",
            "lastName": "Gilbert"
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            "firstName": "José Abraham",
            "lastName": "Torres-Alavez"
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            "firstName": "Marte G.",
            "lastName": "Hofsteenge"
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            "firstName": "Willem Jan",
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            "firstName": "Fredrik",
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            "firstName": "Ole Bøssing",
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            "firstName": "Christiaan Timo",
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            "firstName": "Damien",
            "lastName": "Maure"
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            "firstName": "Ruth",
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            "creatorType": "author",
            "firstName": "Martin",
            "lastName": "Olesen"
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            "creatorType": "author",
            "firstName": "Andrew",
            "lastName": "Orr"
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            "creatorType": "author",
            "firstName": "Tony",
            "lastName": "Phillips"
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            "creatorType": "author",
            "firstName": "Maurice",
            "lastName": "Van Tiggelen"
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            "creatorType": "author",
            "firstName": "Kristiina",
            "lastName": "Verro"
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          {
            "creatorType": "author",
            "firstName": "Priscilla A.",
            "lastName": "Mooney"
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        ],
        "abstractNote": "Abstract. Antarctica's weather and climate have global impacts, influencing weather patterns, ocean currents and sea levels worldwide. However, Antarctica is vast and complex, and the atmospheric processes that govern its climate are strongly influenced by its steep terrain, particularly around the coastal periphery. Our scientific understanding of this complex environment is hampered by the lack of reliable observations and gridded datasets at sufficiently high spatial and temporal resolution. High-resolution regional climate models, RCMs, can provide a solution to the sparsity of observational data and low resolution of reanalyses, facilitating more in-depth assessments of crucial climate variables like precipitation, winds and temperatures that are strongly influenced by topography. Here we present and evaluate a comprehensive, high-quality, ~ 11 km resolution RCM dataset: the PolarRES ensemble. We show that the ensemble largely out-performs ERA5, particularly for variables such as coastal winds and in characterising high-resolution regional precipitation patterns. There are no consistent seasonal differences in biases, but there are persistent regional biases. The Victoria Land region is the region the RCMs and ERA5 struggle the most with, which suggests that further investigation and model development is needed in this area. Each RCM has strengths and limitations, but overall the ensemble captures the observed weather and climate of Antarctica well. The PolarRES ensemble offers a novel and exciting way of evaluating climate processes and features, and we encourage researchers to use the data, which are freely available, to explore pertinent climate questions of local, regional and global significance.",
        "genre": "",
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        "abstractNote": "The present and future evolution of the Mediterranean Sea hydrographical conditions are investigated using a Mediterranean Sea circulation model forced by a set of atmospheric fields at the sea surface and ocean fields at the neighbouring Atlantic Ocean west of the Strait of Gibraltar. The forcing fields originate from the Med-CORDEX, CMIP5 and CMPI6 data bases and the ORAS4 reanalyses. The simulations cover the period 1950–2100. The results confirm the Mediterranean Sea future warming and saltening but with a large spread among the simulations for this variable. The different contributions to the sea level change are estimated from the simulations. The total sea level is projected to increase by around 500–800 mm in 2100. The contribution of the dynamic part does not exceed 100 mm while that equilibrating the steric part in the Atlantic area is around 250–400 mm; the remaining part due to other contributions being of the order of 250–300 mm. The component which does not equilibrate the steric sea level in the Atlantic area is evaluated between −200 and + 200 mm. At the sea surface the simulations reproduce the northward extension of the Atlantic waters to the north of the Balearic Islands. The thermohaline circulation examined through an east–west vertical section is characterized by enhanced penetration of Atlantic waters at the upper layers and by a tongue of increased salinity in the Levantine Intermediate water deepening from east to west. While the overall density of the Mediterranean Sea is projected to decrease, the density difference between the inflowing and outflowing waters is projected to increase, mainly due to an increase in the temperature and a decrease in the salinity of the Atlantic waters, hence explaining the mass and heat enhanced exchange. It also gives an explanation to the projected increase of the basin sea level drop relative to that in the Atlantic Ocean reproduced in some of the results of the present work.",
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        "title": "Regional-scale Hydrologic Model Comparison Including Calibration for Improved River Discharge Simulations into the Mediterranean Sea",
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            "firstName": "Mohamed",
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        "abstractNote": "<p><strong class=\"journal-contentHeaderColor\">Abstract.</strong> River discharge into the Mediterranean Sea is a vital component of the regional water cycle, influencing ecological and climatic dynamics. Although some regional coupled models that include a river routing component exist for the Mediterranean region, their performance in reproducing river discharge is poor. This study compares the hydrological routing models CaMa-Flood and WRF-Hydro for discharge simulations into the Mediterranean Sea. Evaluating their performance across key basins, this study highlights CaMa-Flood's computational efficiency but underperformance in flow variability and high-flow extremes, contrasted by WRF-Hydro's superior timing and bias reduction, especially after calibration. In fact, results indicate that the calibration improved WRF-Hydro&rsquo;s metrics, including Kling-Gupta Efficiency (KGE) and lag times, underscoring its potential for precise discharge predictions at higher computational costs. These findings offer critical insights for advancing regional coupled Earth system models, enhancing hydrological forecasting, and addressing basin-specific hydrological challenges.</p>",
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        "creatorSummary": "Karagiorgos et al.",
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        "version": 378,
        "itemType": "journalArticle",
        "title": "Ocean Chlorophyll Feedback in a Coupled Ocean‐Atmosphere Model for the Mediterranean and Black Seas",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "John",
            "lastName": "Karagiorgos"
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          {
            "creatorType": "author",
            "firstName": "Vassilios",
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            "firstName": "Sarantis",
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        ],
        "abstractNote": "Abstract \n            Ocean water clarity, influenced by marine chlorophyll concentration, significantly alters the distribution of shortwave radiation in the water column. This work aims to assess the effects of varying chlorophyll on the upper‐ocean physical properties and their subsequent impact on the atmosphere, using a coupled ocean‐atmosphere regional model for the Mediterranean and Black Seas. We performed 11‐year (2011–2021) twin‐simulation experiments based on different chlorophyll concentrations to estimate the penetration of solar radiation in the ocean. The first simulation used a monthly climatology field of chlorophyll concentrations derived from satellite observations, while in the second experiment, the chlorophyll concentration was kept constant at 0.05 , representing clear water conditions. Results show that radiative heating driven by chlorophyll amplifies the seasonal cycle of temperature in the upper layers, leading to increased surface warming in summer and surface cooling in winter. Also, higher surface chlorophyll contributes to cooling in subsurface layers throughout the year due to its shading effect. The temperature response to chlorophyll variations is controlled by the mixed layer depth and a balance between (a) direct near‐surface radiative heating due to the chlorophyll absorption and (b) indirect cooling resulting from vertical turbulent mixing processes with subsurface waters. The atmosphere moderates the seasonal sea surface temperature (SST) response caused by chlorophyll differential heating primarily through changes in latent heat flux. Ultimately, our simulations suggest that increased surface chlorophyll concentrations enhance the Mediterranean overturning circulation, highlighting the necessity of incorporating realistic optical forcing into regional climate modeling studies. \n          ,  \n            Plain Language Summary \n            This study investigates how ocean water color, determined by chlorophyll pigments of phytoplankton, affects the penetrating solar energy and temperatures in the upper ocean. We focused on the Mediterranean and Black Seas, where chlorophyll levels fluctuate significantly, performing coupled ocean‐atmosphere model experiments differing in water clarity assumptions. The results show that higher surface chlorophyll concentrations intensify ocean surface warming in summer and surface cooling in winter. At the same time, its shading effect cools the deeper layers year‐round. Ocean temperature changes due to varying chlorophyll also affect atmospheric properties primarily through heat exchange processes at the sea surface. Overall, these effects have implications for the Mediterranean thermohaline circulation, stressing the importance of including realistic optical forcing in climate models. \n          ,  \n            Key Points \n             \n               \n                 \n                  Coupled ocean‐atmosphere model experiments were conducted to investigate how chlorophyll affects ocean dynamics and air‐sea interactions \n                 \n                 \n                  Increased chlorophyll amplifies the seasonal cycle of sea surface temperature while cooling the deeper layers of the ocean year‐round \n                 \n                 \n                  Chlorophyll‐dependent optical forcing has an impact on the simulated Mediterranean thermohaline circulation",
        "publicationTitle": "Journal of Geophysical Research: Oceans",
        "publisher": "",
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        "date": "02/2025",
        "volume": "130",
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        "pages": "e2024JC021985",
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        "journalAbbreviation": "JGR Oceans",
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        "version": 377,
        "itemType": "journalArticle",
        "title": "The Role of Ocean Penetrative Solar Radiation in the Evolution of Mediterranean Storm Daniel",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "John",
            "lastName": "Karagiorgos"
          },
          {
            "creatorType": "author",
            "firstName": "Platon",
            "lastName": "Patlakas"
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            "firstName": "Vassilios",
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            "lastName": "Sofianos"
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        ],
        "abstractNote": "Air–sea interactions play a pivotal role in shaping cyclone development and evolution. In this context, this study investigates the role of ocean optical properties and solar radiation penetration in modulating subsurface heat content and their subsequent influence on the intensity of Mediterranean cyclones. Using a regional coupled ocean–wave–atmosphere model, we conducted sensitivity experiments for Storm Daniel (2023) comparing two solar radiation penetration schemes in the ocean model component: one with a constant light attenuation depth and another with chlorophyll-dependent attenuation based on satellite estimates. Results show that the chlorophyll-driven radiative heating scheme consistently produces warmer sea surface temperatures (SSTs) prior to cyclone onset, leading to stronger cyclones characterized by deeper minimum mean sea-level pressure, intensified convective activity, and increased rainfall. However, post-storm SST cooling is also amplified due to stronger wind stress and vertical mixing, potentially influencing subsequent local atmospheric conditions. Overall, this work demonstrates that ocean bio-optical processes can meaningfully impact Mediterranean cyclone behavior, highlighting the importance of using appropriate underwater light attenuation schemes and ocean color remote sensing data in coupled models.",
        "publicationTitle": "Remote Sensing",
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        "pages": "2684",
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        "publicationTitle": "International Journal of Environment and Pollution",
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        "title": "Quantifying uncertainties related to observational datasets used as reference for regional climate model evaluation over complex topography — a case study for the wettest year 2010 in the Carpathian region",
        "creators": [
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            "creatorType": "author",
            "firstName": "Tímea",
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            "creatorType": "author",
            "firstName": "Erzsébet",
            "lastName": "Kristóf"
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            "firstName": "Ildikó",
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            "firstName": "Rita",
            "lastName": "Pongrácz"
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        "abstractNote": "Abstract Gridded observational datasets are often used for the evaluation of regional climate model (RCM) simulations. However, the uncertainty of observations affects the evaluation. This work introduces a novel method to quantify the uncertainties in the observational datasets and how these uncertainties affect the evaluation of RCM simulations. Besides precipitation and temperature, our method uses geographic variables (e.g. elevation, variability of elevation, effect of station), which are considered as uncertainty sources. To assess these uncertainties, a complex analysis based on various statistical tools, e.g. correlation analysis and permutation test, was carried out. Furthermore, we used a special metric, the reduction of error ( RE ) to identify where the RCM shows improvement compared to the lateral boundary conditions (LBCs). We focused on the Carpathian region, because of its unique orographic and climatic conditions. The method is applied to two observational datasets (CarpatClim and E-OBS) and to RegCM simulations for 2010, the wettest year in this region since 1901. The results show that CarpatClim is wetter than E-OBS, while temperature is similar over the lowland; however, E-OBS is significantly warmer than CarpatClim over the mountains. By the RE metric, RegCM has improvement against the LBCs over mountains for temperature and areas with dense station network for precipitation. Nevertheless, there are significant differences in the results depending on which observational dataset was used concerning precipitation. The evaluation method can be applied to other datasets, different time periods and areas. It is also suitable to find dataset errors, which is also exemplified in this paper.",
        "publicationTitle": "Theoretical and Applied Climatology",
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        "pages": "807–828",
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        "title": "A sensitivity analysis of the different setups of the RegCM4.5 model for the Carpathian region",
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            "firstName": "Tímea",
            "lastName": "Kalmár"
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            "firstName": "Ildikó",
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        "abstractNote": "The current study focuses on the RegCM4.5 model and specifically on a comparison of hydrostatic and non-hydrostatic approaches as well as on different microphysical parameterisations and planetary boundary layer (PBL) schemes. The main goal of the paper is to simulate the historical regional precipitation characteristics of the Carpathian region as reliably as possible. For this purpose, seven different model experiments at a 10 km horizontal resolution were completed for a 10-year period (1981–1990) using ERA-Interim reanalysis data (with 0.75° resolution) as initial and boundary conditions. Our simulation matrix consists of hydrostatic and non-hydrostatic runs together with different treatments of moisture, namely, the SUBEX and the NogTom schemes. In addition, two PBL schemes are tested, the Holtslag and the UW-PBL scheme. In this detailed validation study, RegCM outputs (e.g., temperature, global radiation, cloud cover, precipitation) are compared to the homogenized, gridded CarpatClim data (available with 0.1° resolution) that are based on measurements at regular meteorological station sites. The validation considers seasonal and monthly means, as well as extreme climatic events. On the basis of the results we can conclude that the role of the non-hydrostatic core can be clearly recognized for precipitation, particularly over mountains. Moreover, it was also found that the UW-PBL scheme performs with a negative bias regarding atmospheric boundary layer thickness and temperature and it reduces the wet/dry biases of the Holtslag PBL scheme. Regarding microphysical schemes, the NogTom scheme performs better than the SUBEX scheme, but the modified SUBEX (SUB4.3) can also reduce the precipitation over mountainous areas.",
        "publicationTitle": "International Journal of Climatology",
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        "date": "2021",
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        "abstractNote": "ERA-40 reanalyses, and simulations from three regional climate models (RCMs) (ALADIN, LMDZ, and WRF) and from one statistical downscaling model (CDF-t) are used to evaluate the uncertainty in downscaling of wind, temperature, and rainfall cumulative distribution functions (CDFs) for eight stations in the French Mediterranean basin over 1991–2000. The uncertainty is quantified using the Cramer-von Mises score (CvM) to measure the \"distance\" between the simulated and observed CDFs. The ability of the three RCMs and CDF-t to simulate the \"climate\" variability is quantified with the explained variance, variance ratio and extreme occurrence. The study shows that despite their differences, the three RCMs display very similar performance. In terms of global distributions (i.e. CvM), all models perform better than ERA-40 for both seasons and variables. However, looking at variance criteria, RCMs are not always much better than ERA-40 reanalyses, whereas CDF-t produces accurate results when applied to ERA-40. In a second step, a combined statistical/dynamical downscaling approach has been used, consisting in applying CDF-t to the RCM outputs. It shows that CDF-t applied to the RCM outputs does not necessarily produce better results than those from CDF-t directly applied to ERA-40. It also shows that CDF-t applied to RCMs generally improves the downscaled CDFs and that the \"additional\" added value of CDF-t applied to the RCMs is independent of the performance of the RCMs in terms of CvM, explained variance, variance ratio and extreme occurrence.",
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          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          }
        ],
        "abstractNote": "The contribution of atmospheric pressure and wind to the XXI century sea level variability in Southern Europe is explored under different climate change scenarios. The barotropic version of the HAMSOM model is forced with the output of the atmospheric ARPEGE model run under scenarios B1, A1B and A2. Additionally, a control simulation forced by observed SST, GHGs and aerosols concentrations for the period 1950–2000 and a hindcast forced by a dynamical downscalling of ERA40 for the period 1958–2001 are also run using the same models. The hindcast results have been validated against tide gauge observations showing good agreement with correlations around 0.8 and root mean square error of 3.2cm. A careful comparison between the control simulation and the hindcast shows a reasonably good agreement between both runs in statistical terms, which points towards the reliability of the modelling system when it is forced only by GHG and aerosols concentrations. The results for the XXI century indicate a sea level decrease that would be especially strong in winter, with trends of up to −0.8±0.1mm/year in the central Mediterranean under the A2 scenario. Trends in summer are small but positive (~0.05±0.04mm/yr), then leading to an increase in the amplitude of the seasonal cycle. The interannual variability also shows some changes, the most important being a widespread standard deviation increase of up to 40%. An increase in the frequency of positive phases of the NAO explains part of the winter negative trends. Also, an increase in the NAO variability would be responsible for the projected increase of the interannual variability of the atmospheric component of sea level. Conversely, the intra-annual variability (1–12months excluding the seasonal cycle) does not show significant changes.",
        "publicationTitle": "Global and Planetary Change",
        "publisher": "",
        "place": "",
        "date": "2012-01-01",
        "volume": "80-81",
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        "section": "",
        "partNumber": "",
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        "pages": "198-214",
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        "DOI": "10.1016/j.gloplacha.2011.10.013",
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        "tags": [
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            "tag": "Mediterranean Sea",
            "type": 1
          },
          {
            "tag": "climate change",
            "type": 1
          },
          {
            "tag": "sea level",
            "type": 1
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        "title": "A high resolution climatology of precipitation and deep convection over the Mediterranean region from operational satellite microwave data: development and application to the evaluation of model uncertainties",
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            "creatorType": "author",
            "firstName": "C.",
            "lastName": "Claud"
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            "firstName": "B.",
            "lastName": "Alhammoud"
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            "firstName": "B. M.",
            "lastName": "Funatsu"
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            "lastName": "Lebeaupin Brossier"
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            "lastName": "Chaboureau"
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            "firstName": "K.",
            "lastName": "Béranger"
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            "firstName": "P.",
            "lastName": "Drobinski"
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        "abstractNote": "A new precipitation and convection dataset for the Mediterranean Basin, derived from operational satellite microwave data is documented. The dataset is derived from diagnostics that rely on brightness temperatures measured since 1999 in the water vapour absorption line (183–191 GHz). The dataset consists of twice-daily (a.m. and p.m.) and monthly maps of precipitation and convection occurrences on a 0.2° lat × 0.2° long grid for the area 25°–60° N, 10° W–50° E. The instruments used so far are the AMSU-B sensor on the NOAA-15 to -17 satellites, and the MHS sensor on the NOAA-18 and -19 and METOP-2 satellites, with precipitation and convection available separately for the different sensors. The slightly different radiometric characteristics of MHS compared to AMSU-B do not affect significantly the continuity of the dataset. Precipitation and convection data from different sensors on different satellites are remarkably consistent, with generally small biases between the instruments. When larger biases appear, they can be explained either by the drifts in the satellite orbit, scan asymmetry, or temporal aliasing from insufficiently resolving the diurnal cycle of precipitation and convection. After a description of climatological aspects of rain and deep convection occurrence, the interest of this dataset to evaluate model uncertainties for simulating a high-impact weather event and for climatic regional runs over this area is illustrated.",
        "publicationTitle": "Natural Hazards and Earth System Sciences",
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        "date": "2012-03-23",
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        "title": "Coupled atmosphere ocean climate model simulations in the Mediterranean region: effect of a high-resolution marine model on cyclones and precipitation",
        "creators": [
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            "firstName": "A.",
            "lastName": "Sanna"
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        "abstractNote": "In this study we investigate the importance of an eddy-permitting Mediterranean Sea circulation model on the simulation of atmospheric cyclones and precipitation in a climate model. This is done by analyzing results of two fully coupled GCM (general circulation models) simulations, differing only for the presence/absence of an interactive marine module, at very high-resolution (~ 1/16°), for the simulation of the 3-D circulation of the Mediterranean Sea. Cyclones are tracked by applying an objective Lagrangian algorithm to the MSLP (mean sea level pressure) field. On annual basis, we find a statistically significant difference in vast cyclogenesis regions (northern Adriatic, Sirte Gulf, Aegean Sea and southern Turkey) and in lifetime, giving evidence of the effect of both land–sea contrast and surface heat flux intensity and spatial distribution on cyclone characteristics. Moreover, annual mean convective precipitation changes significantly in the two model climatologies as a consequence of differences in both air–sea interaction strength and frequency of cyclogenesis in the two analyzed simulations.",
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        "version": 354,
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        "title": "Climate Variability and Water Mass Formation in the Eastern Mediterranean Sea",
        "creators": [
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            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Sofianos"
          },
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            "creatorType": "author",
            "firstName": "V.",
            "lastName": "Vervatis"
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            "lastName": "Skliris"
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            "lastName": "Somot"
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            "lastName": "Lascaratos"
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            "firstName": "Costas G.",
            "lastName": "Helmis"
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            "firstName": "Panagiotis T.",
            "lastName": "Nastos"
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        "abstractNote": "Recent changes of the thermohaline circulation in the Eastern Mediterranean (i.e. the Eastern Mediterranean Transient) and older observations of the thermohaline structure of the Aegean-Levantine region (with events of dramatic changes of deep water characteristics) reveal the very sensitive character of the regional thermohaline circulation pattern. This and the long term variability of seawater characteristics in various Mediterranean basins show that the deep water mass formation processes in the region can be greatly affected by climate variability and the characteristics of the extreme atmospheric forcing events. Theoretical work and modeling experiments point out the effectiveness of extreme events and periods of abnormal atmospheric conditions to produce deep waters of different characteristics and different equilibrium depth. Studying the mechanisms involved in the air-sea interaction under extreme event conditions, with available observations and modeling techniques, and monitoring important sites of water mass formation becomes very important for understanding the regional dynamics of the water cycle and their effect on the climate of the whole Mediterranean Sea region.",
        "proceedingsTitle": "Advances in Meteorology, Climatology and Atmospheric Physics",
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        "date": "2013",
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        "version": 353,
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        "title": "Ocean memory effect on the dynamics of coastal heavy precipitation preceded by a mistral event in the northwestern Mediterranean",
        "creators": [
          {
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            "firstName": "Cindy",
            "lastName": "Lebeaupin Brossier"
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            "lastName": "Drobinski"
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            "firstName": "Sophie",
            "lastName": "Bastin"
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            "firstName": "Francoise",
            "lastName": "Orain"
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        "abstractNote": "Abstract \n            In this study, we examine the possible role of 3D oceanic circulation in ‘connecting’ a strong mistral windstorm in the northwestern Mediterranean with a heavy precipitating event in southern France in November 1999. These two events are both governed by intense air–sea exchanges and are only separated by a week. From an atmospheric point of view, these two events may be considered as fully uncorrelated and independent. \n            However, using the MORCE regional coupled system with WRF atmospheric model and NEMO‐MED12 ocean model, we show that the oceanic cyclonic circulation is a key feature, which can trap strong modifications of the ocean mixed layer over few days. In our specific situation, the mistral (5–9 November 1999) induces a rapid mixed‐layer cooling. This cold anomaly is trapped in the cyclonic gyre in the Gulf of Lions and maintained over a week. This directly affects the following heavy precipitating event (12–13 November 1999) with less energy supplied where the cold anomaly is maintained and larger evaporation near the coast. This modulates the rainfall amounts over land, with an increase in the eastern part and a decrease in the western part compared to an uncoupled simulation. These simulations highlight the key role of the general ocean circulation, and especially of the dynamic of the cyclonic gyre in the Gulf of Lions on the ocean memory in the area. The ocean maintains the temperature anomaly over typical periods of a few days, which thus enables some indirect links between two weather systems in which air–sea interactions are significant.",
        "publicationTitle": "Quarterly Journal of the Royal Meteorological Society",
        "publisher": "",
        "place": "",
        "date": "07/2013",
        "volume": "139",
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        "pages": "1583-1597",
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        "journalAbbreviation": "Quart J Royal Meteoro Soc",
        "DOI": "10.1002/qj.2049",
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        "title": "Precipitation and temperature space–time variability and extremes in the Mediterranean region: evaluation of dynamical and statistical downscaling methods",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Emmanouil",
            "lastName": "Flaounas"
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          {
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            "lastName": "Drobinski"
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            "firstName": "Mathieu",
            "lastName": "Vrac"
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            "firstName": "Sophie",
            "lastName": "Bastin"
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            "lastName": "Lebeaupin-Brossier"
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            "creatorType": "author",
            "firstName": "Marc",
            "lastName": "Stéfanon"
          },
          {
            "creatorType": "author",
            "firstName": "Marco",
            "lastName": "Borga"
          },
          {
            "creatorType": "author",
            "firstName": "Jean-Christophe",
            "lastName": "Calvet"
          }
        ],
        "abstractNote": "This study evaluates how statistical and dynamical downscaling models as well as combined approach perform in retrieving the space–time variability of near-surface temperature and rainfall, as well as their extremes, over the whole Mediterranean region. The dynamical downscaling model used in this study is the Weather Research and Forecasting (WRF) model with varying land-surface models and resolutions (20 and 50 km) and the statistical tool is the Cumulative Distribution Function-transform (CDF-t). To achieve a spatially resolved downscaling over the Mediterranean basin, the European Climate Assessment and Dataset (ECA&D) gridded dataset is used for calibration and evaluation of the downscaling models. In the frame of HyMeX and MED-CORDEX international programs, the downscaling is performed on ERA-I reanalysis over the 1989–2008 period. The results show that despite local calibration, CDF-t produces more accurate spatial variability of near-surface temperature and rainfall with respect to ECA&D than WRF which solves the three-dimensional equation of conservation. This first suggests that at 20–50 km resolutions, these three-dimensional processes only weakly contribute to the local value of temperature and precipitation with respect to local one-dimensional processes. Calibration of CDF-t at each individual grid point is thus sufficient to reproduce accurately the spatial pattern. A second explanation is the use of gridded data such as ECA&D which smoothes in part the horizontal variability after data interpolation and damps the added value of dynamical downscaling. This explains partly the absence of added-value of the 2-stage downscaling approach which combines statistical and dynamical downscaling models. The temporal variability of statistically downscaled temperature and rainfall is finally strongly driven by the temporal variability of its forcing (here ERA-Interim or WRF simulations). CDF-t is thus efficient as a bias correction tool but does not show any added-value regarding the time variability of the downscaled field. Finally, the quality of the reference observation dataset is a key issue. Comparison of CDF-t calibrated with ECA&D dataset and WRF simulations to local measurements from weather stations not assimilated in ECA&D, shows that the temporal variability of the downscaled data with respect to the local observations is closer to the local measurements than to ECA&D data. This highlights the strong added-value of dynamical downscaling which improves the temporal variability of the atmospheric dynamics with regard to the driving model. This article highlights the benefits and inconveniences emerging from the use of both downscaling techniques for climate research. Our goal is to contribute to the discussion on the use of downscaling tools to assess the impact of climate change on regional scales.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2013-06-01",
        "volume": "40",
        "issue": "11",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "2687-2705",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-012-1558-y",
        "citationKey": "",
        "url": "https://doi.org/10.1007/s00382-012-1558-y",
        "accessDate": "2025-08-13T16:46:30Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "1432-0894",
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        "abstractNote": "This paper investigates the impact of soil moisture-temperature feedback during heatwaves occurring over France between 1989 and 2008. Two simulations of the weather research and forecasting regional model have been analysed, with two different land-surface models. One resolves the hydrology and is able to simulate summer dryness, while the other prescribes constant and high soil moisture and hence no soil moisture deficit. The sensitivity analysis conducted for all heatwave episodes highlights different soil moisture-temperature responses (1) over low-elevation plains, (2) over mountains and (3) over coastal regions. In the plains, soil moisture deficit induces less evapotranspiration and higher sensible heat flux. This has the effect of heating the planetary boundary layer and at the same time of creating a general condition of higher convective instability and a slight increase of shallow cloud cover. A positive feedback is created which increases the temperature anomaly during the heatwaves. In mountainous regions, enhanced heat fluxes over dry soil reinforce upslope winds producing strong vertical motion over the mountain slope, first triggered by thermal convection. This, jointly to the instability conditions, favors convection triggering and produces clouds and precipitation over the mountains, reducing the temperature anomaly. In coastal regions, dry soil enhances land/sea thermal contrast, strengthening sea-breeze circulation and moist cold marine air advection. This damps the magnitude of the heatwave temperature anomaly in coastal areas, expecially near the Mediterranean coast. Hence, along with heating in the plains, soil dryness can also have a significant cooling effect over mountains and coastal regions due to meso-scale circulations.",
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        "abstractNote": "This paper presents and analyzes the three-dimensional dynamical structure of intense Mediterranean cyclones. The analysis is based on a composite approach of the 200 most intense cyclones during the period 1989–2008 that have been identified and tracked using the output of a coupled ocean–atmosphere regional simulation with 20 km horizontal grid spacing and 3-hourly output. It is shown that the most intense Mediterranean cyclones have a common baroclinic life cycle with a potential vorticity (PV) streamer associated with an upper-level cyclonic Rossby wave breaking, which precedes cyclogenesis in the region and triggers baroclinic instability. It is argued that this common baroclinic life cycle is due to the strongly horizontally sheared environment in the Mediterranean basin, on the poleward flank of the quasi-persistent subtropical jet. The composite life cycle of the cyclones is further analyzed considering the evolution of key atmospheric elements as potential temperature and PV, as well as the cyclones’ thermodynamic profiles and rainfall. It is shown that most intense Mediterranean cyclones are associated with warm conveyor belts and dry air intrusions, similar to those of other strong extratropical cyclones, but of rather small scale. Before cyclones reach their mature stage, the streamer’s role is crucial to advect moist and warm air towards the cyclones center. These dynamical characteristics, typical for very intense extratropical cyclones in the main storm track regions, are also valid for these Mediterranean cases that have features that are visually similar to tropical cyclones.",
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        "title": "European heatwave in July 2006: Observations and modeling showing how local processes amplify conducive large‐scale conditions",
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            "firstName": "Marjolaine",
            "lastName": "Chiriaco"
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            "firstName": "Martial",
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            "creatorType": "author",
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        "abstractNote": "Abstract \n            July 2006 was particularly warm in Europe. The consistency of this kind of anomaly with large‐scale circulation conditions or local processes is a key issue for regional climate evolution. Using observations from space and ground‐based observatory, together with simulations from regional model, shows that two concomitant but disconnected drivers explain this heatwave. The first driver corresponds to large‐scale conditions (specific atmospheric condition with advection of continental air favoring clear sky). The second condition relates to local processes (dry soil, amplifying surface temperature in heatwave for first 5 days, and making this event warm enough to induce a monthly mean anomaly). This large‐scale event is studied at a site in northern France, where comprehensive observation data carefully reanalyzed are available. A regional model is able to produce the amplitude of the event, for both temperature and cloud large‐scale anomalies. Coupling model and observations allow discriminating the surface contribution to the temperature anomaly. \n          ,  \n            Key Point \n             \n               \n                 \n                  Heatwave can be studied in a precise location",
        "publicationTitle": "Geophysical Research Letters",
        "publisher": "",
        "place": "",
        "date": "2014-08-16",
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        "pages": "5644-5652",
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        "journalAbbreviation": "Geophysical Research Letters",
        "DOI": "10.1002/2014GL060205",
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        "shortTitle": "European heatwave in July 2006",
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            "creatorType": "author",
            "firstName": "N.",
            "lastName": "Akhtar"
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            "lastName": "Brauch"
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        "abstractNote": "So-called medicanes (Mediterranean hurricanes) are meso-scale, marine, and warm-core Mediterranean cyclones that exhibit some similarities to tropical cyclones. The strong cyclonic winds associated with medicanes threaten the highly populated coastal areas around the Mediterranean basin. To reduce the risk of casualties and overall negative impacts, it is important to improve the understanding of medicanes with the use of numerical models. In this study, we employ an atmospheric limited-area model (COSMO-CLM) coupled with a one-dimensional ocean model (1-D NEMO-MED12) to simulate medicanes. The aim of this study is to assess the robustness of the coupled model in simulating these extreme events. For this purpose, 11 historical medicane events are simulated using the atmosphere-only model, COSMO-CLM, and coupled model, with different setups (horizontal atmospheric grid spacings of 0.44, 0.22, and 0.08&deg;; with/without spectral nudging, and an ocean grid spacing of 1/12&deg;). The results show that at high resolution, the coupled model is able to not only simulate most of medicane events but also improve the track length, core temperature, and wind speed of simulated medicanes compared to the atmosphere-only simulations. The results suggest that the coupled model is more proficient for systemic and detailed studies of historical medicane events, and that this model can be an effective tool for future projections.",
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            "lastName": "Braud"
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            "lastName": "Davolio"
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            "lastName": "Delrieu"
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            "lastName": "Estournel"
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            "lastName": "Homar"
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            "creatorType": "author",
            "firstName": "B.",
            "lastName": "Ivančan-Picek"
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            "firstName": "C.",
            "lastName": "Kottmeier"
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            "firstName": "W.",
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            "firstName": "R.",
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            "lastName": "Somot"
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            "creatorType": "author",
            "firstName": "R.",
            "lastName": "Uijlenhoet"
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            "creatorType": "author",
            "firstName": "H.",
            "lastName": "Wernli"
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        ],
        "abstractNote": "",
        "publicationTitle": "Bulletin of the American Meteorological Society",
        "publisher": "",
        "place": "",
        "date": "07/2014",
        "volume": "95",
        "issue": "7",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "1063-1082",
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        "journalAbbreviation": "Bull. Amer. Meteor. Soc.",
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        "shortTitle": "HyMeX",
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        "creatorSummary": "Torma and Giorgi",
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        "title": "Assessing the contribution of different factors in regional climate model projections using the factor separation method",
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            "firstName": "Csaba",
            "lastName": "Torma"
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            "firstName": "Filippo",
            "lastName": "Giorgi"
          }
        ],
        "abstractNote": "Abstract \n             \n               \n                This study applies the factor separation ( \n                FS \n                ) method to investigate the contributions of different factors, along with their synergy, on a set of regional climate model ( \n                RCM \n                ) projections for the Mediterranean region. The \n                FS \n                method is applied to six projections for the period 1970–2100 performed with the regional model \n                RegCM4 \n                over the Med‐ \n                CORDEX \n                domain. Two different sets of factors are intercompared, namely the driving global climate model ( \n                GCM \n                ) boundary conditions against two model physics settings (convection scheme and irrigation). We demonstrate the usefulness of the \n                FS \n                method to assess different sources of uncertainty in \n                RCM \n                ‐based regional climate projections \n               \n              .",
        "publicationTitle": "Atmospheric Science Letters",
        "publisher": "",
        "place": "",
        "date": "10/2014",
        "volume": "15",
        "issue": "4",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "239-244",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Atmospheric Science Letters",
        "DOI": "10.1002/asl2.491",
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        "creatorSummary": "Lebeaupin Brossier et al.",
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      "data": {
        "key": "7TZZHRWZ",
        "version": 340,
        "itemType": "journalArticle",
        "title": "Regional mesoscale air–sea coupling impacts and extreme meteorological events role on the Mediterranean Sea water budget",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Cindy",
            "lastName": "Lebeaupin Brossier"
          },
          {
            "creatorType": "author",
            "firstName": "Sophie",
            "lastName": "Bastin"
          },
          {
            "creatorType": "author",
            "firstName": "Karine",
            "lastName": "Béranger"
          },
          {
            "creatorType": "author",
            "firstName": "Philippe",
            "lastName": "Drobinski"
          }
        ],
        "abstractNote": "The Mediterranean Sea water budget (MWB) is a key parameter, as it controls the Mediterranean Sea water loss and thus the Atlantic Water inflow and the Mediterranean general circulation. More accurately, the MWB controls the net flow through the Strait of Gibraltar, which implies both inflow and outflow. Generally considered at the basin scale and over long-term periods, the MWB is in fact characterized by a large variability in space and time, induced by the complex topography of the region, mesoscale processes and (short) intense events in the ocean and atmosphere compartments. In this study, we use an ocean-atmosphere coupled system at mesoscale able to represent such phenomena, to evaluate the MWB atmospheric components: Evaporation (E) and Precipitation (P). We compare two companion regional simulations: an uncoupled atmospheric run using the ERA-interim Sea Surface Temperature (SST) reanalysis and a coupled run using the MORCE system with the two-way coupling between the NEMO-MED12 eddy-resolving ocean model and the non-hydrostatic Weather Research and Forecasting atmospheric model. We first evaluate the SST validity against satellite data and evidence the coupled system ability in representing SST mesoscale structures, characteristics of the Mediterranean circulation and of small-scale ocean processes, despite a colder mean value and a lower amplitude of the annual cycle. Then, the comparison aims to examine the coupled processes effects (meaning the impacts of the interactive high-resolution and high-frequency SST) on E and P and on their variability. The comparison highlights that the SST is the controlling factor for E and P budgets, with reduction by 6 and 3 % in the coupled run compared to the uncoupled run, respectively. The modifications propagate until 750 km inland far from the Mediterranean coast, as towards the Atlantic Ocean and the Black Sea. This indicates that coupling plays a major role in distributing water at mesoscale. The coupling directly modifies the seasonal variability. It also significantly decreases extreme evaporation and precipitation occurences and intensities. This extreme events mitigation in the coupled run contributes for ~50 % to the decrease in the E and P budgets.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2015-02-01",
        "volume": "44",
        "issue": "3",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "1029-1051",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-014-2252-z",
        "citationKey": "",
        "url": "https://doi.org/10.1007/s00382-014-2252-z",
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        "ISSN": "1432-0894",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "Springer Link",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [
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            "tag": "Air–sea coupling",
            "type": 1
          },
          {
            "tag": "Extreme events",
            "type": 1
          },
          {
            "tag": "HyMeX",
            "type": 1
          },
          {
            "tag": "MORCE",
            "type": 1
          },
          {
            "tag": "Med-CORDEX",
            "type": 1
          },
          {
            "tag": "Mediterranean Sea",
            "type": 1
          },
          {
            "tag": "Water budget",
            "type": 1
          }
        ],
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        "dateAdded": "2025-08-13T16:38:20Z",
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    {
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        "creatorSummary": "Stéfanon et al.",
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      "data": {
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        "version": 339,
        "itemType": "journalArticle",
        "title": "Testing climate models using an impact model: what are the advantages?",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Marc",
            "lastName": "Stéfanon"
          },
          {
            "creatorType": "author",
            "firstName": "Nicolas K.",
            "lastName": "Martin-StPaul"
          },
          {
            "creatorType": "author",
            "firstName": "Paul",
            "lastName": "Leadley"
          },
          {
            "creatorType": "author",
            "firstName": "Sophie",
            "lastName": "Bastin"
          },
          {
            "creatorType": "author",
            "firstName": "Alessandro",
            "lastName": "Dell’Aquila"
          },
          {
            "creatorType": "author",
            "firstName": "Philippe",
            "lastName": "Drobinski"
          },
          {
            "creatorType": "author",
            "firstName": "Clemente",
            "lastName": "Gallardo"
          }
        ],
        "abstractNote": "Global and regional climate model (GCM and RCM) outputs are often used as climate forcing for ecological impact models, and this potentially results in large cumulative errors because information and error are passed sequentially along the modeling chain from GCM to RCM to impact model. There are also a growing number of Earth system modeling platforms in which climate and ecological models are dynamically coupled, and in this case error amplification due to feedbacks can lead to even more serious problems. It is essential in both cases to rethink the organization of evaluation which typically relies on independent validation at each successive step, and to rely more heavily on analyses that cover the full modeling chain and thus require stronger interactions between climate and impact modelers. In this paper, we illustrate the benefits of using impact models as an additional source of information for evaluating climate models. Four RCMs that are part of the HyMeX (Hydrological cycle in Mediterranean EXperiment) and Mediterranean CORDEX projects (MED-CORDEX) were tested with observed climatology and a process-based model of European beech (Fagus sylvatica L.) tree growth and forest ecosystem functioning that has been rigorously validated. This two part analysis i) indicates that evaluation of RCMs on climate variables alone may be insufficient to determine the suitability of RCMs for studies of climate-forest interactions and ii) points to areas of improvement in these RCMs that would improve impact studies or behavior in coupled climate-ecosystem models over the spatial domain studied.",
        "publicationTitle": "Climatic Change",
        "publisher": "",
        "place": "",
        "date": "2015-08-01",
        "volume": "131",
        "issue": "4",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "649-661",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Climatic Change",
        "DOI": "10.1007/s10584-015-1412-4",
        "citationKey": "",
        "url": "https://doi.org/10.1007/s10584-015-1412-4",
        "accessDate": "2025-08-13T16:37:59Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "1573-1480",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Testing climate models using an impact model",
        "language": "en",
        "libraryCatalog": "Springer Link",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [
          {
            "tag": "Bias Correction",
            "type": 1
          },
          {
            "tag": "European Beech",
            "type": 1
          },
          {
            "tag": "Impact Model",
            "type": 1
          },
          {
            "tag": "Tree Growth",
            "type": 1
          },
          {
            "tag": "Warm Bias",
            "type": 1
          }
        ],
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        "dateAdded": "2025-08-13T16:38:09Z",
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    },
    {
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        "creatorSummary": "Torma et al.",
        "parsedDate": "2015-05-16",
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      "data": {
        "key": "HZM9HL5Z",
        "version": 338,
        "itemType": "journalArticle",
        "title": "Added value of regional climate modeling over areas characterized by complex terrain—Precipitation over the Alps",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Csaba",
            "lastName": "Torma"
          },
          {
            "creatorType": "author",
            "firstName": "Filippo",
            "lastName": "Giorgi"
          },
          {
            "creatorType": "author",
            "firstName": "Erika",
            "lastName": "Coppola"
          }
        ],
        "abstractNote": "Abstract \n            We present an analysis of the added value (AV) of downscaling via regional climate model (RCM) nesting with respect to the driving global climate models (GCMs). We analyze ensembles of driving GCM and nested RCM (two resolutions, 0.44° and 0.11°) simulations for the late 20th and late 21st centuries from the CMIP5, EURO‐CORDEX, and MED‐CORDEX experiments, with a focus on the Alpine region. Different metrics of AV are investigated, measuring aspects of precipitation where substantial AV can be expected in mountainous terrains: spatial pattern of mean precipitation, daily precipitation intensity distribution, and daily precipitation extremes tails. Comparison with a high‐quality, fine‐scale (5 km) gridded observational data set shows substantial AV of RCM downscaling for all metrics selected, and results are mostly improved compared to the driving GCMs also when the RCM fields are upscaled at the scale of the GCM resolution. We also find consistent improvements in the high‐resolution (0.11°) versus medium‐resolution (0.44°) RCM simulations. Finally, we find that the RCM downscaling substantially modulates the GCM‐produced precipitation change signal in future climate projections, particularly in terms of fine‐scale spatial pattern associated with the complex topography of the region. Our results thus point to the important role that high‐resolution nested RCMs can play in the study of climate change over areas characterized by complex topographical features. \n          ,  \n            Key Points \n             \n               \n                 \n                  RCMs produce substantial added value over complex topography regions \n                 \n                 \n                  High resolution improves precipitation spatial patterns simulation and extremes \n                 \n                 \n                  RCMs are important tools for climate studies over complex topographical regions",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
        "publisher": "",
        "place": "",
        "date": "2015-05-16",
        "volume": "120",
        "issue": "9",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "3957-3972",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "JGR Atmospheres",
        "DOI": "10.1002/2014JD022781",
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        "ISSN": "2169-897X, 2169-8996",
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        "shortTitle": "",
        "language": "en",
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        "abstractNote": "Given the coarse spatial resolution of General Circulation Models, finer scale projections of variables affected by local-scale processes such as precipitation are often needed to drive impacts models, for example in hydrology or ecology among other fields. This need for high-resolution data leads to apply projection techniques called downscaling. Downscaling can be performed according to two approaches: dynamical and statistical models. The latter approach is constituted by various statistical families conceptually different. If several studies have made some intercomparisons of existing downscaling models, none of them included all those families and approaches in a manner that all the models are equally considered. To this end, the present study conducts an intercomparison exercise under the EURO- and MED-CORDEX initiative hindcast framework. Six Statistical Downscaling Models (SDMs) and five Regional Climate Models (RCMs) are compared in terms of precipitation outputs. The downscaled simulations are driven by the ERAinterim reanalyses over the 1989–2008 period over a common area at 0.44° of resolution. The 11 models are evaluated according to four aspects of the precipitation: occurrence, intensity, as well as spatial and temporal properties. For each aspect, one or several indicators are computed to discriminate the models. The results indicate that marginal properties of rain occurrence and intensity are better modelled by stochastic and resampling-based SDMs, while spatial and temporal variability are better modelled by RCMs and resampling-based SDM. These general conclusions have to be considered with caution because they rely on the chosen indicators and could change when considering other specific criteria. The indicators suit specific purpose and therefore the model evaluation results depend on the end-users point of view and how they intend to use with model outputs. Nevertheless, building on previous intercomparison exercises, this study provides a consistent intercomparison framework, including both SDMs and RCMs, which is designed to be flexible, i.e., other models and indicators can easily be added. More generally, this framework provides a tool to select the downscaling model to be used according to the statistical properties of the local-scale climate data to drive properly specific impact models.",
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        "title": "Spatial and temporal variability of wind energy resource and production over the North Western Mediterranean Sea: Sensitivity to air-sea interactions",
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        "abstractNote": "This work assesses the sensitivity of the offshore wind energy density and production to SST biases and air-sea feedbacks along the French and Spanish coast in the North-Western Mediterranean. It makes use of a set of three 20-years simulations from atmosphere stand-alone and atmosphere/ocean coupled models. In this numerical experiment, the effects of SST bias and air-sea feedbacks are isolated without any interference with other sources of error and uncertainty propagation, meaning that the same model and hence the same physics are used, all other things being equal. This study shows that the effects of SST bias or air-sea feedbacks on wind energy density and production estimation can reach up to 10% and 5%, respectively. Especially, accounting for air-sea coupled processes on sub-monthly time scales weakens systematically the energy density and production by 6.5% and 2.4% with respect to the configuration where these effects are neglected. The relative variability over the 20 years of simulation does not exceed 20% so the impact of air-sea feedbacks is very robust in time in terms of wind energy density and production assessment. Uncertainties up to 6.5 and 2.5% in the evaluation of the potential in terms of wind energy density and production potential can have severe consequences on the whole industry by lowering the projects profitability. This study shows that the effects of SST bias and air-sea feedbacks usually extend vertically up to the hub-height but their magnitude depends on the stability of the atmosphere. This study concludes that reducing the SST bias at the lower boundary of numerical atmospheric models and accounting for rapid interactions and feedbacks between the ocean and the atmosphere are key to improve the reliability of offshore wind energy density and production assessment.",
        "publicationTitle": "Renewable Energy",
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        "abstractNote": "The Mistral and Tramontane are mesoscale winds in southern France and above the Western Mediterranean Sea. They are phenomena well suited for studying channeling effects as well as atmosphere–land/ocean processes. This sensitivity study deals with the influence of the sea surface roughness length parameterizations on simulated Mistral and Tramontane wind speed and wind direction. Several simulations with the regional climate model COSMO-CLM were performed for the year 2005 with varying values for the Charnock parameter α. Above the western Mediterranean area, the simulated wind speed and wind direction pattern on Mistral days changes depending on the parameterization used. Higher values of α lead to lower simulated wind speeds. In areas, where the simulated wind speed does not change much, a counterclockwise rotation of the simulated wind direction is observed.",
        "proceedingsTitle": "Advances in Science and Research",
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        "title": "A multi-model ensemble view of winter heat flux dynamics and the dipole mode in the Mediterranean Sea",
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            "firstName": "Giovanni",
            "lastName": "Liguori"
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        "abstractNote": "Changes in surface heat fluxes affect several climate processes controlling the Mediterranean climate. These include the winter formation of deep waters, which is the primary driver of the Mediterranean Sea overturning circulation. Previous studies that characterize the spatial and temporal variability of surface heat flux anomalies over the basin reveal the existence of two statistically dominant patterns of variability: a monopole of uniform sign and an east–west dipole of opposite signs. In this work, we use the 12 regional climate model ensemble from the EU-FP6 ENSEMBLES project to diagnose the large-scale atmospheric processes that control the variability of heat fluxes over the Mediterranean Sea from interannual to decadal timescales (here defined as timescales > 6 year). Our findings suggest that while the monopole structure captures variability in the winter-to-winter domain-average net heat flux, the dipole pattern tracks changes in the Mediterranean climate that are connected to the East Atlantic/Western Russia (EA/WR) atmospheric teleconnection pattern. Furthermore, while the monopole exhibits significant differences in the spatial structure across the multi-model ensemble, the dipole pattern is very robust and more clearly identifiable in the anomaly maps of individual years. A heat budget analysis of the dipole pattern reveals that changes in winds associated with the EA/WR pattern exert dominant control through both a direct effect on the latent heat flux (i.e., wind speed) and an indirect effect through specific humidity (e.g., wind advection). A simple reconstruction of the heat flux variability over the deep-water formation regions of the Gulf of Lion and the Aegean Sea reveals that the combination of the monopole and dipole time series explains over 90 % of the heat flux variance in these regions. Given the important role that surface heat flux anomalies play in deep-water formation and the regional climate, improving our knowledge on the dynamics controlling the leading modes of heat flux variability may enhance our predictability of the climate of the Mediterranean area.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2017-02-01",
        "volume": "48",
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        "pages": "1089-1108",
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        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-016-3129-0",
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        "title": "Cyclone contribution to the Mediterranean Sea water budget",
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            "firstName": "E.",
            "lastName": "Flaounas"
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            "firstName": "A.",
            "lastName": "Di Luca"
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            "firstName": "S.",
            "lastName": "Mailler"
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            "firstName": "T.",
            "lastName": "Arsouze"
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            "lastName": "Bastin"
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            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Beranger"
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            "firstName": "C.",
            "lastName": "Lebeaupin Brossier"
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        ],
        "abstractNote": "This paper analyzes the impact of cyclones to the atmospheric components on the Mediterranean Sea Water Budget, namely the cyclones contribution to precipitation and evaporation over the Mediterranean Sea. Three regional simulations were performed with the WRF model for the period 1989–2008. The model was run (1) as a standalone model, (2) coupled with the oceanic model NEMO-MED12 and (3) forced by the smoothed Sea Surface Temperature (SST) fields from the second simulation. Cyclones were tracked in all simulations, and their contribution to the total rainfall and evaporation was quantified. Results show that cyclones are mainly associated with extreme precipitation, representing more than 50 % of the annual rainfall over the Mediterranean Sea. On the other hand, we found that cyclone-induced evaporation represents only a small fraction of the annual total, except in winter, when the most intense Mediterranean cyclones take place. Despite the significant contribution of cyclones to rainfall, our results show that there is a balance between cyclone-induced rainfall and evaporation, suggesting a weak net impact of cyclones on the Mediterranean Sea water budget. The sensitivity of our results with respect to rapid SST changes during the development of cyclones was also investigated. Both rainfall and evaporation are affected in correlation with the SST response to the atmosphere. In fact, air feedbacks to the Mediterranean Sea during the cyclones occurrence were shown to cool down the SST and consequently to reduce rainfall and evaporation at the proximity of cyclone centers.",
        "publicationTitle": "Climate Dynamics",
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        "date": "2016-02-01",
        "volume": "46",
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        "pages": "913-927",
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        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-015-2622-1",
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        "title": "Scaling of precipitation extremes with temperature in the French Mediterranean region: What explains the hook shape?",
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            "lastName": "Drobinski"
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            "lastName": "Alonzo"
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          }
        ],
        "abstractNote": "Abstract \n             \n              Expected changes to future extreme precipitation remain a key uncertainty associated with anthropogenic climate change. Extreme precipitation has been proposed to scale with the precipitable water content in the atmosphere. Assuming constant relative humidity, this implies an increase of precipitation extremes at a rate of about 7% °C \n              −1 \n              globally as indicated by the Clausius‐Clapeyron relationship. Increases faster and slower than Clausius‐Clapeyron have also been reported. In this work, we examine the scaling between precipitation extremes and temperature in the present climate using simulations and measurements from surface weather stations collected in the frame of the HyMeX and MED‐CORDEX programs in Southern France. Of particular interest are departures from the Clausius‐Clapeyron thermodynamic expectation, their spatial and temporal distribution, and their origin. Looking at the scaling of precipitation extreme with temperature, two regimes emerge which form a hook shape: one at low temperatures (cooler than around 15°C) with rates of increase close to the Clausius‐Clapeyron rate and one at high temperatures (warmer than about 15°C) with sub‐Clausius‐Clapeyron rates and most often negative rates. On average, the region of focus does not seem to exhibit super Clausius‐Clapeyron behavior except at some stations, in contrast to earlier studies. Many factors can contribute to departure from Clausius‐Clapeyron scaling: time and spatial averaging, choice of scaling temperature (surface versus condensation level), and precipitation efficiency and vertical velocity in updrafts that are not necessarily constant with temperature. But most importantly, the dynamical contribution of orography to precipitation in the fall over this area during the so‐called “Cevenoles” events, explains the hook shape of the scaling of precipitation extremes. \n             \n          ,  \n            Key Points \n             \n               \n                 \n                  Departures from the Clausius‐Clapeyron thermodynamic expectation \n                 \n                 \n                  Impact of seasonal precipitation variability on precipitation extremes scaling \n                 \n                 \n                  Dynamical contribution of orography to precipitation extremes scaling",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
        "publisher": "",
        "place": "",
        "date": "2016-04-16",
        "volume": "121",
        "issue": "7",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "3100-3119",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "JGR Atmospheres",
        "DOI": "10.1002/2015JD023497",
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        "accessDate": "2025-08-13T16:34:16Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "2169-897X, 2169-8996",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Scaling of precipitation extremes with temperature in the French Mediterranean region",
        "language": "en",
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        "title": "Climate change impacts on surface water resources in the Rheraya catchment (High Atlas, Morocco)",
        "creators": [
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            "creatorType": "author",
            "firstName": "Ahmed",
            "lastName": "Marchane"
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            "creatorType": "author",
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            "lastName": "Tramblay"
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            "firstName": "Lionel",
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        "publicationTitle": "Hydrological Sciences Journal",
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        "date": "2017-04-26",
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        "pages": "979-995",
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        "journalAbbreviation": "Hydrological Sciences Journal",
        "DOI": "10.1080/02626667.2017.1283042",
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    {
      "key": "4JIEDQGJ",
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        "creatorSummary": "Filahi et al.",
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        "key": "4JIEDQGJ",
        "version": 328,
        "itemType": "journalArticle",
        "title": "Projected changes in temperature and precipitation indices in Morocco from high‐resolution regional climate models",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Said",
            "lastName": "Filahi"
          },
          {
            "creatorType": "author",
            "firstName": "Yves",
            "lastName": "Tramblay"
          },
          {
            "creatorType": "author",
            "firstName": "Latifa",
            "lastName": "Mouhir"
          },
          {
            "creatorType": "author",
            "firstName": "Emilia Paula",
            "lastName": "Diaconescu"
          }
        ],
        "abstractNote": "ABSTRACT \n             \n              The climate of Morocco is characterized by a strong spatial and inter‐annual variability. This study provides an evaluation of high‐resolution regional climate model ( \n              RCM \n              ) simulations of precipitation and temperature over Morocco and future projections based on two emission scenarios. The evaluation of the \n              RCM \n              ensemble over the historical period is performed with a network of 20 weather stations, using Taylor and Portrait diagrams. The results show that the four simulations considered ( \n              CLM \n              , \n              CNRM \n              , \n              KNMI \n              and \n              IPSL \n              ) are generally able to simulate climate indices and no model is performing significantly better. This ensemble of \n              RCM \n              simulations captures the precipitation and temperature spatiotemporal patterns in the evaluation and historical runs. Climate change scenarios are presented with the goal to identify spatial patterns of change over Morocco, to provide information for climate policy and adaptation. The \n              RCP4 \n              .5 and \n              RCP8 \n              .5 emission scenarios are considered for two time horizons, 2036–2065 and 2066–2095. A large increase in temperature is observed by the end of the century in particular for the \n              RCP8 \n              .5 scenario over the Southeast regions. The minimum temperature is expected to increase more than maximum temperature in most parts of Morocco, with the exception of the Eastern regions. The different \n              RCMs \n              show a strong agreement towards similar changes for most temperature‐based indices. The climate change signal is less homogeneous in the different simulations for most of the precipitation indices. Nevertheless, there is a clear decrease of precipitation totals in the different simulations, following a north to south gradient. However, for heavy rainfall events, there are strong uncertainties in projections and the four \n              RCM \n              simulations disagree about the future changes.",
        "publicationTitle": "International Journal of Climatology",
        "publisher": "",
        "place": "",
        "date": "11/2017",
        "volume": "37",
        "issue": "14",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "4846-4863",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Intl Journal of Climatology",
        "DOI": "10.1002/joc.5127",
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        "url": "https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.5127",
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        "language": "en",
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        "dateAdded": "2025-08-13T16:31:35Z",
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        "creatorSummary": "Colmet-Daage et al.",
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        "itemType": "journalArticle",
        "title": "Evaluation of uncertainties in mean and extreme precipitation under climate change for northwestern Mediterranean watersheds from high-resolution Med and Euro-CORDEX ensembles",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Antoine",
            "lastName": "Colmet-Daage"
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          {
            "creatorType": "author",
            "firstName": "Emilia",
            "lastName": "Sanchez-Gomez"
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            "creatorType": "author",
            "firstName": "Sophie",
            "lastName": "Ricci"
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            "creatorType": "author",
            "firstName": "Cécile",
            "lastName": "Llovel"
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            "creatorType": "author",
            "firstName": "Valérie",
            "lastName": "Borrell Estupina"
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            "creatorType": "author",
            "firstName": "Pere",
            "lastName": "Quintana-Seguí"
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            "creatorType": "author",
            "firstName": "Maria Carmen",
            "lastName": "Llasat"
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            "creatorType": "author",
            "firstName": "Eric",
            "lastName": "Servat"
          }
        ],
        "abstractNote": "The climate change impact on mean and extreme precipitation events in the northern Mediterranean region is assessed using high-resolution EuroCORDEX and MedCORDEX simulations. The focus is made on three regions, Lez and Aude located in France, and Muga located in northeastern Spain, and eight pairs of global and regional climate models are analyzed with respect to the SAFRAN product. First the model skills are evaluated in terms of bias for the precipitation annual cycle over historical period. Then future changes in extreme precipitation, under two emission scenarios, are estimated through the computation of past/future change coefficients of quantile-ranked model precipitation outputs. Over the 1981–2010 period, the cumulative precipitation is overestimated for most models over the mountainous regions and underestimated over the coastal regions in autumn and higher-order quantile. The ensemble mean and the spread for future period remain unchanged under RCP4.5 scenario and decrease under RCP8.5 scenario. Extreme precipitation events are intensified over the three catchments with a smaller ensemble spread under RCP8.5 revealing more evident changes, especially in the later part of the 21st century.",
        "publicationTitle": "Hydrology and Earth System Sciences",
        "publisher": "",
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        "date": "2018-01-25",
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        "pages": "673-687",
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        "creatorSummary": "Belušić et al.",
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        "version": 326,
        "itemType": "journalArticle",
        "title": "Near-surface wind variability over the broader Adriatic region: insights from an ensemble of regional climate models",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Andreina",
            "lastName": "Belušić"
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          {
            "creatorType": "author",
            "firstName": "Maja Telišman",
            "lastName": "Prtenjak"
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          {
            "creatorType": "author",
            "firstName": "Ivan",
            "lastName": "Güttler"
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          {
            "creatorType": "author",
            "firstName": "Nikolina",
            "lastName": "Ban"
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          {
            "creatorType": "author",
            "firstName": "David",
            "lastName": "Leutwyler"
          },
          {
            "creatorType": "author",
            "firstName": "Christoph",
            "lastName": "Schär"
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        ],
        "abstractNote": "Over the past few decades the horizontal resolution of regional climate models (RCMs) has steadily increased, leading to a better representation of small-scale topographic features and more details in simulating dynamical aspects, especially in coastal regions and over complex terrain. Due to its complex terrain, the broader Adriatic region represents a major challenge to state-of-the-art RCMs in simulating local wind systems realistically. The objective of this study is to identify the added value in near-surface wind due to the refined grid spacing of RCMs. For this purpose, we use a multi-model ensemble composed of CORDEX regional climate simulations at 0.11° and 0.44° grid spacing, forced by the ERA-Interim reanalysis, a COSMO convection-parameterizing simulation at 0.11° and a COSMO convection-resolving simulation at 0.02° grid spacing. Surface station observations from this region and satellite QuikSCAT data over the Adriatic Sea have been compared against daily output obtained from the available simulations. Both day-to-day wind and its frequency distribution are examined. The results indicate that the 0.44° RCMs rarely outperform ERA-Interim reanalysis, while the performance of the high-resolution simulations surpasses that of ERA-Interim. We also disclose that refining the grid spacing to a few km is needed to properly capture the small-scale wind systems. Finally, we show that the simulations frequently yield the accurate angle of local wind regimes, such as for the Bora flow, but overestimate the associated wind magnitude. Finally, spectral analysis shows good agreement between measurements and simulations, indicating the correct temporal variability of the wind speed.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2018-06-01",
        "volume": "50",
        "issue": "11",
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        "partTitle": "",
        "pages": "4455-4480",
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        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-017-3885-5",
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        "shortTitle": "Near-surface wind variability over the broader Adriatic region",
        "language": "en",
        "libraryCatalog": "Springer Link",
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        "tags": [
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            "tag": "Adriatic region",
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            "tag": "Convection-resolving models",
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        "creatorSummary": "Vara et al.",
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        "version": 320,
        "itemType": "journalArticle",
        "title": "Role of atmospheric resolution in the long-term seasonal variability of the Tyrrhenian Sea circulation from a set of ocean hindcast simulations (1997–2008)",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Alba de la",
            "lastName": "Vara"
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          {
            "creatorType": "author",
            "firstName": "Pedro Galán",
            "lastName": "del Sastre"
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            "creatorType": "author",
            "firstName": "Thomas",
            "lastName": "Arsouze"
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            "creatorType": "author",
            "firstName": "Clemente",
            "lastName": "Gallardo"
          },
          {
            "creatorType": "author",
            "firstName": "Miguel Ángel",
            "lastName": "Gaertner"
          }
        ],
        "abstractNote": "The Tyrrhenian circulation, driven by the interplay of transport at its main straits and local climate, presents a marked seasonal variability. In this work we investigate the role of the horizontal resolution of the atmospheric fields in the long-term seasonal variability of the Tyrrhenian Sea circulation. We adopt the eddy-permitting ocean circulation model NEMO-MED12. Simulations cover the 1997–2008 period and are driven by atmospheric fields from PROMES regional climate model with a horizontal resolution of 50 km and 25 km. Given that this is the first time that PROMES variables have been used to run ocean simulations, we first evaluate the overall performance of this setup taking into consideration the entire model domain, which covers the whole Mediterranean Sea. We show that PROMES variables allow a good representation of the Mediterranean boundary fluxes and water masses. Focusing on the Tyrrhenian Sea, the comparison of the model results to altimeter data shows that the main features of the seasonal variability of the Tyrrhenian large-scale circulation are well captured regardless of the resolution of the atmospheric fields. However, the prescription of 25 km resolution atmospheric fields improves substantially the representation of the dynamical structures resolved by the model. Based on our results, we update intermediate-depth circulation patterns, very little studied so far. We show that changes observed with 25 km fields are not due to a better simulation of transport across Corsica, Sardinia and Sicily straits, but rather to the improved representation of winds.",
        "publicationTitle": "Ocean Modelling",
        "publisher": "",
        "place": "",
        "date": "2019-02-01",
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        "DOI": "10.1016/j.ocemod.2019.01.004",
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          {
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          {
            "tag": "Regional ocean model",
            "type": 1
          },
          {
            "tag": "Seasonal circulation patterns",
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        "abstractNote": "Abstract. This work uses a network of GPS stations over Europe from which a homogenized\nintegrated water vapor (IWV) dataset has been retrieved, completed with\ncolocated temperature and precipitation measurements over specific stations\nto (i) estimate the biases of six regional climate models over Europe in terms\nof humidity; (ii) understand their origins; and (iii) finally assess the impact\nof these biases on the frequency of occurrence of precipitation. The\nevaluated simulations have been performed in the framework of\nHYMEX/Med-CORDEX programs and cover the Mediterranean area and part of Europe\nat horizontal resolutions of 50 to 12 km. The analysis shows that models tend to overestimate the low values of IWV\nand the use of the nudging technique reduces the differences between GPS and\nsimulated IWV. Results suggest that physics of models mostly explain the\nmean biases, while dynamics affects the variability. The land\nsurface–atmosphere exchanges affect the estimation of IWV over most part of\nEurope, especially in summer. The limitations of the models to represent\nthese processes explain part of their biases in IWV. However, models\ncorrectly simulate the dependance between IWV and temperature, and\nspecifically the deviation that this relationship experiences regarding the\nClausius–Clapeyron law after a critical value of temperature (Tbreak).\nThe high spatial variability of Tbreak indicates that it has a strong\ndependence on local processes which drive the local humidity sources. This\nexplains why the maximum values of IWV are not necessarily observed over\nwarmer areas, which are often dry areas. Finally, it is shown over the SIRTA observatory (near Paris) that the frequency\nof occurrence of light precipitation is strongly conditioned by the biases\nin IWV and by the precision of the models to reproduce the distribution of\nIWV as a function of the temperature. The results of the models indicate\nthat a similar dependence occurs in other areas of Europe, especially where\nprecipitation has a predominantly convective character. According to the\nobservations, for each range of temperature, there is a critical value of\nIWV from which precipitation starts to increase. The critical values and the\nprobability of exceeding them are simulated with a bias that depends on the\nmodel. Those models, which generally present light precipitation too often,\nshow lower critical values and higher probability of exceeding them.",
        "publicationTitle": "Atmospheric Chemistry and Physics",
        "publisher": "",
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        "date": "2019-02-04",
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        "partNumber": "",
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        "pages": "1471-1490",
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            "firstName": "Florian",
            "lastName": "Raymond"
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            "lastName": "Camberlin"
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        "publicationTitle": "Regional Environmental Change",
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        "date": "12/2019",
        "volume": "19",
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        "pages": "2339-2351",
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        "journalAbbreviation": "Reg Environ Change",
        "DOI": "10.1007/s10113-019-01526-3",
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        "abstractNote": "Abstract \n             \n              The present work aims to quantify the impact of climate change (CC) on the grain yields of irrigated cereals and their water requirements in the Tensift region of Morocco. The Med-CORDEX (MEDiterranean COordinated Regional Climate Downscaling EXperiment) ensemble runs under scenarios RCP4.5 (Representative Concentration Pathway) and RCP8.5 are first evaluated and disaggregated using the quantile-quantile approach. The impact of CC on the duration of the main wheat phenological stages based on the degree-day approach is then analyzed. The results show that the rise in air temperature causes a shortening of the development cycle of up to 50 days. The impacts of rising temperature and changes in precipitation on wheat yields are next evaluated, based on the AquaCrop model, both with and without taking into account the fertilizing effect of CO \n              2 \n              . As expected, optimal wheat yields will decrease on the order of 7 to 30% if CO \n              2 \n              concentration rise is not considered. The fertilizing effect of CO \n              2 \n              can counterbalance yield losses, since optimal yields could increase by 7% and 13% respectively at mid-century for the RCP4.5 and RCP8.5 scenarios. Finally, water requirements are expected to decrease by 13 to 42%, mainly in response to the shortening of the cycle. This decrease is associated with a change in temporal patterns, with the requirement peak coming two months earlier than under current conditions.",
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        "title": "Representation of spatial and temporal variability of daily wind speed and of intense wind events over the Mediterranean Sea using dynamical downscaling: impact of the regional climate model configuration",
        "creators": [
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            "creatorType": "author",
            "firstName": "M.",
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        "abstractNote": "Abstract. Atmospheric datasets coming from long term reanalyzes of low spatial resolution are used for different purposes. Wind over the sea is, for example, a major ingredient of oceanic simulations. However, the shortcomings of those datasets prevent them from being used without an adequate corrective preliminary treatment. Using a regional climate model (RCM) to perform a dynamical downscaling of those large scale reanalyzes is one of the methods used in order to produce fields that realistically reproduce atmospheric chronology and where those shortcomings are corrected. Here we assess the influence of the configuration of the RCM used in this framework on the representation of wind speed spatial and temporal variability and intense wind events on a daily timescale. Our RCM is ALADIN-Climate, the reanalysis is ERA-40, and the studied area is the Mediterranean Sea.  First, the dynamical downscaling significantly reduces the underestimation of daily wind speed, in average by 9 % over the whole Mediterranean. This underestimation has been corrected both globally and locally, and for the whole wind speed spectrum. The correction is the strongest for periods and regions of strong winds. The representation of spatial variability has also been significantly improved. On the other hand, the temporal correlation between the downscaled field and the observations decreases all the more that one moves eastwards, i.e. further from the atmospheric flux entry. Nonetheless, it remains ~0.7, the downscaled dataset reproduces therefore satisfactorily the real chronology.  Second, the influence of the choice of the RCM configuration has an influence one order of magnitude smaller than the improvement induced by the initial downscaling. The use of spectral nudging or of a smaller domain helps to improve the realism of the temporal chronology. Increasing the resolution very locally (both spatially and temporally) improves the representation of spatial variability, in particular in regions strongly influenced by the complex surrounding orography. The impact of the interactive air-sea coupling is negligible for the temporal scales examined here. Using two different forcing datasets induces differences on the downscaled fields that are directly related to the differences between those datasets. Our results also show that improving the physics of our RCM is still necessary to increase the realism of our simulations. Finally, the choice of the optimal configuration depends on the scientific objectives of the study for which those wind datasets are used.",
        "publicationTitle": "Natural Hazards and Earth System Sciences",
        "publisher": "",
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        "date": "2011-07-19",
        "volume": "11",
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            "lastName": "Drakopoulou"
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        ],
        "abstractNote": "Abstract \n            Atmospheric circulation patterns that are conducive to extreme ocean heat loss are investigated at four sites of special interest in the Mediterranean Sea. The Gulf of Lions, the South Adriatic Sea, the Cretan Sea, and the Levantine Sea are areas where anomalously high winter heat loss may lead to deep- or intermediate-water formation. At each of the above sites, the atmospheric circulation during such events is derived by averaging the sea level pressure (SLP) fields during the lower decile of the wintertime series of the net heat exchange. A relatively simple SLP pattern dominated by an anticyclone over northwestern Europe with a weaker cyclone to the southeast is found to be associated with strong heat loss in the selected sites with minor variations in pattern structure depending on the site. The SLP composite pattern reflects the combined effect of different atmospheric modes of variability and the authors consider the impacts on heat loss of a number of these modes (North Atlantic Oscillation, east Atlantic pattern, east Atlantic–west Russia pattern, and Scandinavian pattern), together with the North Sea–Caspian pattern and the Mediterranean index. The extremes in heat loss are strongly connected with the intensity and the positions of the poles of these patterns that modulate, through the necessary SLP gradient and associated northerlies, the transfer of cold and dry air over the areas of dense-water formation. Analysis of air–sea temperature difference, specific humidity, and evaporation anomalies indicates that the extremes of the net heat fluxes are primarily due to the latent and sensible heat flux components.",
        "publicationTitle": "Journal of Climate",
        "publisher": "",
        "place": "",
        "date": "2012-09-15",
        "volume": "25",
        "issue": "18",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "6079-6091",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "",
        "DOI": "10.1175/JCLI-D-11-00657.1",
        "citationKey": "",
        "url": "http://journals.ametsoc.org/doi/10.1175/JCLI-D-11-00657.1",
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        "PMCID": "",
        "ISSN": "0894-8755, 1520-0442",
        "archive": "",
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        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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        "rights": "",
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        ],
        "relations": {},
        "dateAdded": "2025-08-12T15:40:31Z",
        "dateModified": "2025-08-12T15:40:31Z"
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        "creatorSummary": "Beuvier et al.",
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        "version": 274,
        "itemType": "journalArticle",
        "title": "Spreading of the Western Mediterranean Deep Water after winter 2005: Time scales and deep cyclone transport",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "J.",
            "lastName": "Beuvier"
          },
          {
            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Béranger"
          },
          {
            "creatorType": "author",
            "firstName": "C.",
            "lastName": "Lebeaupin Brossier"
          },
          {
            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "F.",
            "lastName": "Sevault"
          },
          {
            "creatorType": "author",
            "firstName": "Y.",
            "lastName": "Drillet"
          },
          {
            "creatorType": "author",
            "firstName": "R.",
            "lastName": "Bourdallé‐Badie"
          },
          {
            "creatorType": "author",
            "firstName": "N.",
            "lastName": "Ferry"
          },
          {
            "creatorType": "author",
            "firstName": "F.",
            "lastName": "Lyard"
          }
        ],
        "abstractNote": "This work is dedicated to the study of the propagation of the Western Mediterranean Deep Water (WMDW) formed in the Gulf of Lions during the exceptional winter 2005. A simulation of the 1998–2008 period has been carried out with an eddy‐resolving Ocean General Circulation Model of the Mediterranean Sea, driven by interannual high‐resolution air‐sea fluxes. This study first presents a validation of the recently improved model configuration against satellite observations. Then, we assess the ability of the model to reproduce the particularly intense deep convection event of winter 2005 in the Gulf of Lions. A huge volume of very dense water is formed in the simulation at that time (annual formation rate higher than 3 Sv). The thermohaline characteristics of the new WMDW allow a monitoring of its deep propagation. We identify several deep cyclones as mainly responsible of the fast spreading of the WMDW southwards in the Western Mediterranean. By comparing Eulerian and Lagrangian approaches, we estimate different transport times of the WMDW by these cyclonic eddies and compare them to those deduced from several observations. Finally, we argue that these cyclones favor the propagation of the WMDW thermohaline characteristics toward the Channel of Sardinia and decrease the volume of WMDW which can reach the Strait of Gibraltar. \n          ,  \n            Key Points \n             \n               \n                 \n                  Process study with an eddy‐resolving model of the Mediterranean Sea \n                 \n                 \n                  Modeling the intense deep convection of winter 2005 in the Gulf of Lions \n                 \n                 \n                  Deep propagation of the new WMDW by cyclonic eddies",
        "publicationTitle": "Journal of Geophysical Research: Oceans",
        "publisher": "",
        "place": "",
        "date": "07/2012",
        "volume": "117",
        "issue": "C7",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "2011JC007679",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "J. Geophys. Res.",
        "DOI": "10.1029/2011JC007679",
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        "accessDate": "2025-08-12T15:40:14Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "0148-0227",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Spreading of the Western Mediterranean Deep Water after winter 2005",
        "language": "en",
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    {
      "key": "9N7UA3HR",
      "version": 273,
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        "creatorSummary": "Nabat et al.",
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      "data": {
        "key": "9N7UA3HR",
        "version": 273,
        "itemType": "journalArticle",
        "title": "Dust emission size distribution impact on aerosol budget and radiative forcing over the Mediterranean region: a regional climate model approach",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "P.",
            "lastName": "Nabat"
          },
          {
            "creatorType": "author",
            "firstName": "F.",
            "lastName": "Solmon"
          },
          {
            "creatorType": "author",
            "firstName": "M.",
            "lastName": "Mallet"
          },
          {
            "creatorType": "author",
            "firstName": "J. F.",
            "lastName": "Kok"
          },
          {
            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Somot"
          }
        ],
        "abstractNote": "Abstract. The present study investigates the dust emission and load over the Mediterranean basin using the coupled chemistry–aerosol–regional climate model RegCM-4. The first step of this work focuses on dust particle emission size distribution modeling. We compare a parameterization in which the emission is based on the individual kinetic energy of the aggregates striking the surface to a recent parameterization based on an analogy with the fragmentation of brittle materials. The main difference between the two dust schemes concerns the mass proportion of fine aerosol that is reduced in the case of the new dust parameterization, with consequences for optical properties. At the episodic scale, comparisons between RegCM-4 simulations, satellite and ground-based data show a clear improvement using the new dust distribution in terms of aerosol optical depth (AOD) values and geographic gradients. These results are confirmed at the seasonal scale for the investigated year 2008. This change of dust distribution has sensitive impacts on the simulated regional dust budget, notably dry dust deposition and the regional direct aerosol radiative forcing over the Mediterranean basin. In particular, we find that the new size distribution produces a higher dust deposition flux, and smaller top of atmosphere (TOA) dust radiative cooling. A multi-annual simulation is finally carried out using the new dust distribution over the period 2000–2009. The average SW radiative forcing over the Mediterranean Sea reaches −13.6 W m−2 at the surface, and −5.5 W m−2 at TOA. The LW radiative forcing is positive over the basin: 1.7 W m−2 on average over the Mediterranean Sea at the surface, and 0.6 W m−2 at TOA.",
        "publicationTitle": "Atmospheric Chemistry and Physics",
        "publisher": "",
        "place": "",
        "date": "2012-11-12",
        "volume": "12",
        "issue": "21",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "10545-10567",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Atmos. Chem. Phys.",
        "DOI": "10.5194/acp-12-10545-2012",
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        "PMID": "",
        "PMCID": "",
        "ISSN": "1680-7324",
        "archive": "",
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        "shortTitle": "Dust emission size distribution impact on aerosol budget and radiative forcing over the Mediterranean region",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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        "rights": "https://creativecommons.org/licenses/by/3.0/",
        "extra": "",
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    },
    {
      "key": "5CL46RJW",
      "version": 272,
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        },
        "creatorSummary": "Albouy et al.",
        "parsedDate": "2013",
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      },
      "data": {
        "key": "5CL46RJW",
        "version": 272,
        "itemType": "journalArticle",
        "title": "Projected climate change and the changing biogeography of coastal Mediterranean fishes",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Camille",
            "lastName": "Albouy"
          },
          {
            "creatorType": "author",
            "firstName": "François",
            "lastName": "Guilhaumon"
          },
          {
            "creatorType": "author",
            "firstName": "Fabien",
            "lastName": "Leprieur"
          },
          {
            "creatorType": "author",
            "firstName": "Frida Ben Rais",
            "lastName": "Lasram"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Roland",
            "lastName": "Aznar"
          },
          {
            "creatorType": "author",
            "firstName": "Laure",
            "lastName": "Velez"
          },
          {
            "creatorType": "author",
            "firstName": "François",
            "lastName": "Le Loc'h"
          },
          {
            "creatorType": "author",
            "firstName": "David",
            "lastName": "Mouillot"
          },
          {
            "creatorType": "editor",
            "firstName": "Peter",
            "lastName": "Pearman"
          }
        ],
        "abstractNote": "Abstract \n             \n              Aim \n              To forecast the potential effects of climate change in the Mediterranean Sea on the species richness and mean body size of coastal fish assemblages. \n             \n             \n              Location \n              The Mediterranean Sea. \n             \n             \n              Methods \n               \n                Using an ensemble forecasting approach, we used species distribution modelling to project the potential distribution of 288 coastal fish species by the middle and end of the 21st century based on the \n                IPCC \n                A2 scenario implemented with the Mediterranean climatic model \n                NEMOMED \n                8. \n               \n             \n             \n              Results \n              A mean rise of 1.4 °C was projected for the Mediterranean Sea by the middle of the 21st century and 2.8 °C by the end of the 21st century. Projections for the end of the century suggest that: (1) 54 species are expected to lose their climatically suitable habitat, (2) species richness was predicted to decrease across 70.4% of the continental shelf area, especially in the western Mediterranean Sea and several parts of the Aegean Sea, and (3) mean fish body size would increase over 74.8% of the continental shelf area. Small‐bodied species that are not targeted by either commercial or recreational fleets presented, on average, the highest predicted decrease in geographic range size. \n             \n             \n              Main conclusions \n              Projected climate change in the Mediterranean Sea may have deleterious effects on coastal fish diversity, including a significant loss of climatically suitable habitat for endemic fish species. In addition, climate change may contribute to the loss of small and low trophic‐level fishes, which may have ecosystem‐wide impacts by reducing food supply to larger and higher trophic‐level species. Fishing pressure is already selectively removing large‐bodied species from marine ecosystems, and so fishing and climatic change might act in tandem to drive both direct and secondary extinctions.",
        "publicationTitle": "Journal of Biogeography",
        "publisher": "",
        "place": "",
        "date": "03/2013",
        "volume": "40",
        "issue": "3",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "534-547",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Journal of Biogeography",
        "DOI": "10.1111/jbi.12013",
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        "ISSN": "0305-0270, 1365-2699",
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        "shortTitle": "",
        "language": "en",
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        "dateAdded": "2025-08-12T15:39:43Z",
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        "date": "8/2013",
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        "pages": "937-960",
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            "firstName": "Costas G.",
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            "lastName": "Nastos"
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        "series": "Springer Atmospheric Sciences",
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        "ISBN": "978-3-642-29171-5 978-3-642-29172-2",
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        "title": "A 4-D climatology (1979–2009) of the monthly tropospheric aerosol optical depth distribution over the Mediterranean region from a comparative evaluation and blending of remote sensing and model products",
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            "firstName": "P.",
            "lastName": "Nabat"
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            "lastName": "Chiapello"
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            "lastName": "Morcrette"
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            "lastName": "Solmon"
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            "lastName": "Szopa"
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            "firstName": "F.",
            "lastName": "Dulac"
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            "firstName": "W.",
            "lastName": "Collins"
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            "firstName": "S.",
            "lastName": "Ghan"
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            "lastName": "Horowitz"
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            "lastName": "Lee"
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            "firstName": "V.",
            "lastName": "Naik"
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            "firstName": "T.",
            "lastName": "Nagashima"
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            "firstName": "D.",
            "lastName": "Shindell"
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            "firstName": "R.",
            "lastName": "Skeie"
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        "abstractNote": "Abstract. Since the 1980s several spaceborne sensors have been used to retrieve the aerosol optical depth (AOD) over the Mediterranean region. In parallel, AOD climatologies coming from different numerical model simulations are now also available, permitting to distinguish the contribution of several aerosol types to the total AOD. In this work, we perform a comparative analysis of this unique multi-year database in terms of total AOD and of its apportionment by the five main aerosol types (soil dust, sea-salt, sulfate, black and organic carbon). We use 9 different satellite-derived monthly AOD products: NOAA/AVHRR, SeaWiFS (2 products), TERRA/MISR, TERRA/MODIS, AQUA/MODIS, ENVISAT/MERIS, PARASOL/POLDER and MSG/SEVIRI, as well as 3 more historical datasets: NIMBUS7/CZCS, TOMS (onboard NIMBUS7 and Earth-Probe) and METEOSAT/MVIRI. Monthly model datasets include the aerosol climatology from Tegen et al. (1997), the climate-chemistry models LMDz-OR-INCA and RegCM-4, the multi-model mean coming from the ACCMIP exercise, and the reanalyses GEMS and MACC. Ground-based Level-2 AERONET AOD observations from 47 stations around the basin are used here to evaluate the model and satellite data. The sensor MODIS (on AQUA and TERRA) has the best average AOD scores over this region, showing a relevant spatio-temporal variability and highlighting high dust loads over Northern Africa and the sea (spring and summer), and sulfate aerosols over continental Europe (summer). The comparison also shows limitations of certain datasets (especially MERIS and SeaWiFS standard products). Models reproduce the main patterns of the AOD variability over the basin. The MACC reanalysis is the closest to AERONET data, but appears to underestimate dust over Northern Africa, where RegCM-4 is found closer to MODIS thanks to its interactive scheme for dust emissions. The vertical dimension is also investigated using the CALIOP instrument. This study confirms differences of vertical distribution between dust aerosols showing a large vertical spread, and other continental and marine aerosols which are confined in the boundary layer. From this compilation, we propose a 4-D blended product from model and satellite data, consisting in monthly time series of 3-D aerosol distribution at a 50 km horizontal resolution over the Euro-Mediterranean marine and continental region for the 2003–2009 period. The product is based on the total AOD from AQUA/MODIS, apportioned into sulfates, black and organic carbon from the MACC reanalysis, and into dust and sea-salt aerosols from RegCM-4 simulations, which are distributed vertically based on CALIOP climatology. We extend the 2003–2009 reconstruction to the past up to 1979 using the 2003–2009 average and applying the decreasing trend in sulfate aerosols from LMDz-OR-INCA, whose AOD trends over Europe and the Mediterranean are median among the ACCMIP models. Finally optical properties of the different aerosol types in this region are proposed from Mie calculations so that this reconstruction can be included in regional climate models for aerosol radiative forcing and aerosol-climate studies.",
        "publicationTitle": "Atmospheric Measurement Techniques",
        "publisher": "",
        "place": "",
        "date": "2013-05-17",
        "volume": "6",
        "issue": "5",
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        "partNumber": "",
        "partTitle": "",
        "pages": "1287-1314",
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        "journalAbbreviation": "Atmos. Meas. Tech.",
        "DOI": "10.5194/amt-6-1287-2013",
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        "ISSN": "1867-8548",
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        "language": "en",
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        "title": "High-resolution Med-CORDEX regional climate model simulations for hydrological impact studies: a first evaluation of the ALADIN-Climate model in Morocco",
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          {
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            "firstName": "Y.",
            "lastName": "Tramblay"
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            "firstName": "D.",
            "lastName": "Ruelland"
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            "firstName": "S.",
            "lastName": "Somot"
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            "firstName": "R.",
            "lastName": "Bouaicha"
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            "firstName": "E.",
            "lastName": "Servat"
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        "abstractNote": "Abstract. In the framework of the international CORDEX program, new regional climate model (RCM) simulations at high spatial resolutions are becoming available for the Mediterranean region (Med-CORDEX initiative). This study provides the first evaluation for hydrological impact studies of one of these high-resolution simulations in a 1800 km2 catchment located in North Morocco. Different approaches are compared to analyze the climate change impacts on the hydrology of this catchment using a high-resolution RCM (ALADIN-Climate) from the Med-CORDEX initiative at two different spatial resolutions (50 and 12 km) and for two different Radiative Concentration Pathway scenarios (RCP4.5 and RCP8.5). The main issues addressed in the present study are: (i) what is the impact of increased RCM resolution on present-climate hydrological simulations and on future projections? (ii) Are the bias-correction of the RCM model and the parameters of the hydrological model stationary and transferable to different climatic conditions? (iii) What is the climate and hydrological change signal based on the new Radiative Concentration Pathways scenarios (RCP4.5 and RCP8.5)? Results indicate that high resolution simulations at 12 km better reproduce the seasonal patterns, the seasonal distributions and the extreme events of precipitation. The parameters of the hydrological model, calibrated to reproduce runoff at the monthly time step over the 1984–2010 period, do not show a strong variability between dry and wet calibration periods in a differential split-sample test. However the bias correction of precipitation by quantile-matching does not give satisfactory results in validation using the same differential split-sample testing method. Therefore a quantile-perturbation method that does not rely on any stationarity assumption and produces ensembles of perturbed series of precipitation was introduced. The climate change signal under scenarios 4.5 and 8.5 indicates a decrease of respectively −30 to −57% in surface runoff for the mid-term (2041–2062), when for the same period the projections for precipitation are ranging between −15 and −19% and for temperature between +1.3 and +1.9 °C.",
        "publicationTitle": "Hydrology and Earth System Sciences",
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        "place": "",
        "date": "2013-10-02",
        "volume": "17",
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        "pages": "3721-3739",
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        "PMCID": "",
        "ISSN": "1607-7938",
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        "shortTitle": "High-resolution Med-CORDEX regional climate model simulations for hydrological impact studies",
        "language": "en",
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            "firstName": "Lara",
            "lastName": "Lamon"
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            "lastName": "Li"
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        "publicationTitle": "Regional Environmental Change",
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        "place": "",
        "date": "2/2014",
        "volume": "14",
        "issue": "S1",
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        "pages": "31-40",
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        "journalAbbreviation": "Reg Environ Change",
        "DOI": "10.1007/s10113-013-0430-x",
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        "date": "05/2014",
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            "firstName": "Tarek",
            "lastName": "Hattab"
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            "lastName": "Lasram"
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            "firstName": "Samuel",
            "lastName": "Somot"
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            "firstName": "François",
            "lastName": "Le Loc'h"
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            "firstName": "Fabien",
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          }
        ],
        "abstractNote": "Abstract \n             \n              Aim \n              In this paper, we applied the concept of ‘hierarchical filters’ in community ecology to model marine species distribution at nested spatial scales. \n             \n             \n              Location \n               \n                Global, \n                M \n                editerranean \n                S \n                ea and the \n                G \n                ulf of \n                G \n                abes ( \n                T \n                unisia). \n               \n             \n             \n              Methods \n               \n                We combined the predictions of bioclimatic envelope models ( \n                BEMs \n                ) and habitat models to assess the current distribution of 20 exploited marine species in the \n                G \n                ulf of \n                G \n                abes. \n                BEMs \n                were first built at a global extent to account for the full range of climatic conditions encountered by a given species. Habitat models were then built using fine‐grained habitat variables at the scale of the \n                G \n                ulf of \n                G \n                abes. We also used this hierarchical filtering approach to project the future distribution of these species under both climate change (the \n                A \n                2 scenario implemented with the \n                M \n                editerranean climatic model \n                NEMOMED \n                8) and habitat loss (the loss of \n                 \n                  P \n                  osidonia oceanica \n                 \n                meadows) scenarios. \n               \n             \n             \n              Results \n               \n                The hierarchical filtering approach predicted current species geographical ranges to be on average 56% smaller than those predicted using the \n                BEMs \n                alone. This pattern was also observed under the climate change scenario. Combining the habitat loss and climate change scenarios indicated that the magnitude of range shifts due to climate change was larger than from the loss of \n                 \n                  P \n                  . oceanica \n                 \n                meadows. \n               \n             \n             \n              Main conclusions \n               \n                Our findings emphasize that \n                BEMs \n                may overestimate current and future ranges of marine species if species–habitat relationships are not also considered. A hierarchical filtering approach that accounts for fine‐grained habitat variables limits the uncertainty associated with model‐based recommendations, thus ensuring their outputs remain applicable within the context of marine resource management.",
        "publicationTitle": "Global Ecology and Biogeography",
        "publisher": "",
        "place": "",
        "date": "12/2014",
        "volume": "23",
        "issue": "12",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "1417-1429",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Global Ecology and Biogeography",
        "DOI": "10.1111/geb.12217",
        "citationKey": "",
        "url": "https://onlinelibrary.wiley.com/doi/10.1111/geb.12217",
        "accessDate": "2025-08-12T15:36:49Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "1466-822X, 1466-8238",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Towards a better understanding of potential impacts of climate change on marine species distribution",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "http://onlinelibrary.wiley.com/termsAndConditions#vor",
        "extra": "",
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        "dateAdded": "2025-08-12T15:36:50Z",
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    },
    {
      "key": "6LTYHCB9",
      "version": 261,
      "library": {
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        },
        "creatorSummary": "Nabat et al.",
        "parsedDate": "2014-08-16",
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      "data": {
        "key": "6LTYHCB9",
        "version": 261,
        "itemType": "journalArticle",
        "title": "Contribution of anthropogenic sulfate aerosols to the changing Euro‐Mediterranean climate since 1980",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Pierre",
            "lastName": "Nabat"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Marc",
            "lastName": "Mallet"
          },
          {
            "creatorType": "author",
            "firstName": "Arturo",
            "lastName": "Sanchez‐Lorenzo"
          },
          {
            "creatorType": "author",
            "firstName": "Martin",
            "lastName": "Wild"
          }
        ],
        "abstractNote": "Abstract \n            Since the 1980s anthropogenic aerosols have been considerably reduced in Europe and the Mediterranean area. This decrease is often considered as the likely cause of the brightening effect observed over the same period. This phenomenon is however hardly reproduced by global and regional climate models. Here we use an original approach based on reanalysis‐driven coupled regional climate system modeling to show that aerosol changes explain 81 ± 16% of the brightening and 23 ± 5% of the surface warming simulated for the period 1980–2012 over Europe. The direct aerosol effect is found to dominate in the magnitude of the simulated brightening. The comparison between regional simulations and homogenized ground‐based observations reveals that observed surface solar radiation and land and sea surface temperature spatiotemporal variations over the Euro‐Mediterranean region are only reproduced when simulations include the realistic aerosol variations. \n          ,  \n            Key Points \n             \n               \n                 \n                  A regional climate system model over the Euro‐Mediterranean includes aerosols \n                 \n                 \n                  Aerosol changes are needed to reproduce observed climate trends since 1980 \n                 \n                 \n                  Aerosols play an essential role in the brightening and warming since 1980",
        "publicationTitle": "Geophysical Research Letters",
        "publisher": "",
        "place": "",
        "date": "2014-08-16",
        "volume": "41",
        "issue": "15",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "5605-5611",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Geophysical Research Letters",
        "DOI": "10.1002/2014GL060798",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1002/2014GL060798",
        "accessDate": "2025-08-12T15:36:41Z",
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        "PMCID": "",
        "ISSN": "0094-8276, 1944-8007",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "http://creativecommons.org/licenses/by-nc-nd/3.0/",
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        "dateAdded": "2025-08-12T15:36:42Z",
        "dateModified": "2025-08-12T15:36:42Z"
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      "version": 260,
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        "creatorSummary": "Sevault et al.",
        "parsedDate": "2014-12-01",
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      "data": {
        "key": "ZUBNCNTP",
        "version": 260,
        "itemType": "journalArticle",
        "title": "A fully coupled Mediterranean regional climate system model: design and evaluation of the ocean component for the 1980–2012 period",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Florence",
            "lastName": "Sevault"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Antoinette",
            "lastName": "Alias"
          },
          {
            "creatorType": "author",
            "firstName": "Clotilde",
            "lastName": "Dubois"
          },
          {
            "creatorType": "author",
            "firstName": "Cindy",
            "lastName": "Lebeaupin-Brossier"
          },
          {
            "creatorType": "author",
            "firstName": "Pierre",
            "lastName": "Nabat"
          },
          {
            "creatorType": "author",
            "firstName": "Fanny",
            "lastName": "Adloff"
          },
          {
            "creatorType": "author",
            "firstName": "Michel",
            "lastName": "Déqué"
          },
          {
            "creatorType": "author",
            "firstName": "Bertrand",
            "lastName": "Decharme"
          }
        ],
        "abstractNote": "A fully coupled regional climate system model (CNRM-RCSM4) dedicated to the Mediterranean region is described and evaluated using a multidecadal hindcast simulation (1980–2012) driven by global atmosphere and ocean reanalysis. CNRM-RCSM4 includes the regional representation of the atmosphere (ALADIN-Climate model), land surface (ISBA model), rivers (TRIP model) and the ocean (NEMOMED8 model), with a daily coupling by the OASIS coupler. This model aims to reproduce the regional climate system with as few constraints as possible: there is no surface salinity, temperature relaxation, or flux correction; the Black Sea budget is parameterised and river runoffs (except for the Nile) are fully coupled. The atmospheric component of CNRM-RCSM4 is evaluated in a companion paper; here, we focus on the air–sea fluxes, river discharges, surface ocean characteristics, deep water formation phenomena and the Mediterranean thermohaline circulation. Long-term stability, mean seasonal cycle, interannual variability and decadal trends are evaluated using basin-scale climatologies and in-situ measurements when available. We demonstrate that the simulation shows overall good behaviour in agreement with state-of-the-art Mediterranean RCSMs. An overestimation of the shortwave radiation and latent heat loss as well as a cold Sea Surface Temperature (SST) bias and a slight trend in the bottom layers are the primary current deficiencies. Further, CNRM-RCSM4 shows high skill in reproducing the interannual to decadal variability for air–sea fluxes, river runoffs, sea surface temperature and salinity as well as open-sea deep convection, including a realistic simulation of the Eastern Mediterranean Transient. We conclude that CNRM-RCSM4 is a mature modelling tool allowing the climate variability of the Mediterranean regional climate system to be studied and understood. It is used in hindcast and scenario modes in the HyMeX and Med-CORDEX programs.",
        "publicationTitle": "Tellus A: Dynamic Meteorology and Oceanography",
        "publisher": "",
        "place": "",
        "date": "2014-12-01T00:45:10+00:00",
        "volume": "66",
        "issue": "1",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "",
        "DOI": "10.3402/tellusa.v66.23967",
        "citationKey": "",
        "url": "https://a.tellusjournals.se/articles/10.3402/tellusa.v66.23967",
        "accessDate": "2025-08-12T15:36:29Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "1600-0870",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "A fully coupled Mediterranean regional climate system model",
        "language": "en-US",
        "libraryCatalog": "a.tellusjournals.se",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [],
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        ],
        "relations": {},
        "dateAdded": "2025-08-12T15:36:32Z",
        "dateModified": "2025-08-12T15:36:32Z"
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    },
    {
      "key": "C5F23UPW",
      "version": 258,
      "library": {
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        },
        "creatorSummary": "Andrello et al.",
        "parsedDate": "2015",
        "numChildren": 0
      },
      "data": {
        "key": "C5F23UPW",
        "version": 258,
        "itemType": "journalArticle",
        "title": "Additive effects of climate change on connectivity between marine protected areas and larval supply to fished areas",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Marco",
            "lastName": "Andrello"
          },
          {
            "creatorType": "author",
            "firstName": "David",
            "lastName": "Mouillot"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Wilfried",
            "lastName": "Thuiller"
          },
          {
            "creatorType": "author",
            "firstName": "Stéphanie",
            "lastName": "Manel"
          },
          {
            "creatorType": "editor",
            "firstName": "Michael",
            "lastName": "Bode"
          }
        ],
        "abstractNote": "Abstract \n             \n              Aim \n               \n                To study the combined effects of climate change on connectivity between marine protected areas ( \n                MPA \n                s) and larval supply to the continental shelf. \n               \n             \n             \n              Location \n               \n                The Mediterranean Sea, where sea surface temperatures are expected to strongly increase by the end of the 21st century, represents an archetypal situation with a dense \n                MPA \n                network but resource overexploitation outside. \n               \n             \n             \n              Methods \n               \n                Using an individual‐based mechanistic model of larval transport, forced with an emission‐driven regional climate change scenario for the Mediterranean Sea, we explored the combined effects of changes in hydrodynamics, adult reproductive timing and larval dispersal on the connectivity among \n                MPA \n                s and their ability to seed fished areas with larvae. \n               \n             \n             \n              Results \n               \n                We show that, over the period 1970–2099, larval dispersal distances would decrease by 10%, the continental shelf area seeded with larvae would decrease by 3% and the larval retention fraction would increase by 5%, resulting in higher concentration of larvae in smaller areas of the continental shelf. However, connectance within the \n                MPA \n                network would increase by 5% as more northern \n                MPA \n                s would become suitable for reproduction with increasing temperatures. We also show that the effects of changes in adult reproductive timing and larval dispersal on connectivity patterns are additive. \n               \n             \n             \n              Main conclusions \n               \n                Climate change will influence connectivity and the effectiveness of \n                MPA \n                networks, and should receive more attention in future conservation planning and large‐scale population dynamics.",
        "publicationTitle": "Diversity and Distributions",
        "publisher": "",
        "place": "",
        "date": "02/2015",
        "volume": "21",
        "issue": "2",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "139-150",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Diversity and Distributions",
        "DOI": "10.1111/ddi.12250",
        "citationKey": "",
        "url": "https://onlinelibrary.wiley.com/doi/10.1111/ddi.12250",
        "accessDate": "2025-08-12T15:35:48Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "1366-9516, 1472-4642",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "http://onlinelibrary.wiley.com/termsAndConditions#vor",
        "extra": "",
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        ],
        "relations": {},
        "dateAdded": "2025-08-12T15:35:49Z",
        "dateModified": "2025-08-12T15:35:49Z"
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    },
    {
      "key": "LV48EALV",
      "version": 257,
      "library": {
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        "name": "WCRP-CORDEX",
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          }
        },
        "creatorSummary": "Soto-Navarro et al.",
        "parsedDate": "2015",
        "numChildren": 0
      },
      "data": {
        "key": "LV48EALV",
        "version": 257,
        "itemType": "journalArticle",
        "title": "Evaluation of regional ocean circulation models for the Mediterranean Sea at the Strait of Gibraltar: volume transport and thermohaline properties of the outflow",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Javier",
            "lastName": "Soto-Navarro"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Florence",
            "lastName": "Sevault"
          },
          {
            "creatorType": "author",
            "firstName": "Jonathan",
            "lastName": "Beuvier"
          },
          {
            "creatorType": "author",
            "firstName": "Francisco",
            "lastName": "Criado-Aldeanueva"
          },
          {
            "creatorType": "author",
            "firstName": "Jesús",
            "lastName": "García-Lafuente"
          },
          {
            "creatorType": "author",
            "firstName": "Karine",
            "lastName": "Béranger"
          }
        ],
        "abstractNote": "",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "3/2015",
        "volume": "44",
        "issue": "5-6",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "1277-1292",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-014-2179-4",
        "citationKey": "",
        "url": "http://link.springer.com/10.1007/s00382-014-2179-4",
        "accessDate": "2025-08-12T15:35:40Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "0930-7575, 1432-0894",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Evaluation of regional ocean circulation models for the Mediterranean Sea at the Strait of Gibraltar",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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        "rights": "",
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        ],
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        "dateAdded": "2025-08-12T15:35:41Z",
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    },
    {
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      "version": 256,
      "library": {
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      },
      "meta": {
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          }
        },
        "creatorSummary": "Palmiéri et al.",
        "parsedDate": "2015-02-10",
        "numChildren": 0
      },
      "data": {
        "key": "YT5NFW2T",
        "version": 256,
        "itemType": "journalArticle",
        "title": "Simulated anthropogenic CO<sub>2</sub> storage and acidification of the Mediterranean Sea",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "J.",
            "lastName": "Palmiéri"
          },
          {
            "creatorType": "author",
            "firstName": "J. C.",
            "lastName": "Orr"
          },
          {
            "creatorType": "author",
            "firstName": "J.-C.",
            "lastName": "Dutay"
          },
          {
            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Béranger"
          },
          {
            "creatorType": "author",
            "firstName": "A.",
            "lastName": "Schneider"
          },
          {
            "creatorType": "author",
            "firstName": "J.",
            "lastName": "Beuvier"
          },
          {
            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Somot"
          }
        ],
        "abstractNote": "Abstract. Constraints on the Mediterranean Sea's storage of anthropogenic CO2 are limited, coming only from data-based approaches that disagree by more than a factor of two. Here we simulate this marginal sea's anthropogenic carbon storage by applying a perturbation approach in a high-resolution regional model. Our model simulates that, between 1800 and 2001, basin-wide CO2 storage by the Mediterranean Sea has increased by 1.0 Pg C, a lower limit based on the model's weak deep-water ventilation, as revealed by evaluation with CFC-12. Furthermore, by testing a data-based approach (transit time distribution) in our model, comparing simulated anthropogenic CO2 to values computed from simulated CFC-12 and physical variables, we conclude that the associated basin-wide storage of 1.7 Pg, published previously, must be an upper bound. Out of the total simulated storage of 1.0 Pg C, 75% comes from the air–sea flux into the Mediterranean Sea and 25% comes from net transport from the Atlantic across the Strait of Gibraltar. Sensitivity tests indicate that the Mediterranean Sea's higher total alkalinity, relative to the global-ocean mean, enhances the Mediterranean's total inventory of anthropogenic carbon by 10%. Yet the corresponding average anthropogenic change in surface pH does not differ significantly from the global-ocean average, despite higher total alkalinity. In Mediterranean deep waters, the pH change is estimated to be between −0.005 and −0.06 pH units.",
        "publicationTitle": "Biogeosciences",
        "publisher": "",
        "place": "",
        "date": "2015-02-10",
        "volume": "12",
        "issue": "3",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "781-802",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Biogeosciences",
        "DOI": "10.5194/bg-12-781-2015",
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        "title": "Dust aerosol radiative effects during summer 2012 simulated with a coupled regional aerosol–atmosphere–ocean model over the Mediterranean",
        "creators": [
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            "firstName": "P.",
            "lastName": "Nabat"
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            "lastName": "Driouech"
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            "firstName": "D.",
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        "abstractNote": "Abstract. The present study investigates the radiative effects of dust aerosols in the Mediterranean region during summer 2012 using a coupled regional aerosol–atmosphere–ocean model (CNRM-RCSM5). A prognostic aerosol scheme, including desert dust, sea salt, organic, black-carbon and sulphate particles, has been integrated to CNRM-RCSM5 in addition to the atmosphere, land surface and ocean components. An evaluation of this aerosol scheme of CNRM-RCSM5, and especially of the dust aerosols, has been performed against in situ and satellite measurements, showing its ability to reproduce the spatial and temporal variability of aerosol optical depth (AOD) over the Mediterranean region in summer 2012. The dust vertical and size distributions have also been evaluated against observations from the TRAQA/ChArMEx campaign. Three simulations have been carried out for summer 2012 with CNRM-RCSM5, including the full prognostic aerosol scheme, only monthly-averaged AOD means from the aerosol scheme or no aerosols at all, in order to focus on the radiative effects of dust particles and the role of the prognostic scheme. Surface short-wave aerosol radiative forcing variability is found to be more than twice as high over regions affected by dust aerosols, when using a prognostic aerosol scheme instead of monthly AOD means. In this case downward surface solar radiation is also found to be better reproduced according to a comparison with several stations across the Mediterranean. A composite study over 14 stations across the Mediterranean, designed to identify days with high dust AOD, also reveals the improvement of the representation of surface temperature brought by the use of the prognostic aerosol scheme. Indeed the surface receives less radiation during dusty days, but only the simulation using the prognostic aerosol scheme is found to reproduce the observed intensity of the dimming and warming on dusty days. Moreover, the radiation and temperature averages over summer 2012 are also modified by the use of prognostic aerosols, mainly because of the differences brought in short-wave aerosol radiative forcing variability. Therefore this first comparison over summer 2012 highlights the importance of the choice of the representation of aerosols in climate models.",
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        "publisher": "",
        "place": "",
        "date": "2015-03-24",
        "volume": "15",
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        "pages": "3303-3326",
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        "title": "FishMed: traits, phylogeny, current and projected species distribution of Mediterranean fishes, and environmental data: Ecological Archives E096-203",
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            "firstName": "Camille",
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            "firstName": "Frida Ben Rais",
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            "firstName": "Christine N.",
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            "lastName": "Benestan"
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            "firstName": "Nicolas",
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            "firstName": "David",
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        "abstractNote": "The FishMed database provides traits, phylogeny, current and projected species distribution of Mediterranean fishes, and associated sea surface temperature (SST) from the regional oceanic model NEMOMED8. Data for the current geographical distributions of 635 Mediterranean fish species were compiled from a published expert knowledge atlas of fishes of the northern Atlantic and the Mediterranean (FNAM) edited between 1984 and 1986 and from an updated exotic fish species list. Two future sets of projected species distributions were obtained for the middle and end of the 21st century by using an ensemble forecasting approach for 288 coastal Mediterranean fish species based on SST according to the IPPC/SRES A2 scenario implemented with the Mediterranean climatic model NEMOMED8. The functional part of the database encompasses 12 biological and ecological traits (maximal and common lengths, vertical distribution, habitat, migration type, mode of reproduction, sex shift, semelparity, diet type (larvae and adults), social behavior, species origin, and depth) for the 635 fish species. To build the phylogeny we inferred the timing and geographic origins of Mediterranean teleost species diversity using nucleotide sequences collected from GenBank including 62% of Mediterranean teleost species plus nine outgroups. Maximum likelihood Bayesian phylogenetic and dating analyses were calibrated using 20 fossil species. An additional 124 fish species were grafted onto the chronogram according to their taxonomic affinity to obtain a phylogenetic tree including 498 species. Finally we also present the associated SST data for the observed period (1961–1980) and for the middle (2040–2059) and the end of the 21st century (2080–2099) obtained from NEMOMED8 according to the IPCC A2 scenario. The FishMed database might be of interest in the context of global anthropogenic changes as coastal Mediterranean ecosystems are currently recognized as one of the most impacted ecosystems on earth.",
        "publicationTitle": "Ecology",
        "publisher": "",
        "place": "",
        "date": "08/2015",
        "volume": "96",
        "issue": "8",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "2312-2313",
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        "journalAbbreviation": "Ecology",
        "DOI": "10.1890/14-2279.1",
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        "ISSN": "0012-9658, 1939-9170",
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        "shortTitle": "FishMed",
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        "title": "Influence of submonthly air–sea coupling on heavy precipitation events in the Western Mediterranean basin",
        "creators": [
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            "firstName": "Ségolène",
            "lastName": "Berthou"
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            "firstName": "Philippe",
            "lastName": "Drobinski"
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            "firstName": "Thomas",
            "lastName": "Arsouze"
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            "firstName": "Sophie",
            "lastName": "Bastin"
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            "firstName": "Karine",
            "lastName": "Béranger"
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            "firstName": "Emmanouil",
            "lastName": "Flaounas"
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            "firstName": "Cindy",
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            "lastName": "Stéfanon"
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        "abstractNote": "Heavy precipitation events (HPEs) can be a major cause of damage and casualties in the Mediterranean basin. With the use of atmosphere–ocean coupled regional climate models (AORCMs) and the advantage of 24 years of simulation (1989–2012), we identified regions with potential impact of submonthly air–sea coupling on HPEs from among the regions hit by heavy rain during the Hydrological Cycle in the Mediterranean Experiment (HyMeX) first special observation period (SOP1): Valencia in Spain, the Cévennes in Southern France, Liguria in Northwestern Italy, Calabria in Southern Italy and Northeastern Italy. A first evaluation of the two AORCMs (MORCE and CNRM–RCSM4) against gridded precipitation datasets showed that 70–90% of the 30 most intense HPEs simulated were observed HPEs for most regions. The Cévennes, Valencia and Calabria were the only three regions to show a statistical relationship between rain differences and sea‐surface temperature (SST) differences where the low‐level jets that feed the events most frequently blow. This sensitivity of precipitation to SST changes is due to low‐level wind changes related to changes in surface heat fluxes. Based on the calculation of submonthly variations in these regions during HyMeX, HPEs on 28 September 2012 and 12 October 2012 in Valencia and on 25–26 October 2012 in the Cévennes have most probably been affected by submonthly air–sea coupling.",
        "publicationTitle": "Quarterly Journal of the Royal Meteorological Society",
        "publisher": "",
        "place": "",
        "date": "08/2016",
        "volume": "142",
        "issue": "S1",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "453-471",
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        "journalAbbreviation": "Quart J Royal Meteoro Soc",
        "DOI": "10.1002/qj.2717",
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        "title": "Design and validation of MEDRYS, a Mediterranean Sea reanalysis over the period 1992–2013",
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        "abstractNote": "Abstract. The French research community in the Mediterranean Sea modeling and the French operational ocean forecasting center Mercator Océan have gathered their skill and expertise in physical oceanography, ocean modeling, atmospheric forcings and data assimilation to carry out a MEDiterranean sea ReanalYsiS (MEDRYS) at high resolution for the period 1992–2013. The ocean model used is NEMOMED12, a Mediterranean configuration of NEMO with a 1∕12° ( ∼  7 km) horizontal resolution and 75 vertical z levels with partial steps. At the surface, it is forced by a new atmospheric-forcing data set (ALDERA), coming from a dynamical downscaling of the ERA-Interim atmospheric reanalysis by the regional climate model ALADIN-Climate with a 12 km horizontal and 3 h temporal resolutions. This configuration is used to carry a 34-year hindcast simulation over the period 1979–2013 (NM12-FREE), which is the initial state of the reanalysis in October 1992. MEDRYS uses the existing Mercator Océan data assimilation system SAM2 that is based on a reduced-order Kalman filter with a three-dimensional (3-D) multivariate modal decomposition of the forecast error. Altimeter data, satellite sea surface temperature (SST) and temperature and salinity vertical profiles are jointly assimilated. This paper describes the configuration we used to perform MEDRYS. We then validate the skills of the data assimilation system. It is shown that the data assimilation restores a good average temperature and salinity at intermediate layers compared to the hindcast. No particular biases are identified in the bottom layers. However, the reanalysis shows slight positive biases of 0.02 psu and 0.15 °C above 150 m depth. In the validation stage, it is also shown that the assimilation allows one to better reproduce water, heat and salt transports through the Strait of Gibraltar. Finally, the ability of the reanalysis to represent the sea surface high-frequency variability is shown.",
        "publicationTitle": "Ocean Science",
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        "pages": "577-599",
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        "version": 248,
        "itemType": "journalArticle",
        "title": "Estimating dense water volume and its evolution for the year 2012–2013 in the <span style=\"font-variant:small-caps;\">N</span> orthwestern <span style=\"font-variant:small-caps;\">M</span> editerranean <span style=\"font-variant:small-caps;\">S</span> ea: An observing system simulation experiment approach",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Robin",
            "lastName": "Waldman"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
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          {
            "creatorType": "author",
            "firstName": "Marine",
            "lastName": "Herrmann"
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            "creatorType": "author",
            "firstName": "Pierre",
            "lastName": "Testor"
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          {
            "creatorType": "author",
            "firstName": "Claude",
            "lastName": "Estournel"
          },
          {
            "creatorType": "author",
            "firstName": "Florence",
            "lastName": "Sevault"
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            "creatorType": "author",
            "firstName": "Louis",
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            "firstName": "Laurent",
            "lastName": "Mortier"
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            "firstName": "Laurent",
            "lastName": "Coppola"
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            "firstName": "Vincent",
            "lastName": "Taillandier"
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            "lastName": "Conan"
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            "firstName": "Denis",
            "lastName": "Dausse"
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        ],
        "abstractNote": "Abstract \n             \n              The Northwestern Mediterranean (NWMed) Sea includes one of the best observed ocean deep convection sites in the World. An observing system simulation experiment (OSSE) is developed to provide a methodology for estimating observing network errors. It is applied to quantify dense water volumes in the NWMed during 2012–2013 with their observation error from MOOSE network. Results from the OSSE show low spatiotemporal sampling errors, which confirms MOOSE network ability to measure dense waters. However, results are highly sensitive to instrumental stability. The dense water volume is then estimated in observations from four ship cruises between summers 2012 and 2013. A large seasonal cycle is found, maximal in spring 2013 and dominated by the area west of 6.5°E. The dense water volume ( \n               \n              ) is stable between summer 2012 ( \n               \n              ) and winter 2013 ( \n               \n              ). It increases dramatically in spring 2013 ( \n               \n              ) due to an intense convective event, and it finally decreases rapidly in summer 2013 ( \n               \n              ) due to restratification and spreading. We estimate an open‐sea dense water formation (DWF) rate of \n               \n              between summer 2012 and spring 2013 over the studied area, extrapolated to \n               \n              over the whole NWMed Sea and for the optimal timing. This is to our knowledge the highest measured DWF rate, suggesting winter 2013 was exceptionally convective. The observed restratification rate between spring and summer 2013 is \n               \n              . This study provides robust quantifications of deep convection during an exceptional event that will allow to evaluate numerical simulations. \n             \n          ,  \n            Key Points \n             \n               \n                 \n                  MOOSE observing network is able to estimate convection with high accuracy \n                 \n                 \n                  2012–2013 was an exceptional dense water formation and restratification year \n                 \n                 \n                  Dense water volume is maximum in spring 2013 and he west of the basin dominates its evolution",
        "publicationTitle": "Journal of Geophysical Research: Oceans",
        "publisher": "",
        "place": "",
        "date": "09/2016",
        "volume": "121",
        "issue": "9",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "6696-6716",
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        "seriesTitle": "",
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        "journalAbbreviation": "JGR Oceans",
        "DOI": "10.1002/2016JC011694",
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        "title": "Modeling the intense 2012-2013 dense water formation event in the northwestern Mediterranean Sea: Evaluation with an ensemble simulation approach: MODELING THE 2012-2013 DWF EVENT",
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            "firstName": "Robin",
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            "creatorType": "author",
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        "abstractNote": "",
        "publicationTitle": "Journal of Geophysical Research: Oceans",
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        "date": "02/2017",
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        "pages": "1297-1324",
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      "data": {
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        "version": 246,
        "itemType": "journalArticle",
        "title": "Impact of the Mesoscale Dynamics on Ocean Deep Convection: The 2012–2013 Case Study in the Northwestern Mediterranean Sea",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Robin",
            "lastName": "Waldman"
          },
          {
            "creatorType": "author",
            "firstName": "Marine",
            "lastName": "Herrmann"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Thomas",
            "lastName": "Arsouze"
          },
          {
            "creatorType": "author",
            "firstName": "Rachid",
            "lastName": "Benshila"
          },
          {
            "creatorType": "author",
            "firstName": "Anthony",
            "lastName": "Bosse"
          },
          {
            "creatorType": "author",
            "firstName": "Jerome",
            "lastName": "Chanut"
          },
          {
            "creatorType": "author",
            "firstName": "Herve",
            "lastName": "Giordani"
          },
          {
            "creatorType": "author",
            "firstName": "Florence",
            "lastName": "Sevault"
          },
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            "creatorType": "author",
            "firstName": "Pierre",
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        ],
        "abstractNote": "Abstract \n             \n              Winter 2012–2013 was a particularly intense and well‐observed Dense Water Formation (DWF) event in the Northwestern Mediterranean Sea. In this study, we investigate the impact of the mesoscale dynamics on DWF. We perform two perturbed initial state simulation ensembles from summer 2012 to 2013, respectively, mesoscale‐permitting and mesoscale‐resolving, with the AGRIF refinement tool in the Mediterranean configuration NEMOMED12. The mean impact of the mesoscale on DWF occurs mainly through the high‐resolution physics and not the high‐resolution bathymetry. This impact is shown to be modest: the mesoscale does not modify the chronology of the deep convective winter nor the volume of dense waters formed. It however impacts the location of the mixed patch by reducing its extent to the west of the North Balearic Front and by increasing it along the Northern Current, in better agreement with observations. The maximum mixed patch volume is significantly reduced from 5.7 ± 0.2 to 4.2 ± 0.6 × 10 \n              13 \n              m \n              3 \n              . Finally, the spring restratification volume is more realistic and enhanced from 1.4 ± 0.2 to 1.8 ± 0.2 × 10 \n              13 \n              m \n              3 \n              by the mesoscale. We also address the mesoscale impact on the ocean intrinsic variability by performing perturbed initial state ensemble simulations. The mesoscale enhances the intrinsic variability of the deep convection geography, with most of the mixed patch area impacted by intrinsic variability. The DWF volume has a low intrinsic variability but it is increased by 2–3 times with the mesoscale. We relate it to a dramatic increase of the Gulf of Lions eddy kinetic energy from 5.0 ± 0.6 to 17.3 ± 1.5 cm \n              2 \n              /s \n              2 \n              , in remarkable agreement with observations. \n             \n          ,  \n            Key Points \n             \n               \n                 \n                  Resolving mesoscale enhances deep convection along the Northern Current and reduces it along the North Balearic Front, improving its realism \n                 \n                 \n                  Mesoscale dynamics enhances the spring restratification rate, in better agreement with observations \n                 \n                 \n                  Mesoscale dynamics largely increases eddy kinetic energy and its realism, which activates the deep convection intrinsic variability",
        "publicationTitle": "Journal of Geophysical Research: Oceans",
        "publisher": "",
        "place": "",
        "date": "11/2017",
        "volume": "122",
        "issue": "11",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "8813-8840",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "JGR Oceans",
        "DOI": "10.1002/2016JC012587",
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        "shortTitle": "Impact of the Mesoscale Dynamics on Ocean Deep Convection",
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      "data": {
        "key": "6L7C9W3H",
        "version": 244,
        "itemType": "journalArticle",
        "title": "Overturning the Mediterranean Thermohaline Circulation",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Robin",
            "lastName": "Waldman"
          },
          {
            "creatorType": "author",
            "firstName": "Nils",
            "lastName": "Brüggemann"
          },
          {
            "creatorType": "author",
            "firstName": "Anthony",
            "lastName": "Bosse"
          },
          {
            "creatorType": "author",
            "firstName": "Michael",
            "lastName": "Spall"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Florence",
            "lastName": "Sevault"
          }
        ],
        "abstractNote": "Abstract \n             \n              For more than five decades, the Mediterranean Sea has been identified as a region of so‐called thermohaline circulation, namely, of basin‐scale overturning driven by surface heat and freshwater exchanges. The commonly accepted view is that of an interaction of zonal and meridional \n              conveyor belts \n              that sink at intermediate or deep convection sites. However, the connection between convection and sinking in the overturning circulation remains unclear. Here we use a multidecadal eddy‐permitting numerical simulation and glider transport measurements to diagnose the location and physical drivers of this sinking. We find that most of the net sinking occurs within 50 km of the boundary, away from open sea convection sites. Vorticity dynamics provides the physical rationale for this sinking near topography: only dissipation at the boundary is able to balance the vortex stretching induced by any net sinking, which is hence prevented in the open ocean. These findings corroborate previous idealized studies and conceptually replace the historical offshore conveyor belts by boundary \n              sinking rings \n              . They challenge the respective roles of convection and sinking in shaping the oceanic overturning circulation and confirm the key role of boundary currents in ventilating the interior ocean. \n             \n          ,  \n            Plain Language Summary \n             \n              The oceanic thermohaline or overturning circulation is a global circulation that ventilates the deep ocean, that is, the bulk of the global oceanic volume. It has been historically represented as a so‐called \n              conveyor belt \n              that sinks at deep convection sites. Those areas are known to undergo intense vertical exchanges as a result of surface cooling and to determine the physical properties of deep waters. However, because of the Earth's rotation, the ocean can hardly sink far from the coasts, which questions the commonly accepted equivalence between convection and sinking. In this study, we focus on the Mediterranean Sea which displays an overturning circulation and we use both a numerical model and observations to address where and why this sinking occurs. We find that indeed, little to no sinking takes place at convection sites, whereas boundary currents undergo intense sinking within 50 km of the coast. Our physical analysis confirms that it is due to the Earth's rotation prohibiting any significant sinking away from the coast. Hence, we propose to view the thermohaline circulation as \n              sinking rings \n              of boundary currents that deepen along their path rather than conveyor belts that sink offshore. \n             \n          ,  \n            Key Points \n             \n               \n                 \n                  Because of the Earth's rotation, the sinking of the overturning circulation occurs near the boundaries, away from open sea convection sites \n                 \n                 \n                  An estimation of sinking is derived from the observed deepening and barotropization of the main northwestern Mediterranean boundary current \n                 \n                 \n                   \n                    We update the conceptual view of the Mediterranean overturning circulation from offshore \n                    conveyor belts \n                    to boundary \n                    sinking rings",
        "publicationTitle": "Geophysical Research Letters",
        "publisher": "",
        "place": "",
        "date": "2018-08-28",
        "volume": "45",
        "issue": "16",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "8407-8415",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Geophysical Research Letters",
        "DOI": "10.1029/2018GL078502",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018GL078502",
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        "ISSN": "0094-8276, 1944-8007",
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        "shortTitle": "",
        "language": "en",
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        "version": 243,
        "itemType": "journalArticle",
        "title": "On the Chaotic Variability of Deep Convection in the Mediterranean Sea",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Robin",
            "lastName": "Waldman"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Marine",
            "lastName": "Herrmann"
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            "creatorType": "author",
            "firstName": "Pål Erik",
            "lastName": "Isachsen"
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        ],
        "abstractNote": "Abstract \n            Chaotic intrinsic variability is a fundamental driver of the oceanic variability. Its understanding is key to interpret observations, evaluate numerical models, and predict the future ocean and climate. Here we study intrinsic variability of deep convection in the northwestern Mediterranean Sea using an ensemble eddy‐resolving hindcast simulation over the period 1979–2013. We find that the variability of deep convection is mostly forced but also, to a considerable extent, intrinsic. The intrinsic variability can dominate the total convection variability locally and over a single winter. It also makes up a significant fraction of its interannual variability but has only modest impacts on the long‐term mean state. We find that the occurrence of deep convection is random 18% of years at the basin scale, and 29% locally at the LION observational site. Spatially, the intrinsic variability is highest far from the continental shelf. We relate this pattern to baroclinic instability theory that takes bottom stabilization into account. \n          ,  \n            Key Points \n             \n               \n                 \n                  The chronology of deep convection is largely random due to the Intrinsic Ocean Variability arising from a mesoscale‐eddying ocean \n                 \n                 \n                  The spatial patterns of intrinsic variability can be explained by the effect of bottom topography on baroclinic instability \n                 \n                 \n                  Our results support the paradigm change from deterministic to probabilistic oceanography",
        "publicationTitle": "Geophysical Research Letters",
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        "place": "",
        "date": "2018-03-16",
        "volume": "45",
        "issue": "5",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "2433-2443",
        "series": "",
        "seriesTitle": "",
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        "journalAbbreviation": "Geophysical Research Letters",
        "DOI": "10.1002/2017GL076319",
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            "firstName": "Anika",
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        "date": "1/2018",
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        "partNumber": "",
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        "pages": "693-703",
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        "date": "8/2018",
        "volume": "51",
        "issue": "3",
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        "partTitle": "",
        "pages": "1023-1040",
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            "firstName": "Miguel Ángel",
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        "title": "Model simulation of ammonium and nitrate aerosols distribution in the Euro-Mediterranean region and their radiative and climatic effects over 1979–2016",
        "creators": [
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            "creatorType": "author",
            "firstName": "Thomas",
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        "abstractNote": "Abstract. Aerosols play an important role in Europe and the Mediterranean area where different\nsources of natural and anthropogenic particles are present. Among them\nammonium and nitrate (A&amp;N) aerosols may have a growing impact on regional\nclimate. In this study, their representation in coarse and fine modes has\nbeen introduced in the prognostic aerosol scheme of the ALADIN-Climate\nregional model. This new aerosol scheme is evaluated over Europe and the\nMediterranean Sea, using two twin simulations over the period 1979–2016 with\nand without A&amp;N aerosols. This evaluation is performed at local and\nregional scales, using surface stations and satellite measurements. Despite\nan overestimate of the surface nitrate concentration, the model is able to\nreproduce its spatial pattern including local maxima (Benelux, Po Valley).\nConcerning the simulated aerosol optical depth (AOD), the inclusion of A&amp;N\naerosols significantly reduces the model bias compared to both AERONET\nstations and satellite data. Our results indicate that A&amp;N aerosols can\ncontribute up to 40 % of the total AOD550 over Europe, with an\naverage of 0.07 (550 nm) over the period 2001–2016. Sensitivity studies\nsuggest that biases still present are related to uncertainties associated\nwith the annual cycle of A&amp;N aerosol precursors (ammonia and nitric acid).\nThe decrease in sulfate aerosol production over Europe since 1980 produces\nmore free ammonia in the atmosphere leading to an increase in A&amp;N\nconcentrations over the studied period. Analyses of the different aerosol\ntrends have shown for the first time to our knowledge that, since 2005 over\nEurope, A&amp;N AOD550 and A&amp;N shortwave (SW) direct radiative forcing\n(DRF) are found to be higher than sulfate and organics, making these the\nspecies with the highest AOD and the highest DRF. On average over the period\n1979–2016, the A&amp;N DRF is found to be about −1.7 W m−2 at the\nsurface and −1.4 W m−2 at the top of the atmosphere (TOA) in all sky\nconditions over Europe, with regional maxima located at the surface over the\nPo Valley (−5 W m−2). Finally, the dimming effect of A&amp;N aerosols\nis responsible for a cooling of about −0.2∘ C over Europe\n(summer), with a maximum of −0.4 ∘C over the Po Valley. Concerning\nprecipitation, no significant impact of A&amp;N aerosols has been found.",
        "publicationTitle": "Atmospheric Chemistry and Physics",
        "publisher": "",
        "place": "",
        "date": "2019-03-22",
        "volume": "19",
        "issue": "6",
        "section": "",
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        "partTitle": "",
        "pages": "3707-3731",
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            "firstName": "Fabien",
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            "firstName": "Patrick",
            "lastName": "Marsaleix"
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            "firstName": "Caroline",
            "lastName": "Ulses"
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            "firstName": "Laure",
            "lastName": "Velez"
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            "firstName": "Yunne-Jai",
            "lastName": "Shin"
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        "publicationTitle": "Frontiers in Marine Science",
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        "place": "",
        "date": "2019-6-25",
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        "pages": "345",
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        "version": 229,
        "itemType": "journalArticle",
        "title": "Past Variability of Mediterranean Sea Marine Heatwaves",
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          {
            "creatorType": "author",
            "firstName": "Sofia",
            "lastName": "Darmaraki"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
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            "creatorType": "author",
            "firstName": "Florence",
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        "abstractNote": "Abstract \n            Marine heatwaves (MHWs) are episodes of anomalous warming in the ocean, responsible for widespread impacts on marine ecosystems. For the first time summer MHW variability at surface and three ecosystem‐relevant depths of the upper Mediterranean Sea are assessed here for 1982–2017. We apply a MHW detection algorithm on a hindcast simulation, performed with a high‐resolution, fully coupled regional climate system model. Identified surface events last, on average, 15 days with a mean intensity of 0.6 °C above threshold and a maximum sea surface coverage of around 39%. Subsurface events are seasonally shifted and appear, on average, longer and more intense but less frequent and less extended in space than surface MHWs. We also find significant trends of increase in most MHW properties throughout the period, with severe surface MHWs detected for the first time in 2012, 2015, and 2017. However, MHW spatial ≪ hot spots ≫ are inhomogeneously distributed in surface and deeper layers. \n          ,  \n            Plain Language Summary \n            Marine heatwaves (MHWs) are episodes of prolonged and extended anomalous warming in the ocean, responsible for widespread impacts on marine ecosystems and related fisheries. Here, we identify for the first time all the MHWs that have occurred at surface and three ecosystem‐relevant depths of the Mediterranean Sea between 1982 and 2017. To do this, we use the output from the latest version of a regional, high‐resolution climate system model and a consistent detection framework. We find that past surface events, on average, last around 2 weeks and cover almost half the basin with above‐normal temperatures by more than half a degree. Subsurface events appear seasonally shifted and on average, longer and more intense but less frequent and less extended in space than surface MHWs. Following an increase of extremes temperatures with time, surface MHWs appear to have become longer, more severe and spatially extended, while record‐breaking MHWs are identified for the first time in 2012, 2015, and 2017 in addition to the well‐documented 2003 event. However, spatial distribution of MHW ≪ hot spots ≫ differs at surface and depth. \n          ,  \n            Key Points \n             \n               \n                 \n                  First time significant past trends of (sub)surface Mediterranean Marine heatwave characteristics are detected using a consistent framework \n                 \n                 \n                  Subsurface events are seasonally shifted and on average longer and more severe than surface ones with different spatial hot spots \n                 \n                 \n                  Record‐breaking events are identified for the first time in 2012 and 2015 using a high‐resolution coupled regional climate system model",
        "publicationTitle": "Geophysical Research Letters",
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        "place": "",
        "date": "2019-08-28",
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        "partNumber": "",
        "partTitle": "",
        "pages": "9813-9823",
        "series": "",
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        "journalAbbreviation": "Geophysical Research Letters",
        "DOI": "10.1029/2019GL082933",
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            "lastName": "Gonzalez"
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            "firstName": "Giovanni",
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            "firstName": "Christopher",
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            "creatorType": "author",
            "firstName": "Cécile",
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            "firstName": "Antoinette",
            "lastName": "Alias"
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            "lastName": "Bernard-Bouissières"
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            "lastName": "Seity"
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            "firstName": "Véronique",
            "lastName": "Ducrocq"
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        "abstractNote": "Abstract \n            Modelling the rare but high-impact Mediterranean Heavy Precipitation Events (HPEs) at climate scale remains a largely open scientific challenge. The issue is adressed here by running a 38-year-long continuous simulation of the CNRM-AROME Convection-Permitting Regional Climate Model (CP-RCM) at a 2.5 km horizontal resolution and over a large pan-Alpine domain. First, the simulation is evaluated through a basic Eulerian statistical approach via a comparison with selected high spatial and temporal resolution observational datasets. Northwestern Mediterranean fall extreme precipitation is correctly represented by CNRM-AROME at a daily scale and even better at an hourly scale, in terms of location, intensity, frequency and interannual variability, despite an underestimation of daily and hourly highest intensities above 200 mm/day and 40 mm/h, respectively. A comparison of the CP-RCM with its forcing convection-parameterised 12.5 km Regional Climate Model (RCM) demonstrates a clear added value for the CP-RCM, confirming previous studies. Secondly, an object-oriented Lagrangian approach is proposed with the implementation of a precipitating system detection and tracking algorithm, applied to the model and the reference COMEPHORE precipitation dataset for twenty fall seasons. Using French Mediterranean HPEs as objects, CNRM-AROME’s ability to represent the main characteristics of fall convective systems and tracks is highlighted in terms of number, intensity, area, duration, velocity and severity. Further, the model is able to simulate long-lasting and severe extreme fall events similar to observations. However, it fails to reproduce the precipitating systems and tracks with the highest intensities (maximum intensities above 40 mm/h) well, and the model’s tendency to overestimate the cell size increases with intensity.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2021-03",
        "volume": "56",
        "issue": "5-6",
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        "partNumber": "",
        "partTitle": "",
        "pages": "1717-1752",
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        "title": "Large discrepancies in summer climate change over Europe as projected by global and regional climate models: causes and consequences",
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            "firstName": "Julien",
            "lastName": "Boé"
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            "firstName": "Lola",
            "lastName": "Corre"
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            "firstName": "Pierre",
            "lastName": "Nabat"
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        "publisher": "",
        "place": "",
        "date": "2020-03",
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        "pages": "2981-3002",
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        "creatorSummary": "Reale et al.",
        "parsedDate": "2020-09",
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      "data": {
        "key": "KYBP8S34",
        "version": 207,
        "itemType": "journalArticle",
        "title": "The Regional Earth System Model RegCM‐ES: Evaluation of the Mediterranean Climate and Marine Biogeochemistry",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Marco",
            "lastName": "Reale"
          },
          {
            "creatorType": "author",
            "firstName": "Filippo",
            "lastName": "Giorgi"
          },
          {
            "creatorType": "author",
            "firstName": "Cosimo",
            "lastName": "Solidoro"
          },
          {
            "creatorType": "author",
            "firstName": "Valeria",
            "lastName": "Di Biagio"
          },
          {
            "creatorType": "author",
            "firstName": "Fabio",
            "lastName": "Di Sante"
          },
          {
            "creatorType": "author",
            "firstName": "Laura",
            "lastName": "Mariotti"
          },
          {
            "creatorType": "author",
            "firstName": "Riccardo",
            "lastName": "Farneti"
          },
          {
            "creatorType": "author",
            "firstName": "Gianmaria",
            "lastName": "Sannino"
          }
        ],
        "abstractNote": "Abstract \n            We introduce a new version of the Earth System Regional Climate model RegCM‐ES and evaluate its performances for the first time over the Mediterranean region. The novel aspect of this coupled system is the possibility to simulate the dynamics of the marine ecosystem through a biogeochemical model, BFM (Biogeochemical Flux Model), coupled online with the ocean circulation model MITgcm (MIT general circulation model). The validation of atmosphere and ocean components has shown that the model is able to capture interannual and intermonthly variabilities of the atmospheric heat fluxes and spatial patterns of land surface temperature, precipitation, evaporation, and sea surface temperature with a general improvement compared to previous versions. At the same time, we diagnosed some prominent deficiencies as a warm and dry bias associated in summer with the resolution of the atmospheric module and the tuning of the boundary layer and convective precipitation scheme. On the biogeochemical side, RegCM‐ES shows good skills in reproducing mean values and spatial patterns of net primary production, phosphate, and horizontal/vertical patterns of chlorophyll‐a. Limitations in this case include deficiencies mainly in the simulation of mean values of nitrate and dissolved oxygen in the basin which have been associated with too large vertical mixing throughout the water column, deficiencies in the boundary conditions, and solubility computations. Overall, RegCM‐ES has the potential to become a suitable tool for the analysis of the impacts of climate change on the ocean and marine biogeochemistry in the Mediterranean region and many other domains. \n          ,  \n            Plain Language Summary \n            We evaluate the skills of a new version of a regional coupled model in reproducing climate and marine biogeochemistry of the Mediterranean region. We find that the model, despite some persistent biases, is able to capture most key aspects of the regional Mediterranean climate and its marine biogeochemistry. \n          ,  \n            Key Points \n             \n               \n                 \n                  A new version of the Earth System Regional Climate Model RegCM‐ES is described and validated in the Mediterranean region \n                 \n                 \n                  The new development of this modeling tool is the possibility to simulate the dynamics of marine ecosystems \n                 \n                 \n                  The model shows good skills in reproducing net primary production, chlorophyll‐a, and phosphate in the basin",
        "publicationTitle": "Journal of Advances in Modeling Earth Systems",
        "publisher": "",
        "place": "",
        "date": "2020-09",
        "volume": "12",
        "issue": "9",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2019MS001812",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "J Adv Model Earth Syst",
        "DOI": "10.1029/2019MS001812",
        "citationKey": "",
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        "title": "The northern Adriatic circulation regimes in the future winter climate",
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            "firstName": "Marco",
            "lastName": "Reale"
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        "date": "2022-05",
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        "pages": "2501-2524",
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            "creatorType": "author",
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            "firstName": "Ivan",
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        "abstractNote": "Abstract \n            One of the Mediterranean hotspots for extreme precipitation is the coastal mountainous eastern Adriatic and Dinaric Alps regions, which are often affected by heavy precipitation events (HPEs) that can cause severe damage. Representing these events at different time scales and projecting their future evolution using regional climate models (RCMs) remains a key modelling challenge. This study evaluates the impact of model configuration on the representation of extreme daily precipitation in an RCM at climatological (1979–2012) and event scales (HPEs). Additionally, the impact of the spectral nudging (SN) technique is analysed. We compare two CNRM‐ALADIN model configurations, and perform several sensitivity tests on specific parameters within a configuration. All simulations are driven by the ERA‐Interim re‐analysis over the Med‐CORDEX domain at 0.11° horizontal resolution. On all examined time scales, model configuration shows a considerable impact on the mean and extreme daily precipitation. The new physical parameterizations of moist processes show improvement at the climatological (precipitation intensity, extreme precipitation and frequency of light precipitation) and event (the occurrence, spatial pattern and structure of HPEs) scales. Extreme precipitation shows limited sensitivity to specific parameters and is highly dependent on HPE. The use of SN improves the temporal variability at climatological scales and the location and occurrence of HPEs. We conclude that extreme precipitation representation in CNRM‐ALADIN is more sensitive to change in the model configuration, particularly in the physical parameterizations, than to the application of SN. This study shows that the development and advancement of physical parameterizations can improve the model representation of extreme precipitation at several time scales and can therefore be considered as a means to reduce uncertainties in future climate projections.",
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        "date": "2021-10",
        "volume": "147",
        "issue": "741",
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        "pages": "4425-4453",
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        "journalAbbreviation": "Quart J Royal Meteoro Soc",
        "DOI": "10.1002/qj.4187",
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        "ISSN": "0035-9009, 1477-870X",
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        "shortTitle": "Modelling extreme precipitation over the Dinaric Alps",
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        "title": "How warmer and drier will the Mediterranean region be at the end of the twenty-first century?",
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            "creatorType": "author",
            "firstName": "Philippe",
            "lastName": "Drobinski"
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            "creatorType": "author",
            "firstName": "Nicolas",
            "lastName": "Da Silva"
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            "firstName": "Caroline",
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            "lastName": "Lionello"
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            "firstName": "Sebastian K.",
            "lastName": "Müller"
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            "firstName": "Klaus",
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            "firstName": "Stergios",
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            "firstName": "Klaus",
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        "abstractNote": "A recently launched project under the auspices of the World Climate Research Program’s (WCRP) Coordinated Regional Downscaling Experiments Flagship Pilot Studies program (CORDEX-FPS) is presented. This initiative aims to build first-of-its-kind ensemble climate experiments of convection permitting models to investigate present and future convective processes and related extremes over Europe and the Mediterranean. In this manuscript the rationale, scientific aims and approaches are presented along with some preliminary results from the testing phase of the project. Three test cases were selected in order to obtain a first look at the ensemble performance. The test cases covered a summertime extreme precipitation event over Austria, a fall Foehn event over the Swiss Alps and an intensively documented fall event along the Mediterranean coast. The test cases were run in both “weather-like” (WL, initialized just before the event in question) and “climate” (CM, initialized 1 month before the event) modes. Ensembles of 18–21 members, representing six different modeling systems with different physics and modelling chain options, was generated for the test cases (27 modeling teams have committed to perform the longer climate simulations). Results indicate that, when run in WL mode, the ensemble captures all three events quite well with ensemble correlation skill scores of 0.67, 0.82 and 0.91. They suggest that the more the event is driven by large-scale conditions, the closer the agreement between the ensemble members. Even in climate mode the large-scale driven events over the Swiss Alps and the Mediterranean coasts are still captured (ensemble correlation skill scores of 0.90 and 0.62, respectively), but the inter-model spread increases as expected. In the case over Mediterranean the effects of local-scale interactions between flow and orography and land–ocean contrasts are readily apparent. However, there is a much larger, though not surprising, increase in the spread for the Austrian event, which was weakly forced by the large-scale flow. Though the ensemble correlation skill score is still quite high (0.80). The preliminary results illustrate both the promise and the challenges that convection permitting modeling faces and make a strong argument for an ensemble-based approach to investigating high impact convective processes.",
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        "journalAbbreviation": "Clim Dyn",
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        "title": "Influence of large-scale atmospheric circulation patterns on nutrient dynamics in the Mediterranean Sea in the extended winter season (October-March) 1961-1999",
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            "firstName": "M",
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        "abstractNote": "We investigated the effects of variations in the 4 primary mid-latitude large-scale atmospheric circulation patterns on nutrients potentially limiting phytoplankton growth in the Mediterranean Sea (nitrate and phosphate), with a focus on the key deep convective areas of the basin (Gulf of Lions, Southern Adriatic Sea, Southern Aegean Sea and Rhodes Gyre). Monthly indices of these 4 modes of variability, together with a high-resolution hindcast of the Mediterranean Sea physics and biogeochemistry covering the period 1961-1999, were used to determine the physical mechanisms explaining the influence of these patterns on nutrient distribution and variability. We found a decrease in the concentration of phosphate and nitrate for each unit of increase in the index values of the East Atlantic and East Atlantic/Western Russian variability modes in the area of the Gulf of Lions, while a signal of the opposite sign was associated with the North Atlantic Oscillation in the Aegean Sea and Rhodes Gyre. In both cases, the variability observed was related to a significant variation in the mixed layer depth driven by heat losses and wind stress over the areas. The East Atlantic pattern played a major role in driving the long-term dynamics of both phosphate and nitrate availability in the Gulf of Lions, with a particularly pronounced effect in December and January. For both the Aegean Sea and Rhodes Gyre, the most prominent correlations were found between the North Atlantic Oscillation and phosphate, with a highly consistent behavior in the 2 areas associated with common physical forcing and exchange of properties among them.",
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            "lastName": "de Vries"
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            "firstName": "Kirsten",
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            "firstName": "Volker",
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            "creatorType": "author",
            "firstName": "Mar Janne",
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        "abstractNote": "Here we present the first multi-model ensemble of regional climate simulations at kilometer-scale horizontal grid spacing over a decade long period. A total of 23 simulations run with a horizontal grid spacing of $$\\sim $$3 km, driven by ERA-Interim reanalysis, and performed by 22 European research groups are analysed. Six different regional climate models (RCMs) are represented in the ensemble. The simulations are compared against available high-resolution precipitation observations and coarse resolution ($$\\sim $$12 km) RCMs with parameterized convection. The model simulations and observations are compared with respect to mean precipitation, precipitation intensity and frequency, and heavy precipitation on daily and hourly timescales in different seasons. The results show that kilometer-scale models produce a more realistic representation of precipitation than the coarse resolution RCMs. The most significant improvements are found for heavy precipitation and precipitation frequency on both daily and hourly time scales in the summer season. In general, kilometer-scale models tend to produce more intense precipitation and reduced wet-hour frequency compared to coarse resolution models. On average, the multi-model mean shows a reduction of bias from $$\\sim \\,$$ −40% at 12 km to $$\\sim \\,$$ −3% at 3 km for heavy hourly precipitation in summer. Furthermore, the uncertainty ranges i.e. the variability between the models for wet hour frequency is reduced by half with the use of kilometer-scale models. Although differences between the model simulations at the kilometer-scale and observations still exist, it is evident that these simulations are superior to the coarse-resolution RCM simulations in the representing precipitation in the present-day climate, and thus offer a promising way forward for investigations of climate and climate change at local to regional scales.",
        "publicationTitle": "Climate Dynamics",
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        "title": "The first multi-model ensemble of regional climate simulations at kilometer-scale resolution part 2: historical and future simulations of precipitation",
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        "abstractNote": "This paper presents the first multi-model ensemble of 10-year, “convection-permitting” kilometer-scale regional climate model (RCM) scenario simulations downscaled from selected CMIP5 GCM projections for historical and end of century time slices. The technique is to first downscale the CMIP5 GCM projections to an intermediate 12–15 km resolution grid using RCMs, and then use these fields to downscale further to the kilometer scale. The aim of the paper is to provide an overview of the representation of the precipitation characteristics and their projected changes over the greater Alpine domain within a Coordinated Regional Climate Downscaling Experiment Flagship Pilot Study and the European Climate Prediction system project, tasked with investigating convective processes at the kilometer scale. An ensemble of 12 simulations performed by different research groups around Europe is analyzed. The simulations are evaluated through comparison with high resolution observations while the complementary ensemble of 12 km resolution driving models is used as a benchmark to evaluate the added value of the convection-permitting ensemble. The results show that the kilometer-scale ensemble is able to improve the representation of fine scale details of mean daily, wet-day/hour frequency, wet-day/hour intensity and heavy precipitation on a seasonal scale, reducing uncertainty over some regions. It also improves the representation of the summer diurnal cycle, showing more realistic onset and peak of convection. The kilometer-scale ensemble refines and enhances the projected patterns of change from the coarser resolution simulations and even modifies the sign of the precipitation intensity change and heavy precipitation over some regions. The convection permitting simulations also show larger changes for all indices over the diurnal cycle, also suggesting a change in the duration of convection over some regions. A larger positive change of frequency of heavy to severe precipitation is found. The results are encouraging towards the use of convection-permitting model ensembles to produce robust assessments of the local impacts of future climate change.",
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        "abstractNote": "Abstract. The present work aims at better understanding regional climate–aerosol interactions by studying the relationships between aerosols and synoptic atmospheric circulation over the Euro-Mediterranean region. Two 40-year simulations (1979–2018) have been carried out with version 6.3 of the Centre National de Recherches Météorologiques (National Centre for Meteorological Research) – Aire Limitée Adaptation dynamique Développement InterNational (CNRM-ALADIN) regional climate model, one using interactive aerosols and the other one without any aerosol.\nThe simulation with aerosols has been evaluated in terms of different climate and aerosol parameters. This evaluation shows a good agreement between the model and observations, significant improvements compared to the previous model version and consequently the relevance of using this model for the study of climate–aerosol interactions over this region. A first attempt to explain the climate variability of aerosols is based on the use of the North Atlantic Oscillation (NAO) index. The latter explains a significant part of the interannual variability, notably in winter for the export of dust aerosols over the Atlantic Ocean and the eastern Mediterranean, and in summer for the positive anomalies of anthropogenic aerosols over western Europe. This index is however not sufficient to fully understand the variations of aerosols in this region, notably at daily scale. The use of “weather regimes”, namely persisting meteorological patterns, stable at synoptic scale for a few days, provides a relevant description of atmospheric circulation, which drives the emission, transport and deposition of aerosols. The four weather regimes usually defined in this area in winter and in summer bring significant information to answer this question. The blocking and NAO+ regimes are largely favourable to strong aerosol effects on shortwave surface radiation and near-surface temperature, either because of higher aerosol loads or because of weaker cloud fraction, which reinforces the direct aerosol effect. Inversely, the NAO− and Atlantic Ridge regimes are unfavourable to aerosol radiative effects, because of weaker aerosol concentrations and increased cloud cover. This study thus puts forward the strong dependence of aerosol loads on the synoptic circulation from interannual to daily scales and, as a consequence, the important modulation of the aerosol effects on shortwave surface radiation and near-surface temperature by atmospheric circulation. The role of cloud cover is essential in this modulation as shown by the use of weather regimes.",
        "publicationTitle": "Atmospheric Chemistry and Physics",
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        "title": "Projected Effects of Climate-Induced Changes in Hydrodynamics on the Biogeochemistry of the Mediterranean Sea Under the RCP 8.5 Regional Climate Scenario",
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        "abstractNote": "Convective scale processes and, therefore, thunderstorm-related hazards cannot be simulated using regional climate models with horizontal grid spacing in the order of 10 km. However, larger-scale environmental conditions of these local high-impact phenomena can be diagnosed to assess their frequency in current and future climates. In this study, we present a daytime climatology of severe thunderstorm environments and its evolution for a wide Euro-Mediterranean domain through the 21st century, using regional climate model simulations forced by Representative Concentration Pathway (RCP) 8.5 scenario. Currently, severe convective weather is more frequently favored around Central Europe and the Mediterranean Sea. Our results suggest that with a steady progress until the end of the century, Mediterranean coasts are projected to experience a significantly higher frequency of severe thunderstorm environments, while a slight decrease over parts of continental Europe is evaluated. The increase across the Mediterranean is mostly owed to the warming sea surface, which strengthens thermodynamic conditions in the wintertime, while local factors arguably keep the shear frequency relatively higher than the entire region. On the other hand, future northward extension of the subtropical belt over Europe in the warm season reduces the number of days with severe thunderstorm environments.",
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        "abstractNote": "This study explores the role of model resolution on the simulation of precipitation and on the estimate of its future change in the Mediterranean region. It compares the results of two regional climate models (RCMs, with two different horizontal grid resolutions, 0.44 and 0.11 degs, covering the whole Mediterranean region) and of the global climate model (GCM, 0.75 degs) that has provided the boundary conditions for them. The regional climate models include an interactive oceanic component with a resolution of 1/16 degs. The period 1960–2100 and the representative concentration pathways RCP4.5 and RCP8.5 are considered. The results show that, in the present climate, increasing resolution increases total precipitation and its extremes over steep orography, while it has the opposite effect over flat areas and the sea. Considering climate change, in all simulations, total precipitation will decrease over most of the considered domain except at the northern boundary, where it will increase. Extreme precipitation will increase over most of the northern Mediterranean region and decrease over the sea and some southern areas. Further, the overall probability of precipitation (frequency of wet days) significantly decreases over most of the region, but wet days will be characterized with precipitation intensity higher than the present. Our analysis shows that: (1) these projected changes are robust with respect to the considered range of model resolution; (2) increasing the resolution (within the considered resolution range) decreases the magnitude of these climate change effects. However, it is likely that resolution plays a less important role than other factors, such as the different physics of regional and global climate models. It remains to be investigated whether further increasing the resolution (and reaching the scale explicitly permitting convection) would change this conclusion.",
        "publicationTitle": "Atmosphere",
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        "title": "Impact of Climate Change on Wave Energy Resource in the Mediterranean Coast of Morocco",
        "creators": [
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            "firstName": "Joan Pau",
            "lastName": "Sierra"
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        "abstractNote": "The increasing demand for energy and the impacts generated by CO2 emissions make it necessary to harness all possible renewable sources of energy, like wave power. Nevertheless, climate change may generate significant variations in the amount of wave energy available in a certain area. The aim of this paper is to study potential changes in the wave energy resource in the Mediterranean coast of Morocco due to climate change. To do this, wave datasets obtained by four institutes during the Coordinated Regional Climate Downscaling Experiment in the Mediterranean Region (Med-CORDEX) project are used. The future conditions correspond to the RCP4.5 and RCP8.5 scenarios from the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. The results show that projected future wave power is very similar to that of the present considering the whole area, although at some specific points there are slight changes that are more evident for the RCP8.5 scenario. Another remarkable result of this study is the significant increase of the temporal variability of wave power in future scenarios, in particular for RCP8.5. This will be detrimental for the deployment of wave energy converters in this area since their energy output will be more unevenly distributed over time, thus decreasing their efficiency.",
        "publicationTitle": "Energies",
        "publisher": "",
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        "date": "2020-06-10",
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        "pages": "2993",
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        "DOI": "10.3390/en13112993",
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        "creatorSummary": "Allam et al.",
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        "itemType": "journalArticle",
        "title": "Specific climate classification for Mediterranean hydrology and future evolution under Med-CORDEX regional climate model scenarios",
        "creators": [
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            "creatorType": "author",
            "firstName": "Antoine",
            "lastName": "Allam"
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            "firstName": "Claude",
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        "abstractNote": "Abstract. The Mediterranean region is one of the most sensitive regions to anthropogenic and climatic changes, mostly affecting its water resources and related practices. With multiple studies raising serious concerns about climate shifts and aridity expansion in the region, this one aims to establish a new high-resolution classification for hydrology purposes based on Mediterranean-specific climate indices. This classification is useful in following up on hydrological (water resource management, floods, droughts, etc.) and ecohydrological applications such as Mediterranean agriculture. Olive cultivation is the characteristic agricultural practice of the Mediterranean region. The proposed approach includes the use of classic climatic indices and the definition of new climatic indices, mainly precipitation seasonality index Is or evapotranspiration threshold SPET, both in line with river flow regimes, a principal component analysis to reduce the number of indices, K-means classification to distribute them into classes, and finally the construction of a decision tree based on the distances to class kernels to reproduce\nthe classification without having to repeat the whole process. The\nclassification was set and validated by WorldClim-2 at 1 km high-resolution gridded data for the 1970–2000 baseline period and 144 stations' data over 30 to 120 years, both at monthly time steps. Climatic classes coincided with a geographical distribution in the Mediterranean ranging from the most seasonal and driest class 1 in the south to the least seasonal and most humid class 5 in the north, showing the climatic continuity from one place to another and enhancing the visibility of change trends. The MED-CORDEX ALADIN and CCLM historical and projected data at 12 and 50 km resolution simulated under the RCP4.5 and 8.5 scenarios for the 2070–2100 period served to assess the climate change impact on this classification by superimposing the projected changes on the baseline grid-based classification. RCP scenarios increase the seasonality index Is by +80 % and the aridity index IArid by +60 % in the north and IArid by +10 % without Is change in the south, hence causing the wet season shortening and river regime modification with the migration north of moderate and extreme winter regimes instead of early spring regimes. The ALADIN and CCLM regional climate models (RCMs) have demonstrated an evolution of the Mediterranean region towards arid climate. The classes located to the north are slowly evolving towards moderate coastal classes, which might affect hydrologic regimes due to shorter humid seasons and earlier snowmelts. These scenarios might look favourable for Mediterranean cultivation; however, the expected impact on water resources and flow regimes will surely expand and directly hit ecosystems, food, health, and tourism, as risk is interconnected between domains. This kind of classification might be reproduced at the global scale, using the same or other climatic indices specific to each region, highlighting their physiographic characteristics and hydrological responses.",
        "publicationTitle": "Hydrology and Earth System Sciences",
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        "date": "2020-09-16",
        "volume": "24",
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        "pages": "4503-4521",
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        "journalAbbreviation": "Hydrol. Earth Syst. Sci.",
        "DOI": "10.5194/hess-24-4503-2020",
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        "creatorSummary": "Drugé et al.",
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        "title": "Future evolution of aerosols and implications for climate change in the Euro-Mediterranean region using the CNRM-ALADIN63 regional climate model",
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            "creatorType": "author",
            "firstName": "Thomas",
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            "creatorType": "author",
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            "firstName": "Samuel",
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        "abstractNote": "Abstract. This study investigates, through regional climate modelling, the surface mass concentration and AOD (aerosol optical depth) evolution of the various (anthropogenic and natural) aerosols over the Euro-Mediterranean region between the end of the 20th century and the mid-21st century. The direct aerosol radiative forcing (DRF) as well as the future Euro-Mediterranean climate sensitivity to aerosols have also been analysed. Different regional climate simulations were carried out with the CNRM-ALADIN63 regional climate model, driven by the global CNRM-ESM2-1 Earth system model (used in CMIP6) and coupled to the TACTIC (Tropospheric Aerosols for ClimaTe In CNRM) interactive aerosol scheme. These simulations follow several future scenarios called shared socioeconomic pathways (SSP 1-1.9, SSP 3-7.0 and SSP 5-8.5), which have been chosen to analyse a wide range of possible future scenarios in terms of aerosol or particle precursor emissions. Between the historical and the future period, results show a total AOD decrease between 30 % and 40 % over Europe for the three scenarios, mainly due to the sulfate AOD decrease (between −85 and −93 %), that is partly offset by the nitrate and ammonium particles AOD increase (between +90 and +120 %). According to these three scenarios, nitrate aerosols become the largest contributor to the total AOD during the future period over Europe, with a contribution between 43.5 % and 47.5 %. It is important to note that one of the precursors of nitrate and ammonium aerosols, nitric acid, has been implemented in the model as a constant climatology over time. Concerning natural aerosols, their contribution to the total AOD increases slightly between the two periods. The different evolution of aerosols therefore impacts their DRF, with a significant sulfate DRF decrease between 2.4 and 2.8 W m−2 and a moderate nitrate and ammonium DRF increase between 1.3 and 1.5 W m−2, depending on the three scenarios over Europe. These changes, which are similar under the different scenarios, explain about 65 % of the annual shortwave radiation change but also about 6 % (in annual average) of the warming expected over Europe by the middle of the century. This study shows, with SSP 5-8.5, that the extra warming attributable to the anthropogenic aerosol evolution over Central Europe and the Iberian Peninsula during the summer period is due to “aerosol–radiation” as well as “aerosol–cloud” interaction processes. The extra warming of about 0.2 ∘C over Central Europe is explained by a surface radiation increase of 5.8 W m−2 over this region, due to both a surface aerosol DRF decrease of 4.4 W m−2 associated with a positive effective radiative forcing due to aerosol–radiation interactions (ERFari) of 2.7 W m−2 at the top of the atmosphere (TOA) and a cloud optical depth (COD) decrease of 1.3. In parallel, the simulated extra warming of 0.2∘C observed over the Iberian Peninsula is due to a COD decrease of 1.3, leading to a positive effective radiative forcing due to aerosol–cloud interactions (ERFaci) of 2.6 W m−2 at the TOA but also to an atmospheric dynamics change leading to a cloud cover decrease of about 1.7 % and drier air in the lower layers, which is a signature of the semi-direct forcing. This study thus highlights the necessity of taking into account the evolution of aerosols in future regional climate simulations.",
        "publicationTitle": "Atmospheric Chemistry and Physics",
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        "date": "2021-05-20",
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        "version": 163,
        "itemType": "journalArticle",
        "title": "Modeling Carbon Budgets and Acidification in the Mediterranean Sea Ecosystem Under Contemporary and Future Climate",
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            "firstName": "Cosimo",
            "lastName": "Solidoro"
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            "firstName": "Stefano",
            "lastName": "Salon"
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        ],
        "abstractNote": "We simulate and analyze the effects of a high CO \n              2 \n              emission scenario on the Mediterranean Sea biogeochemical state at the end of the XXI century, with a focus on carbon cycling, budgets and fluxes, within and between the Mediterranean sub-basins, and on ocean acidification. As a result of the overall warming of surface water and exchanges at the boundaries, the model results project an increment in both the plankton primary production and the system total respiration. However, productivity increases less than respiration, so these changes yield to a decreament in the concentrations of total living carbon, chlorophyll, particulate organic carbon and oxygen in the epipelagic layer, and to an increment in the DIC pool all over the basin. In terms of mass budgets, the large increment in the dissolution of atmospheric CO \n              2 \n              results in an increment of most carbon fluxes, including the horizontal exchanges between eastern and western sub-basins, in a reduction of the organic carbon component, and in an increament of the inorganic one. The eastern sub-basin accumulates more than 85% of the absorbed atmospheric CO \n              2 \n              . A clear ocean acidification signal is observed all over the basin, quantitatively similar to those projected in most oceans, and well detectable also down to the mesopelagic and bathypelagic layers.",
        "publicationTitle": "Frontiers in Marine Science",
        "publisher": "",
        "place": "",
        "date": "2022-1-12",
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        "partNumber": "",
        "partTitle": "",
        "pages": "781522",
        "series": "",
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        "journalAbbreviation": "Front. Mar. Sci.",
        "DOI": "10.3389/fmars.2021.781522",
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      "version": 162,
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        "creatorSummary": "Parras‐Berrocal et al.",
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      "data": {
        "key": "BVJN3RV5",
        "version": 162,
        "itemType": "journalArticle",
        "title": "Surface and Intermediate Water Changes Triggering the Future Collapse of Deep Water Formation in the North Western Mediterranean",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Iván M.",
            "lastName": "Parras‐Berrocal"
          },
          {
            "creatorType": "author",
            "firstName": "Rubén",
            "lastName": "Vázquez"
          },
          {
            "creatorType": "author",
            "firstName": "William",
            "lastName": "Cabos"
          },
          {
            "creatorType": "author",
            "firstName": "Dimitry V.",
            "lastName": "Sein"
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            "firstName": "Oscar",
            "lastName": "Álvarez"
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            "firstName": "Miguel",
            "lastName": "Bruno"
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            "creatorType": "author",
            "firstName": "Alfredo",
            "lastName": "Izquierdo"
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        ],
        "abstractNote": "Abstract \n            Deep water formation (DWF) in the North Western Mediterranean (NWMed) is a key feature of Mediterranean overturning circulation. DWF changes under global warming may have an impact on the Mediterranean biogeochemistry and marine ecosystem. Here we analyze the deep convection in the Gulf of Lions (GoL) in a changing climate using a regional climate system model with a horizontal resolution high enough to represent DWF. We find that under the RCP8.5 scenario the NWMed DWF collapses by 2040–2050, leading to a 92% shoaling in the winter mixed layer by the end of the century. The collapse is related to a strengthening of the vertical stratification in the GoL caused by changes in properties of Modified Atlantic Water and Levantine Intermediate Water, being their relative contribution to the increase of the stratification 57.8% and 42.2%, respectively. The stratification changes also alter the Mediterranean overturning circulation and the exchange with the Atlantic. \n          ,  \n            Plain Language Summary \n            The deep water formation (DWF) that takes place in the North Western Mediterranean is one of the main drivers of the Mediterranean circulation. Earth's climate warming may affect the DWF, which could trigger large impacts on the Mediterranean ecosystems. This study analyzes the effect of climate change on the DWF in the Gulf of Lions using a Regional Climate System Model. We find out that under a high greenhouse gasses emission scenario the DWF in the North Western Mediterranean collapses by mid‐21st century. The collapse is mostly driven by changes in the temperature and salinity of surface and intermediate waters, which increases the stratification in the water column, hampering the deep convection. This DWF collapse in the Gulf of Lions reflects on the flows exchanged between the Atlantic Ocean and the Mediterranean Sea through the Strait of Gibraltar, which evidence changes in the Mediterranean circulation. \n          ,  \n            Key Points \n             \n               \n                 \n                   \n                    The North Western Mediterranean deep water formation (DWF) collapse by mid‐21 \n                    st \n                    century under the RCP8.5 scenario \n                   \n                 \n                 \n                  The collapse is mostly driven by changes in the properties of the Modified Atlantic Water and Levantine Intermediate Water \n                 \n                 \n                  The DWF collapse is associated to changes in fluxes through the Strait of Gibraltar",
        "publicationTitle": "Geophysical Research Letters",
        "publisher": "",
        "place": "",
        "date": "2022-02-28",
        "volume": "49",
        "issue": "4",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2021GL095404",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Geophysical Research Letters",
        "DOI": "10.1029/2021GL095404",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021GL095404",
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        "creatorSummary": "De La Vara et al.",
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      "data": {
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        "version": 161,
        "itemType": "journalArticle",
        "title": "Climate change signal in the ocean circulation of the Tyrrhenian Sea",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Alba",
            "lastName": "De La Vara"
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          {
            "creatorType": "author",
            "firstName": "Iván M.",
            "lastName": "Parras-Berrocal"
          },
          {
            "creatorType": "author",
            "firstName": "Alfredo",
            "lastName": "Izquierdo"
          },
          {
            "creatorType": "author",
            "firstName": "Dmitry V.",
            "lastName": "Sein"
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            "creatorType": "author",
            "firstName": "William",
            "lastName": "Cabos"
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        ],
        "abstractNote": "Abstract. The Tyrrhenian Sea plays an important role in the winter deep\nwater formation in the northwestern Mediterranean through the water\nthat enters the Ligurian Sea via the Corsica Channel. Therefore, the study\nof the impact of the changes on the future climate on the Tyrrhenian\ncirculation and its consequences represents an important issue.\nFurthermore, the seasonally dependent Tyrrhenian circulation, which is rich in dynamical mesoscale\nstructures, is dominated by the interplay of local\nclimate and the basin-wide Mediterranean circulation via the water transport\nacross its major straits, and an adequate representation of its features\nrepresents an important modeling challenge. In this work we examine with a\nregionally coupled atmosphere–ocean model the changes in the Tyrrhenian\ncirculation by the end of the 21st century under the RCP8.5 emission\nscenario, their driving mechanisms, and their possible impact on\nwinter convection in the NW Mediterranean. Our model successfully reproduces\nthe main features of the Mediterranean Sea and Tyrrhenian Basin present-day\ncirculation. We find that toward the end of the century the winter cyclonic\nalong-slope stream around the Tyrrhenian Basin becomes weaker. This\nweakening increases the wind work transferred to the mesoscale structures,\nwhich become more intense than at present in winter and summer. We also find\nthat, in the future, the northward water transport across the Corsica\nChannel towards the Liguro-Provençal basin becomes smaller than today.\nAlso, water that flows through this channel presents a stronger\nstratification because of a generalized warming with a freshening of upper\nand a saltening of intermediate waters. Both factors may contribute to the\ninterruption of deep water formation in the Gulf of Lions by the end of the\ncentury.",
        "publicationTitle": "Earth System Dynamics",
        "publisher": "",
        "place": "",
        "date": "2022-02-02",
        "volume": "13",
        "issue": "1",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "303-319",
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        "seriesTitle": "",
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        "journalAbbreviation": "Earth Syst. Dynam.",
        "DOI": "10.5194/esd-13-303-2022",
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        "creatorSummary": "Reale et al.",
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            "lastName": "Reale"
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            "lastName": "Cossarini"
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            "firstName": "Paolo",
            "lastName": "Lazzari"
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            "creatorType": "author",
            "firstName": "Tomas",
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            "firstName": "Simona",
            "lastName": "Masina"
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            "lastName": "Solidoro"
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          }
        ],
        "abstractNote": "Abstract. The projected warming, nutrient decline, changes in net primary\nproduction, deoxygenation and acidification of the global ocean will affect\nmarine ecosystems during the 21st century. Here, the climate change-related\nimpacts on the marine ecosystems of the Mediterranean Sea in the middle and\nat the end of the 21st century are assessed using high-resolution\nprojections of the physical and biogeochemical state of the basin under\nRepresentative Concentration Pathways (RCPs) 4.5 and 8.5. In both scenarios, the analysis shows\nchanges in the dissolved nutrient contents of the euphotic\nand intermediate layers of the basin, net primary production, phytoplankton\nrespiration and carbon stock (including phytoplankton, zooplankton,\nbacterial biomass and particulate organic matter). The projections also show\nuniform surface and subsurface reductions in the oxygen concentration\ndriven by the warming of the water column and by the increase in ecosystem\nrespiration as well as an acidification signal in the upper water column linked\nto the increase in the dissolved inorganic carbon content of the water\ncolumn due to CO2 absorption from the atmosphere and the increase in\nrespiration. The projected changes are stronger in the RCP8.5 (worst-case)\nscenario and, in particular, in the eastern Mediterranean due to the limited\ninfluence of the exchanges in the Strait of Gibraltar in that part of the\nbasin. On the other hand, analysis of the projections under the RCP4.5\nemission scenario shows a tendency to recover the values observed at the\nbeginning of the 21st century for several biogeochemical variables in the\nsecond half of the period. This result supports the idea – possibly based on\nthe existence in a system such as the Mediterranean Sea of a certain buffer\ncapacity and renewal rate – that the implementation of policies for reducing\nCO2 emission could indeed be effective and could contribute to the\nfoundation of ocean sustainability science and policies.",
        "publicationTitle": "Biogeosciences",
        "publisher": "",
        "place": "",
        "date": "2022-09-01",
        "volume": "19",
        "issue": "17",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "4035-4065",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Biogeosciences",
        "DOI": "10.5194/bg-19-4035-2022",
        "citationKey": "",
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        "shortTitle": "",
        "language": "en",
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        "rights": "https://creativecommons.org/licenses/by/4.0/",
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        "dateAdded": "2025-07-24T10:58:04Z",
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        "creatorSummary": "Simon et al.",
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        "version": 156,
        "itemType": "journalArticle",
        "title": "Temperature characteristics over the Carpathian Basin‐projected changes of climate indices at regional and local scale based on bias‐adjusted <span style=\"font-variant:small-caps;\">CORDEX</span> simulations",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Csilla",
            "lastName": "Simon"
          },
          {
            "creatorType": "author",
            "firstName": "Anna",
            "lastName": "Kis"
          },
          {
            "creatorType": "author",
            "firstName": "Csaba Zsolt",
            "lastName": "Torma"
          }
        ],
        "abstractNote": "Abstract \n            The present research focuses on temperature change signals over the Carpathian Basin with a special focus on selected lowland and mountainous subregions. High‐resolution (0.11°) EURO‐ and Med‐CORDEX regional climate model (RCM) simulations of near‐surface air temperature are analysed based on raw and bias‐adjusted data. The mini‐ensemble consists of eight RCM simulations driven by five different general circulation models for the period 1976–2099 under the high‐end RCP8.5 scenario. The high‐resolution, homogenized and quality controlled CARPATCLIM was used as a reference dataset. The selected subregions cover eight municipalities located at diverse altitudes: Bratislava, Budapest, Brassov, Debrecen, Hoverla, Novi Sad, Pécs and Poprad. The following climate indices are assessed: summer days, ice days, frost days, tropical nights, the coldest day, the warmest day, the coldest night and the warmest night. In general, for the reference period (1976–2005) bias‐adjusted RCM data showed almost perfect match with observations. Accordingly, no best performing RCM is found for all indices. The ensemble mean of the bias‐adjusted RCM simulations projects an increase (decrease) of 32% and 112% (18% and 25%) in the annual number of summer days and tropical nights (frost days and ice days) for the period 2021–2050. For 2070–2099 we can expect more frequent tropical nights (about five times) with respect to the reference period and the frequency of frost days can be halved. Profound warming manifests in the increase of the warmest temperature of day of up to 2–3°C by the near future and of 5–7°C by the end of the 21st century, which means the absolute maximum temperature can reach 44–47°C for the period 2070–2099. Our results also highlight the need for bias‐adjusted data adapted by different sectors (human health, agriculture, transport, disaster management, heritage conservation) under the national adaptation strategies.",
        "publicationTitle": "International Journal of Climatology",
        "publisher": "",
        "place": "",
        "date": "2023-06-30",
        "volume": "43",
        "issue": "8",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "3552-3569",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Intl Journal of Climatology",
        "DOI": "10.1002/joc.8045",
        "citationKey": "",
        "url": "https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.8045",
        "accessDate": "2025-07-24T10:57:29Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "0899-8418, 1097-0088",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Temperature characteristics over the Carpathian Basin‐projected changes of climate indices at regional and local scale based on bias‐adjusted <span style=\"font-variant",
        "language": "en",
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        "dateAdded": "2025-07-24T10:57:30Z",
        "dateModified": "2025-07-24T10:57:30Z"
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        "creatorSummary": "Parras-Berrocal et al.",
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      "data": {
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        "version": 153,
        "itemType": "journalArticle",
        "title": "Dense water formation in the eastern Mediterranean under a global warming scenario",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Iván M.",
            "lastName": "Parras-Berrocal"
          },
          {
            "creatorType": "author",
            "firstName": "Rubén",
            "lastName": "Vázquez"
          },
          {
            "creatorType": "author",
            "firstName": "William",
            "lastName": "Cabos"
          },
          {
            "creatorType": "author",
            "firstName": "Dimitry V.",
            "lastName": "Sein"
          },
          {
            "creatorType": "author",
            "firstName": "Oscar",
            "lastName": "Álvarez"
          },
          {
            "creatorType": "author",
            "firstName": "Miguel",
            "lastName": "Bruno"
          },
          {
            "creatorType": "author",
            "firstName": "Alfredo",
            "lastName": "Izquierdo"
          }
        ],
        "abstractNote": "Abstract. Dense water formation in the eastern Mediterranean (EMed)\nis essential in sustaining the Mediterranean overturning circulation.\nChanges in the sources of dense water in the EMed point to changes in the\ncirculation and water properties of the Mediterranean Sea. Here we\nexamine with a regional climate system model the changes in the dense water\nformation in the EMed through the 21st century under the RCP8.5\nemission scenario. Our results show a shift in the dominant source of\nEastern Mediterranean Deep Water (EMDW) from the Adriatic Sea to the Aegean\nSea in the first half of the 21st century. The projected dense water\nformation is reduced by 75 % for the Adriatic Sea, 84 % for the Aegean Sea,\nand 83 % for the Levantine Sea by the end of the century. The reduction in\nthe intensity of deep water formation is related to hydrographic changes in\nsurface and intermediate water that strengthen the vertical stratification,\nhampering vertical mixing and thus convection. Those changes have an\nimpact on the water that flows through the Strait of Sicily to the western\nMediterranean and therefore on the whole Mediterranean system.",
        "publicationTitle": "Ocean Science",
        "publisher": "",
        "place": "",
        "date": "2023-06-28",
        "volume": "19",
        "issue": "3",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "941-952",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Ocean Sci.",
        "DOI": "10.5194/os-19-941-2023",
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        "itemType": "journalArticle",
        "title": "Climate Change Impact on the Future Sea State Conditions in the Black Sea",
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          {
            "creatorType": "author",
            "firstName": "Liliana",
            "lastName": "Rusu"
          }
        ],
        "abstractNote": "",
        "publicationTitle": "Journal of Coastal Research",
        "publisher": "",
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        "date": "2024-12-20",
        "volume": "113",
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        "journalAbbreviation": "Journal of Coastal Research",
        "DOI": "10.2112/JCR-SI113-040.1",
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        "version": 145,
        "itemType": "journalArticle",
        "title": "Extreme Mediterranean cyclones and associated variables in an atmosphere-only vs. an ocean-coupled regional model",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Marco",
            "lastName": "Chericoni"
          },
          {
            "creatorType": "author",
            "firstName": "Giorgia",
            "lastName": "Fosser"
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            "creatorType": "author",
            "firstName": "Emmanouil",
            "lastName": "Flaounas"
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            "creatorType": "author",
            "firstName": "Gianmaria",
            "lastName": "Sannino"
          },
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            "creatorType": "author",
            "firstName": "Alessandro",
            "lastName": "Anav"
          }
        ],
        "abstractNote": "Complex air–sea interactions play a major role in both the variability and the extremes of the Mediterranean climate. This study investigates the differences between an atmosphere-only and an ocean-coupled model in reproducing Mediterranean cyclones and their associated atmospheric fields. To this end, two climate simulations are performed over the Mediterranean basin, both driven by the ECMWF ERA5 reanalysis, for a common 33-year period (1982–2014). The atmosphere standalone simulation uses the Weather Research and Forecasting (WRF) model with prescribed ERA5 sea surface temperature (SST), while in the second experiment WRF is coupled to the Massachusetts Institute of Technology General Circulation Model (MITgcm). A cyclone-tracking algorithm, based on sea level pressure, is applied to both simulations and to the ERA5 reanalysis to assess the model capability to reproduce the climatology of intense, potentially greatly impactful cyclones. Results show that the seasonal and spatial distribution of the 500 most intense cyclones is similarly reproduced between WRF and ERA5, regardless of the use of coupling. The two simulations are then compared in terms of sub-daily fields at the cyclones' maximum intensity. Differences in SST distribution between the models primarily control variations in atmospheric variables, not only at the surface but also throughout the planetary boundary layer, due to the mixing by the turbulent processes, enhanced during intense cyclones. Additionally, this research investigates cyclone effects on ocean properties in the coupled simulation, revealing that strong winds enhance surface heat fluxes and upper-ocean mixing while lowering SST. The analysis shows the ability of the coupled model to coherently represent the dynamic and thermodynamic processes associated with extreme cyclones across both the atmosphere and the ocean.",
        "publicationTitle": "Weather and Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2025-06-18",
        "volume": "6",
        "issue": "2",
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        "partTitle": "",
        "pages": "627-643",
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        "DOI": "10.5194/wcd-6-627-2025",
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        "title": "Unravelling drivers of the future Mediterranean precipitation paradox during cyclones",
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            "firstName": "Marco",
            "lastName": "Chericoni"
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        "abstractNote": "Both global climate models and a high-resolution atmosphere-ocean coupled regional climate model project a drying trend across the Mediterranean region, alongside an increase in cyclone-related precipitation. However, only the high-resolution model captures the physical mechanisms driving these changes across three emission scenarios, namely, enhanced moisture transport processes fuelling cyclone activity. These results highlight the added value of fine-scale modelling for understanding future Mediterranean hydroclimatic extremes.",
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        "language": "en",
        "libraryCatalog": "www.nature.com",
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        "rights": "2025 The Author(s)",
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        "tags": [
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            "type": 1
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            "tag": "Projection and prediction",
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        "creatorSummary": "Ruti et al.",
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        "title": "Med-CORDEX Initiative for Mediterranean Climate Studies",
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            "creatorType": "author",
            "firstName": "F.",
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            "creatorType": "author",
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            "creatorType": "author",
            "firstName": "W.",
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            "firstName": "J.-C.",
            "lastName": "Calvet"
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            "firstName": "D.",
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            "firstName": "C.",
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          },
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            "firstName": "M.",
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          },
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            "firstName": "O.",
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          },
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            "firstName": "G.",
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          },
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          {
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            "firstName": "D.",
            "lastName": "Maciàs"
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          {
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            "firstName": "P.",
            "lastName": "Nabat"
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            "firstName": "B.",
            "lastName": "Önol"
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          {
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            "firstName": "B.",
            "lastName": "Raikovic"
          },
          {
            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Ramage"
          },
          {
            "creatorType": "author",
            "firstName": "F.",
            "lastName": "Sevault"
          },
          {
            "creatorType": "author",
            "firstName": "G.",
            "lastName": "Sannino"
          },
          {
            "creatorType": "author",
            "firstName": "M. V.",
            "lastName": "Struglia"
          },
          {
            "creatorType": "author",
            "firstName": "A.",
            "lastName": "Sanna"
          },
          {
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            "firstName": "C.",
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          },
          {
            "creatorType": "author",
            "firstName": "V.",
            "lastName": "Vervatis"
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        ],
        "abstractNote": "Abstract               The Mediterranean is expected to be one of the most prominent and vulnerable climate change “hotspots” of the twenty-first century, and the physical mechanisms underlying this finding are still not clear. Furthermore, complex interactions and feedbacks involving ocean–atmosphere–land–biogeochemical processes play a prominent role in modulating the climate and environment of the Mediterranean region on a range of spatial and temporal scales. Therefore, it is critical to provide robust climate change information for use in vulnerability–impact–adaptation assessment studies considering the Mediterranean as a fully coupled environmental system. The Mediterranean Coordinated Regional Downscaling Experiment (Med-CORDEX) initiative aims at coordinating the Mediterranean climate modeling community toward the development of fully coupled regional climate simulations, improving all relevant components of the system from atmosphere and ocean dynamics to land surface, hydrology, and biogeochemical processes. The primary goals of Med-CORDEX are to improve understanding of past climate variability and trends and to provide more accurate and reliable future projections, assessing in a quantitative and robust way the added value of using high-resolution and coupled regional climate models. The coordination activities and the scientific outcomes of Med-CORDEX can produce an important framework to foster the development of regional Earth system models in several key regions worldwide.",
        "publicationTitle": "Bulletin of the American Meteorological Society",
        "publisher": "American Meteorological Society",
        "place": "",
        "date": "2016-07-01",
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        "partNumber": "",
        "partTitle": "",
        "pages": "1187-1208",
        "series": "",
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        "DOI": "10.1175/bams-d-14-00176.1",
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        "title": "An analysis of the expected wave conditions in the Mediterranean Sea in the context of global warming",
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        "title": "Response of the Mediterranean Sea Surface Circulation at Various Global Warming Levels: A Multi‐Model Approach",
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            "creatorType": "author",
            "firstName": "I. M.",
            "lastName": "Parras‐Berrocal"
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            "firstName": "R.",
            "lastName": "Waldman"
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            "lastName": "Gonzalez"
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            "lastName": "Ahrens"
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            "creatorType": "author",
            "firstName": "A.",
            "lastName": "Anav"
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            "firstName": "V.",
            "lastName": "Djurdjević"
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            "firstName": "S.",
            "lastName": "Gualdi"
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            "creatorType": "author",
            "firstName": "M. E.",
            "lastName": "Hamouda"
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            "firstName": "L.",
            "lastName": "Li"
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            "firstName": "P.",
            "lastName": "Lionello"
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            "lastName": "Sannino"
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            "creatorType": "author",
            "firstName": "D. V.",
            "lastName": "Sein"
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        "abstractNote": "Abstract \n            Changes in Mediterranean circulation patterns due to global warming may have strong socio‐economic and environmental impacts. We analyze the future evolution of the Mediterranean surface circulation under different levels of global warming by using 28 multi‐decadal simulations from a set of fully coupled and high‐resolution regional climate models of the Med‐CORDEX multi‐model initiative. There is no model agreement for a significant basin‐scale modification of the surface circulation. However significant and robust local circulation changes are identified. In particular, the circulation is expected to shift from cyclonic to predominantly anticyclonic in the northern Balearic, while a strengthening of the cyclonic circulation is expected in the southern Adriatic. Furthermore, our results show an increase in the Mediterranean circulation variability primarily associated with a general increase of meso‐scale activity. Generally, we find a linear increase of the identified changes with global warming levels. \n          ,  \n            Plain Language Summary \n            Changes in the current flow of Mediterranean waters due to global warming could significantly impact the environment and local populations. This study analyzes the impact of climate change on the surface circulation of the Mediterranean Sea. For this purpose, we use a set of regional climate scenarios under different future greenhouse gas emissions, carried out by the Mediterranean modeling community. Under global warming, the models do not agree in predicting robust changes in surface circulation at the basin scale. However, we find significant circulation changes in specific regions. In particular, the circulation in the northern Balearic is expected to shift from counterclockwise to predominantly clockwise, while the counterclockwise circulation in the southern Adriatic is expected to strengthen. Finally, the variability associated with Mediterranean circulation is expected to increase, mainly as a consequence of an enhanced eddy activity. The response of the mean surface circulation and variability to global warming is stronger as the global warming level increases. \n          ,  \n            Key Points \n             \n               \n                 \n                  A large regional climate ensemble to study the future evolution of the Mediterranean Sea has been built for various global warming levels \n                 \n                 \n                  Significant, linear and robust changes in surface circulation are projected for the northern Balearic and southern Adriatic regions \n                 \n                 \n                  Significant, linear and robust increase in the circulation variability is detected in open‐sea regions",
        "publicationTitle": "Geophysical Research Letters",
        "publisher": "",
        "place": "",
        "date": "2024-12-28",
        "volume": "51",
        "issue": "24",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2024GL111695",
        "series": "",
        "seriesTitle": "",
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        "journalAbbreviation": "Geophysical Research Letters",
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        "shortTitle": "Response of the Mediterranean Sea Surface Circulation at Various Global Warming Levels",
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            "firstName": "Rosmeri Porfírio",
            "lastName": "Da Rocha"
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            "creatorType": "author",
            "firstName": "Jesús",
            "lastName": "Fernández"
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            "firstName": "Josipa",
            "lastName": "Milovac"
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            "creatorType": "author",
            "firstName": "Erika",
            "lastName": "Coppola"
          },
          {
            "creatorType": "author",
            "firstName": "Moira",
            "lastName": "Doyle"
          }
        ],
        "abstractNote": "This study is focused on assessing the impacts of different regional climate model targeted simulations performed at convection-permitting resolution (CPRCM) in the AgS crop model yield simulations, evaluating to what extent climate model uncertainty impacts the modeled yield—considering the spatial and temporal variability of crop yield simulations over central-south Brazil. The ensemble of CPRCMs has been produced as part of a Flagship Pilot Study (FPS-SESA) framework, endorsed by the Coordinated Regional Climate Downscaling Experiment (CORDEX). The AgS simulated crop yield exhibited significant differences, in both space and time, among the simulations driven by the different CPRCMs as well as when compared with the simulations driven by observations. Rainfall showed the highest uncertainty in CPRCM simulations, particularly in its spatial variability, whereas modeled temperature and solar radiation were generally more accurate and exhibited smaller spatial and temporal differences. The results evidenced the need for multi-model simulations to account for different uncertainty, from different climate models and climate models parameterizations, in crop yield estimations. Inter-institutional collaboration and coordinated science are key aspects to address these end-to-end studies in South America, since there is no single institution able to produce such CPRCM-CropModels ensembles.",
        "publicationTitle": "AgriEngineering",
        "publisher": "",
        "place": "",
        "date": "2025-04-07",
        "volume": "7",
        "issue": "4",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "108",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "AgriEngineering",
        "DOI": "10.3390/agriengineering7040108",
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        "itemType": "journalArticle",
        "title": "Climate change impacts on pistachio cultivation areas in Iran: a simulation analysis based on CORDEX-MENA multi-model ensembles",
        "creators": [
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            "creatorType": "author",
            "firstName": "Hamzeh",
            "lastName": "Ahmadi"
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          {
            "creatorType": "author",
            "firstName": "Mohammad",
            "lastName": "Baaghideh"
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            "firstName": "Abbasali",
            "lastName": "Dadashi-Roudbari"
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        "abstractNote": "",
        "publicationTitle": "Theoretical and Applied Climatology",
        "publisher": "",
        "place": "",
        "date": "07/2021",
        "volume": "145",
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        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "109-120",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Theor Appl Climatol",
        "DOI": "10.1007/s00704-021-03614-z",
        "citationKey": "",
        "url": "https://link.springer.com/10.1007/s00704-021-03614-z",
        "accessDate": "2025-02-13T08:20:36Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "0177-798X, 1434-4483",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Climate change impacts on pistachio cultivation areas in Iran",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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        "version": 129,
        "itemType": "journalArticle",
        "title": "Northwestern Mediterranean Heavy Precipitation Events in a Warmer Climate: Robust Versus Uncertain Changes With a Large Convection‐Permitting Model Ensemble",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Cécile",
            "lastName": "Caillaud"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Hervé",
            "lastName": "Douville"
          },
          {
            "creatorType": "author",
            "firstName": "Antoinette",
            "lastName": "Alias"
          },
          {
            "creatorType": "author",
            "firstName": "Sophie",
            "lastName": "Bastin"
          },
          {
            "creatorType": "author",
            "firstName": "Susanne",
            "lastName": "Brienen"
          },
          {
            "creatorType": "author",
            "firstName": "Marie‐Estelle",
            "lastName": "Demory"
          },
          {
            "creatorType": "author",
            "firstName": "Andreas",
            "lastName": "Dobler"
          },
          {
            "creatorType": "author",
            "firstName": "Hendrik",
            "lastName": "Feldmann"
          },
          {
            "creatorType": "author",
            "firstName": "Thomas",
            "lastName": "Frisius"
          },
          {
            "creatorType": "author",
            "firstName": "Klaus",
            "lastName": "Goergen"
          },
          {
            "creatorType": "author",
            "firstName": "Elizabeth J.",
            "lastName": "Kendon"
          },
          {
            "creatorType": "author",
            "firstName": "Klaus",
            "lastName": "Keuler"
          },
          {
            "creatorType": "author",
            "firstName": "Geert",
            "lastName": "Lenderink"
          },
          {
            "creatorType": "author",
            "firstName": "Paola",
            "lastName": "Mercogliano"
          },
          {
            "creatorType": "author",
            "firstName": "Emanuela",
            "lastName": "Pichelli"
          },
          {
            "creatorType": "author",
            "firstName": "Pedro M. M.",
            "lastName": "Soares"
          },
          {
            "creatorType": "author",
            "firstName": "Merja H.",
            "lastName": "Tölle"
          },
          {
            "creatorType": "author",
            "firstName": "Hylke",
            "lastName": "De Vries"
          }
        ],
        "abstractNote": "Abstract\n            Taking advantage of a large ensemble of Convection Permitting‐Regional Climate Models on a pan‐Alpine domain and of an object‐oriented dedicated analysis, this study aims to investigate future changes in high‐impact fall Mediterranean Heavy Precipitation Events at high warming levels. We identify a robust multi‐model agreement for an increased frequency from central Italy to the northern Balkans combined with a substantial extension of the affected areas, for a dominant influence of the driving Global Climate Models for projecting changes in the frequency, and for an increase in intensity, area, volume and severity over the French Mediterranean. However, large quantitative uncertainties persist despite the use of convection‐permitting models, with no clear agreement in frequency changes over southeastern France and a large range of plausible changes in events' properties, including for the most intense events. Model diversity and international coordination are still needed to provide policy‐relevant climate information regarding precipitation extremes.\n          , \n            Plain Language Summary\n            Despite growing computational resources and multiple model developments, projecting future changes in the high‐impact Mediterranean Heavy Precipitation Events remains both a numerical and scientific challenge. The present study takes advantage of the recent availability of a relatively large ensemble of high resolution Regional Climate Models (2–3 km), which represent a step change in the simulation of precipitation extremes, and of an object‐oriented approach, allowing us to track the convective precipitating systems on an hourly basis. Looking at future changes in fall Mediterranean Heavy Precipitation Events at high warming levels, we identify a robust multi‐model agreement for an increased frequency from central Italy to the northern Balkans combined with a substantial expansion of the affected areas, and an increase in intensity, area, volume and severity over the French Mediterranean. However, considerable uncertainties remain in terms of frequency over parts of the domain arising from uncertainty in changes in large scale weather patterns, and in terms of degree of intensification for the most intense events. It suggests the need for model diversity and for more coordinated high resolution climate projections with careful selection of different driving global models in order to provide policy‐relevant climate information regarding precipitation extremes.\n          , \n            Key Points\n            \n              \n                \n                  High‐resolution ensemble and object‐oriented approach offer a unique opportunity to study changes in Mediterranean extreme precipitation\n                \n                \n                  Robust agreement is found for an increase in intensity, volume and severity for future French Mediterranean Heavy Precipitation Events\n                \n                \n                  Even at convection‐permitting scale, considerable uncertainty remains regarding the degree of intensification of the most extreme events",
        "publicationTitle": "Geophysical Research Letters",
        "publisher": "",
        "place": "",
        "date": "2024-03-28",
        "volume": "51",
        "issue": "6",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2023GL105143",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Geophysical Research Letters",
        "DOI": "10.1029/2023GL105143",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023GL105143",
        "accessDate": "2024-12-02T18:05:04Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "0094-8276, 1944-8007",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Northwestern Mediterranean Heavy Precipitation Events in a Warmer Climate",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "",
        "extra": "",
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        "dateModified": "2025-06-26T15:01:59Z"
      }
    },
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        "creatorSummary": "Fosser et al.",
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        "version": 128,
        "itemType": "journalArticle",
        "title": "Convection-permitting climate models offer more certain extreme rainfall projections",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Giorgia",
            "lastName": "Fosser"
          },
          {
            "creatorType": "author",
            "firstName": "Marco",
            "lastName": "Gaetani"
          },
          {
            "creatorType": "author",
            "firstName": "Elizabeth J.",
            "lastName": "Kendon"
          },
          {
            "creatorType": "author",
            "firstName": "Marianna",
            "lastName": "Adinolfi"
          },
          {
            "creatorType": "author",
            "firstName": "Nikolina",
            "lastName": "Ban"
          },
          {
            "creatorType": "author",
            "firstName": "Danijel",
            "lastName": "Belušić"
          },
          {
            "creatorType": "author",
            "firstName": "Cécile",
            "lastName": "Caillaud"
          },
          {
            "creatorType": "author",
            "firstName": "João A. M.",
            "lastName": "Careto"
          },
          {
            "creatorType": "author",
            "firstName": "Erika",
            "lastName": "Coppola"
          },
          {
            "creatorType": "author",
            "firstName": "Marie-Estelle",
            "lastName": "Demory"
          },
          {
            "creatorType": "author",
            "firstName": "Hylke",
            "lastName": "De Vries"
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          {
            "creatorType": "author",
            "firstName": "Andreas",
            "lastName": "Dobler"
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          {
            "creatorType": "author",
            "firstName": "Hendrik",
            "lastName": "Feldmann"
          },
          {
            "creatorType": "author",
            "firstName": "Klaus",
            "lastName": "Goergen"
          },
          {
            "creatorType": "author",
            "firstName": "Geert",
            "lastName": "Lenderink"
          },
          {
            "creatorType": "author",
            "firstName": "Emanuela",
            "lastName": "Pichelli"
          },
          {
            "creatorType": "author",
            "firstName": "Christoph",
            "lastName": "Schär"
          },
          {
            "creatorType": "author",
            "firstName": "Pedro M. M.",
            "lastName": "Soares"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Merja H.",
            "lastName": "Tölle"
          }
        ],
        "abstractNote": "Abstract\n            Extreme precipitation events lead to dramatic impacts on society and the situation will worsen under climate change. Decision-makers need reliable estimates of future changes as a basis for effective adaptation strategies, but projections at local scale from regional climate models (RCMs) are highly uncertain. Here we exploit the km-scale convection-permitting multi-model (CPM) ensemble, generated within the FPS Convection project, to provide new understanding of the changes in local precipitation extremes and related uncertainties over the greater Alpine region. The CPM ensemble shows a stronger increase in the fractional contribution from extreme events than the driving RCM ensemble during the summer, when convection dominates. We find that the CPM ensemble substantially reduces the model uncertainties and their contribution to the total uncertainties by more than 50%. We conclude that the more realistic representation of local dynamical processes in the CPMs provides more reliable local estimates of change, which are essential for policymakers to plan adaptation measures.",
        "publicationTitle": "npj Climate and Atmospheric Science",
        "publisher": "",
        "place": "",
        "date": "2024-02-28",
        "volume": "7",
        "issue": "1",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "51",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "npj Clim Atmos Sci",
        "DOI": "10.1038/s41612-024-00600-w",
        "citationKey": "",
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        "language": "en",
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        "creatorSummary": "Molina et al.",
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        "itemType": "journalArticle",
        "title": "The added value of simulated near-surface wind speed over the Alps from a km-scale multimodel ensemble",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "M. O.",
            "lastName": "Molina"
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          {
            "creatorType": "author",
            "firstName": "J. M.",
            "lastName": "Careto"
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          {
            "creatorType": "author",
            "firstName": "C.",
            "lastName": "Gutiérrez"
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          {
            "creatorType": "author",
            "firstName": "E.",
            "lastName": "Sánchez"
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            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Goergen"
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            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Sobolowski"
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          {
            "creatorType": "author",
            "firstName": "E.",
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            "creatorType": "author",
            "firstName": "E.",
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            "firstName": "N.",
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            "creatorType": "author",
            "firstName": "D.",
            "lastName": "Belus̆ić"
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            "firstName": "C.",
            "lastName": "Short"
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            "firstName": "A.",
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            "firstName": "Ø.",
            "lastName": "Hodnebrog"
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            "firstName": "S.",
            "lastName": "Kartsios"
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            "firstName": "G.",
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            "creatorType": "author",
            "firstName": "H.",
            "lastName": "De Vries"
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            "creatorType": "author",
            "firstName": "O.",
            "lastName": "Göktürk"
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            "firstName": "J.",
            "lastName": "Milovac"
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            "firstName": "K.",
            "lastName": "Warrach-Sagi"
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            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Keuler"
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            "creatorType": "author",
            "firstName": "M.",
            "lastName": "Adinolfi"
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            "firstName": "M.",
            "lastName": "Raffa"
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            "firstName": "M.",
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            "firstName": "K.",
            "lastName": "Sieck"
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            "firstName": "S.",
            "lastName": "Bastin"
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          }
        ],
        "abstractNote": "Abstract\n            The advancement of computational resources has allowed researchers to run convection-permitting regional climate model (CPRCM) simulations. A pioneering effort promoting a multimodel ensemble of such simulations is the CORDEX Flagship Pilot Studies (FPS) on “Convective Phenomena over Europe and the Mediterranean” over an extended Alps region. In this study, the Distribution Added Value metric is used to determine the improvement of the representation of all available FPS hindcast simulations for the daily mean near-surface wind speed. The analysis is performed on normalized empirical probability distributions and considers station observation data as the reference. The use of a normalized metric allows for spatial comparison among the different regions (coast and inland), altitudes and seasons. This approach permits a direct assessment of the added value between the CPRCM simulations against their global driving reanalysis (ERA-Interim) and respective coarser resolution regional model counterparts. In general, the results show that CPRCMs add value to their global driving reanalysis or forcing regional model, due to better-resolved topography or through better representation of ocean-land contrasts. However, the nature and magnitude of the improvement in the wind speed representation vary depending on the model, the season, the altitude, or the region. Among seasons, the improvement is usually larger in summer than winter. CPRCMs generally display gains at low and medium-range altitudes. In addition, despite some shortcomings in comparison to ERA-Interim, which can be attributed to the assimilation of wind observations on the coast, the CPRCMs outperform the coarser regional climate models, both along the coast and inland.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2024-06",
        "volume": "62",
        "issue": "6",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "4697-4715",
        "series": "",
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        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-024-07257-4",
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        "version": 127,
        "itemType": "journalArticle",
        "title": "Simulation of summer precipitation diurnal cycles over the Tibetan Plateau at the gray-zone grid spacing for cumulus parameterization",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Tinghai",
            "lastName": "Ou"
          },
          {
            "creatorType": "author",
            "firstName": "Deliang",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Xingchao",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Changgui",
            "lastName": "Lin"
          },
          {
            "creatorType": "author",
            "firstName": "Kun",
            "lastName": "Yang"
          },
          {
            "creatorType": "author",
            "firstName": "Hui-Wen",
            "lastName": "Lai"
          },
          {
            "creatorType": "author",
            "firstName": "Fuqing",
            "lastName": "Zhang"
          }
        ],
        "abstractNote": "Abstract\n            The Tibetan Plateau (TP) is often referred to as the “water tower of Asia” or the “Third Pole”. It remains a challenge for most global and regional models to realistically simulate precipitation, especially its diurnal cycles, over the TP. This study focuses on evaluating the summer (June–August) precipitation diurnal cycles over the TP simulated by the Weather Research and Forecasting (WRF) model. The horizontal resolution used in this study is 9 km, which is within the gray-zone grid spacing that a cumulus parameterization scheme (CU) may or may not be used. We conducted WRF simulations with different cumulus schemes (CU experiments) and a simulation without CU (No_CU experiment). The selected CUs include the Grell-3D Ensemble (Grell), New Simplified Arakawa-Schubert (NSAS), and Multiscale Kain-Fritsch (MSKF). These simulations are compared with both the in-situ observations and satellite products. Results show that the scale-aware MSKF outperforms the other CUs in simulating precipitation in terms of both the mean intensity and diurnal cycles. In addition, the peak time of precipitation intensity is better captured by all the CU experiments than by the No_CU experiment. However, all the CU experiments tend to overestimate the mean precipitation and simulate an earlier peak of precipitation frequency when compared to observations. The frequencies and initiation timings for short-duration (1–3 h) and long-duration (> 6 h) precipitation events are well captured by the No_CU experiment, while these features are poorly reproduced by the CU experiments. The results demonstrate simulation without a CU outperforms those with a CU at the gray-zone spatial resolution in regard to the precipitation diurnal cycles.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "04/2020",
        "volume": "54",
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        "section": "",
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        "pages": "3525-3539",
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        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-020-05181-x",
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        "creatorSummary": "Li et al.",
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        "version": 126,
        "itemType": "journalArticle",
        "title": "Convection‐permitting modelling improves simulated precipitation over the central and eastern Tibetan Plateau",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Puxi",
            "lastName": "Li"
          },
          {
            "creatorType": "author",
            "firstName": "Kalli",
            "lastName": "Furtado"
          },
          {
            "creatorType": "author",
            "firstName": "Tianjun",
            "lastName": "Zhou"
          },
          {
            "creatorType": "author",
            "firstName": "Haoming",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Jian",
            "lastName": "Li"
          }
        ],
        "abstractNote": "Abstract\n            \n              The Tibetan Plateau (TP) plays an essential role in influencing the global climate, and precipitation is one of its most important water‐cycle components. However, accurately simulating precipitation over the TP is a long‐standing challenge. In this study, a convection‐permitting model (CPM; with 4 km grid spacing) that covers the entire TP was conducted and compared to two mesoscale models (MSMs; with model horizontal resolutions of 13 and 35 km) over the course of a summer. The results showed that the two MSMs have notable wet biases over the TP and can overestimate the summer precipitation by more than 4.0 mm·day\n              −1\n              in some parts of the Three Rivers Source region. Moreover, both MSMs have more frequent light rainfall; increasing horizontal resolution of the MSMs alone does not reduce the excessive precipitation. Further investigation reveals that the MSMs have a spurious early‐afternoon rainfall peak, which can be linked to a strong dependence on convective available potential energy (CAPE) that dominates the wet biases. Herein, we highlight that the sensitivity of CAPE to surface temperatures may cause the MSMs to have a spurious hydrological response to surface warming. Users of climate projections should be aware of this potential model uncertainty when investigating future hydrological changes over the TP. In comparison, the CPM removes the spurious afternoon rainfall and thus significantly reduces the wet bias simulated by the MSMs. In addition, the CPM also better depicts the precipitation frequency and intensity, and is therefore a promising tool for dynamic downscaling over the TP.",
        "publicationTitle": "Quarterly Journal of the Royal Meteorological Society",
        "publisher": "",
        "place": "",
        "date": "01/2021",
        "volume": "147",
        "issue": "734",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "341-362",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Quart J Royal Meteoro Soc",
        "DOI": "10.1002/qj.3921",
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        "creatorSummary": "Gao et al.",
        "parsedDate": "2020-07-01",
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      "data": {
        "key": "G98LKZUJ",
        "version": 126,
        "itemType": "journalArticle",
        "title": "Evaluation of a Convection-Permitting Modeling of Precipitation over the Tibetan Plateau and Its Influences on the Simulation of Snow-Cover Fraction",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Yanhong",
            "lastName": "Gao"
          },
          {
            "creatorType": "author",
            "firstName": "Fei",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Yingsha",
            "lastName": "Jiang"
          }
        ],
        "abstractNote": "Abstract\n            Precipitation is a critical input to land surface and hydrology modeling and prediction. Dynamical downscale modeling has added value to representing precipitation, when compared with the performance of coarse-resolution reanalysis and global climate models, over the Tibetan Plateau (TP). Convection-permitting modeling (CPM) may even outperform dynamical downscale models (DDMs). In this study, 4-km CPM results were compared to 28-km DDM results for a snow season (1 October 2013–31 May 2014) over the TP. The CPM- and DDM-simulated precipitation, as well as three merged gridded precipitation datasets, were evaluated against in situ observations below 4800 m. The five precipitation datasets (CPM, DDM, CMFD, COPRPH, and TRMM) showed large differences over the TP with underestimation of TRMM and overestimation of CPM and DDM compared to observations. The most significant difference occurred in the Brahmaputra Grand Canyon. Given the substantial uncertainty in observed precipitation at high mountains, snow cover simulated by a high-resolution land data assimilation system was used to indirectly evaluate the above precipitation data using MODIS observations. Simulated snow-cover fraction was greatly underestimated using all the merged precipitation datasets. However, simulations using the DDM- and CPM-generated precipitation as input outperformed those using other gridded precipitation data, showing lower biases, higher pattern correlations, and closer probability distribution functions than runs driven by the merged precipitation. The findings of this study generally support the assumption that high-resolution CPM-produced precipitation has an added value for use in land surface and hydrology simulations in high-mountain regions without reliable in situ precipitation observations.",
        "publicationTitle": "Journal of Hydrometeorology",
        "publisher": "",
        "place": "",
        "date": "2020-07-01",
        "volume": "21",
        "issue": "7",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "1531-1548",
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        "DOI": "10.1175/JHM-D-19-0277.1",
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        "creatorSummary": "Zhou et al.",
        "parsedDate": "2021",
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      },
      "data": {
        "key": "7LWM5387",
        "version": 125,
        "itemType": "journalArticle",
        "title": "Added value of kilometer-scale modeling over the third pole region: a CORDEX-CPTP pilot study",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Xu",
            "lastName": "Zhou"
          },
          {
            "creatorType": "author",
            "firstName": "Kun",
            "lastName": "Yang"
          },
          {
            "creatorType": "author",
            "firstName": "Lin",
            "lastName": "Ouyang"
          },
          {
            "creatorType": "author",
            "firstName": "Yan",
            "lastName": "Wang"
          },
          {
            "creatorType": "author",
            "firstName": "Yaozhi",
            "lastName": "Jiang"
          },
          {
            "creatorType": "author",
            "firstName": "Xin",
            "lastName": "Li"
          },
          {
            "creatorType": "author",
            "firstName": "Deliang",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Andreas",
            "lastName": "Prein"
          }
        ],
        "abstractNote": "",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "10/2021",
        "volume": "57",
        "issue": "7-8",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "1673-1687",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-021-05653-8",
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        "url": "https://link.springer.com/10.1007/s00382-021-05653-8",
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        "PMCID": "",
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        "shortTitle": "Added value of kilometer-scale modeling over the third pole region",
        "language": "en",
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    },
    {
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      "version": 124,
      "library": {
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          }
        },
        "creatorSummary": "Zhao et al.",
        "parsedDate": "2021-07-16",
        "numChildren": 0
      },
      "data": {
        "key": "QMGJJ65L",
        "version": 124,
        "itemType": "journalArticle",
        "title": "Added Value of a Convection Permitting Model in Simulating Atmospheric Water Cycle Over the Asian Water Tower",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Yin",
            "lastName": "Zhao"
          },
          {
            "creatorType": "author",
            "firstName": "Tianjun",
            "lastName": "Zhou"
          },
          {
            "creatorType": "author",
            "firstName": "Puxi",
            "lastName": "Li"
          },
          {
            "creatorType": "author",
            "firstName": "Kalli",
            "lastName": "Furtado"
          },
          {
            "creatorType": "author",
            "firstName": "Liwei",
            "lastName": "Zou"
          }
        ],
        "abstractNote": "Abstract\n            The Tibetan Plateau (TP) is known as Asian Water Tower and its atmospheric water cycle has been a lasting challenge to climate modeling community. Here, we compare two sets of the Met Office Unified Model simulations—one is a convection‐parameterized version (large‐scale model; LSM) and the other is a convection‐permitting model (CPM) simulation. The added value of the CPM in terms of atmospheric water cycle process is analyzed, including external moisture transport, fraction of atmospheric water vapor converting to precipitation and the precipitation recycle ratio. Results show that the simulated TP precipitation and evaporation for the summer of 2009 is significantly improved in the CPM. First, the overestimation of atmospheric water cycle by LSM is improved in CPM due to a reasonable representation of the fraction of atmospheric water vapor converting to precipitation. The overestimation of precipitation recycle ratio also indicates the LSM generates excessive convection compared to the CPM and therefore has a larger wet bias over the TP. Second, a better simulation of local precipitation has feedback on the circulation. Compared with the LSM, the less moisture convergence in the CPM is dominated by the stronger outflow through the eastern edge of the TP rather than the weaker inflow, implying the upscale effects of the resolved moist convection on the moisture transport over the TP. Our results imply that the CPM is a useful tool in the reproduction of moisture transport and atmospheric water cycle process over the Asian Water Tower and other regions of the world with complex topography.\n          , \n            Plain Language Summary\n            The atmospheric water cycle over the Tibetan Plateau (TP, also as known as the Asian Water Tower) has been a challenge to climate models with convection parameterization. Benefiting from the high enough resolution, convection‐permitting model (CPM) can explicitly resolve the deep convection and therefore reduce the bias related with the convection parameterization scheme. Here, we compare a CPM with its low resolution version that employs convection‐parameterization in simulating atmospheric water cycle process over the TP. We find the precipitation and evaporation over the TP is significantly improved in the CPM. There is more water vapor flowing out of the TP and less water vapor in the atmosphere converting into the precipitation in the CPM, resulting in a reduced wet bias. CPM is free from the constrains of the convection parameterization scheme and therefore depicts the atmospheric water cycle over the TP better.\n          , \n            Key Points\n            \n              \n                \n                  The convection‐permitting model (CPM) better reproduces precipitation over the Tibetan Plateau than convection‐parameterized model (large‐scale model [LSM])\n                \n                \n                  The overestimation of atmospheric water cycle by LSM is improved in CPM simulation\n                \n                \n                  The interaction between large‐scale circulation and convection further reduces moisture convergence and wet bias in the CPM",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
        "publisher": "",
        "place": "",
        "date": "2021-07-16",
        "volume": "126",
        "issue": "13",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2021JD034788",
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        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "JGR Atmospheres",
        "DOI": "10.1029/2021JD034788",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JD034788",
        "accessDate": "2025-06-26T15:00:44Z",
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        "ISSN": "2169-897X, 2169-8996",
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        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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    {
      "key": "PTQ36957",
      "version": 123,
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        "creatorSummary": "Sugimoto et al.",
        "parsedDate": "2021",
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      "data": {
        "key": "PTQ36957",
        "version": 123,
        "itemType": "journalArticle",
        "title": "Cloud-Resolving-Model Simulations of Nocturnal Precipitation over the Himalayan Slopes and Foothills",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Shiori",
            "lastName": "Sugimoto"
          },
          {
            "creatorType": "author",
            "firstName": "Kenichi",
            "lastName": "Ueno"
          },
          {
            "creatorType": "author",
            "firstName": "Hatsuki",
            "lastName": "Fujinami"
          },
          {
            "creatorType": "author",
            "firstName": "Tomoe",
            "lastName": "Nasuno"
          },
          {
            "creatorType": "author",
            "firstName": "Tomonori",
            "lastName": "Sato"
          },
          {
            "creatorType": "author",
            "firstName": "Hiroshi G.",
            "lastName": "Takahashi"
          }
        ],
        "abstractNote": "Abstract\n            A numerical experiment with a 2-km resolution was conducted using the Weather Research and Forecasting (WRF) Model to investigate physical processes driving nocturnal precipitation over the Himalayas during the mature monsoon seasons between 2003 and 2010. The WRF Model simulations of increases in precipitation twice a day, one in the afternoon and another around midnight, over the Himalayan slopes, and of the single nocturnal peak over the Himalayan foothills were reasonably accurate. To understand the synoptic-scale moisture transport and its local-scale convergence generating the nocturnal precipitation, composite analyses were conducted using the reanalysis dataset and model outputs. In the synoptic scale, moisture transport associated with the westward propagation of low pressure systems was found when nocturnal precipitation dominated over the Himalayan slopes. In contrast, moisture was directly provided from the synoptic-scale monsoon westerlies for nocturnal precipitation over the foothills. The model outputs suggested that precipitation occurred on the mountain ridges in the Himalayas during the afternoon and expanded horizontally toward lower-elevation areas through the night. During the nighttime, the downslope wind was caused by radiative cooling at the surface and was intensified by evaporative cooling by hydrometeors in the near-surface layer. As a result, convergence between the downslope wind and the synoptic-scale flow promoted nocturnal precipitation over the Himalayas and to the south, as well as the moisture convergence by orography and/or synoptic-scale circulation patterns. The nocturnal precipitation over the Himalayas was not simulated well when we used the coarse topographic resolution and the smaller number of vertical layers.",
        "publicationTitle": "Journal of Hydrometeorology",
        "publisher": "",
        "place": "",
        "date": "12/2021",
        "volume": "22",
        "issue": "12",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "3171-3188",
        "series": "",
        "seriesTitle": "",
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        "DOI": "10.1175/JHM-D-21-0103.1",
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          "GMUJ8GJB"
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        "dateAdded": "2025-06-26T15:00:28Z",
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        "creatorSummary": "Lin et al.",
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      "data": {
        "key": "GLCFIQLT",
        "version": 122,
        "itemType": "journalArticle",
        "title": "Summer afternoon precipitation associated with wind convergence near the Himalayan glacier fronts",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Changgui",
            "lastName": "Lin"
          },
          {
            "creatorType": "author",
            "firstName": "Kun",
            "lastName": "Yang"
          },
          {
            "creatorType": "author",
            "firstName": "Deliang",
            "lastName": "Chen"
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          {
            "creatorType": "author",
            "firstName": "Nicolas",
            "lastName": "Guyennon"
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          {
            "creatorType": "author",
            "firstName": "Raffaella",
            "lastName": "Balestrini"
          },
          {
            "creatorType": "author",
            "firstName": "Xiaoxin",
            "lastName": "Yang"
          },
          {
            "creatorType": "author",
            "firstName": "Sunil",
            "lastName": "Acharya"
          },
          {
            "creatorType": "author",
            "firstName": "Tinghai",
            "lastName": "Ou"
          },
          {
            "creatorType": "author",
            "firstName": "Tandong",
            "lastName": "Yao"
          },
          {
            "creatorType": "author",
            "firstName": "Gianni",
            "lastName": "Tartari"
          },
          {
            "creatorType": "author",
            "firstName": "Franco",
            "lastName": "Salerno"
          }
        ],
        "abstractNote": "",
        "publicationTitle": "Atmospheric Research",
        "publisher": "",
        "place": "",
        "date": "09/2021",
        "volume": "259",
        "issue": "",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "105658",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Atmospheric Research",
        "DOI": "10.1016/j.atmosres.2021.105658",
        "citationKey": "",
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        "PMCID": "",
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        "shortTitle": "",
        "language": "en",
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        ],
        "relations": {},
        "dateAdded": "2025-06-26T15:00:13Z",
        "dateModified": "2025-06-26T15:00:13Z"
      }
    },
    {
      "key": "MAGFKXFW",
      "version": 121,
      "library": {
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        "name": "WCRP-CORDEX",
        "links": {
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        },
        "creatorSummary": "Kukulies et al.",
        "parsedDate": "2021-12-16",
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      },
      "data": {
        "key": "MAGFKXFW",
        "version": 121,
        "itemType": "journalArticle",
        "title": "The Role of Mesoscale Convective Systems in Precipitation in the Tibetan Plateau Region",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Julia",
            "lastName": "Kukulies"
          },
          {
            "creatorType": "author",
            "firstName": "Deliang",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Julia",
            "lastName": "Curio"
          }
        ],
        "abstractNote": "Abstract\n            \n              Mesoscale convective systems (MCSs) have been identified as an important source of precipitation in the Tibetan Plateau (TP) region. However, the characteristics and structure of MCS‐induced precipitation are not well understood in this location. Infrared (IR) satellite imagery has been used for MCS tracking, but cirrus clouds or cold surfaces can lead to false MCS classification over mountain regions. Here, we combine brightness temperatures from IR imagery with satellite precipitation estimates from GPM IMERG and track MCSs over the TP, at the boundary of the TP (TPB), and in the surrounding lower‐elevation plains (LE), between 2000 and 2019. In most parts of LE and TPB, MCSs produced 50%–80% of the total summer precipitation (60%–90% of summer heavy precipitation), whereas MCSs over the TP account for below 10% of the total summer precipitation (10%–30% of summer heavy precipitation). Our results also show that MCSs that produce the largest amounts of heavy precipitation are characterized by longevity and large extents rather than by high intensities. These are mainly located in the populous areas south and east of the TP. A tracking of meso‐\n              β\n              convective systems over the TP shows that small‐scale convection makes a large contribution to total and heavy precipitation. This suggests that more localized convective systems are important for the regional water cycle over the higher terrain and highlights the importance of convective‐scale modeling to improve our understanding of precipitation dynamics in the TP region.\n            \n          , \n            Plain Language Summary\n            Storm systems that extend over several 100 km can represent a risk to people's lives and livelihoods, as they may lead to flooding, extreme winds and heavy rainfall. The Tibetan Plateau (TP) has received increasing attention over the last few decades because it has experienced drastic changes in the water cycle as a response to global warming. Although it is known that large storm systems develop in the populous surrounding regions of the TP, the rainfall characteristics from these storms are not well understood. It is difficult to identify storm systems in satellite images over high mountain regions, because high clouds and low surface temperatures can give signals similar to those of storm clouds. We therefore used a new method to track large storm systems in satellite images over the TP to clarify their role in the water cycle. Our results show that most of the storms that produce heavy rainfall occurred in the regions south and east of the TP. Storm systems over the TP are generally smaller in size and shorter in duration, which means that climate model simulations at high spatial resolution are needed to further investigate them.\n          , \n            Key Points\n            \n              \n                \n                  Mesoscale convective systems (MCSs) were tracked in the Tibetan Plateau (TP) region for the past two decades\n                \n                \n                  Co‐locations of brightness temperatures with precipitation indicate reduced numbers of MCSs over the TP\n                \n                \n                  Precipitation and large‐scale environments associated with MCSs were compared between different subregions",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
        "publisher": "",
        "place": "",
        "date": "2021-12-16",
        "volume": "126",
        "issue": "23",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2021JD035279",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "JGR Atmospheres",
        "DOI": "10.1029/2021JD035279",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JD035279",
        "accessDate": "2025-06-26T15:00:00Z",
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        "PMCID": "",
        "ISSN": "2169-897X, 2169-8996",
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        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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        "tags": [],
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        ],
        "relations": {},
        "dateAdded": "2025-06-26T15:00:00Z",
        "dateModified": "2025-06-26T15:00:00Z"
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        },
        "creatorSummary": "Prein et al.",
        "parsedDate": "2023",
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      "data": {
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        "version": 120,
        "itemType": "journalArticle",
        "title": "Towards Ensemble-Based Kilometer-Scale Climate Simulations over the Third Pole Region",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Andreas F.",
            "lastName": "Prein"
          },
          {
            "creatorType": "author",
            "firstName": "Nikolina",
            "lastName": "Ban"
          },
          {
            "creatorType": "author",
            "firstName": "Tinghai",
            "lastName": "Ou"
          },
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            "creatorType": "author",
            "firstName": "Jianping",
            "lastName": "Tang"
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            "creatorType": "author",
            "firstName": "Koichi",
            "lastName": "Sakaguchi"
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            "creatorType": "author",
            "firstName": "Emily",
            "lastName": "Collier"
          },
          {
            "creatorType": "author",
            "firstName": "Sanjay",
            "lastName": "Jayanarayanan"
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            "creatorType": "author",
            "firstName": "Lu",
            "lastName": "Li"
          },
          {
            "creatorType": "author",
            "firstName": "Stefan",
            "lastName": "Sobolowski"
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            "creatorType": "author",
            "firstName": "Xingchao",
            "lastName": "Chen"
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            "firstName": "Liwei",
            "lastName": "Zou"
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            "firstName": "Shabeh Ul",
            "lastName": "Hasson"
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            "creatorType": "author",
            "firstName": "Marie",
            "lastName": "Ekstrom"
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            "creatorType": "author",
            "firstName": "Praveen Kumar",
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            "firstName": "Bodo",
            "lastName": "Ahrens"
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            "firstName": "Romilly",
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            "firstName": "Hans Christian",
            "lastName": "Steen-Larsen"
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            "firstName": "Ruby",
            "lastName": "Leung"
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            "creatorType": "author",
            "firstName": "Danijel",
            "lastName": "Belusic"
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            "creatorType": "author",
            "firstName": "Julia",
            "lastName": "Kukulies"
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          {
            "creatorType": "author",
            "firstName": "Julia",
            "lastName": "Curio"
          },
          {
            "creatorType": "author",
            "firstName": "Deliang",
            "lastName": "Chen"
          }
        ],
        "abstractNote": "",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "06/2023",
        "volume": "60",
        "issue": "11-12",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "4055-4081",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-022-06543-3",
        "citationKey": "",
        "url": "https://link.springer.com/10.1007/s00382-022-06543-3",
        "accessDate": "2025-06-26T14:59:43Z",
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        "PMCID": "",
        "ISSN": "0930-7575, 1432-0894",
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        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [],
        "collections": [
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        ],
        "relations": {},
        "dateAdded": "2025-06-26T14:59:43Z",
        "dateModified": "2025-06-26T14:59:43Z"
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        "creatorSummary": "Liu et al.",
        "parsedDate": "2022",
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        "version": 119,
        "itemType": "journalArticle",
        "title": "How well can a convection-permitting-modelling improve the simulation of summer precipitation diurnal cycle over the Tibetan Plateau?",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Zhaoyang",
            "lastName": "Liu"
          },
          {
            "creatorType": "author",
            "firstName": "Yanhong",
            "lastName": "Gao"
          },
          {
            "creatorType": "author",
            "firstName": "Guo",
            "lastName": "Zhang"
          }
        ],
        "abstractNote": "",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "06/2022",
        "volume": "58",
        "issue": "11-12",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "3121-3138",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-021-06090-3",
        "citationKey": "",
        "url": "https://link.springer.com/10.1007/s00382-021-06090-3",
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        "language": "en",
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        "dateAdded": "2025-06-26T14:59:26Z",
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        },
        "creatorSummary": "Li et al.",
        "parsedDate": "2023",
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      },
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        "version": 118,
        "itemType": "journalArticle",
        "title": "Sensitivity of simulated mesoscale convective systems over East Asia to the treatment of convection in a high-resolution GCM",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Puxi",
            "lastName": "Li"
          },
          {
            "creatorType": "author",
            "firstName": "Mark",
            "lastName": "Muetzelfeldt"
          },
          {
            "creatorType": "author",
            "firstName": "Reinhard",
            "lastName": "Schiemann"
          },
          {
            "creatorType": "author",
            "firstName": "Haoming",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Jian",
            "lastName": "Li"
          },
          {
            "creatorType": "author",
            "firstName": "Kalli",
            "lastName": "Furtado"
          },
          {
            "creatorType": "author",
            "firstName": "Moran",
            "lastName": "Zhuang"
          }
        ],
        "abstractNote": "Abstract\n            Mesoscale convective systems (MCSs) downstream of the Tibetan Plateau (TP) exhibit unique precipitation features. These MCSs can have damaging impacts and there is a critical need for improving the representation of MCSs in numerical models. However, most global climate models are typically run at resolutions that are too coarse to reasonably resolve MCSs, and it is still unclear how well higher-resolution global models can reproduce the precipitation characteristics of MCSs. In this study, the sensitivity of MCSs simulated by a global high resolution (~ 10 km), atmosphere-only climate model to different treatments of convection (with and without parametrized convection, and a hybrid representation of convection) have been investigated. The results show that explicit convection (i.e., non-parameterized) can better reproduce the observed pattern of MCS precipitation over the East Asian Summer Monsoon region. In general, explicit convection better simulates the diurnal variability of MCSs over the eastern China, and is able to represent the distinctive diurnal variations of MCS precipitation over complex terrain particularly well, such as the eastern TP and the complex terrain of central-northern China. It is shown that explicit convection is better at simulating the timing of initiation and subsequent propagating features of the MCS, resulting in better diurnal variations and further a better spatial pattern of summer mean MCS precipitation. All three experiments simulate MCS rainfall areas which are notably smaller than those in observations, but with much stronger rainfall intensities, implying that these biases in simulated MCS morphological characteristics are not sensitive to the different treatment of convection.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "05/2023",
        "volume": "60",
        "issue": "9-10",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "2783-2801",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-022-06471-2",
        "citationKey": "",
        "url": "https://link.springer.com/10.1007/s00382-022-06471-2",
        "accessDate": "2025-06-26T14:59:10Z",
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        "ISSN": "0930-7575, 1432-0894",
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        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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        "dateAdded": "2025-06-26T14:59:10Z",
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        "creatorSummary": "Jiang et al.",
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      "data": {
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        "version": 117,
        "itemType": "journalArticle",
        "title": "Characterizing basin-scale precipitation gradients in the Third Pole region using a high-resolution atmospheric simulation-based dataset",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Yaozhi",
            "lastName": "Jiang"
          },
          {
            "creatorType": "author",
            "firstName": "Kun",
            "lastName": "Yang"
          },
          {
            "creatorType": "author",
            "firstName": "Hua",
            "lastName": "Yang"
          },
          {
            "creatorType": "author",
            "firstName": "Hui",
            "lastName": "Lu"
          },
          {
            "creatorType": "author",
            "firstName": "Yingying",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Xu",
            "lastName": "Zhou"
          },
          {
            "creatorType": "author",
            "firstName": "Jing",
            "lastName": "Sun"
          },
          {
            "creatorType": "author",
            "firstName": "Yuan",
            "lastName": "Yang"
          },
          {
            "creatorType": "author",
            "firstName": "Yan",
            "lastName": "Wang"
          }
        ],
        "abstractNote": "Abstract. Altitudinal precipitation gradient plays an important role in the\ninterpolation of precipitation in the Third Pole (TP) region, where the\ntopography is very complex but in situ data are very sparse. This study proves that the altitude dependence of precipitation in the TP can be\nreasonably reproduced by a high-resolution atmospheric simulation-based\ndataset called ERA5_CNN. The precipitation gradients,\nincluding both absolute (APGs) and relative gradients (RPGs), for 388 sub-basins of the TP above 2500 m a.s.l. are calculated based on the\nERA5_CNN. Results show that most sub-basins have positive\nprecipitation gradients, and negative gradients are mainly found along the\nHimalayas, the Hengduan Mountains and the western Kunlun. The annual APG and RPG averaged across all sub-basins of the TP are 0.05 mm d−1 × 100 m−1 and 4.25 % × 100 m−1, respectively. The values of the APG are large in wet seasons but small in dry seasons, while the RPG shows opposite\nvariations. Further analyses demonstrate that the RPGs have negative\ncorrelations with relative humidity but positive correlations with wind\nspeed, likely because dry air tends to reach saturation at high altitudes,\nwhile stronger wind can bring more humid air to high altitudes. In addition,\nwe find that precipitation gradients tend to be positive at small spatial\nscales compared to those at large scales, mainly because local topography\nplays a vital role in determining precipitation distribution at small\nscales. These findings on the spatiotemporal variations of precipitation\ngradients provide useful information for interpolating precipitation in the\nTP region.",
        "publicationTitle": "Hydrology and Earth System Sciences",
        "publisher": "",
        "place": "",
        "date": "2022-09-14",
        "volume": "26",
        "issue": "17",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "4587-4601",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Hydrol. Earth Syst. Sci.",
        "DOI": "10.5194/hess-26-4587-2022",
        "citationKey": "",
        "url": "https://hess.copernicus.org/articles/26/4587/2022/",
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        "ISSN": "1607-7938",
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        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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      "data": {
        "key": "N7AQXJX3",
        "version": 116,
        "itemType": "journalArticle",
        "title": "Regional climate dynamical downscaling over the Tibetan Plateau—From quarter-degree to kilometer-scale",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Yanhong",
            "lastName": "Gao"
          },
          {
            "creatorType": "author",
            "firstName": "Jianwei",
            "lastName": "Xu"
          },
          {
            "creatorType": "author",
            "firstName": "Meng",
            "lastName": "Zhang"
          },
          {
            "creatorType": "author",
            "firstName": "Zhaoyang",
            "lastName": "Liu"
          },
          {
            "creatorType": "author",
            "firstName": "Jingyu",
            "lastName": "Dan"
          }
        ],
        "abstractNote": "",
        "publicationTitle": "Science China Earth Sciences",
        "publisher": "",
        "place": "",
        "date": "12/2022",
        "volume": "65",
        "issue": "12",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "2237-2247",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Sci. China Earth Sci.",
        "DOI": "10.1007/s11430-022-9968-4",
        "citationKey": "",
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        "ISSN": "1674-7313, 1869-1897",
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      "data": {
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        "version": 115,
        "itemType": "journalArticle",
        "title": "Recycling and transport of evapotranspiration over the Tibetan Plateau: Detected by a water vapour tracer method embedded in regional climate model",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Yingge",
            "lastName": "Tang"
          },
          {
            "creatorType": "author",
            "firstName": "Jingyu",
            "lastName": "Dan"
          },
          {
            "creatorType": "author",
            "firstName": "Meng",
            "lastName": "Zhang"
          },
          {
            "creatorType": "author",
            "firstName": "Haojun",
            "lastName": "Jiang"
          },
          {
            "creatorType": "author",
            "firstName": "Yanhong",
            "lastName": "Gao"
          }
        ],
        "abstractNote": "Abstract\n            \n              With an average elevation of 4000 m, the Tibetan Plateau (TP) exerts a global influence on weather and climate. To investigate and quantify the impact of terrestrial evapotranspiration (ET) over the TP on both local and downstream regions, we employed the water vapour tracer (WVT) method integrated into the Weather Research and Forecasting (WRF) model to track the propagation of evaporative moisture across the TP. Based on precipitation landing location, termination of evaporative moisture over the TP was categorized into recycled ET (ET\n              in\n              , which precipitates inside the TP) and moving‐out ET (ET\n              out\n              , which precipitates outside the TP). Our findings reveal that ET\n              in\n              dominates 70% of ET moisture termination over the TP, exhibiting a decrease gradient from eastern to western regions. The majority of ET\n              out\n              spreads eastward with some reaching southward. Seasonal variations indicate that more than 75% of ET recycles during summer, while more ET moves out from TP in spring and autumn. The interplay between convection and advection leads to different reach‐outs for moving‐out ET in summer compared to other seasons: strong convection and diabatic heating plus a relative weak large‐scale advection result in shorter reach‐outs during summer, whereas weaker convection combined with strong advection leads to longer ‐reach‐outs in other seasons. This study enhances our understanding of terrestrial ET moisture transport over the TP as well as its mechanism influencing both local water cycle dynamics and downstream processes.",
        "publicationTitle": "International Journal of Climatology",
        "publisher": "",
        "place": "",
        "date": "2023-12-30",
        "volume": "43",
        "issue": "16",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "7899-7914",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Intl Journal of Climatology",
        "DOI": "10.1002/joc.8298",
        "citationKey": "",
        "url": "https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.8298",
        "accessDate": "2025-06-26T14:58:23Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "0899-8418, 1097-0088",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Recycling and transport of evapotranspiration over the Tibetan Plateau",
        "language": "en",
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    {
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      "version": 114,
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        },
        "creatorSummary": "Singh and Ahrens",
        "parsedDate": "2023-11-05",
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      "data": {
        "key": "U4GH6S9L",
        "version": 114,
        "itemType": "journalArticle",
        "title": "Modeling Lightning Activity in the Third Pole Region: Performance of a km-Scale ICON-CLM Simulation",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Prashant",
            "lastName": "Singh"
          },
          {
            "creatorType": "author",
            "firstName": "Bodo",
            "lastName": "Ahrens"
          }
        ],
        "abstractNote": "The Third Pole region, especially the Himalayas, is a lightning hotspot. Predicting lightning activity in this region is difficult due to the complex monsoon and westerly circulations, as well as the complex orography. Km-scale simulations can explicitly, without parameterization, tackle deep convective phenomena. A year-long (October 2019–September 2020) ICON-CLM simulation was performed with a km-scale horizontal grid spacing of 3.3 km to assess the region’s lightning activity and evaluate the model ICON-CLM. The simulated lightning potential index (LPI) was compared against the lightning proxy CAPE × PREC (CP) derived from ICON-CLM and reanalysis ERA5. In addition, the LPI was evaluated against the TRMM lightning climatology and observed flashes from the International Space Station Lightning Imaging Sensor (ISS-LIS). The LPI reproduced the major spatial, seasonal, and diurnal features of lightning activity as represented in the TRMM climatology. In contrast, the CP from both ICON-CLM and ERA5 performed less well regarding the location of events and the diurnal features. Taking the mean values of the LPI and CP of all the grids within 90 km × 90 km around the ISS-LIS detected lightning event, we found that over 80% of lightning events were recorded using the ICON-CLM simulation. Analysis of individual cases showed that the LPI predicted localization of lightning events better, but flash counts were slightly lower than the CP. Therefore, the combined use of ICON-CLM’s simulated LPI and CP can be a valuable predictor for lightning events over the Third Pole region.",
        "publicationTitle": "Atmosphere",
        "publisher": "",
        "place": "",
        "date": "2023-11-05",
        "volume": "14",
        "issue": "11",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "1655",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Atmosphere",
        "DOI": "10.3390/atmos14111655",
        "citationKey": "",
        "url": "https://www.mdpi.com/2073-4433/14/11/1655",
        "accessDate": "2025-06-26T14:58:09Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "2073-4433",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Modeling Lightning Activity in the Third Pole Region",
        "language": "en",
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        "rights": "https://creativecommons.org/licenses/by/4.0/",
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        "dateAdded": "2025-06-26T14:58:09Z",
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    {
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        "creatorSummary": "Ou et al.",
        "parsedDate": "2023",
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      "data": {
        "key": "FUA5NHG4",
        "version": 113,
        "itemType": "journalArticle",
        "title": "Wet bias of summer precipitation in the northwestern Tibetan Plateau in ERA5 is linked to overestimated lower-level southerly wind over the plateau",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Tinghai",
            "lastName": "Ou"
          },
          {
            "creatorType": "author",
            "firstName": "Deliang",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Jianping",
            "lastName": "Tang"
          },
          {
            "creatorType": "author",
            "firstName": "Changgui",
            "lastName": "Lin"
          },
          {
            "creatorType": "author",
            "firstName": "Xuejia",
            "lastName": "Wang"
          },
          {
            "creatorType": "author",
            "firstName": "Julia",
            "lastName": "Kukulies"
          },
          {
            "creatorType": "author",
            "firstName": "Hui-Wen",
            "lastName": "Lai"
          }
        ],
        "abstractNote": "Abstract\n            The Tibetan Plateau (TP), also called the Third Pole, is considered to be “the world water tower”. The northwestern TP (NWTP), which has an average elevation higher than 4800 m, is an arid region where the summer precipitation is largely overestimated by the ERA5 global reanalysis product. We hypothesize that this wet bias is mainly caused by unrealistic lower-level winds that trigger strong convection over the region; it can be reduced by using a high-resolution regional climate model with a large domain that allows realistically representing interactions between the Westerlies and Asian summer monsoons. Here, downscaling using the Weather Research and Forecasting (WRF) model driven by ERA5 was conducted with a large domain (8°‒50° N, 65°‒125° E) at 9 km for the period 1979‒2019 (WRF9km). Precipitation values from WRF9km and ERA5 were evaluated against satellite observations; compared with ERA5, WRF9km captured the climatological summer precipitation over the NWTP with a much-reduced wet bias. The ERA5 overestimation is mainly caused by excessive convective precipitation, likely linked to strong vertical motions over the NWTP induced by an overestimated lower-level southerly wind.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "09/2023",
        "volume": "61",
        "issue": "5-6",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "2139-2153",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-023-06672-3",
        "citationKey": "",
        "url": "https://link.springer.com/10.1007/s00382-023-06672-3",
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        "PMCID": "",
        "ISSN": "0930-7575, 1432-0894",
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        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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        "dateAdded": "2025-06-26T14:57:58Z",
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        "creatorSummary": "Lin et al.",
        "parsedDate": "2023-08-27",
        "numChildren": 0
      },
      "data": {
        "key": "JGXKGI3V",
        "version": 112,
        "itemType": "journalArticle",
        "title": "Performance of the WRF Model at the Convection‐Permitting Scale in Simulating Snowfall and Lake‐Effect Snow Over the Tibetan Plateau",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Qian",
            "lastName": "Lin"
          },
          {
            "creatorType": "author",
            "firstName": "Jie",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Tinghai",
            "lastName": "Ou"
          },
          {
            "creatorType": "author",
            "firstName": "Hui‐Wen",
            "lastName": "Lai"
          },
          {
            "creatorType": "author",
            "firstName": "Andreas F.",
            "lastName": "Prein"
          },
          {
            "creatorType": "author",
            "firstName": "Deliang",
            "lastName": "Chen"
          }
        ],
        "abstractNote": "Abstract\n            This study investigated the performance of the Weather Research Forecasting (WRF) model at 4‐km horizontal grid spacing in simulating precipitation, 2 m air temperature (T2), snowfall, and lake‐effect snow (October 4–8, 2018) over the Tibetan Plateau (TP). Multiple simulations with different physical parameterization schemes (PPSs), including two planetary boundary layer schemes (Yonsei University and Mellor–Yamada–Janjic), no cumulus and multi‐scale Kain‐Fritsch, two land surface models (Noah and Noah‐MP), and two microphysics schemes (Thompson and Milbrandt), were conducted and compared. Compared with gauge observations, all PPSs simulate mean daily precipitation with mean relative errors (MREs) of 27.7%–53.6%. Besides, spatial correlation coefficients (SCCs) between simulated and observed mean daily precipitation range from 0.56 to 0.71. For simulations of T2, all PPSs perform similarly well, even though the mean cold biases are up to about 3°C. Meanwhile, all PPSs exhibit acceptable performance in simulating spatial distributions of snow depth, snow cover, and snowfall amount, with SCCs of 0.37–0.65 between simulations and observations. However, the WRF simulations significantly overestimate snow depth (∼0.4 cm mean error) and snowfall amount (MREs >372%). The Milbrandt scheme slightly outperforms the other PPSs in simulating snow‐related variable magnitudes. Due to their inaccurate temperature and airflow modeling over the lake surface and its surroundings, none of the WRF simulations well reproduce the characteristics that more snow occurs over the lake and downwind area. Overall, this study provides a useful reference for future convection‐permitting climate modeling of snow or other extreme events when using the WRF model in the TP and other alpine regions.\n          , \n            Plain Language Summary\n            Snow falls frequently in cold seasons, especially in alpine regions. When there is a lake, a very interesting snowfall phenomenon named lake‐effect snow may happen, that is, more snow occurred over the lake and downwind areas. However, the lake‐effect snow caused by large lakes over the Tibetan Plateau (TP) may induce snow disaster events. Thus, conducting reliable simulations of lake‐effect snow events are essential for understanding the mechanism of these particular events over the TP. This study investigated the performance of the numerical model in simulating precipitation, 2 m air temperature (T2), snowfall, and lake‐effect snow (October 4–8, 2018) over the TP. The results show that the simulated precipitation and T2 perform reasonably well, although wet and cold biases are observed. However, the investigated numerical model fails to reproduce the characteristics of this event well, which may be due to the inaccurate temperature and airflow modeling over the lake surface and its surroundings. Continued improvement is needed for future modeling. Hence, this study provides some suggestions for future numerical modeling of lake‐effect snow or other snow events over the TP and other alpine regions.\n          , \n            Key Points\n            \n              \n                \n                  All simulations of the Weather Research Forecasting model can reasonably capture the spatial distributions of precipitation, 2 m air temperature, and snow‐related variables\n                \n                \n                  The Milbrandt scheme slightly outperforms the other physical parameterization schemes (PPSs) in simulating the magnitudes of the snow‐related variables\n                \n                \n                  None of the PPSs reproduce the characteristics of lake‐effect snow well due to their inaccurate temperature and airflow modeling",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
        "publisher": "",
        "place": "",
        "date": "2023-08-27",
        "volume": "128",
        "issue": "16",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2022JD038433",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "JGR Atmospheres",
        "DOI": "10.1029/2022JD038433",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022JD038433",
        "accessDate": "2025-06-26T14:57:45Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "2169-897X, 2169-8996",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [],
        "collections": [
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        ],
        "relations": {},
        "dateAdded": "2025-06-26T14:57:45Z",
        "dateModified": "2025-06-26T14:57:45Z"
      }
    },
    {
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      "version": 111,
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        "creatorSummary": "Li et al.",
        "parsedDate": "2023-08-28",
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      "data": {
        "key": "H9NUV5N4",
        "version": 111,
        "itemType": "journalArticle",
        "title": "Intensification of Mesoscale Convective Systems in the East Asian Rainband Over the Past Two Decades",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Puxi",
            "lastName": "Li"
          },
          {
            "creatorType": "author",
            "firstName": "Fengfei",
            "lastName": "Song"
          },
          {
            "creatorType": "author",
            "firstName": "Haoming",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Jian",
            "lastName": "Li"
          },
          {
            "creatorType": "author",
            "firstName": "Andreas F.",
            "lastName": "Prein"
          },
          {
            "creatorType": "author",
            "firstName": "Wenxia",
            "lastName": "Zhang"
          },
          {
            "creatorType": "author",
            "firstName": "Tianjun",
            "lastName": "Zhou"
          },
          {
            "creatorType": "author",
            "firstName": "Moran",
            "lastName": "Zhuang"
          },
          {
            "creatorType": "author",
            "firstName": "Kalli",
            "lastName": "Furtado"
          },
          {
            "creatorType": "author",
            "firstName": "Mark",
            "lastName": "Muetzelfeldt"
          },
          {
            "creatorType": "author",
            "firstName": "Reinhard",
            "lastName": "Schiemann"
          },
          {
            "creatorType": "author",
            "firstName": "Chao",
            "lastName": "Li"
          }
        ],
        "abstractNote": "Abstract\n            As one of the major producers of extreme precipitation, mesoscale convective systems (MCSs) have received much attention. Recently, MCSs over several hotpots, including the Sahel and US Great Plains, have been found to intensify under global warming. However, relevant studies on the East Asian rainband, another MCS hotpot, are scarce. Here, by using a novel rain‐cell tracking algorithm on a high spatiotemporal resolution satellite precipitation product, we show that both the frequency and intensity of MCSs over the East Asian rainband have increased by 21.8% and 9.8% respectively over the past two decades (2000–2021). The more frequent and intense MCSs contribute nearly three quarters to the total precipitation increase. The changes in MCSs are caused by more frequent favorable large‐scale water vapor‐rich environments that are likely to increase under global warming. The increased frequency and intensity of MCSs have profound impacts on the hydroclimate of East Asia, including producing extreme events such as severe flooding.\n          , \n            Plain Language Summary\n            Mesoscale convective systems (MCSs), accounting for more than half of the total rainfall in the East Asian rainband, frequently generate high‐impact extreme weather events, such as flooding. In the summer of 2020, large regions of East Asia suffered extensive flooding and damage. Therefore, understanding the long‐term changes of MCSs is crucial to gain insights into how extreme weather may change in the context of global warming. However, compared to several other MCS hotpots, the investigation of long‐term changes of MCSs is scarce over East Asia. Here, based on a high spatiotemporal resolution satellite precipitation product and a novel MCS tracking method, we find that MCSs have become more frequent and intense in the East Asian rainband and accounted for three quarters of the total rainfall increase during 2000–2021. It is further found that increases in atmospheric total column water vapor, which is mainly due to increased temperature caused by anthropogenic forcing, leads to more frequent large‐scale water vapor‐rich environments that are responsible for the intensification of MCSs. As water vapor increases with global warming, it is very likely that MCSs will continue to intensify in this region into the future.\n          , \n            Key Points\n            \n              \n                \n                  Mesoscale convective systems (MCSs) have become more frequent and intense in the East Asian rainband over the past two decades\n                \n                \n                  The significant increase of MCS precipitation accounted for three quarters of the total rainfall increase during 2000–2021\n                \n                \n                  The increase of atmospheric total column water vapor, mainly driven by anthropogenic forcing, leads to more favorable environments for MCSs",
        "publicationTitle": "Geophysical Research Letters",
        "publisher": "",
        "place": "",
        "date": "2023-08-28",
        "volume": "50",
        "issue": "16",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2023GL103595",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Geophysical Research Letters",
        "DOI": "10.1029/2023GL103595",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023GL103595",
        "accessDate": "2025-06-26T14:57:33Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "0094-8276, 1944-8007",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [],
        "collections": [
          "GMUJ8GJB"
        ],
        "relations": {},
        "dateAdded": "2025-06-26T14:57:33Z",
        "dateModified": "2025-06-26T14:57:33Z"
      }
    },
    {
      "key": "ZBEQKQTR",
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        "creatorSummary": "Kukulies et al.",
        "parsedDate": "2023-04-12",
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      "data": {
        "key": "ZBEQKQTR",
        "version": 110,
        "itemType": "journalArticle",
        "title": "Mesoscale convective systems in the third pole region: Characteristics, mechanisms and impact on precipitation",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Julia",
            "lastName": "Kukulies"
          },
          {
            "creatorType": "author",
            "firstName": "Hui-Wen",
            "lastName": "Lai"
          },
          {
            "creatorType": "author",
            "firstName": "Julia",
            "lastName": "Curio"
          },
          {
            "creatorType": "author",
            "firstName": "Zhe",
            "lastName": "Feng"
          },
          {
            "creatorType": "author",
            "firstName": "Changgui",
            "lastName": "Lin"
          },
          {
            "creatorType": "author",
            "firstName": "Puxi",
            "lastName": "Li"
          },
          {
            "creatorType": "author",
            "firstName": "Tinghai",
            "lastName": "Ou"
          },
          {
            "creatorType": "author",
            "firstName": "Shiori",
            "lastName": "Sugimoto"
          },
          {
            "creatorType": "author",
            "firstName": "Deliang",
            "lastName": "Chen"
          }
        ],
        "abstractNote": "The climate system of the Third Pole region, including the (TP) and its surroundings, is highly sensitive to global warming. Mesoscale convective systems (MCSs) are understood to be a vital component of this climate system. Driven by the monsoon circulation, surface heating, and large-scale and local moisture supply, they frequently occur during summer and mostly over the central and eastern TP as well as in the downstream regions. Further, MCSs have been highlighted as important contributors to total precipitation as they are efficient rain producers affecting water availability (seasonal precipitation) and potential flood risk (extreme precipitation) in the densely populated downstream regions. The availability of multi-decadal satellite observations and high-resolution climate model datasets has made it possible to study the role of MCSs in the under-observed TP water balance. However, the usage of different methods for MCS identification and the different focuses on specific subregions currently hamper a systematic and consistent assessment of the role played by MCSs and their impact on precipitation over the TP headwaters and its downstream regions. Here, we review observational and model studies of MCSs in the TP region within a common framework to elucidate their main characteristics, underlying mechanisms, and impact on seasonal and extreme precipitation. We also identify major knowledge gaps and provide suggestions on how these can be addressed using recently published high-resolution model datasets. Three important identified knowledge gaps are 1) the feedback of MCSs to other components of the TP climate system, 2) the impact of the changing climate on future MCS characteristics, and 3) the basin-scale assessment of flood and drought risks associated with changes in MCS frequency and intensity. A particularly promising tool to address these knowledge gaps are convection-permitting climate simulations. Therefore, the systematic evaluation of existing historical convection-permitting climate simulations over the TP is an urgent requirement for reliable future climate change assessments.",
        "publicationTitle": "Frontiers in Earth Science",
        "publisher": "",
        "place": "",
        "date": "2023-4-12",
        "volume": "11",
        "issue": "",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "1143380",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Front. Earth Sci.",
        "DOI": "10.3389/feart.2023.1143380",
        "citationKey": "",
        "url": "https://www.frontiersin.org/articles/10.3389/feart.2023.1143380/full",
        "accessDate": "2025-06-26T14:57:17Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "2296-6463",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Mesoscale convective systems in the third pole region",
        "language": "",
        "libraryCatalog": "DOI.org (Crossref)",
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        "dateAdded": "2025-06-26T14:57:17Z",
        "dateModified": "2025-06-26T14:57:17Z"
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    },
    {
      "key": "EA69QAJ8",
      "version": 109,
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        "creatorSummary": "Kukulies et al.",
        "parsedDate": "2023",
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      "data": {
        "key": "EA69QAJ8",
        "version": 109,
        "itemType": "journalArticle",
        "title": "Kilometer-Scale Multimodel and Multiphysics Ensemble Simulations of a Mesoscale Convective System in the Lee of the Tibetan Plateau: Implications for Climate Simulations",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Julia",
            "lastName": "Kukulies"
          },
          {
            "creatorType": "author",
            "firstName": "Andreas F.",
            "lastName": "Prein"
          },
          {
            "creatorType": "author",
            "firstName": "Julia",
            "lastName": "Curio"
          },
          {
            "creatorType": "author",
            "firstName": "Hongyong",
            "lastName": "Yu"
          },
          {
            "creatorType": "author",
            "firstName": "Deliang",
            "lastName": "Chen"
          }
        ],
        "abstractNote": "Abstract\n            Kilometer-scale climate model simulations are useful tools to investigate past and future changes in extreme precipitation, particularly in mountain regions, where convection is influenced by complex topography and land–atmosphere interactions. In this study, we evaluate simulations of a flood-producing mesoscale convective system (MCS) downstream of the Tibetan Plateau (TP) in the Sichuan basin from a kilometer-scale multimodel and multiphysics ensemble. The aim is to better understand the physical processes that need to be correctly simulated for successfully capturing downstream MCS formation. We assess how the ensemble members simulate these processes and how sensitive the simulations are to different model configurations. The preceding vortex evolution over the TP, its interaction with the jet stream, and water vapor advection into the basin are identified as key processes for the MCS formation. Most modeling systems struggle to capture the interaction between the vortex and jet stream, and perturbing the model physics has little impact, while constraining the large-scale flow by spectral nudging improves the simulation. This suggests that an accurate representation of the large-scale forcing is crucial to correctly simulate the MCS and associated precipitation. To verify whether the identified shortcomings systematically affect the MCS climatology in longer-term simulations, we evaluate a 1-yr WRF simulation and find that the seasonal cycle and spatial distribution of MCSs are reasonably well captured and not improved by spectral nudging. While the simulations of the MCS case highlight challenges in extreme precipitation forecasting, we conclude that these challenges do not systematically affect simulated climatological MCS characteristics.\n            \n              Significance Statement\n              Convective storm systems in mountain regions are not well understood, because the spatial resolution in conventional regional climate models is too coarse to resolve relevant processes. Here, we evaluate high-resolution climate model simulations of a storm system on the downwind side of the Tibetan Plateau. Understanding which models and model setups work well to represent this type of storm system is important because high-resolution models can help us understand mechanisms of storm formation in mountain regions and how climate change will affect these. A key finding is that most of the models struggle to capture the selected storm case, while a 1-yr simulation shows that the general statistics of storm systems around the Tibetan Plateau are still reasonably well captured.",
        "publicationTitle": "Journal of Climate",
        "publisher": "",
        "place": "",
        "date": "09/2023",
        "volume": "36",
        "issue": "17",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "5963-5987",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "",
        "DOI": "10.1175/JCLI-D-22-0240.1",
        "citationKey": "",
        "url": "https://journals.ametsoc.org/view/journals/clim/36/17/JCLI-D-22-0240.1.xml",
        "accessDate": "2025-06-26T14:57:02Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "0894-8755, 1520-0442",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Kilometer-Scale Multimodel and Multiphysics Ensemble Simulations of a Mesoscale Convective System in the Lee of the Tibetan Plateau",
        "language": "",
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        "callNumber": "",
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        "dateAdded": "2025-06-26T14:57:02Z",
        "dateModified": "2025-06-26T14:57:02Z"
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    {
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        "creatorSummary": "Ma et al.",
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        "version": 108,
        "itemType": "journalArticle",
        "title": "Added Value of Subdaily Precipitation and Its Extremes During a 15‐Year Convection‐Permitting Simulation Over the Tibetan Plateau",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Mengnan",
            "lastName": "Ma"
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            "creatorType": "author",
            "firstName": "Jianping",
            "lastName": "Tang"
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          {
            "creatorType": "author",
            "firstName": "Tinghai",
            "lastName": "Ou"
          },
          {
            "creatorType": "author",
            "firstName": "Deliang",
            "lastName": "Chen"
          },
          {
            "creatorType": "author",
            "firstName": "Richard",
            "lastName": "Keane"
          }
        ],
        "abstractNote": "Abstract\n            In this study, we conduct a 15‐year long (2008–2022) convection‐permitting simulation over the Tibetan Plateau (TP) using the Weather Research and Forecasting (WRF) model to evaluate its added value compared to ERA5 in characterizing subdaily precipitation and its extremes over the TP. Our findings indicate that the overestimation of precipitation amounts caused by overestimated precipitation frequency in ERA5 is mitigated in WRF mainly through a reduction in light precipitation occurrences. This improvement is likely linked to increased temperatures and decreased relative humidity in the lower troposphere. Moreover, the much earlier precipitation peak in ERA5 is corrected in WRF, a result attributed to differences in related net water vapor transport onto the TP. Additionally, WRF provides a more accurate estimation of the percentage of short‐ and long‐duration precipitation events with only slight underestimations and overestimations, respectively, whereas ERA5 exhibits significantly larger errors. The relatively larger temperature changes in WRF, indicating increased solar heating, are likely responsible for the higher occurrence of short‐duration precipitation events. In contrast, the anticyclonic anomalies and northeastern wind anomalies in WRF reduce the persistence of long‐duration precipitation. Importantly, WRF also produces more realistic timings of precipitation with different durations compared to ERA5. For extreme precipitation, short‐duration extreme events dominate accounting for 50% of extreme precipitation. These events are better reproduced by WRF than by ERA5. Although WRF outperforms ERA5 in estimating the proportion and contribution of extreme events to total precipitation and in capturing their triggering timing, a slight underestimation persists in the simulated proportion and contribution.\n          , \n            Plain Language Summary\n            The Tibetan Plateau (TP) has a significant impact on regional and global weather and climate systems. Precipitation, as a vital component of the climate system, regulates energy flow, water resources, and ecosystems on the TP. Short‐duration intense precipitation is particularly important because it can trigger severe disasters like floods, erosion, and debris flows. Predicting these events is challenging due to their small spatial scale, which coarse‐resolution models cannot accurately capture. This study uses a high‐resolution Weather Research and Forecasting (WRF) model to simulate precipitation over the TP at a 4 km resolution for 15 years (2008–2022). Results show that WRF performs better than the ERA5 data set in capturing subdaily precipitation and its extremes. It reduces overestimations of light precipitation, corrects the timing of precipitation peaks, and more accurately predicts precipitation events of different durations. These improvements are linked to WRF's more detailed representation of atmospheric processes. However, further advancements are needed to improve WRF's ability to simulate extreme short‐duration precipitation events, which are essential for reliable disaster prediction and risk reduction.\n          , \n            Key Points\n            \n              \n                \n                  Weather Research and Forecasting (WRF) shows added value by reducing the light precipitation frequency\n                \n                \n                  The much earlier precipitation peak in ERA5, linked to stronger water vapor transport, is corrected in WRF demonstrating added value\n                \n                \n                  WRF adds value in increasing short‐duration events and decreasing long‐duration events",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
        "publisher": "",
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        "date": "2025-05-28",
        "volume": "130",
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        "pages": "e2025JD043452",
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        "journalAbbreviation": "JGR Atmospheres",
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        "key": "83778XUZ",
        "version": 107,
        "itemType": "preprint",
        "title": "Brief communication: Sharp winter precipitation transition on the southern edge of the Tibetan Plateau",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Titouan",
            "lastName": "Biget"
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          {
            "creatorType": "author",
            "firstName": "Fanny",
            "lastName": "Brun"
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            "creatorType": "author",
            "firstName": "Walter",
            "lastName": "Immerzeel"
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            "creatorType": "author",
            "firstName": "Leo",
            "lastName": "Martin"
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            "creatorType": "author",
            "firstName": "Hamish",
            "lastName": "Pritchard"
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            "creatorType": "author",
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            "firstName": "Yanbin",
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            "creatorType": "author",
            "firstName": "Tandong",
            "lastName": "Yao"
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        ],
        "abstractNote": "Abstract. The Tibetan Plateau is a high-altitude arid region, where limited in-situ precipitation measurements are available. In this communication, we document a strong precipitation gradient at the southern edge of the Paiku Co catchment (southern Tibetan Plateau) from in-situ data and atmospheric model outputs. In particular, we use water pressure time series from proglacial lakes, two automatic weather stations, and data from ERA5-Land reanalysis and CORDEX-FPS-CPTP ensemble. We show that precipitation can vary by one order of magnitude over a short distance of 10 km in a rather smooth terrain throughout the winter and the pre-monsoon season. This large precipitation gradients marks the transition between the great Himalayas ans the Tibetan Plateau.",
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        "creatorSummary": "De La Vara et al.",
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        "title": "Climate change impacts on the tourism sector of the Spanish Mediterranean coast: Medium-term projections for a climate services tool",
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            "firstName": "Alba",
            "lastName": "De La Vara"
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            "lastName": "Khodayar"
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            "firstName": "Maite",
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        "abstractNote": "",
        "publicationTitle": "Climate Services",
        "publisher": "",
        "place": "",
        "date": "2024-04",
        "volume": "34",
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        "partNumber": "",
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        "pages": "100466",
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        "shortTitle": "Climate change impacts on the tourism sector of the Spanish Mediterranean coast",
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        "title": "Evaluation of the convection permitting regional climate model CNRM-AROME on the orographically complex island of Corsica",
        "creators": [
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            "creatorType": "author",
            "firstName": "Virginia Edith",
            "lastName": "Cortés-Hernández"
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            "firstName": "Cécile",
            "lastName": "Caillaud"
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            "lastName": "Brisson"
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            "firstName": "Antoinette",
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            "creatorType": "author",
            "firstName": "Philippe",
            "lastName": "Lucas-Picher"
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        ],
        "abstractNote": "Abstract\n            Meteorological processes over islands with complex orography could be better simulated by Convection Permitting Regional Climate Models (CP-RCMs) thanks to an improved representation of the orography, land–sea contrasts, the combination of coastal and orographic effects, and explicit deep convection. This paper evaluates the ability of the CP-RCM CNRM-AROME (2.5-km horizontal resolution) to simulate relevant meteorological characteristics of the Mediterranean island of Corsica for the 2000–2018 period. These hindcast simulations are compared to their driving Regional Climate Model (RCM) CNRM-ALADIN (12.5-km horizontal resolution and parameterised convection), weather stations for precipitation and wind and gridded precipitation datasets. The main benefits are found in the representation of (i) precipitation extremes resulting mainly from mesoscale convective systems affected by steep mountains during autumn and (ii) the formation of convection through thermally induced diurnal circulations and their interaction with the orography during summer. Simulations of hourly precipitation extremes, the diurnal cycle of precipitation, the distribution of precipitation intensities, the duration of precipitation events, and sea breezes are all improved in the 2.5-km simulations with respect to the RCM, confirming an added value. However, existing differences between model simulations and observations are difficult to explain as the main biases are related to the availability and quality of observations, particularly at high elevations. Overall, better results from the 2.5-km resolution, increase our confidence in CP-RCMs to investigate future climate projections for Corsica and islands with complex terrain.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2024-06",
        "volume": "62",
        "issue": "6",
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        "pages": "4673-4696",
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        "title": "Future distribution of demersal species in a warming Mediterranean sub-basin",
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            "creatorType": "author",
            "firstName": "Diego",
            "lastName": "Panzeri"
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            "lastName": "Carlucci"
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            "creatorType": "author",
            "firstName": "Maria Teresa",
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            "creatorType": "author",
            "firstName": "Walter",
            "lastName": "Zupa"
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            "creatorType": "author",
            "firstName": "Nedo",
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            "firstName": "Simone",
            "lastName": "Libralato"
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        ],
        "abstractNote": "Predicting range shifts of marine species under different CO2 emission scenarios is of paramount importance to understand spatial potential changes in a context of climate change and to ensure appropriate management, in particular in areas where resources are critical to fisheries. Important tools which use environmental variables to infer range limits and species habitat suitability are the species distribution models or SDMs. In this work, we develop an ensemble species distribution model (e-SDM) to assess past, present and future distributions under Representative Concentration Pathway (RCP) 8.5 of nine demersal species and hotspot areas for their two life stages (adult and juvenile) in the Adriatic and Western Ionian Seas in four time windows (1999-2003, 2014-2018, 2031-2035 and 2046-2050). The e-SDM has been developed using three different models (and sub-models), i.e. (i) generalized additive models (GAM), (ii) generalized linear mixed model (GLMM), (iii) gradient boosting machine (GBM), through the combination of density data in terms of numbers of individuals km\n              2\n              and environmental variables. Then, we have determined the changes in the aggregation hotspots and distributions. Finally, we assess gains and losses areas (i.e. occupation area) in the future climate change scenario as new potential range shifts for the nine species and their life stages. The results show that densities of some key commercial species, such as\n              Merluccius merluccius\n              (European hake),\n              Mullus barbatus\n              (red mullet), and\n              Lophius budegassa\n              (anglerfish) will be shifting northwards.",
        "publicationTitle": "Frontiers in Marine Science",
        "publisher": "",
        "place": "",
        "date": "2024-5-22",
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        "date": "2025-04",
        "volume": "194",
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        "shortTitle": "Projections of Future Droughts in Morocco",
        "language": "en",
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      "key": "R3KP5222",
      "version": 89,
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        "creatorSummary": "Ma et al.",
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        "version": 89,
        "itemType": "journalArticle",
        "title": "Evaluating ERA5 Downscaled Simulations Using CCAM: Large‐Scale Circulation Processes and Teleconnections",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Shaoxiu",
            "lastName": "Ma"
          },
          {
            "creatorType": "author",
            "firstName": "Ralph",
            "lastName": "Trancoso"
          },
          {
            "creatorType": "author",
            "firstName": "Jozef",
            "lastName": "Syktus"
          },
          {
            "creatorType": "author",
            "firstName": "Sarah",
            "lastName": "Chapman"
          },
          {
            "creatorType": "author",
            "firstName": "Rohan",
            "lastName": "Eccles"
          }
        ],
        "abstractNote": "Abstract\n            Regional climate projections are critical for climate risk assessments and planning. Previous studies have mostly focused on evaluating climate models for temperature and precipitation biases without identifying the origins of these biases, which remain poorly understood. To address this gap, we conducted a process‐based evaluation to examine the atmospheric processes and physical mechanisms influencing regional climate simulations. We used downscaled data from the Conformal Cubic Atmospheric Model (CCAM) driven by European Centre for Medium‐Range Weather Forecasts Reanalysis v5 (ERA5) over Australia at 10 km spatial resolution. Using ERA5 driven downscaling is useful for model evaluation, as it avoids the inherent biases from initial and boundary conditions present in free running CMIP6 coupled global climate models. We found that CCAM well represented the atmospheric circulation at various vertical levels, performing comparably to or better than previous studies. CCAM also successfully captured key large‐scale circulation features, such as the monsoonal westerly, subtropical jet, and Australian precipitation teleconnections with climate modes of variability (e.g., El Niño‐Southern Oscillation and Indian Ocean Dipole). CCAM underestimated mean sea level pressure in northern Australia, resulting in stronger wind circulation (monsoonal westerly) over ocean north of Australia. This led to dry biases in humidity over northern Australia and contributed to dry biases over the north and northeast coasts. CCAM simulated stronger north‐south wind and moisture flux in central Australia, which may be associated with wet biases over western Queensland. This study highlights CCAM's ability to simulate atmospheric circulation and sheds light on the source of biases.\n          , \n            Plain Language Summary\n            High resolution outputs (e.g., 10 km or higher) from climate models are essential for climate risk adaptation and planning. Climate models have evolved significantly over the past few decades; however, biases remain a concern for scientists and affect stakeholders' decisions. This study evaluates how well the regional simulation from CCAM represents atmospheric processes over Australia and identifies the sources of biases. The use of ERA5 reanalysis data to drive CCAM allows us to evaluate key atmospheric processes and understand the origin of biases from downscaled simulations. CCAM simulations performed well for atmospheric fields and for teleconnections between precipitation and sea surface temperature. However, CCAM underestimated low‐pressure systems over northern Australia, leading to a stronger wind circulation, such as the monsoonal westerly. This has contributed to dry biases in humidity over Australia's northern and northeastern coasts. In addition, we identified stronger moisture flux from the north‐east coast to western Queensland, which resulted in wet precipitation bias.\n          , \n            Key Points\n            \n              \n                \n                  Conformal Cubic Atmospheric Model (CCAM) downscaled ERA5 effectively simulated the spatial and temporal patterns of atmospheric circulation in the Australian region\n                \n                \n                  CCAM downscaled ERA5 simulated well the large‐scale circulation features influencing Australian climate, such as the monsoonal westerly, subtropical jet, and climate modes of variability (El Niño‐Southern Oscillation and Indian Ocean Dipole)\n                \n                \n                  CCAM downscaled ERA5 simulated stronger wind and water fluxes, including stronger monsoonal westerly over the northern Australian region, likely contributing to a dry wet season precipitation bias",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
        "publisher": "",
        "place": "",
        "date": "2025-06-28",
        "volume": "130",
        "issue": "12",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2025JD043566",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "JGR Atmospheres",
        "DOI": "10.1029/2025JD043566",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025JD043566",
        "accessDate": "2025-06-19T09:08:57Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "2169-897X, 2169-8996",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Evaluating ERA5 Downscaled Simulations Using CCAM",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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        "dateAdded": "2025-06-19T09:08:57Z",
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        "creatorSummary": "Arias et al.",
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        "version": 87,
        "itemType": "journalArticle",
        "title": "How well CMIP6 models simulate key boundary conditions affecting South American climate? Insights for regional modeling efforts",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Paola A.",
            "lastName": "Arias"
          },
          {
            "creatorType": "author",
            "firstName": "Isabel C.",
            "lastName": "Correa"
          },
          {
            "creatorType": "author",
            "firstName": "Lluís",
            "lastName": "Fita"
          },
          {
            "creatorType": "author",
            "firstName": "J. Alejandro",
            "lastName": "Martínez"
          },
          {
            "creatorType": "author",
            "firstName": "Camila",
            "lastName": "Alvarez-Garreton"
          },
          {
            "creatorType": "author",
            "firstName": "Lincoln M.",
            "lastName": "Alves"
          },
          {
            "creatorType": "author",
            "firstName": "Juan P.",
            "lastName": "Boisier"
          },
          {
            "creatorType": "author",
            "firstName": "Lenin",
            "lastName": "Campozano"
          },
          {
            "creatorType": "author",
            "firstName": "Jhan-Carlo",
            "lastName": "Espinoza"
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          {
            "creatorType": "author",
            "firstName": "Clementine",
            "lastName": "Junquas"
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          {
            "creatorType": "author",
            "firstName": "Marta",
            "lastName": "Llopart"
          },
          {
            "creatorType": "author",
            "firstName": "Anna A.",
            "lastName": "Sörensson"
          }
        ],
        "abstractNote": "Abstract\n            South America is a large continent with a wide diversity of weather and climate features, including tropical, subtropical and extratropical regimes interacting within a complex landscape. Simulations by global climate models, as well as their downscaling through regional circulation models or statistical methods, are important tools, particularly when assessing the impacts of climate change in the continent. This work evaluates 57 models of the sixth phase of the Coupled Model Intercomparison Project (CMIP6) in their simulation of various spatial patterns and circulation features over South America. Our evaluation aims to provide useful input for the selection of climate models to force regional simulations in South America. Therefore, we focus on spatial fields that are relevant for regional simulations, such as horizontal winds, sea level pressure, sea surface temperature (SST), and moisture and energy fluxes across the domain boundaries. Additionally, we evaluated different circulation features influencing the regional climate of South America that have not been widely evaluated in these models. Several indices are studied to assess the main low-level and upper-level continental-scale circulation patterns, the regional Walker and Hadley cells, the subtropical highs and the boundary SST patterns. Our results show that no single model performs best across all evaluated features, highlighting the importance of in-depth model evaluation for the region concerning the features of interest.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "05/2025",
        "volume": "63",
        "issue": "5",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "231",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-025-07704-w",
        "citationKey": "",
        "url": "https://link.springer.com/10.1007/s00382-025-07704-w",
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        "PMID": "",
        "PMCID": "",
        "ISSN": "0930-7575, 1432-0894",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "How well CMIP6 models simulate key boundary conditions affecting South American climate?",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [],
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        ],
        "relations": {},
        "dateAdded": "2025-05-19T11:01:53Z",
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    },
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        },
        "creatorSummary": "Gutowski Jr. et al.",
        "parsedDate": "2016-11-17",
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      "data": {
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        "version": 85,
        "itemType": "journalArticle",
        "title": "WCRP COordinated Regional Downscaling EXperiment (CORDEX): a diagnostic MIP for CMIP6",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "William J.",
            "lastName": "Gutowski Jr."
          },
          {
            "creatorType": "author",
            "firstName": "Filippo",
            "lastName": "Giorgi"
          },
          {
            "creatorType": "author",
            "firstName": "Bertrand",
            "lastName": "Timbal"
          },
          {
            "creatorType": "author",
            "firstName": "Anne",
            "lastName": "Frigon"
          },
          {
            "creatorType": "author",
            "firstName": "Daniela",
            "lastName": "Jacob"
          },
          {
            "creatorType": "author",
            "firstName": "Hyun-Suk",
            "lastName": "Kang"
          },
          {
            "creatorType": "author",
            "firstName": "Krishnan",
            "lastName": "Raghavan"
          },
          {
            "creatorType": "author",
            "firstName": "Boram",
            "lastName": "Lee"
          },
          {
            "creatorType": "author",
            "firstName": "Christopher",
            "lastName": "Lennard"
          },
          {
            "creatorType": "author",
            "firstName": "Grigory",
            "lastName": "Nikulin"
          },
          {
            "creatorType": "author",
            "firstName": "Eleanor",
            "lastName": "O'Rourke"
          },
          {
            "creatorType": "author",
            "firstName": "Michel",
            "lastName": "Rixen"
          },
          {
            "creatorType": "author",
            "firstName": "Silvina",
            "lastName": "Solman"
          },
          {
            "creatorType": "author",
            "firstName": "Tannecia",
            "lastName": "Stephenson"
          },
          {
            "creatorType": "author",
            "firstName": "Fredolin",
            "lastName": "Tangang"
          }
        ],
        "abstractNote": "Abstract. The COordinated Regional Downscaling EXperiment (CORDEX) is a diagnostic model intercomparison project (MIP) in CMIP6. CORDEX builds on a foundation of previous downscaling intercomparison projects to provide a common framework for downscaling activities around the world. The CORDEX Regional Challenges provide a focus for downscaling research and a basis for making use of CMIP6 global climate model (GCM) output to produce downscaled projected changes in regional climates and assess sources of uncertainties in the projections, all of which can potentially be distilled into climate change information for vulnerability, impacts and adaptation studies. CORDEX Flagship Pilot Studies advance regional downscaling by targeting one or more of the CORDEX Regional Challenges. A CORDEX-CORE framework is planned that will produce a baseline set of homogeneous high-resolution, downscaled projections for regions worldwide. In CMIP6, CORDEX coordinates with ScenarioMIP and is structured to allow cross comparisons with HighResMIP and interaction with the CMIP6 VIACS Advisory Board.",
        "publicationTitle": "Geoscientific Model Development",
        "publisher": "",
        "place": "",
        "date": "2016-11-17",
        "volume": "9",
        "issue": "11",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "4087-4095",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Geosci. Model Dev.",
        "DOI": "10.5194/gmd-9-4087-2016",
        "citationKey": "",
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        "accessDate": "2025-05-15T07:38:06Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "1991-9603",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "WCRP COordinated Regional Downscaling EXperiment (CORDEX)",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "https://creativecommons.org/licenses/by/3.0/",
        "extra": "",
        "tags": [],
        "collections": [
          "UYGT8HAV"
        ],
        "relations": {},
        "dateAdded": "2025-05-15T07:38:06Z",
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        "title": "Evaluation of the Regional Climate Model ALARO‐0 over the CORDEX-Africa Domain",
        "creators": [
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            "firstName": "Laura",
            "lastName": "Decorte"
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            "firstName": "Michiel",
            "lastName": "Van Ginderachter"
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            "firstName": "Erna",
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            "creatorType": "author",
            "firstName": "Sam",
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        "abstractNote": "ABSTRACT\n            High‐resolution climate data is needed for assessing the regional and local impact of climate change. Therefore, in this study, for the first time, a simulation at the resolution of 12.5 km was done over the African domain using the regional climate model ALARO‐0. This simulation was evaluated using multiple reference datasets, including observations, a reanalysis dataset, and other model simulations. In general, the performance of ALARO‐0 in simulating mean monthly and seasonal temperature was comparable to the references. However, ALARO‐0 systematically underestimated the daily temperature range, with biases similar to or higher than those of other regional climate model runs over Africa. Some notable biases were found for precipitation, with a tendency towards overestimation over most African regions. ALARO‐0 is, however, outperforming the other existing model runs in estimating both the timing of the onset and the unimodal shape of the West African monsoon rainfall. A relatively large spread of precipitation values in the observational datasets was observed, especially over highly elevated areas, which makes the evaluation of the models over these regions difficult and less reliable. To conclude, ALARO‐0 shows potential as a regional climate model over Africa, as in general, the performance in simulating mean temperature and precipitation was satisfactory and in accordance with other models and observations. Bias corrections are, however, needed over certain regions or when simulating minimum and maximum temperature, as biases could reach high values.",
        "publicationTitle": "International Journal of Climatology",
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        "pages": "e8895",
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        "shortTitle": "Evaluation of the Regional Climate Model <span style=\"font-variant",
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        "version": 82,
        "itemType": "journalArticle",
        "title": "How Does Regional Convection‐Permitting Modeling Improve the Simulation of the Atmospheric Water Cycle in Spring Over the Tibetan Plateau?",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Liwei",
            "lastName": "Zou"
          },
          {
            "creatorType": "author",
            "firstName": "Tianjun",
            "lastName": "Zhou"
          },
          {
            "creatorType": "author",
            "firstName": "Yin",
            "lastName": "Zhao"
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        ],
        "abstractNote": "Abstract\n            The Tibetan Plateau (TP) provides vital water resources for downstream regions, with spring precipitation contributing considerably to the annual totals over the southeastern TP. The added value of convection‐permitting modeling in simulating the spring climate over the TP is uncertain. Here, we conducted and compared decade‐long regional convection‐permitting (3.3 km) and convection‐parameterized (13.2 km) Icosahedral Nonhydrostatic Weather and Climate Model (ICON) simulations to reproduce the atmospheric water cycle in spring over the TP. Results indicated that 3.3 km mesh ICON (ICON_3.3 km) exhibited notable added value in simulating the spring atmospheric water cycle over the TP. ICON_3.3 km reduced the wet biases of precipitation in the ERA5 reanalysis and 13.2 km mesh ICON (ICON_13.2 km) simulations, and improved the simulation of surface evaporation over the central and eastern TP. The reduction in the simulated precipitation in ICON_3.3 km was primarily followed by a decrease in surface evaporation from March to May, second by a reduction in water vapor flux convergence in May due to decreased water vapor inflow from the southeastern TP. Furthermore, compared to ICON_13.2 km, ICON_3.3 km alleviated the “drizzling” bias, leading to drier surface soils and decreased evaporation, and lead to 3% decrease in the fraction of evaporation converted into precipitation. Sensitivity experiments conducted at resolution of 13.2 km but turning off the convection parameterization demonstrated that both explicit representation of convection and enhanced horizontal resolution were crucial for accurately representing the spring atmospheric water cycle over the TP. Our results highlighted the need to develop kilometer‐scale models for successfully reproducing the climate characteristics across the TP.\n          , \n            Plain Language Summary\n            Climate modeling is evolving toward kilometer‐scale or convective‐permitting model (CPM). The added value of regional CPM in simulating the spring climate over the Tibetan Plateau (TP), known as “Asian Water Tower,” is unknown. Here, we have performed and compared two decade‐long regional climate simulations at two horizontal resolutions: convection permitting (3.3 km) and convection parameterized (13.2 km), to reproduce the atmospheric water cycle in spring over the TP. Results indicated that the CPM reduced the wet biases in the latest reanalysis data and the convection‐parameterized model over the central and eastern TP. The reduction of wet biases was mainly followed by the decreased surface evaporation, which was associated with the alleviation of “drizzling” bias in CPM. We further showed evidences that both explicit representation of convection and enhanced horizontal resolution were crucial for accurately representing the spring climate over the TP. Our findings highlight the importance of developing high‐efficiency kilometer‐scale (<4 km) models for reproducing all the climate characteristics across the TP region.\n          , \n            Key Points\n            \n              \n                \n                  Regional convection permitting model exhibited evident added value in simulating the spring atmospheric water cycle over the Tibetan Plateau (TP)\n                \n                \n                  Reduced precipitation by convective‐permitting model was mainly followed by decrease in surface evaporation, associated with the alleviation of drizzling biases\n                \n                \n                  Both explicit convection and enhanced resolution were crucial for well representing the spring atmospheric water cycle over the TP",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
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        "date": "2024-08-16",
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        "pages": "e2024JD040964",
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        "date": "10/2024",
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        "journalAbbreviation": "Adv. Atmos. Sci.",
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        "date": "05/2024",
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        "pages": "4189-4203",
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        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-024-07126-0",
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        "title": "Discrepancies of kilometer-scale dynamic downscaling over the Tibetan Plateau: underestimation of nocturnal precipitation in summer",
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            "firstName": "Haojun",
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        "title": "The first ensemble of kilometer-scale simulations of a hydrological year over the third pole",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Emily",
            "lastName": "Collier"
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            "creatorType": "author",
            "firstName": "Nikolina",
            "lastName": "Ban"
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            "firstName": "Niklas",
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            "firstName": "Bodo",
            "lastName": "Ahrens"
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            "firstName": "Hui-Wen",
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            "lastName": "Li"
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            "firstName": "Alzbeta",
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            "firstName": "Tinghai",
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            "firstName": "Praveen Kumar",
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            "firstName": "Andreas F.",
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            "firstName": "Koichi",
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            "creatorType": "author",
            "firstName": "Catharina",
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        "abstractNote": "Abstract\n            An accurate understanding of the current and future water cycle over the Third Pole is of great societal importance, given the role this region plays as a water tower for densely populated areas downstream. An emerging and promising approach for skillful climate assessments over regions of complex terrain is kilometer-scale climate modeling. As a foundational step towards such simulations over the Third Pole, we present a multi-model and multi-physics ensemble of kilometer-scale regional simulations for the hydrological year of October 2019 to September 2020. The ensemble consists of 13 simulations performed by an international consortium of 10 research groups, configured with a horizontal grid spacing ranging from 2.2 to 4 km covering all of the Third Pole region. These simulations are driven by ERA5 and are part of a Coordinated Regional Climate Downscaling EXperiment Flagship Pilot Study on Convection-Permitting Third Pole. The simulations are compared against available gridded and in-situ observations and remote-sensing data, to assess the performance and spread of the model ensemble compared to the driving reanalysis during the cold and warm seasons. Although ensemble evaluation is hindered by large differences between the gridded precipitation datasets used as a reference over this region, we show that the ensemble improves on many warm-season precipitation metrics compared with ERA5, including most wet-day and hour statistics, and also adds value in the representation of wet spells in both seasons. As such, the ensemble will provide an invaluable resource for future improvements in the process understanding of the hydroclimate of this remote but important region.",
        "publicationTitle": "Climate Dynamics",
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        "pages": "7501-7518",
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        "version": 74,
        "itemType": "journalArticle",
        "title": "Climate Change Scenarios in the Southern Caribbean region of Central America",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Eric J.",
            "lastName": "Alfaro"
          },
          {
            "creatorType": "author",
            "firstName": "Hugo G.",
            "lastName": "Hidalgo"
          },
          {
            "creatorType": "author",
            "firstName": "Paula Marcela",
            "lastName": "Pérez-Briceño"
          },
          {
            "creatorType": "author",
            "firstName": "Blanca",
            "lastName": "Calderón-Solera"
          }
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        "abstractNote": "Introduction: Warming is already significant in Central America and the Caribbean and may be magnified even further in the future. A decrease in the precipitation is projected, increasing also regional aridity.\nObjective: To study observed and projected latitudinal gradients for precipitation and temperature in three Southern Caribbean locations of Central America: Bluefields (Nicaragua), Limón (Costa Rica) and Bocas del Toro (Panamá) and to characterize their future changes and determine if there are differences or similarities in a north-south direction.\nMethods: Monthly precipitation (P) and temperature (T) data from General Circulation Models from 1979 to 2099, were downloaded from the WRF repository. Data from the selected models from the repository were subjected to a delta-type statistical downscaling to bring them to a resolution of 1 x 1 km. These models are part of the latest generation of the Coupled Model Intercomparison Project-Phase 6 used by the Intergovernmental Panel on Climate Change. The ground-truth data necessary for bias correction were obtained from the ERA5 reanalysis. Monthly P and T data were downloaded from 1979 to 2014 at different native spatial resolutions and climatologies at 1 x 1 km spatial resolution at global scales were obtained from WorldClim data.\nResults: Scenarios show that some regions would go from very humid to humid, based on strong reductions in precipitation and warming at the end of the 21st century. This expected increase in the aridity is going to have impacts on ecology and ecosystem services, agriculture, human consumption due to a water availability reduction per capita and hydroelectric generation.\nConclusions: Generation of high spatial Climate Change scenarios is necessary because Central America is a region characterized by significant topographic complexity, land use variety and spatial occurrence of hydrometeorological disasters. This intrinsic variability suggests that local risk management and planning strategies must be designed with a highly specific approach to each locality or region. This implies that, even in areas geographically near to each other, the measures taken may not necessarily be transferable due to differences in climate projections, as it was found for the three nearby communities in the Southern Central American Caribbean coastal region.",
        "publicationTitle": "Revista de Biología Tropical",
        "publisher": "",
        "place": "",
        "date": "2025-03-04",
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        "partTitle": "",
        "pages": "e64044-e64044",
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        "DOI": "10.15517/rev.biol.trop..v73iS1.64044",
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        "shortTitle": "",
        "language": "en",
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        "callNumber": "",
        "rights": "Copyright (c) 2025",
        "extra": "Number: S1",
        "tags": [
          {
            "tag": "air surface temperature",
            "type": 1
          },
          {
            "tag": "climate change",
            "type": 1
          },
          {
            "tag": "downscaling",
            "type": 1
          },
          {
            "tag": "precipitation",
            "type": 1
          },
          {
            "tag": "scenarios.",
            "type": 1
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        "creatorSummary": "Kim et al.",
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        "version": 72,
        "itemType": "journalArticle",
        "title": "Multimodel GCM-RCM ensemble-based projections of tropical cyclone activities over CORDEX East Asia domain",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Eunji",
            "lastName": "Kim"
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          {
            "creatorType": "author",
            "firstName": "Taehyung",
            "lastName": "Kim"
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            "creatorType": "author",
            "firstName": "Taeho",
            "lastName": "Mun"
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            "creatorType": "author",
            "firstName": "Seok-Woo",
            "lastName": "Shin"
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            "creatorType": "author",
            "firstName": "Minkyu",
            "lastName": "Lee"
          },
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            "creatorType": "author",
            "firstName": "Dong-Hyun",
            "lastName": "Cha"
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          {
            "creatorType": "author",
            "firstName": "Eun-Chul",
            "lastName": "Chang"
          },
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            "creatorType": "author",
            "firstName": "Joong-Bae",
            "lastName": "Ahn"
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            "creatorType": "author",
            "firstName": "Seung-Ki",
            "lastName": "Min"
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            "creatorType": "author",
            "firstName": "Jin-Uk",
            "lastName": "Kim"
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          {
            "creatorType": "author",
            "firstName": "Young-Hwa",
            "lastName": "Byun"
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        "abstractNote": "",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "03/2025",
        "volume": "63",
        "issue": "3",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "143",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-025-07627-6",
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        "accessDate": "2025-03-14T19:13:30Z",
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        "PMCID": "",
        "ISSN": "0930-7575, 1432-0894",
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        "dateAdded": "2025-03-14T19:13:30Z",
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        "creatorSummary": "Lavin‐Gullon et al.",
        "parsedDate": "2021-01",
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      "data": {
        "key": "Z3DZ8LBS",
        "version": 71,
        "itemType": "journalArticle",
        "title": "Internal variability versus multi‐physics uncertainty in a regional climate model",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Alvaro",
            "lastName": "Lavin‐Gullon"
          },
          {
            "creatorType": "author",
            "firstName": "Jesus",
            "lastName": "Fernandez"
          },
          {
            "creatorType": "author",
            "firstName": "Sophie",
            "lastName": "Bastin"
          },
          {
            "creatorType": "author",
            "firstName": "Rita M.",
            "lastName": "Cardoso"
          },
          {
            "creatorType": "author",
            "firstName": "Lluis",
            "lastName": "Fita"
          },
          {
            "creatorType": "author",
            "firstName": "Theodore M.",
            "lastName": "Giannaros"
          },
          {
            "creatorType": "author",
            "firstName": "Klaus",
            "lastName": "Goergen"
          },
          {
            "creatorType": "author",
            "firstName": "Jose Manuel",
            "lastName": "Gutierrez"
          },
          {
            "creatorType": "author",
            "firstName": "Stergios",
            "lastName": "Kartsios"
          },
          {
            "creatorType": "author",
            "firstName": "Eleni",
            "lastName": "Katragkou"
          },
          {
            "creatorType": "author",
            "firstName": "Torge",
            "lastName": "Lorenz"
          },
          {
            "creatorType": "author",
            "firstName": "Josipa",
            "lastName": "Milovac"
          },
          {
            "creatorType": "author",
            "firstName": "Pedro M. M.",
            "lastName": "Soares"
          },
          {
            "creatorType": "author",
            "firstName": "Stefan",
            "lastName": "Sobolowski"
          },
          {
            "creatorType": "author",
            "firstName": "Kirsten",
            "lastName": "Warrach‐Sagi"
          }
        ],
        "abstractNote": "Abstract\n            \n              In a recent study, Coppola\n              et al.\n              assessed the ability of an ensemble of convection‐permitting models (CPM) to simulate deep convection using three case studies. The ensemble exhibited strong discrepancies between models, which were attributed to various factors. In order to shed some light on the issue, we quantify in this article the uncertainty associated to different physical parameterizations from that of using different initial conditions, often referred to as the internal variability. For this purpose, we establish a framework to quantify both signals and we compare them for upper atmospheric circulation and near‐surface variables. The analysis is carried out in the context of the CORDEX Flagship Pilot Study on Convective phenomena at high resolution over Europe and the Mediterranean, in which the intermediate RCM WRF simulations that serve to drive the CPM are run several times with different parameterizations. For atmospheric circulation (geopotential height), the sensitivity induced by multi‐physics and the internal variability show comparable magnitudes and a similar spatial distribution pattern. For 2‐m temperature and 10‐m wind, the simulations with different parameterizations show larger differences than those launched with different initial conditions. The systematic effect over 1 year shows distinct patterns for the multi‐physics and the internal variability. Therefore, the general lesson of this study is that internal variability should be analysed in order to properly distinguish the impact of other sources of uncertainty, especially for short‐term sensitivity simulations.",
        "publicationTitle": "International Journal of Climatology",
        "publisher": "",
        "place": "",
        "date": "2021-01",
        "volume": "41",
        "issue": "S1",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Intl Journal of Climatology",
        "DOI": "10.1002/joc.6717",
        "citationKey": "",
        "url": "https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.6717",
        "accessDate": "2024-12-03T10:02:45Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "0899-8418, 1097-0088",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
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        "dateModified": "2025-03-14T18:35:22Z"
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        "creatorSummary": "Sangelantoni et al.",
        "parsedDate": "2025-01-28",
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      "data": {
        "key": "PGXIYT9Q",
        "version": 68,
        "itemType": "journalArticle",
        "title": "Heatwave Future Changes From an Ensemble of Km‐Scale Regional Climate Simulations Within CORDEX‐FPS Convection",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "L.",
            "lastName": "Sangelantoni"
          },
          {
            "creatorType": "author",
            "firstName": "S. P.",
            "lastName": "Sobolowski"
          },
          {
            "creatorType": "author",
            "firstName": "P. M. M.",
            "lastName": "Soares"
          },
          {
            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Goergen"
          },
          {
            "creatorType": "author",
            "firstName": "R. M.",
            "lastName": "Cardoso"
          },
          {
            "creatorType": "author",
            "firstName": "M.",
            "lastName": "Adinolfi"
          },
          {
            "creatorType": "author",
            "firstName": "A.",
            "lastName": "Dobler"
          },
          {
            "creatorType": "author",
            "firstName": "E.",
            "lastName": "Katragkou"
          },
          {
            "creatorType": "author",
            "firstName": "E.",
            "lastName": "Scoccimarro"
          },
          {
            "creatorType": "author",
            "firstName": "R.",
            "lastName": "Ferretti"
          },
          {
            "creatorType": "author",
            "firstName": "M.",
            "lastName": "Tölle"
          },
          {
            "creatorType": "author",
            "firstName": "H.",
            "lastName": "Feldmann"
          }
        ],
        "abstractNote": "Abstract\n            As global temperatures continue to rise, the impact of heatwaves becomes increasingly striking. The increasing frequency and intensity of these events underscore the critical need to understand regional‐scale mechanisms and feedback, exacerbating or mitigating heatwave magnitude. Here, we use an ensemble of convection‐permitting regional climate models (CPRCMs) to elucidate future heatwave changes at fine spatial scales. We explore whether the recently highlighted drier/warmer signal introduced by CPRCMs improves summer temperature extremes representation and if it modulates future heatwave changes compared to convection‐parameterizing regional climate models (RCMs). In historical runs, CPRCMs show a more realistic representation of summer maximum temperature especially on a ground‐station‐based evaluation. CPRCMs project substantially drier conditions than RCMs. This is associated with a modulation of heatwave temperature changes which show diversified spatial patterns, magnitudes, and signs. CPRCMs ensemble shows an overall reduction in heatwave metrics future changes inter‐model spread compared to the RCMs ensemble.\n          , \n            Plain Language Summary\n            Heatwaves are progressively having a bigger impact on communities and ecosystems. The growing frequency and intensity of these events highlight the need to understand regional mechanisms and feedback that can either worsen or mitigate increasing heatwave trends. We use an ensemble of very high‐resolution regional climate models (CPRCMs, ∼3 km) to explore changes in heatwaves at fine spatial scales. We investigate if the drier and warmer conditions characterizing CPRCMs improve the accuracy of summer temperature extremes and how they affect future heatwave patterns compared to lower‐resolution regional climate models (RCMs). In historical simulations, CPRCMs provide a more accurate representation of summer maximum temperatures, especially on a station‐based evaluation. CPRCMs predict drier conditions than RCMs. This dryness affects heatwave temperature changes according to varied spatial patterns, magnitudes, and trends. Overall, the CPRCMs ensemble shows less uncertainty in predicted heatwave changes compared to the RCMs ensemble.\n          , \n            Key Points\n            \n              \n                \n                  CPRCMs improve summer season maximum temperature representation, especially on a ground‐station‐based evaluation\n                \n                \n                  CPRCMs amplify heatwave maximum temperature changes over the Alps and the northern GAR, combined with the strongest projected drying\n                \n                \n                  CPRCMs ensemble reduces heatwave metrics change signal inter‐model spread except for the dry spell length",
        "publicationTitle": "Geophysical Research Letters",
        "publisher": "",
        "place": "",
        "date": "2025-01-28",
        "volume": "52",
        "issue": "2",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2024GL111147",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Geophysical Research Letters",
        "DOI": "10.1029/2024GL111147",
        "citationKey": "",
        "url": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024GL111147",
        "accessDate": "2025-01-16T15:58:43Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "0094-8276, 1944-8007",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "DOI.org (Crossref)",
        "callNumber": "",
        "rights": "",
        "extra": "",
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        "dateAdded": "2025-03-14T17:59:06Z",
        "dateModified": "2025-03-14T17:59:06Z"
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        "title": "Investigating the representation of heatwaves from an ensemble of km-scale regional climate simulations within CORDEX-FPS convection",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "L.",
            "lastName": "Sangelantoni"
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          {
            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Sobolowski"
          },
          {
            "creatorType": "author",
            "firstName": "T.",
            "lastName": "Lorenz"
          },
          {
            "creatorType": "author",
            "firstName": "Ø.",
            "lastName": "Hodnebrog"
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          {
            "creatorType": "author",
            "firstName": "R. M.",
            "lastName": "Cardoso"
          },
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            "creatorType": "author",
            "firstName": "P. M. M.",
            "lastName": "Soares"
          },
          {
            "creatorType": "author",
            "firstName": "R.",
            "lastName": "Ferretti"
          },
          {
            "creatorType": "author",
            "firstName": "A.",
            "lastName": "Lavín-Gullón"
          },
          {
            "creatorType": "author",
            "firstName": "J.",
            "lastName": "Fernandez"
          },
          {
            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Goergen"
          },
          {
            "creatorType": "author",
            "firstName": "J.",
            "lastName": "Milovac"
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          {
            "creatorType": "author",
            "firstName": "E.",
            "lastName": "Katragkou"
          },
          {
            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Kartsios"
          },
          {
            "creatorType": "author",
            "firstName": "E.",
            "lastName": "Coppola"
          },
          {
            "creatorType": "author",
            "firstName": "E.",
            "lastName": "Pichelli"
          },
          {
            "creatorType": "author",
            "firstName": "M.",
            "lastName": "Adinolfi"
          },
          {
            "creatorType": "author",
            "firstName": "P.",
            "lastName": "Mercogliano"
          },
          {
            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Berthou"
          },
          {
            "creatorType": "author",
            "firstName": "H.",
            "lastName": "de Vries"
          },
          {
            "creatorType": "author",
            "firstName": "A.",
            "lastName": "Dobler"
          },
          {
            "creatorType": "author",
            "firstName": "D.",
            "lastName": "Belušić"
          },
          {
            "creatorType": "author",
            "firstName": "H.",
            "lastName": "Feldmann"
          },
          {
            "creatorType": "author",
            "firstName": "M. H.",
            "lastName": "Tölle"
          },
          {
            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Bastin"
          }
        ],
        "abstractNote": "Heatwaves (HWs) are high-impact phenomena stressing both societies and ecosystems. Their intensity and frequency are expected to increase in a warmer climate over many regions of the world. While these impacts can be wide-ranging, they are potentially influenced by local to regional features such as topography, land cover, and urbanization. Here, we leverage recent advances in the very high-resolution modelling required to elucidate the impacts of heatwaves at these fine scales. Further, we aim to understand how the new generation of km-scale regional climate models (RCMs) modulates the representation of heatwaves over a well-known climate change hot spot. We analyze an ensemble of 15 convection-permitting regional climate model (CPRCM, ~ 2–4 km grid spacing) simulations and their driving, convection-parameterized regional climate model (RCM, ~ 12–15 km grid spacing) simulations from the CORDEX Flagship Pilot Study on Convection. The focus is on the evaluation experiments (2000–2009) and three subdomains with a range of climatic characteristics. During HWs, and generally in the summer season, CPRCMs exhibit warmer and drier conditions than their driving RCMs. Higher maximum temperatures arise due to an altered heat flux partitioning, with daily peaks up to ~ 150 W/m2 larger latent heat in RCMs compared to the CPRCMs. This is driven by a 5–25% lower soil moisture content in the CPRCMs, which is in turn related to longer dry spell length (up to double). It is challenging to ascertain whether these differences represent an improvement. However, a point-scale distribution-based maximum temperature evaluation, suggests that this CPRCMs warmer/drier tendency is likely more realistic compared to the RCMs, with ~ 70% of reference sites indicating an added value compared to the driving RCMs, increasing to 95% when only the distribution right tail is considered. Conversely, a CPRCMs slight detrimental effect is found according to the upscaled grid-to-grid approach over flat areas. Certainly, CPRCMs enhance dry conditions, with knock-on implications for summer season temperature overestimation. Whether this improved physical representation of HWs also has implications for future changes is under investigation.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2023-04-08",
        "volume": "",
        "issue": "",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-023-06769-9",
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        "shortTitle": "",
        "language": "en",
        "libraryCatalog": "Springer Link",
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        "extra": "",
        "tags": [
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            "tag": "Convection-permitting scale",
            "type": 1
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          {
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          {
            "tag": "Multi-model ensemble simulations",
            "type": 1
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            "type": 1
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        "title": "The added value of km-scale simulations to describe temperature over complex orography: the CORDEX FPS-Convection multi-model ensemble runs over the Alps",
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            "firstName": "P. M. M.",
            "lastName": "Soares"
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            "creatorType": "author",
            "firstName": "J. A. M.",
            "lastName": "Careto"
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            "creatorType": "author",
            "firstName": "Rita M.",
            "lastName": "Cardoso"
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            "firstName": "Klaus",
            "lastName": "Goergen"
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            "firstName": "Eleni",
            "lastName": "Katragkou"
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            "firstName": "Stefan",
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            "creatorType": "author",
            "firstName": "Erika",
            "lastName": "Coppola"
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            "firstName": "Nikolina",
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            "firstName": "Ségolène",
            "lastName": "Berthou"
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            "firstName": "Cécile",
            "lastName": "Caillaud"
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            "firstName": "Andreas",
            "lastName": "Dobler"
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            "firstName": "Øivind",
            "lastName": "Hodnebrog"
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            "firstName": "Stergios",
            "lastName": "Kartsios"
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            "creatorType": "author",
            "firstName": "Geert",
            "lastName": "Lenderink"
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          {
            "creatorType": "author",
            "firstName": "T.",
            "lastName": "Lorenz"
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            "firstName": "Josipa",
            "lastName": "Milovac"
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            "creatorType": "author",
            "firstName": "Hendrik",
            "lastName": "Feldmann"
          },
          {
            "creatorType": "author",
            "firstName": "Emanuela",
            "lastName": "Pichelli"
          },
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            "creatorType": "author",
            "firstName": "Heimo",
            "lastName": "Truhetz"
          },
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            "creatorType": "author",
            "firstName": "Marie Estelle",
            "lastName": "Demory"
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            "creatorType": "author",
            "firstName": "Hylke",
            "lastName": "de Vries"
          },
          {
            "creatorType": "author",
            "firstName": "Kirsten",
            "lastName": "Warrach-Sagi"
          },
          {
            "creatorType": "author",
            "firstName": "Klaus",
            "lastName": "Keuler"
          },
          {
            "creatorType": "author",
            "firstName": "Mario",
            "lastName": "Raffa"
          },
          {
            "creatorType": "author",
            "firstName": "Merja",
            "lastName": "Tölle"
          },
          {
            "creatorType": "author",
            "firstName": "Kevin",
            "lastName": "Sieck"
          },
          {
            "creatorType": "author",
            "firstName": "Sophie",
            "lastName": "Bastin"
          }
        ],
        "abstractNote": "The increase in computational resources has enabled the emergence of multi-model ensembles of convection-permitting regional climate model (CPRCM) simulations at very high horizontal resolutions. An example is the CORDEX Flagship Pilot Study on “Convective phenomena at high resolution over Europe and the Mediterranean”, a set of kilometre-scale simulations over an extended Alpine domain. This first-of-its-kind multi-model ensemble, forced by the ERA-Interim reanalysis, can be considered a benchmark dataset. This study uses a recently proposed metric to determine the added value of all the available Flagship Pilot Study hindcast kilometre-scale simulations for maximum and minimum temperature. The analysis is performed using state-of-the-art gridded and station observations as ground truth. This approach directly assesses the added value between the high-resolution CPRCMs against their driving global simulations and coarser resolution RCM counterparts. Overall, models display some modest gains, but also considerable shortcomings are exhibited. In part, these deficiencies can be attributed to the assimilation of temperature observations into ERA-Interim. Although the gains for the use of kilometre-scale resolution for temperature are limited, the improvement of the spatial representation of local atmospheric circulations and land–atmosphere interactions can ultimately lead to gains, particularly in coastal areas.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2022-12-23",
        "volume": "",
        "issue": "",
        "section": "",
        "partNumber": "",
        "partTitle": "",
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        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-022-06593-7",
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            "tag": "Kilometre-scale resolution",
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            "tag": "Maximum and minimum temperature",
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          {
            "tag": "Probability density functions",
            "type": 1
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        "title": "Evaluation of the near-surface wind field over the Adriatic region: local wind characteristics in the convection-permitting model ensemble",
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            "creatorType": "author",
            "firstName": "Andreina",
            "lastName": "Belušić Vozila"
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            "creatorType": "author",
            "firstName": "Danijel",
            "lastName": "Belušić"
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            "firstName": "Maja",
            "lastName": "Telišman Prtenjak"
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            "firstName": "Ivan",
            "lastName": "Güttler"
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            "creatorType": "author",
            "firstName": "Erwan",
            "lastName": "Brisson"
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            "creatorType": "author",
            "firstName": "Marie-Estelle",
            "lastName": "Demory"
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            "creatorType": "author",
            "firstName": "Andreas",
            "lastName": "Dobler"
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            "creatorType": "author",
            "firstName": "Hendrik",
            "lastName": "Feldmann"
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            "firstName": "Øivind",
            "lastName": "Hodnebrog"
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            "firstName": "Torge",
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            "lastName": "Milovac"
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            "firstName": "Pedro M. M.",
            "lastName": "Soares"
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            "firstName": "Merja H.",
            "lastName": "Tölle"
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            "firstName": "Kirsten",
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        "abstractNote": "We present the first evaluation of the wind field from the ensemble of kilometer-scale simulations from the CORDEX-Flagship Pilot Study on convection, with focus on the Adriatic region. Kilometer-scale climate models, also known as convection-permitting models (CPMs), produce a good representation of small-scale topographic features and consequently a more detailed depiction of dynamical and thermal circulations. These enable a reliable view of climate characteristics of the wind field, especially in coastal regions and over complex terrain, such as the Adriatic region. We investigate the (potential) added value introduced by CPMs compared to classical “cumulus-parametrized” regional climate models (RCMs), reanalysis and station observations. For this purpose, wind components at 10 m level are used at 3-hourly frequency. All simulations cover a 10-year period, extending from 2000 to 2009. In terms of the standard statistical parameters such as correlation coefficient and temporal standard deviation, CPMs are very dependent on their parent RCM performance. However, the orographic forcing emphasizes the potential added value and CPMs contain some fine spatial scale variability (i.e., stronger extremes by 25% and more accurate wind direction) that is absent in coarser RCMs and reanalysis. The potential added value is higher in the cold season compared to the warm season due to the proportion of severe wind events. CPMs reproduce well the typical wind regimes along the Adriatic coast, namely Bora and Sirocco. The benefit of using CPMs is especially pronounced in simulating Bora maximum wind speeds in northern Adriatic and Sirocco frequencies in southern Adriatic. Based on our overall analysis, we conclude that CPMs provide added value compared to coarser models, especially in the complex coastal terrain.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2023-02-28",
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        "title": "Using regional warming levels to describe future climate change for services and adaptation: Application to the French reference trajectory for adaptation",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Lola",
            "lastName": "Corre"
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            "creatorType": "author",
            "firstName": "Aurélien",
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            "firstName": "Jean-Michel",
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        "abstractNote": "To describe regional climate change, climate services typically rely on an ensemble of climate model simulations. The development and arrival of observational constraints at regional scales are questioning this approach, as some simulations may not align with warming trajectories estimated by these techniques. This study proposes a methodology for describing future regional changes that combines multiple sources of information: global and regional observational constraints applied to the CMIP6 ensemble, along with existing regional climate model simulations driven by CMIP5. This approach uses Regional Warming Levels (RWLs), mirroring the use of Global Warming Levels (GWLs) in the IPCC AR6. We apply it to mainland France, a region with discrepancies in warming projections between global models, regional models, and observational constraints. Results show that the standard GWL approach produces unrealistically low warming estimates due to overly low regional-to-global warming ratios in some models. Using RWLs allows separation of the annual mean warming estimation (based on observational constraints) from the detailed climate change characteristics (based on regional models). We explore ways to link RWLs and GWLs and assess associated uncertainties. This methodology has been selected to describe future climate change in mainland France, as part of the definition of a reference trajectory for adaptation set by the French government. It can be replicated in other regions and applied to existing or upcoming climate projections to express them in terms of regional warming levels at the national scale.\nPractical implications\nThe French government has recently chosen to adopt a reference trajectory for adaptation to climate change in France, known as the TRACC (Trajectoire de Réchauffement de référence pour l’Adaptation au Changement Climatique). This trajectory defines 3 levels to which the country needs to prepare for, corresponding to +1.5 °C global warming in 2030, +2 °C in 2050 and +3 °C in 2100 compared to 1850–1900. The aim is to establish a single framework for climate change impact studies including climate services, the definition and analysis of adaptation actions, standardizing practices nationwide and facilitating a coherent response to climate challenges. This article describes the methodological choices associated with this trajectory, based on a description of future changes at a fixed regional warming level (RWL) consistent with the chosen global trajectory. For mainland France, the 3 TRACC levels are expressed as an average warming over the country of 2 °C in 2030, 2.7 °C in 2050 and 4 °C in 2100 compared to 1850–1900. These are derived from observational constraints, combining models and observations. The subsequent description of local scale climate change is based on existing regional climate model simulations. The article finally provides a description of some of the changes associated with these 3 regional warming levels.",
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        "title": "Temperature Changes over the CORDEX-MENA Domain in the 21<sup>st</sup> Century Using CMIP5 Data Downscaled with RegCM4: A Focus on the Arabian Peninsula",
        "creators": [
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        "abstractNote": "This paper examined the temperature changes from the COordinated Regional climate Downscaling Experiment (CORDEX) over the Middle East and North Africa (MENA) domain called CORDEX-MENA. The focus is on the Arabian Peninsula in the 21\n              st\n              century, using data from three Coupled Model Intercomparison Project Phase 5 (CMIP5) models downscaled by RegCM4, a regional climate model. The analysis includes surface observations along with RegCM4 simulations and changes in threshold based on extreme temperature at the end of the 21\n              st\n              century relative to the base period (1971–2000). Irrespective of the driving CMIP5 models, the RegCM4 simulations show enhanced future temperature changes for RCP8.5 as compared to RCP4.5. The Arabian Peninsula will warm at a faster rate (0.83°C per decade) as compared to the entire domain (0.79°C per decade) for RCP8.5 during the period 2071–2100. Moreover, the number of hot days (\n              T\n              max\n               ≥ 50°C) (cold nights:\n              T\n              min\n               ≤ 5°C) will increase (decrease) faster in the Arabian Peninsula as compared to the entire domain. This increase (decrease) of hot days (cold nights) will be more prominent in the far future (2071–2100) as compared to the near future (2021–2050) period. Moreover, the future changes in temperature over the main cities in Saudi Arabia are also projected. The RegCM4-based temperature simulation data from two suitable CMIP5 models are recommended as a useful database for further climate-change-related studies.",
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        "publisher": "",
        "place": "",
        "date": "2019-05-20",
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        "title": "Future Global Meteorological Drought Hot Spots: A Study Based on CORDEX Data",
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            "firstName": "Jonathan",
            "lastName": "Spinoni"
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            "lastName": "Barbosa"
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            "firstName": "Tereza",
            "lastName": "Cavazos"
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          {
            "creatorType": "author",
            "firstName": "Jens H.",
            "lastName": "Christensen"
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          {
            "creatorType": "author",
            "firstName": "Ole B.",
            "lastName": "Christensen"
          },
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            "creatorType": "author",
            "firstName": "Erika",
            "lastName": "Coppola"
          },
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            "creatorType": "author",
            "firstName": "Jason",
            "lastName": "Evans"
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            "creatorType": "author",
            "firstName": "Beate",
            "lastName": "Geyer"
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            "firstName": "Filippo",
            "lastName": "Giorgi"
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            "creatorType": "author",
            "firstName": "Panos",
            "lastName": "Hadjinicolaou"
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            "firstName": "Daniela",
            "lastName": "Jacob"
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            "creatorType": "author",
            "firstName": "Jack",
            "lastName": "Katzfey"
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          {
            "creatorType": "author",
            "firstName": "Torben",
            "lastName": "Koenigk"
          },
          {
            "creatorType": "author",
            "firstName": "René",
            "lastName": "Laprise"
          },
          {
            "creatorType": "author",
            "firstName": "Christopher J.",
            "lastName": "Lennard"
          },
          {
            "creatorType": "author",
            "firstName": "M. Levent",
            "lastName": "Kurnaz"
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          {
            "creatorType": "author",
            "firstName": "Delei",
            "lastName": "Li"
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            "creatorType": "author",
            "firstName": "Marta",
            "lastName": "Llopart"
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            "creatorType": "author",
            "firstName": "Niall",
            "lastName": "McCormick"
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            "creatorType": "author",
            "firstName": "Gustavo",
            "lastName": "Naumann"
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            "firstName": "Grigory",
            "lastName": "Nikulin"
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            "firstName": "Tugba",
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            "firstName": "Hans-Juergen",
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          {
            "creatorType": "author",
            "firstName": "Rosmeri",
            "lastName": "Porfirio Da Rocha"
          },
          {
            "creatorType": "author",
            "firstName": "Burkhardt",
            "lastName": "Rockel"
          },
          {
            "creatorType": "author",
            "firstName": "Silvina A.",
            "lastName": "Solman"
          },
          {
            "creatorType": "author",
            "firstName": "Jozef",
            "lastName": "Syktus"
          },
          {
            "creatorType": "author",
            "firstName": "Fredolin",
            "lastName": "Tangang"
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          {
            "creatorType": "author",
            "firstName": "Claas",
            "lastName": "Teichmann"
          },
          {
            "creatorType": "author",
            "firstName": "Robert",
            "lastName": "Vautard"
          },
          {
            "creatorType": "author",
            "firstName": "Jürgen V.",
            "lastName": "Vogt"
          },
          {
            "creatorType": "author",
            "firstName": "Katja",
            "lastName": "Winger"
          },
          {
            "creatorType": "author",
            "firstName": "George",
            "lastName": "Zittis"
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            "firstName": "Alessandro",
            "lastName": "Dosio"
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        "abstractNote": "Abstract\n            Two questions motivated this study: 1) Will meteorological droughts become more frequent and severe during the twenty-first century? 2) Given the projected global temperature rise, to what extent does the inclusion of temperature (in addition to precipitation) in drought indicators play a role in future meteorological droughts? To answer, we analyzed the changes in drought frequency, severity, and historically undocumented extreme droughts over 1981–2100, using the standardized precipitation index (SPI; including precipitation only) and standardized precipitation-evapotranspiration index (SPEI; indirectly including temperature), and under two representative concentration pathways (RCP4.5 and RCP8.5). As input data, we employed 103 high-resolution (0.44°) simulations from the Coordinated Regional Climate Downscaling Experiment (CORDEX), based on a combination of 16 global circulation models (GCMs) and 20 regional circulation models (RCMs). This is the first study on global drought projections including RCMs based on such a large ensemble of RCMs. Based on precipitation only, ~15% of the global land is likely to experience more frequent and severe droughts during 2071–2100 versus 1981–2010 for both scenarios. This increase is larger (~47% under RCP4.5, ~49% under RCP8.5) when precipitation and temperature are used. Both SPI and SPEI project more frequent and severe droughts, especially under RCP8.5, over southern South America, the Mediterranean region, southern Africa, southeastern China, Japan, and southern Australia. A decrease in drought is projected for high latitudes in Northern Hemisphere and Southeast Asia. If temperature is included, drought characteristics are projected to increase over North America, Amazonia, central Europe and Asia, the Horn of Africa, India, and central Australia; if only precipitation is considered, they are found to decrease over those areas.",
        "publicationTitle": "Journal of Climate",
        "publisher": "",
        "place": "",
        "date": "2020-05-01",
        "volume": "33",
        "issue": "9",
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        "partTitle": "",
        "pages": "3635-3661",
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        "DOI": "10.1175/JCLI-D-19-0084.1",
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        "shortTitle": "Future Global Meteorological Drought Hot Spots",
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        "title": "Future Holiday Climate Index (HCI) Performance of Urban and Beach Destinations in the Mediterranean",
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            "firstName": "O. Cenk",
            "lastName": "Demiroglu"
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            "firstName": "F. Sibel",
            "lastName": "Saygili-Araci"
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            "firstName": "Aytac",
            "lastName": "Pacal"
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          {
            "creatorType": "author",
            "firstName": "C. Michael",
            "lastName": "Hall"
          },
          {
            "creatorType": "author",
            "firstName": "M. Levent",
            "lastName": "Kurnaz"
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        "abstractNote": "Tourism is a major socioeconomic contributor to established and emerging destinations in the Mediterranean region. Recent studies introducing the Holiday Climate Index (HCI) highlight the significance of climate as a factor in sustaining the competitiveness of coastal and urban destinations. The aim of this study is to assess the future HCI performance of urban and beach destinations in the greater Mediterranean region. For this purpose, HCI scores for the reference (1971–2000) and future (2021–2050, 2070–2099) periods were computed with the use of two latest greenhouse gas concentration trajectories, RCP 4.5 and 8.5, based on the Middle East North Africa (MENA) Coordinated Regional Downscaling Experiment (CORDEX) domain and data. The outputs were adjusted to a 500 m resolution via the use of lapse rate corrections that extrapolate the climate model topography against a resampled digital elevation model. All periodic results were seasonally aggregated and visualized on a (web) geographical information system (GIS). The web version of the GIS also allowed for a basic climate service where any user can search her/his place of interest overlaid with index ratings. Exposure levels are revealed at the macro scale while sensitivity is discussed through a validation of the climatic outputs against visitation data for one of Mediterranean’s leading destinations, Antalya.",
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        "title": "Future Seasonal Drought Conditions over the CORDEX-MENA/Arab Domain",
        "creators": [
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            "firstName": "Marlene A.",
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        "abstractNote": "Seasonal drought is often overlooked because its impacts are less devasting than meteorological or hydrological drought. Nevertheless, short-term drought can have significant impacts on soil moisture content, agricultural crop yield, and sand and dust storms. Using data obtained from bias-corrected regional climate modelling (RCM) outputs, future seasonal drought is investigated over the water-scarce Arab domain using SPI-3. The climate modelling outputs include three downscaled mainframe GCMs downscaled using a single RCM for two climate scenarios: RCP4.5 and RCP8.5. Results across the region exhibit spatial and temporal variability. For example, Rift Valley, in the eastern sub-Sahara, projects less frequent and less severe drought, particularly during the winter (DJF) months. Conversely, the Morocco Highlands and adjacent Mediterranean coast signals a dramatic increase in drought by end-century during winter (DJF) and spring (MAM). Moderate increase in drought indicated in the greater Mashreq in spring (MAM) can be linked to sand and dust storm risk. Thirdly, autumn drought (SON) is linked to increased forest fire risk in the Levant. Projected increases in drought frequency and severity call for adaptation measures to reduce impacts.",
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        "pages": "856",
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        "itemType": "journalArticle",
        "title": "Business-as-usual will lead to super and ultra-extreme heatwaves in the Middle East and North Africa",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "George",
            "lastName": "Zittis"
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            "creatorType": "author",
            "firstName": "Panos",
            "lastName": "Hadjinicolaou"
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            "firstName": "Mansour",
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            "creatorType": "author",
            "firstName": "Edoardo",
            "lastName": "Bucchignani"
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            "firstName": "Fatima",
            "lastName": "Driouech"
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            "firstName": "Khalid",
            "lastName": "El Rhaz"
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            "firstName": "Levent",
            "lastName": "Kurnaz"
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          {
            "creatorType": "author",
            "firstName": "Grigory",
            "lastName": "Nikulin"
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            "lastName": "Ntoumos"
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            "firstName": "Tugba",
            "lastName": "Ozturk"
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            "firstName": "Yiannis",
            "lastName": "Proestos"
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            "firstName": "Georgiy",
            "lastName": "Stenchikov"
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            "creatorType": "author",
            "firstName": "Rashyd",
            "lastName": "Zaaboul"
          },
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            "creatorType": "author",
            "firstName": "Jos",
            "lastName": "Lelieveld"
          }
        ],
        "abstractNote": "Abstract\n            Global climate projections suggest a significant intensification of summer heat extremes in the Middle East and North Africa (MENA). To assess regional impacts, and underpin mitigation and adaptation measures, robust information is required from climate downscaling studies, which has been lacking for the region. Here, we project future hot spells by using the Heat Wave Magnitude Index and a comprehensive ensemble of regional climate projections for MENA. Our results, for a business-as-usual pathway, indicate that in the second half of this century unprecedented super- and ultra-extreme heatwave conditions will emerge. These events involve excessively high temperatures (up to 56 °C and higher) and will be of extended duration (several weeks), being potentially life-threatening for humans. By the end of the century, about half of the MENA population (approximately 600 million) could be exposed to annually recurring super- and ultra-extreme heatwaves. It is expected that the vast majority of the exposed population (>90%) will live in urban centers, who would need to cope with these societally disruptive weather conditions.",
        "publicationTitle": "npj Climate and Atmospheric Science",
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        "date": "2021-03-23",
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        "issue": "1",
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        "partNumber": "",
        "partTitle": "",
        "pages": "20",
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        "seriesTitle": "",
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        "journalAbbreviation": "npj Clim Atmos Sci",
        "DOI": "10.1038/s41612-021-00178-7",
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        "version": 44,
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        "title": "Projected Changes in Extreme Temperature and Precipitation Indices Over CORDEX-MENA Domain",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Tugba",
            "lastName": "Ozturk"
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          {
            "creatorType": "author",
            "firstName": "F. Sibel",
            "lastName": "Saygili-Araci"
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            "creatorType": "author",
            "firstName": "M. Levent",
            "lastName": "Kurnaz"
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        "abstractNote": "In this study, projected changes in climate extreme indices defined by the Expert Team on Climate Change Detection and Indices were investigated over Middle East and North Africa. Changes in the daily maximum and minimum temperature- and precipitation- based extreme indices were analyzed for the end of the 21st century compared to the reference period 1971–2000 using regional climate model simulations. Regional climate model, RegCM4.4 was used to downscale two different global climate model outputs to 50 km resolution under RCP4.5 and RCP8.5 scenarios. Results generally indicate an intensification of temperature- and precipitation- based extreme indices with increasing radiative forcing. In particular, an increase in annual minimum of daily minimum temperatures is more pronounced over the northern part of Mediterranean Basin and tropics. High increase in warm nights and warm spell duration all over the region with a pronounced increase in tropics are projected for the period of 2071–2100 together with decrease or no change in cold extremes. According to the results, a decrease in total wet-day precipitation and increase in dry spells are expected for the end of the century.",
        "publicationTitle": "Atmosphere",
        "publisher": "",
        "place": "",
        "date": "2021-05-12",
        "volume": "12",
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        "partTitle": "",
        "pages": "622",
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        "version": 44,
        "itemType": "journalArticle",
        "title": "Evaluation of WRF Model Boundary Layer Schemes in Simulating Temperature and Heat Extremes over the Middle East–North Africa (MENA) Region",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Athanasios",
            "lastName": "Ntoumos"
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          {
            "creatorType": "author",
            "firstName": "Panos",
            "lastName": "Hadjinicolaou"
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          {
            "creatorType": "author",
            "firstName": "George",
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            "creatorType": "author",
            "firstName": "Katiana",
            "lastName": "Constantinidou"
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            "firstName": "Anna",
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            "creatorType": "author",
            "firstName": "Jos",
            "lastName": "Lelieveld"
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        "abstractNote": "Abstract\n            We assess the sensitivity of the Weather Research and Forecasting (WRF) Model to the use of different planetary boundary layer (PBL) parameterizations focusing on air temperature and extreme heat conditions. This work aims to evaluate the performance of the WRF Model in simulating temperatures across the Middle East–North Africa (MENA) domain, explain the model biases resulting from the choice of different PBL schemes, and identify the best-performing configuration for the MENA region. Three different PBL schemes are used to downscale the ECMWF ERA-Interim climate over the MENA region at a horizontal resolution of 24 km, for the period 2000–10. These are the Mellor–Yamada–Janjić (MYJ), Yonsei University (YSU), and the asymmetric convective model, version 2 (ACM2). For the evaluation of the WRF runs, we used related meteorological variables from the ERA5 reanalysis, including summer maximum and minimum 2-m air temperature and heat extreme indices. Our results indicate that simulations tend to overestimate maximum temperatures and underestimate minimum temperatures, and we find that model errors are very dependent on the geographic location. The possible physical causes of model biases are investigated through the analysis of additional variables (such as boundary layer height, moisture, and heat fluxes). It is shown that differences among the PBL schemes are associated with differences in vertical mixing strength, which alters the magnitude of the entrainment of free-tropospheric air into the PBL. The YSU is found to be the best-performing scheme, and it is recommended in WRF climate simulations for the MENA region.",
        "publicationTitle": "Journal of Applied Meteorology and Climatology",
        "publisher": "",
        "place": "",
        "date": "09/2023",
        "volume": "62",
        "issue": "9",
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        "partTitle": "",
        "pages": "1315-1332",
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        "title": "Assessment of the European Climate Projections as Simulated by the Large EURO-CORDEX Regional and Global Climate Model Ensemble",
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            "firstName": "Samuel",
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            "creatorType": "author",
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            "firstName": "Robert",
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            "firstName": "Ole B.",
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            "firstName": "Fredrik",
            "lastName": "Boberg"
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            "creatorType": "author",
            "firstName": "Silje Lund",
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            "firstName": "Marie-Estelle",
            "lastName": "Demory"
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            "lastName": "Teichmann"
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            "firstName": "Kirsten",
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            "firstName": "Volker",
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        "abstractNote": "This paper analyzes the ensemble of regional climate model (RCM) projections for Europe completed within the EURO-CORDEX project. Projections are available for the two greenhouse gas concentration scenarios RCP2.6 (22 members) and RCP8.5 (55 members) at 0.11° resolution from 11 RCMs driven by eight global climate models (GCMs). The RCM ensemble results are compared with the driving CMIP5 global models but also with a subset of available last generation CMIP6 projections. Maximum warming is projected by all ensembles in Northern Europe in winter, along with a maximum precipitation increase there; in summer, maximum warming occurs in the Mediterranean and Southern European regions associated with a maximum precipitation decrease. The CMIP6 ensemble shows the largest signals, both for temperature and precipitation, along with the largest inter-model spread. There is a high model consensus across the ensembles on an increase of extreme precipitation and drought frequency in the Mediterranean region. Extreme temperature indices show an increase of heat extremes and a decrease of cold extremes, with CMIP6 showing the highest values and EURO-CORDEX the finest spatial details. This data set of unprecedented size and quality will provide the basis for impact assessment and climate service activities for the European region.",
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        "place": "",
        "date": "2021",
        "volume": "126",
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        "pages": "e2019JD032356",
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        "title": "Evaluation of the Large EURO-CORDEX Regional Climate Model Ensemble",
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            "firstName": "Robert",
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            "firstName": "Samuel",
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            "firstName": "Emma",
            "lastName": "Aalbers"
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            "creatorType": "author",
            "firstName": "Ole B.",
            "lastName": "Christensen"
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            "firstName": "James M.",
            "lastName": "Ciarlo"
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            "lastName": "Demory"
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            "firstName": "Filippo",
            "lastName": "Giorgi"
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            "creatorType": "author",
            "firstName": "Daniela",
            "lastName": "Jacob"
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            "creatorType": "author",
            "firstName": "Richard G.",
            "lastName": "Jones"
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            "creatorType": "author",
            "firstName": "Klaus",
            "lastName": "Keuler"
          },
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            "creatorType": "author",
            "firstName": "Erik",
            "lastName": "Kjellström"
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            "creatorType": "author",
            "firstName": "Geert",
            "lastName": "Lenderink"
          },
          {
            "creatorType": "author",
            "firstName": "Guillaume",
            "lastName": "Levavasseur"
          },
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            "creatorType": "author",
            "firstName": "Grigory",
            "lastName": "Nikulin"
          },
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            "firstName": "Jana",
            "lastName": "Sillmann"
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          {
            "creatorType": "author",
            "firstName": "Cosimo",
            "lastName": "Solidoro"
          },
          {
            "creatorType": "author",
            "firstName": "Silje Lund",
            "lastName": "Sørland"
          },
          {
            "creatorType": "author",
            "firstName": "Christian",
            "lastName": "Steger"
          },
          {
            "creatorType": "author",
            "firstName": "Claas",
            "lastName": "Teichmann"
          },
          {
            "creatorType": "author",
            "firstName": "Kirsten",
            "lastName": "Warrach-Sagi"
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        "abstractNote": "The use of regional climate model (RCM)-based projections for providing regional climate information in a research and climate service contexts is currently expanding very fast. This has been possible thanks to a considerable effort in developing comprehensive ensembles of RCM projections, especially for Europe, in the EURO-CORDEX community (Jacob et al., 2014, 2020). As of end of 2019, EURO-CORDEX has developed a set of 55 historical and scenario projections (RCP8.5) using 8 driving global climate models (GCMs) and 11 RCMs. This article presents the ensemble including its design. We target the analysis to better characterize the quality of the RCMs by providing an evaluation of these RCM simulations over a number of classical climate variables and extreme and impact-oriented indices for the period 1981–2010. For the main variables, the model simulations generally agree with observations and reanalyses. However, several systematic biases are found as well, with shared responsibilities among RCMs and GCMs: Simulations are overall too cold, too wet, and too windy compared to available observations or reanalyses. Some simulations show strong systematic biases on temperature, others on precipitation or dynamical variables, but none of the models/simulations can be defined as the best or the worst on all criteria. The article aims at supporting a proper use of these simulations within a climate services context.",
        "publicationTitle": "Journal of Geophysical Research: Atmospheres",
        "publisher": "",
        "place": "",
        "date": "2021",
        "volume": "126",
        "issue": "17",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "e2019JD032344",
        "series": "",
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            "creatorType": "author",
            "firstName": "Acacia",
            "lastName": "Pepler"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel S.",
            "lastName": "Bell"
          },
          {
            "creatorType": "author",
            "firstName": "Andrew J.",
            "lastName": "Dowdy"
          },
          {
            "creatorType": "author",
            "firstName": "Simon O.",
            "lastName": "Tucker"
          },
          {
            "creatorType": "author",
            "firstName": "Charmaine",
            "lastName": "Franklin"
          }
        ],
        "abstractNote": "Anthropogenic climate change is changing the Earth system processes that control the characteristics of natural hazards both globally and across Australia. Model projections of hazards under future climate change are necessary for effective adaptation. This paper presents BARPA-R (the Bureau of Meteorology Atmospheric Regional Projections for Australia), a regional climate model designed to downscale climate projections over the Australasian region with the purpose of investigating future hazards. BARPA-R, a limited-area model, has a 17 km horizontal grid spacing and makes use of the Met Office Unified Model (MetUM) atmospheric model and the Joint UK Land Environment Simulator (JULES) land surface model. To establish credibility and in compliance with the Coordinated Regional Climate Downscaling Experiment (CORDEX) experiment design, the BARPA-R framework has been used to downscale ERA5 reanalysis. Here, an assessment of this evaluation experiment is provided. Performance-based evaluation results are benchmarked against ERA5, with comparable performance between the free-running BARPA-R simulations and observationally constrained reanalysis interpreted as a good result. First, an examination of BARPA-R's representation of Australia's surface air temperature, precipitation, and 10 m winds finds good performance overall, with biases including a 1 ∘C cold bias in daily maximum temperatures, reduced diurnal temperature range, and wet biases up to 25 mm per month in inland Australia. Recent trends in daily maximum temperatures are consistent with observational products, while trends in minimum temperatures show overestimated warming and trends in precipitation show underestimated wetting in northern Australia. Precipitation and temperature teleconnections are effectively represented in BARPA-R when present in the driving boundary conditions, while 10 m winds are improved over ERA5 in six out of eight of the Australian regions considered. Secondly, the paper considers the representation of large-scale atmospheric circulation features and weather systems. While generally well represented, convection-related features such as tropical cyclones, the South Pacific Convergence Zone (SPCZ), the Northwest Cloudband, and the monsoon westerlies show more divergence from observations and internal interannual variability than mid-latitude phenomena such as the westerly jets and extratropical cyclones. Having simulated a realistic Australasian climate, the BARPA-R framework will be used to downscale two climate change scenarios from seven CMIP6 global climate models (GCMs).",
        "publicationTitle": "Geoscientific Model Development",
        "publisher": "Copernicus GmbH",
        "place": "",
        "date": "2024-01-29",
        "volume": "17",
        "issue": "2",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "731-757",
        "series": "",
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        "DOI": "10.5194/gmd-17-731-2024",
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        "language": "English",
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        "creatorSummary": "Long et al.",
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        "title": "High resolution regional climate simulation over CORDEX East Asia phase II domain using the COAWST Ocean-atmosphere coupled model",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Mengyuan",
            "lastName": "Long"
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          {
            "creatorType": "author",
            "firstName": "Ke",
            "lastName": "Yu"
          },
          {
            "creatorType": "author",
            "firstName": "Yutong",
            "lastName": "Lu"
          },
          {
            "creatorType": "author",
            "firstName": "Shuyu",
            "lastName": "Wang"
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          {
            "creatorType": "author",
            "firstName": "Jianping",
            "lastName": "Tang"
          }
        ],
        "abstractNote": "This study reveals the simulation results of a regional ocean-atmosphere coupled model (Coupled Ocean-Atmosphere-Wave Sediment Transport Modeling System, COAWST) for the Coordinated Regional Climate Downscaling Experiment (CORDEX) East Asia Phase II, which covers a period of 21 years (1989–2009) at a horizontal resolution of 25 km. The coupled simulation (CPL) and the uncoupled atmospheric simulation (UNCPL) are compared with observations to assess their capability of capturing the climatology characteristics over East Asia. The simulated sea surface temperature (SST) in CPL is generally overestimated (underestimated) in summer (winter) over most CORDEX-EA-II regions. Both CPL and UNCPL can capture the spatial patterns of seasonal air temperature over East Asia well. However, they both simulate cold biases of the winter temperature over most regions of China. CPL can reduce the cold biases over certain regions, which may be related to the increased cloud cover reflecting more longwave radiation to the ground. Additionally, CPL improves the simulation results of summer precipitation, diminishing the dry biases over northern Bay of Bengal and South China Sea. This improvement may be related to the better description of moisture transportation and precipitable water. Furthermore, The CPL experiment can better simulate the inter-annual variability of summer precipitation and the relationship between SST and precipitation, especially over the South China Sea and Philippines Sea. CPL also captures the northward propagation and amplitude of boreal summer intra-seasonal oscillation precipitation anomalies more accurately. These findings highlight the importance of ocean-atmosphere coupling processes to simulate multiscale climate changes in the CORDEX-EA-II regions.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2024-09-01",
        "volume": "62",
        "issue": "9",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "8711-8727",
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        "seriesTitle": "",
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        "journalAbbreviation": "Clim Dyn",
        "DOI": "10.1007/s00382-024-07356-2",
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        "language": "en",
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        "tags": [
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            "tag": "Boreal summer intra-seasonal oscillation",
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            "tag": "COAWST regional model",
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            "tag": "CORDEX East Asia",
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          {
            "tag": "Ocean-atmosphere coupling",
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          {
            "tag": "Summer precipitation",
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            "tag": "Surface air temperature",
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        "title": "Performance ranking of multiple CORDEX-SEA sensitivity experiments: towards an optimum choice of physical schemes for RegCM over Southeast Asia",
        "creators": [
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            "creatorType": "author",
            "firstName": "Thanh",
            "lastName": "Ngo-Duc"
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            "creatorType": "author",
            "firstName": "Tung",
            "lastName": "Nguyen-Duy"
          },
          {
            "creatorType": "author",
            "firstName": "Quentin",
            "lastName": "Desmet"
          },
          {
            "creatorType": "author",
            "firstName": "Long",
            "lastName": "Trinh-Tuan"
          },
          {
            "creatorType": "author",
            "firstName": "Louis",
            "lastName": "Ramu"
          },
          {
            "creatorType": "author",
            "firstName": "Faye",
            "lastName": "Cruz"
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          {
            "creatorType": "author",
            "firstName": "Julie Mae",
            "lastName": "Dado"
          },
          {
            "creatorType": "author",
            "firstName": "Jing Xiang",
            "lastName": "Chung"
          },
          {
            "creatorType": "author",
            "firstName": "Tan",
            "lastName": "Phan-Van"
          },
          {
            "creatorType": "author",
            "firstName": "Ha",
            "lastName": "Pham-Thanh"
          },
          {
            "creatorType": "author",
            "firstName": "Kien",
            "lastName": "Truong-Ba"
          },
          {
            "creatorType": "author",
            "firstName": "Fredolin T.",
            "lastName": "Tangang"
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          {
            "creatorType": "author",
            "firstName": "Liew",
            "lastName": "Juneng"
          },
          {
            "creatorType": "author",
            "firstName": "Jerasorn",
            "lastName": "Santisirisomboon"
          },
          {
            "creatorType": "author",
            "firstName": "Ratchanan",
            "lastName": "Srisawadwong"
          },
          {
            "creatorType": "author",
            "firstName": "Donaldi",
            "lastName": "Permana"
          },
          {
            "creatorType": "author",
            "firstName": "Utoyo Ajie",
            "lastName": "Linarka"
          },
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            "creatorType": "author",
            "firstName": "Dodo",
            "lastName": "Gunawan"
          }
        ],
        "abstractNote": "This study conducted and evaluated 44 experiments using the non-hydrostatic version of the regional climate model RegCM4 (RegCM4-NH) and an additional three experiments with RegCM version 5 (RegCM5) over Southeast Asia for the period 2010–2015. The initiative was part of the coordinated regional climate downscaling experiment—Southeast Asia (CORDEX-SEA) project, in preparation for downscaling the latest coupled model intercomparison project Phase 6 (CMIP6) global climate models (GCMs). The RegCM4-NH experiments, forced by the ERA5 reanalysis, were configured using combinations of four cumulus, three planetary boundary layer (PBL), and three explicit moisture schemes. The spatiotemporal variability of simulated 2 m-temperature and rainfall for 2010–2015 was evaluated against observational datasets. The best experiments demonstrated reasonable reproduction of observed annual cycles and spatial distribution, while many exhibited unrealistic biases. A score ranking system was implemented to objectively compare the performance of experiments, enabling the identification of top-ranked experiments for Southeast Asia. The ensemble mean of the 44 RegCM4-NH experiments exhibited commendable performance, ranking 11th overall. Furthermore, the three additional RegCM5 experiments did not yield improved results compared to RegCM4-NH under the same physical configuration, suggesting that opting for RegCM4-NH would be a prudent choice for the CORDEX-SEA community in the forthcoming CMIP6 downscaling cycle for Southeast Asia.",
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        "date": "2024-09-01",
        "volume": "62",
        "issue": "9",
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        "partNumber": "",
        "partTitle": "",
        "pages": "8659-8673",
        "series": "",
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        "shortTitle": "Performance ranking of multiple CORDEX-SEA sensitivity experiments",
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        "creatorSummary": "Sobolowski et al.",
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        "title": "EURO-CORDEX CMIP6 GCM Selection & Ensemble Design: Best Practices and Recommendations",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "Stefan",
            "lastName": "Sobolowski"
          },
          {
            "creatorType": "author",
            "firstName": "Samuel",
            "lastName": "Somot"
          },
          {
            "creatorType": "author",
            "firstName": "Jesus",
            "lastName": "Fernandez"
          },
          {
            "creatorType": "author",
            "firstName": "Guillaume",
            "lastName": "Evin"
          },
          {
            "creatorType": "author",
            "firstName": "Douglas",
            "lastName": "Maraun"
          },
          {
            "creatorType": "author",
            "firstName": "Sven",
            "lastName": "Kotlarski"
          },
          {
            "creatorType": "author",
            "firstName": "Martin",
            "lastName": "Jury"
          },
          {
            "creatorType": "author",
            "firstName": "Rasmus E.",
            "lastName": "Benestad"
          },
          {
            "creatorType": "author",
            "firstName": "Claas",
            "lastName": "Teichmann"
          },
          {
            "creatorType": "author",
            "firstName": "Ole B.",
            "lastName": "Christensen"
          },
          {
            "creatorType": "author",
            "firstName": "Bülow",
            "lastName": "Katharina"
          },
          {
            "creatorType": "author",
            "firstName": "Erasmo",
            "lastName": "Buonomo"
          },
          {
            "creatorType": "author",
            "firstName": "Eleni",
            "lastName": "Katragkou"
          },
          {
            "creatorType": "author",
            "firstName": "Christian",
            "lastName": "Steger"
          },
          {
            "creatorType": "author",
            "firstName": "Silje",
            "lastName": "Sørland"
          },
          {
            "creatorType": "author",
            "firstName": "Grigory",
            "lastName": "Nikulin"
          },
          {
            "creatorType": "author",
            "firstName": "Carol",
            "lastName": "McSweeney"
          },
          {
            "creatorType": "author",
            "firstName": "Andreas",
            "lastName": "Dobler"
          },
          {
            "creatorType": "author",
            "firstName": "Tamzin",
            "lastName": "Palmer"
          },
          {
            "creatorType": "author",
            "firstName": "Renate",
            "lastName": "Wilke"
          },
          {
            "creatorType": "author",
            "firstName": "Julien",
            "lastName": "Boé"
          },
          {
            "creatorType": "author",
            "firstName": "Lukas",
            "lastName": "Brunner"
          },
          {
            "creatorType": "author",
            "firstName": "Aurélien",
            "lastName": "Ribes"
          },
          {
            "creatorType": "author",
            "firstName": "Said",
            "lastName": "Qasmi"
          },
          {
            "creatorType": "author",
            "firstName": "Pierre",
            "lastName": "Nabat"
          },
          {
            "creatorType": "author",
            "firstName": "Florence",
            "lastName": "Sevault"
          },
          {
            "creatorType": "author",
            "firstName": "Thomas",
            "lastName": "Oudar"
          },
          {
            "creatorType": "author",
            "firstName": "Swen",
            "lastName": "Brands"
          }
        ],
        "abstractNote": "This white paper and the accompanying tables published in GitHub are meant to help modellers in EURO-CORDEX, and elsewhere, make informed decisions when it comes to selecting GCMs for downscaling from the CMIP6 archive. While the approach to GCM selection during the CMIP5 downscaling phase cannot be wholly considered an “ensemble of opportunity” it is also true that the selection of GCMs was not as rigorous as it could have been. We aim to improve upon this situation and help us construct smarter, more reliable and more useful downscaled ensembles (dynamical, statistical and hybrid) and make the selection process more transparent. The community should consider this a living document that will evolve along with our scientific understanding. We rely mostly on peer-reviewed literature for the assessment of CMIP6 models provided in the linked tables and have devised innovative ways to include relevant metadata and update the tool with new results [https://wcrp-cordex.github.io/cmip6-for-cordex]. We encourage the wider CORDEX community to become active in this activity, suggest ways to improve and alert us when new results become available or mistakes are noted in the evaluation tables. We also hope that this EURO-CORDEX GCM selection work can inspire good practices and contribute to fruitful discussions in other CORDEX domains and CORDEX-FPS activities.",
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            "firstName": "C.",
            "lastName": "Teichmann"
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            "firstName": "F.",
            "lastName": "Solmon"
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            "firstName": "V.",
            "lastName": "Pavlidis"
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            "firstName": "D.",
            "lastName": "Rechid"
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            "firstName": "P.",
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            "firstName": "J.",
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            "firstName": "G.",
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            "firstName": "D.",
            "lastName": "Jacob"
          }
        ],
        "abstractNote": "The Coordinated Regional Downscaling Experiment (CORDEX) is a coordinated international activity that has produced ensembles of regional climate simulations with domains that cover all land areas of the world. These ensembles are used by a wide range of practitioners that include the scientific community, policymakers, and stakeholders from the public and private sectors. They also provide the scientific basis for the Intergovernmental Panel on Climate Change-Assessment Reports. As its next phase now launches, the CMIP6-CORDEX datasets are expected to populate community repositories over the next couple of years, with updated state-of-the-art regional climate data that will further support national and regional communities and inform their climate adaptation and mitigation strategies. The protocol presented here focuses on the European domain (EURO-CORDEX). It takes the international CORDEX protocol covering all 14 global domains as its template. However, it expands on the international protocol in specific areas; incorporates historical and projected aerosol trends into the regional models in a consistent way with CMIP6 global climate models, to allow for a better comparison of global versus regional trends; produces more climate variables to better support sectorial climate impact assessments; and takes into account the recent scientific developments addressed in the CORDEX Flagship Pilot Studies, enabling a better assessment of processes and phenomena relevant to regional climate (e.g., land-use change, aerosol, convection, and urban environment). Here, we summarize the scientific analysis which led to the new simulation protocol and highlight the improvements we expect in the new generation regional climate ensemble.",
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        "title": "The simulation of European heat waves from an ensemble of regional climate models within the EURO-CORDEX project",
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            "creatorType": "author",
            "firstName": "Robert",
            "lastName": "Vautard"
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            "firstName": "Andreas",
            "lastName": "Gobiet"
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            "lastName": "Colette"
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            "creatorType": "author",
            "firstName": "Michel",
            "lastName": "Déqué"
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            "creatorType": "author",
            "firstName": "Jesús",
            "lastName": "Fernández"
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            "creatorType": "author",
            "firstName": "Markel",
            "lastName": "García-Díez"
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            "creatorType": "author",
            "firstName": "Klaus",
            "lastName": "Goergen"
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            "creatorType": "author",
            "firstName": "Ivan",
            "lastName": "Güttler"
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            "creatorType": "author",
            "firstName": "Tomáš",
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            "firstName": "Eleni",
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            "creatorType": "author",
            "firstName": "Klaus",
            "lastName": "Keuler"
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            "creatorType": "author",
            "firstName": "Sven",
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            "firstName": "Stephanie",
            "lastName": "Mayer"
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            "creatorType": "author",
            "firstName": "Erik",
            "lastName": "van Meijgaard"
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            "creatorType": "author",
            "firstName": "Grigory",
            "lastName": "Nikulin"
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            "creatorType": "author",
            "firstName": "Mirta",
            "lastName": "Patarčić"
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            "creatorType": "author",
            "firstName": "John",
            "lastName": "Scinocca"
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            "creatorType": "author",
            "firstName": "Stefan",
            "lastName": "Sobolowski"
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            "creatorType": "author",
            "firstName": "Martin",
            "lastName": "Suklitsch"
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            "creatorType": "author",
            "firstName": "Claas",
            "lastName": "Teichmann"
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            "creatorType": "author",
            "firstName": "Kirsten",
            "lastName": "Warrach-Sagi"
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            "creatorType": "author",
            "firstName": "Volker",
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            "firstName": "Pascal",
            "lastName": "Yiou"
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        "abstractNote": "The ability of a large ensemble of regional climate models to accurately simulate heat waves at the regional scale of Europe was evaluated. Within the EURO-CORDEX project, several state-of-the art models, including non-hydrostatic meso-scale models, were run for an extended time period (20 years) at high resolution (12 km), over a large domain allowing for the first time the simultaneous representation of atmospheric phenomena over a large range of spatial scales. Eight models were run in this configuration, and thirteen models were run at a classical resolution of 50 km. The models were driven with the same boundary conditions, the ERA-Interim re-analysis, and except for one simulation, no observations were assimilated in the inner domain. Results, which are compared with daily temperature and precipitation observations (ECA&D and E-OBS data sets) show that, even forced by the same re-analysis, the ensemble exhibits a large spread. A preliminary analysis of the sources of spread, using in particular simulations of the same model with different parameterizations, shows that the simulation of hot temperature is primarily sensitive to the convection and the microphysics schemes, which affect incoming energy and the Bowen ratio. Further, most models exhibit an overestimation of summertime temperature extremes in Mediterranean regions and an underestimation over Scandinavia. Even after bias removal, the simulated heat wave events were found to be too persistent, but a higher resolution reduced this deficiency. The amplitude of events as well as the variability beyond the 90th percentile threshold were found to be too strong in almost all simulations and increasing resolution did not generally improve this deficiency. Resolution increase was also shown to induce large-scale 90th percentile warming or cooling for some models, with beneficial or detrimental effects on the overall biases. Even though full causality cannot be established on the basis of this evaluation work, the drivers of such regional differences were shown to be linked to changes in precipitation due to resolution changes, affecting the energy partitioning. Finally, the inter-annual sequence of hot summers over central/southern Europe was found to be fairly well simulated in most experiments despite an overestimation of the number of hot days and of the variability. The accurate simulation of inter-annual variability for a few models is independent of the model bias. This indicates that internal variability of high summer temperatures should not play a major role in controlling inter-annual variability. Despite some improvements, especially along coastlines, the analyses conducted here did not allow us to generally conclude that a higher resolution is clearly beneficial for a correct representation of heat waves by regional climate models. Even though local-scale feedbacks should be better represented at high resolution, combinations of parameterizations have to be improved or adapted accordingly.",
        "publicationTitle": "Climate Dynamics",
        "publisher": "",
        "place": "",
        "date": "2013-11-01",
        "volume": "41",
        "issue": "9",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "2555-2575",
        "series": "",
        "seriesTitle": "",
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        "journalAbbreviation": "Clim Dyn",
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        "language": "en",
        "libraryCatalog": "Springer Link",
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        "title": "CORDEX-CMIP6 Archiving Specifications for Dynamical Downscaling",
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            "firstName": "Grigory",
            "lastName": "Nikulin"
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        "title": "Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble",
        "creators": [
          {
            "creatorType": "author",
            "firstName": "S.",
            "lastName": "Kotlarski"
          },
          {
            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Keuler"
          },
          {
            "creatorType": "author",
            "firstName": "O. B.",
            "lastName": "Christensen"
          },
          {
            "creatorType": "author",
            "firstName": "A.",
            "lastName": "Colette"
          },
          {
            "creatorType": "author",
            "firstName": "M.",
            "lastName": "Déqué"
          },
          {
            "creatorType": "author",
            "firstName": "A.",
            "lastName": "Gobiet"
          },
          {
            "creatorType": "author",
            "firstName": "K.",
            "lastName": "Goergen"
          },
          {
            "creatorType": "author",
            "firstName": "D.",
            "lastName": "Jacob"
          },
          {
            "creatorType": "author",
            "firstName": "D.",
            "lastName": "Lüthi"
          },
          {
            "creatorType": "author",
            "firstName": "E.",
            "lastName": "Van Meijgaard"
          },
          {
            "creatorType": "author",
            "firstName": "G.",
            "lastName": "Nikulin"
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            "firstName": "C.",
            "lastName": "Schär"
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            "firstName": "C.",
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            "firstName": "R.",
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            "firstName": "K.",
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            "creatorType": "author",
            "firstName": "V.",
            "lastName": "Wulfmeyer"
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        ],
        "abstractNote": "Abstract. EURO-CORDEX is an international climate downscaling initiative that aims to provide high-resolution climate scenarios for Europe. Here an evaluation of the ERA-Interim-driven EURO-CORDEX regional climate model (RCM) ensemble is presented. The study documents the performance of the individual models in representing the basic spatiotemporal patterns of the European climate for the period 1989–2008. Model evaluation focuses on near-surface air temperature and precipitation, and uses the E-OBS data set as observational reference. The ensemble consists of 17 simulations carried out by seven different models at grid resolutions of 12 km (nine experiments) and 50 km (eight experiments). Several performance metrics computed from monthly and seasonal mean values are used to assess model performance over eight subdomains of the European continent. Results are compared to those for the ERA40-driven ENSEMBLES simulations.  The analysis confirms the ability of RCMs to capture the basic features of the European climate, including its variability in space and time. But it also identifies nonnegligible deficiencies of the simulations for selected metrics, regions and seasons. Seasonally and regionally averaged temperature biases are mostly smaller than 1.5 °C, while precipitation biases are typically located in the ±40% range. Some bias characteristics, such as a predominant cold and wet bias in most seasons and over most parts of Europe and a warm and dry summer bias over southern and southeastern Europe reflect common model biases. For seasonal mean quantities averaged over large European subdomains, no clear benefit of an increased spatial resolution (12 vs. 50 km) can be identified. The bias ranges of the EURO-CORDEX ensemble mostly correspond to those of the ENSEMBLES simulations, but some improvements in model performance can be identified (e.g., a less pronounced southern European warm summer bias). The temperature bias spread across different configurations of one individual model can be of a similar magnitude as the spread across different models, demonstrating a strong influence of the specific choices in physical parameterizations and experimental setup on model performance. Based on a number of simply reproducible metrics, the present study quantifies the currently achievable accuracy of RCMs used for regional climate simulations over Europe and provides a quality standard for future model developments.",
        "publicationTitle": "Geoscientific Model Development",
        "publisher": "",
        "place": "",
        "date": "2014-07-10",
        "volume": "7",
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        "pages": "1297-1333",
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        "ISSN": "1991-9603",
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        "shortTitle": "Regional climate modeling on European scales",
        "language": "en",
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        ],
        "abstractNote": "The European CORDEX (EURO-CORDEX) initiative is a large voluntary effort that seeks to advance regional climate and Earth system science in Europe. As part of the World Climate Research Programme (WCRP) - Coordinated Regional Downscaling Experiment (CORDEX), it shares the broader goals of providing a model evaluation and climate projection framework and improving communication with both the General Circulation Model (GCM) and climate data user communities. EURO-CORDEX oversees the design and coordination of ongoing ensembles of regional climate projections of unprecedented size and resolution (0.11° EUR-11 and 0.44° EUR-44 domains). Additionally, the inclusion of empirical-statistical downscaling allows investigation of much larger multi-model ensembles. These complementary approaches provide a foundation for scientific studies within the climate research community and others. The value of the EURO-CORDEX ensemble is shown via numerous peer-reviewed studies and its use in the development of climate services. Evaluations of the EUR-44 and EUR-11 ensembles also show the benefits of higher resolution. However, significant challenges remain. To further advance scientific understanding, two flagship pilot studies (FPS) were initiated. The first investigates local-regional phenomena at convection-permitting scales over central Europe and the Mediterranean in collaboration with the Med-CORDEX community. The second investigates the impacts of land cover changes on European climate across spatial and temporal scales. Over the coming years, the EURO-CORDEX community looks forward to closer collaboration with other communities, new advances, supporting international initiatives such as the IPCC reports, and continuing to provide the basis for research on regional climate impacts and adaptation in Europe.",
        "publicationTitle": "Regional Environmental Change",
        "publisher": "",
        "place": "",
        "date": "2020-04-23",
        "volume": "20",
        "issue": "2",
        "section": "",
        "partNumber": "",
        "partTitle": "",
        "pages": "51",
        "series": "",
        "seriesTitle": "",
        "seriesText": "",
        "journalAbbreviation": "Reg Environ Change",
        "DOI": "10.1007/s10113-020-01606-9",
        "citationKey": "",
        "url": "https://doi.org/10.1007/s10113-020-01606-9",
        "accessDate": "2022-03-28T15:03:08Z",
        "PMID": "",
        "PMCID": "",
        "ISSN": "1436-378X",
        "archive": "",
        "archiveLocation": "",
        "shortTitle": "Regional climate downscaling over Europe",
        "language": "en",
        "libraryCatalog": "Springer Link",
        "callNumber": "",
        "rights": "",
        "extra": "",
        "tags": [
          {
            "tag": "CORDEX",
            "type": 1
          },
          {
            "tag": "Climate change",
            "type": 1
          },
          {
            "tag": "EURO-CORDEX",
            "type": 1
          },
          {
            "tag": "Regional climate modelling",
            "type": 1
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          {
            "tag": "Regional climate models",
            "type": 1
          }
        ],
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        "dateAdded": "2025-01-07T17:20:07Z",
        "dateModified": "2025-01-07T17:20:07Z"
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