%load_ext autoreload
%autoreload 2

Examples of CORDEX-CMIP6 cmorization

This notebook should show some examples of how a cmorized CORDEX-CMIP6 dataset could look like.

!ls ../Tables

CORDEX-CMIP6_1hr.json	      CORDEX-CMIP6_formula_terms.json
CORDEX-CMIP6_6hr.json	      CORDEX-CMIP6_fx.json
CORDEX-CMIP6_CV.json	      CORDEX-CMIP6_grids.json
CORDEX-CMIP6_coordinate.json  CORDEX-CMIP6_mon.json
CORDEX-CMIP6_day.json	      CORDEX-CMIP6_remo_example.json

Controlled Vocabulary

The current CORDEX-CMIP6_CV.json file contains the controlled vocabulary used by the CMOR3 library for rewriting the model output. Let’s have a look:

import json
import pprint

from IPython.display import JSON

# Opening JSON file
with open("../Tables/CORDEX-CMIP6_CV.json") as json_file:
    CV = json.load(json_file)["CV"]

# JSON(CV['required_global_attributes'])
pprint.pprint(CV["required_global_attributes"])

['activity_id',
 'contact',
 'Conventions',
 'creation_date',
 'domain_id',
 'domain',
 'driving_experiment_id',
 'driving_experiment',
 'driving_institution_id',
 'driving_source_id',
 'driving_variant_label',
 'frequency',
 'grid',
 'institution',
 'institution_id',
 'license',
 'mip_era',
 'product',
 'project_id',
 'source',
 'source_id',
 'source_type',
 'tracking_id',
 'variable_id',
 'version_realization']

Cmorization example

We use the cordex.cmor module to create an example of a CORDEX-CMIP6 dataset.

Show code cell source Hide code cell source

import os

import cordex as cx
import xarray as xr
from cordex import cmor as cmor

table_dir = "../Tables"

cmor.set_options(table_prefix="CORDEX-CMIP6")


def test_cmorizer_fx():
    ds = cx.cordex_domain("EUR-11", dummy="topo")
    filename = cmor.cmorize_variable(
        ds,
        "orog",
        mapping_table={"orog": {"varname": "topo"}},
        cmor_table=os.path.join(table_dir, "CORDEX-CMIP6_fx.json"),
        dataset_table=os.path.join(table_dir, "CORDEX-CMIP6_remo_example.json"),
        grids_table=os.path.join(table_dir, "CORDEX-CMIP6_grids.json"),
        CORDEX_domain="EUR-11",
        time_units=None,
        allow_units_convert=True,
    )
    return filename


def test_cmorizer_mon():
    ds = cx.tutorial.open_dataset("remo_EUR-11_TEMP2_mon")
    filename = cmor.cmorize_variable(
        ds,
        "tas",
        mapping_table={"tas": {"varname": "TEMP2"}},
        cmor_table=os.path.join(table_dir, "CORDEX-CMIP6_mon.json"),
        dataset_table=os.path.join(table_dir, "CORDEX-CMIP6_remo_example.json"),
        grids_table=os.path.join(table_dir, "CORDEX-CMIP6_grids.json"),
        CORDEX_domain="EUR-11",
        time_units=None,
        allow_units_convert=True,
    )
    return filename


def test_cmorizer_subdaily(table):
    ds = cx.tutorial.open_dataset("remo_EUR-11_TEMP2_1hr")
    filename = cmor.cmorize_variable(
        ds,
        "tas",
        mapping_table={"tas": {"varname": "TEMP2"}},
        cmor_table=os.path.join(table_dir, f"CORDEX-CMIP6_{table}.json"),
        dataset_table=os.path.join(table_dir, "CORDEX-CMIP6_remo_example.json"),
        grids_table=os.path.join(table_dir, "CORDEX-CMIP6_grids.json"),
        CORDEX_domain="EUR-11",
        time_units=None,
        allow_units_convert=True,
        allow_resample=True,
    )
    return filename

Example from fx table

f = test_cmorizer_fx()

Let’s have a look at the filename.

f

'CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/fx/orog/v20240620/orog_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_fx.nc'

!ncdump -h $f

netcdf orog_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_fx {
dimensions:
	rlat = 412 ;
	rlon = 424 ;
	bnds = 2 ;
	vertices = 4 ;
variables:
	double rlat(rlat) ;
		rlat:units = "degrees" ;
		rlat:axis = "Y" ;
		rlat:long_name = "latitude in rotated pole grid" ;
		rlat:standard_name = "grid_latitude" ;
	double rlon(rlon) ;
		rlon:units = "degrees" ;
		rlon:axis = "X" ;
		rlon:long_name = "longitude in rotated pole grid" ;
		rlon:standard_name = "grid_longitude" ;
	int rotated_latitude_longitude ;
		rotated_latitude_longitude:grid_mapping_name = "rotated_latitude_longitude" ;
		rotated_latitude_longitude:grid_north_pole_latitude = 39.25 ;
		rotated_latitude_longitude:grid_north_pole_longitude = -162. ;
		rotated_latitude_longitude:north_pole_grid_longitude = 0. ;
	double lat(rlat, rlon) ;
		lat:standard_name = "latitude" ;
		lat:long_name = "latitude" ;
		lat:units = "degrees_north" ;
		lat:missing_value = 1.e+20 ;
		lat:_FillValue = 1.e+20 ;
		lat:bounds = "vertices_lat" ;
	double lon(rlat, rlon) ;
		lon:standard_name = "longitude" ;
		lon:long_name = "longitude" ;
		lon:units = "degrees_east" ;
		lon:missing_value = 1.e+20 ;
		lon:_FillValue = 1.e+20 ;
		lon:bounds = "vertices_lon" ;
	double vertices_lat(rlat, rlon, vertices) ;
		vertices_lat:units = "degrees_north" ;
		vertices_lat:missing_value = 1.e+20 ;
		vertices_lat:_FillValue = 1.e+20 ;
	double vertices_lon(rlat, rlon, vertices) ;
		vertices_lon:units = "degrees_east" ;
		vertices_lon:missing_value = 1.e+20 ;
		vertices_lon:_FillValue = 1.e+20 ;
	float orog(rlat, rlon) ;
		orog:standard_name = "surface_altitude" ;
		orog:long_name = "Surface Altitude" ;
		orog:units = "m" ;
		orog:cell_methods = "area: mean" ;
		orog:cell_measures = "area: areacella" ;
		orog:missing_value = 1.e+20f ;
		orog:_FillValue = 1.e+20f ;
		orog:grid_mapping = "rotated_latitude_longitude" ;
		orog:coordinates = "lat lon" ;

// global attributes:
		:Conventions = "CF-1.11" ;
		:activity_id = "DD" ;
		:contact = "gerics-cordex@hereon.de" ;
		:creation_date = "2024-06-20T06:36:23Z" ;
		:domain = "Europe" ;
		:domain_id = "EUR-12" ;
		:driving_experiment = "reanalysis simulation of the recent past" ;
		:driving_experiment_id = "evaluation" ;
		:driving_institution_id = "ECMWF" ;
		:driving_source_id = "ERA5" ;
		:driving_variant_label = "r1i1p1f1" ;
		:experiment_id = "evaluation" ;
		:external_variables = "areacella" ;
		:frequency = "fx" ;
		:grid = "Rotated-pole latitude-longitude with 0.11 degree grid spacing" ;
		:history = "2024-06-20T06:36:23Z ;rewrote data to be consistent with CORDEX for variable orog found in table fx." ;
		:institution = "Climate Service Center Germany, Helmholtz Centre hereon GmbH, Hamburg, Germany" ;
		:institution_id = "GERICS" ;
		:label = "REMO2020" ;
		:mip_era = "CMIP6" ;
		:product = "model-output" ;
		:project_id = "CORDEX" ;
		:realm = "REALM" ;
		:references = "https://www.remo-rcm.de" ;
		:run_variant = "1st realization" ;
		:source = "REMO regional model (2022)" ;
		:source_id = "REMO2020" ;
		:source_type = "ARCM" ;
		:table_id = "fx" ;
		:table_info = "Creation Date:(05 April 2024) MD5:48d6a0d158eeac713bdad57279c1277d" ;
		:title = "REMO2020 output prepared for CMIP6" ;
		:tracking_id = "hdl:21.14103/f22c8d79-55ed-42d3-9f44-1d0ca1be7148" ;
		:variable_id = "orog" ;
		:version_realization = "v1" ;
		:license = "https://cordex.org/data-access/cordex-cmip6-data/cordex-cmip6-terms-of-use" ;
		:cmor_version = "3.8.0" ;
}

The xarray dataset representation allows to explore the dataset interactively.

ds = xr.open_dataset(f)
ds

<xarray.Dataset> Size: 15MB
Dimensions:                     (rlat: 412, rlon: 424, vertices: 4)
Coordinates:
  * rlat                        (rlat) float64 3kB -23.38 -23.27 ... 21.73 21.84
  * rlon                        (rlon) float64 3kB -28.38 -28.27 ... 18.05 18.16
    lat                         (rlat, rlon) float64 1MB ...
    lon                         (rlat, rlon) float64 1MB ...
Dimensions without coordinates: vertices
Data variables:
    rotated_latitude_longitude  int32 4B ...
    vertices_lat                (rlat, rlon, vertices) float64 6MB ...
    vertices_lon                (rlat, rlon, vertices) float64 6MB ...
    orog                        (rlat, rlon) float32 699kB ...
Attributes: (12/36)
    Conventions:             CF-1.11
    activity_id:             DD
    contact:                 gerics-cordex@hereon.de
    creation_date:           2024-06-20T06:36:23Z
    domain:                  Europe
    domain_id:               EUR-12
    ...                      ...
    title:                   REMO2020 output prepared for CMIP6
    tracking_id:             hdl:21.14103/f22c8d79-55ed-42d3-9f44-1d0ca1be7148
    variable_id:             orog
    version_realization:     v1
    license:                 https://cordex.org/data-access/cordex-cmip6-data...
    cmor_version:            3.8.0

xarray.Dataset

• Dimensions:
  • rlat: 412
  • rlon: 424
  • vertices: 4
• Coordinates: (4)
  • rlat
    (rlat)
    float64
    -23.38 -23.27 ... 21.73 21.84

    units :

    degrees

    axis :

    Y

    long_name :

    latitude in rotated pole grid

    standard_name :

    grid_latitude

    array([-23.375, -23.265, -23.155, ...,  21.615,  21.725,  21.835])

  • rlon
    (rlon)
    float64
    -28.38 -28.27 ... 18.05 18.16

    units :

    degrees

    axis :

    X

    long_name :

    longitude in rotated pole grid

    standard_name :

    grid_longitude

    array([-28.375, -28.265, -28.155, ...,  17.935,  18.045,  18.155])

  • lat
    (rlat, rlon)
    float64
    ...

    standard_name :

    latitude

    long_name :

    latitude

    units :

    degrees_north

    bounds :

    vertices_lat

    [174688 values with dtype=float64]

  • lon
    (rlat, rlon)
    float64
    ...

    standard_name :

    longitude

    long_name :

    longitude

    units :

    degrees_east

    bounds :

    vertices_lon

    [174688 values with dtype=float64]

• Data variables: (4)
  • rotated_latitude_longitude
    ()
    int32
    ...

    grid_mapping_name :

    rotated_latitude_longitude

    grid_north_pole_latitude :

    39.25

    grid_north_pole_longitude :

    -162.0

    north_pole_grid_longitude :

    0.0

    [1 values with dtype=int32]

  • vertices_lat
    (rlat, rlon, vertices)
    float64
    ...

    units :

    degrees_north

    [698752 values with dtype=float64]

  • vertices_lon
    (rlat, rlon, vertices)
    float64
    ...

    units :

    degrees_east

    [698752 values with dtype=float64]

  • orog
    (rlat, rlon)
    float32
    ...

    standard_name :

    surface_altitude

    long_name :

    Surface Altitude

    units :

    m

    cell_methods :

    area: mean

    cell_measures :

    area: areacella

    grid_mapping :

    rotated_latitude_longitude

    [174688 values with dtype=float32]

• Indexes: (2)
  • rlat
    PandasIndex

    PandasIndex(Index([-23.375, -23.265, -23.155, -23.045, -22.935, -22.825, -22.715, -22.605,
           -22.495, -22.385,
           ...
            20.845,  20.955,  21.065,  21.175,  21.285,  21.395,  21.505,  21.615,
            21.725,  21.835],
          dtype='float64', name='rlat', length=412))

  • rlon
    PandasIndex

    PandasIndex(Index([-28.375, -28.265, -28.155, -28.045, -27.935, -27.825, -27.715, -27.605,
           -27.495, -27.385,
           ...
            17.165,  17.275,  17.385,  17.495,  17.605,  17.715,  17.825,  17.935,
            18.045,  18.155],
          dtype='float64', name='rlon', length=424))

• Attributes: (36)

  Conventions :

  CF-1.11

  activity_id :

  DD

  contact :

  gerics-cordex@hereon.de

  creation_date :

  2024-06-20T06:36:23Z

  domain :

  Europe

  domain_id :

  EUR-12

  driving_experiment :

  reanalysis simulation of the recent past

  driving_experiment_id :

  evaluation

  driving_institution_id :

  ECMWF

  driving_source_id :

  ERA5

  driving_variant_label :

  r1i1p1f1

  experiment_id :

  evaluation

  external_variables :

  areacella

  frequency :

  fx

  grid :

  Rotated-pole latitude-longitude with 0.11 degree grid spacing

  history :

  2024-06-20T06:36:23Z ;rewrote data to be consistent with CORDEX for variable orog found in table fx.

  institution :

  Climate Service Center Germany, Helmholtz Centre hereon GmbH, Hamburg, Germany

  institution_id :

  GERICS

  label :

  REMO2020

  mip_era :

  CMIP6

  product :

  model-output

  project_id :

  CORDEX

  realm :

  REALM

  references :

  https://www.remo-rcm.de

  run_variant :

  1st realization

  source :

  REMO regional model (2022)

  source_id :

  REMO2020

  source_type :

  ARCM

  table_id :

  fx

  table_info :

  Creation Date:(05 April 2024) MD5:48d6a0d158eeac713bdad57279c1277d

  title :

  REMO2020 output prepared for CMIP6

  tracking_id :

  hdl:21.14103/f22c8d79-55ed-42d3-9f44-1d0ca1be7148

  variable_id :

  orog

  version_realization :

  v1

  license :

  https://cordex.org/data-access/cordex-cmip6-data/cordex-cmip6-terms-of-use

  cmor_version :

  3.8.0

ds.orog.plot()

<matplotlib.collections.QuadMesh at 0x7f1bdfd6e3a0>

!cdo verifygrid $f

cdo    verifygrid: Grid consists of 174688 (424x412) cells (type: curvilinear), of which

cdo    verifygrid:    174688 cells have 4 vertices
cdo    verifygrid:        lon : -44.59386 to 64.96438 degrees
cdo    verifygrid:        lat : 21.98783 to 72.585 degrees
cdo    verifygrid: Processed 1 variable [0.12s 90MB]

!cfchecks $f

CHECKING NetCDF FILE: CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/fx/orog/v20240620/orog_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_fx.nc
=====================

Using CF Checker Version 4.1.0
Checking against CF Version CF-1.8
Using Standard Name Table Version 85 (2024-05-21T15:55:10Z)
Using Area Type Table Version 11 (06 July 2023)
Using Standardized Region Name Table Version 4 (18 December 2018)

ERROR: (2.6.1): This netCDF file does not appear to contain CF Convention data.
WARN: (7.1): Boundary var vertices_lat should not have attribute units
WARN: (7.1): Boundary var vertices_lon should not have attribute units

------------------
Checking variable: rlat
------------------

------------------
Checking variable: rlon
------------------

------------------
Checking variable: rotated_latitude_longitude
------------------

------------------
Checking variable: lat
------------------

------------------
Checking variable: lon
------------------

------------------
Checking variable: vertices_lat
------------------
WARN: (7.1): Boundary Variable vertices_lat should not have _FillValue attribute
WARN: (7.1): Boundary Variable vertices_lat should not have missing_value attribute

------------------
Checking variable: vertices_lon
------------------
WARN: (7.1): Boundary Variable vertices_lon should not have _FillValue attribute
WARN: (7.1): Boundary Variable vertices_lon should not have missing_value attribute

------------------
Checking variable: orog
------------------

ERRORS detected: 1
WARNINGS given: 6
INFORMATION messages: 0

!compliance-checker --test=cf:1.7 $f

Running Compliance Checker on the datasets from: ['CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/fx/orog/v20240620/orog_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_fx.nc']

--------------------------------------------------------------------------------
                         IOOS Compliance Checker Report                         
                                 Version 5.1.1                                  
                     Report generated 2024-06-20T06:36:29Z                      
                                     cf:1.7                                     
http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-conventions.html
--------------------------------------------------------------------------------
                               Corrective Actions                               
orog_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_fx.nc has 2 potential issues


                                    Warnings                                    
--------------------------------------------------------------------------------
§2.6 Attributes
* §2.6.1 Conventions global attribute does not contain "CF-1.7"

§7.1 Cell Boundaries
* The Boundary variables 'vertices_lat' should not have the attributes: '['units', 'missing_value', '_FillValue']'
* The Boundary variables 'vertices_lon' should not have the attributes: '['units', 'missing_value', '_FillValue']'
WARNING: The following exceptions occurred during the cf:1.7 checker (possibly indicate compliance checker issues):
cf:1.7.check_cell_boundaries_interval: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

Example from mon table

f = test_cmorizer_mon()
f

Downloading data from 'https://github.com/euro-cordex/py-cordex-data/raw/main/remo_EUR-11_TEMP2_mon.nc' to file '/home/runner/.cache/py-cordex_tutorial_data/6d6ccde2e368653ce62a71c80e75f890-remo_EUR-11_TEMP2_mon.nc'.

SHA256 hash of downloaded file: a585a11475492241a7a52963bbdf323af185163166e52924f1a04b4ff91b3ae6
Use this value as the 'known_hash' argument of 'pooch.retrieve' to ensure that the file hasn't changed if it is downloaded again in the future.

/home/runner/micromamba/envs/cordex-examples/lib/python3.9/site-packages/cordex/cmor/cmor.py:522: UserWarning: adding time bounds
  warn("adding time bounds")
/home/runner/micromamba/envs/cordex-examples/lib/python3.9/site-packages/cordex/cmor/cmor.py:324: UserWarning: time units are set to default: days since 1950-01-01T00:00:00
  warn(f"time units are set to default: {u}")
/home/runner/micromamba/envs/cordex-examples/lib/python3.9/site-packages/cordex/cmor/utils.py:335: UserWarning: writing temporary table to /tmp/tmpo0mcwi1s
  warn(f"writing temporary table to {filename}")

'CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/mon/tas/v20240620/tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_mon_200001-200012.nc'

ds = xr.open_dataset(f)
ds

<xarray.Dataset> Size: 22MB
Dimensions:                     (time: 12, bnds: 2, rlat: 412, rlon: 424,
                                 vertices: 4)
Coordinates:
  * time                        (time) datetime64[ns] 96B 2000-01-16T12:00:00...
  * rlat                        (rlat) float64 3kB -23.38 -23.27 ... 21.72 21.83
  * rlon                        (rlon) float64 3kB -28.38 -28.27 ... 18.04 18.15
    lat                         (rlat, rlon) float64 1MB ...
    lon                         (rlat, rlon) float64 1MB ...
    height                      float64 8B ...
Dimensions without coordinates: bnds, vertices
Data variables:
    time_bnds                   (time, bnds) datetime64[ns] 192B ...
    rotated_latitude_longitude  int32 4B ...
    vertices_lat                (rlat, rlon, vertices) float64 6MB ...
    vertices_lon                (rlat, rlon, vertices) float64 6MB ...
    tas                         (time, rlat, rlon) float32 8MB ...
Attributes: (12/36)
    Conventions:             CF-1.11
    activity_id:             DD
    contact:                 gerics-cordex@hereon.de
    creation_date:           2024-06-20T06:36:31Z
    domain:                  Europe
    domain_id:               EUR-12
    ...                      ...
    title:                   REMO2020 output prepared for CMIP6
    tracking_id:             hdl:21.14103/6aa75286-7b0d-449a-b7b5-3aa087595aec
    variable_id:             tas
    version_realization:     v1
    license:                 https://cordex.org/data-access/cordex-cmip6-data...
    cmor_version:            3.8.0

xarray.Dataset

• Dimensions:
  • time: 12
  • bnds: 2
  • rlat: 412
  • rlon: 424
  • vertices: 4
• Coordinates: (6)
  • time
    (time)
    datetime64[ns]
    2000-01-16T12:00:00 ... 2000-12-...

    bounds :

    time_bnds

    axis :

    T

    long_name :

    time

    standard_name :

    time

    array(['2000-01-16T12:00:00.000000000', '2000-02-15T12:00:00.000000000',
           '2000-03-16T12:00:00.000000000', '2000-04-16T00:00:00.000000000',
           '2000-05-16T12:00:00.000000000', '2000-06-16T00:00:00.000000000',
           '2000-07-16T12:00:00.000000000', '2000-08-16T12:00:00.000000000',
           '2000-09-16T00:00:00.000000000', '2000-10-16T12:00:00.000000000',
           '2000-11-16T00:00:00.000000000', '2000-12-16T12:00:00.000000000'],
          dtype='datetime64[ns]')

  • rlat
    (rlat)
    float64
    -23.38 -23.27 ... 21.72 21.83

    units :

    degrees

    axis :

    Y

    long_name :

    latitude in rotated pole grid

    standard_name :

    grid_latitude

    array([-23.375, -23.265, -23.155, ...,  21.615,  21.725,  21.835])

  • rlon
    (rlon)
    float64
    -28.38 -28.27 ... 18.04 18.15

    units :

    degrees

    axis :

    X

    long_name :

    longitude in rotated pole grid

    standard_name :

    grid_longitude

    array([-28.375, -28.265, -28.155, ...,  17.935,  18.045,  18.155])

  • lat
    (rlat, rlon)
    float64
    ...

    standard_name :

    latitude

    long_name :

    latitude

    units :

    degrees_north

    bounds :

    vertices_lat

    [174688 values with dtype=float64]

  • lon
    (rlat, rlon)
    float64
    ...

    standard_name :

    longitude

    long_name :

    longitude

    units :

    degrees_east

    bounds :

    vertices_lon

    [174688 values with dtype=float64]

  • height
    ()
    float64
    ...

    units :

    m

    axis :

    Z

    positive :

    up

    long_name :

    height

    standard_name :

    height

    [1 values with dtype=float64]

• Data variables: (5)
  • time_bnds
    (time, bnds)
    datetime64[ns]
    ...

    [24 values with dtype=datetime64[ns]]

  • rotated_latitude_longitude
    ()
    int32
    ...

    grid_mapping_name :

    rotated_latitude_longitude

    grid_north_pole_latitude :

    39.25

    grid_north_pole_longitude :

    -162.0

    north_pole_grid_longitude :

    0.0

    [1 values with dtype=int32]

  • vertices_lat
    (rlat, rlon, vertices)
    float64
    ...

    units :

    degrees_north

    [698752 values with dtype=float64]

  • vertices_lon
    (rlat, rlon, vertices)
    float64
    ...

    units :

    degrees_east

    [698752 values with dtype=float64]

  • tas
    (time, rlat, rlon)
    float32
    ...

    standard_name :

    air_temperature

    long_name :

    Near-Surface Air Temperature

    units :

    K

    cell_methods :

    area: time: mean

    cell_measures :

    area: areacella

    history :

    2024-06-20T06:36:31Z altered by CMOR: Treated scalar dimension: 'height'.

    grid_mapping :

    rotated_latitude_longitude

    [2096256 values with dtype=float32]

• Indexes: (3)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2000-01-16 12:00:00', '2000-02-15 12:00:00',
                   '2000-03-16 12:00:00', '2000-04-16 00:00:00',
                   '2000-05-16 12:00:00', '2000-06-16 00:00:00',
                   '2000-07-16 12:00:00', '2000-08-16 12:00:00',
                   '2000-09-16 00:00:00', '2000-10-16 12:00:00',
                   '2000-11-16 00:00:00', '2000-12-16 12:00:00'],
                  dtype='datetime64[ns]', name='time', freq=None))

  • rlat
    PandasIndex

    PandasIndex(Index([            -23.375,             -23.265,             -23.155,
                       -23.045, -22.935000000000002,             -22.825,
                       -22.715,             -22.605,             -22.495,
                       -22.385,
           ...
            20.845000000000002,  20.955000000000002,              21.065,
                        21.175,              21.285,              21.395,
                        21.505,              21.615,  21.724999999999998,
            21.834999999999997],
          dtype='float64', name='rlat', length=412))

  • rlon
    PandasIndex

    PandasIndex(Index([            -28.375,             -28.265,             -28.155,
                       -28.045, -27.935000000000002,             -27.825,
                       -27.715,             -27.605,             -27.495,
                       -27.385,
           ...
            17.165000000000003,  17.275000000000002,              17.385,
                        17.495,              17.605,              17.715,
                        17.825,              17.935,  18.044999999999998,
            18.154999999999998],
          dtype='float64', name='rlon', length=424))

• Attributes: (36)

  Conventions :

  CF-1.11

  activity_id :

  DD

  contact :

  gerics-cordex@hereon.de

  creation_date :

  2024-06-20T06:36:31Z

  domain :

  Europe

  domain_id :

  EUR-12

  driving_experiment :

  reanalysis simulation of the recent past

  driving_experiment_id :

  evaluation

  driving_institution_id :

  ECMWF

  driving_source_id :

  ERA5

  driving_variant_label :

  r1i1p1f1

  experiment_id :

  evaluation

  external_variables :

  areacella

  frequency :

  mon

  grid :

  Rotated-pole latitude-longitude with 0.11 degree grid spacing

  history :

  2024-06-20T06:36:31Z ;rewrote data to be consistent with CORDEX for variable tas found in table mon.

  institution :

  Climate Service Center Germany, Helmholtz Centre hereon GmbH, Hamburg, Germany

  institution_id :

  GERICS

  label :

  REMO2020

  mip_era :

  CMIP6

  product :

  model-output

  project_id :

  CORDEX

  realm :

  REALM

  references :

  https://www.remo-rcm.de

  run_variant :

  1st realization

  source :

  REMO regional model (2022)

  source_id :

  REMO2020

  source_type :

  ARCM

  table_id :

  mon

  table_info :

  Creation Date:(05 April 2024) MD5:48d6a0d158eeac713bdad57279c1277d

  title :

  REMO2020 output prepared for CMIP6

  tracking_id :

  hdl:21.14103/6aa75286-7b0d-449a-b7b5-3aa087595aec

  variable_id :

  tas

  version_realization :

  v1

  license :

  https://cordex.org/data-access/cordex-cmip6-data/cordex-cmip6-terms-of-use

  cmor_version :

  3.8.0

ds.cf

Coordinates:
             CF Axes: * X: ['rlon']
                      * Y: ['rlat']
                        Z: ['height']
                      * T: ['time']

      CF Coordinates:   longitude: ['lon']
                        latitude: ['lat']
                        vertical: ['height']
                      * time: ['time']

       Cell Measures:   area, volume: n/a

      Standard Names: * grid_latitude: ['rlat']
                      * grid_longitude: ['rlon']
                        height: ['height']
                        latitude: ['lat']
                        longitude: ['lon']
                      * time: ['time']

              Bounds:   n/a

       Grid Mappings:   n/a

Data Variables:
       Cell Measures:   area, volume: n/a

      Standard Names:   air_temperature: ['tas']

              Bounds:   T: ['time_bnds']
                        lat: ['vertices_lat']
                        latitude: ['vertices_lat']
                        lon: ['vertices_lon']
                        longitude: ['vertices_lon']
                        time: ['time_bnds']

       Grid Mappings:   rotated_latitude_longitude: ['rotated_latitude_longitude']

ds.tas.plot(col="time", col_wrap=4)

<xarray.plot.facetgrid.FacetGrid at 0x7f1bdebd2760>

!ncdump -h $f

netcdf tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_mon_200001-200012 {
dimensions:
	time = UNLIMITED ; // (12 currently)
	rlat = 412 ;
	rlon = 424 ;
	bnds = 2 ;
	vertices = 4 ;
variables:
	double time(time) ;
		time:bounds = "time_bnds" ;
		time:units = "days since 1950-01-01T00:00:00" ;
		time:calendar = "proleptic_gregorian" ;
		time:axis = "T" ;
		time:long_name = "time" ;
		time:standard_name = "time" ;
	double time_bnds(time, bnds) ;
	double rlat(rlat) ;
		rlat:units = "degrees" ;
		rlat:axis = "Y" ;
		rlat:long_name = "latitude in rotated pole grid" ;
		rlat:standard_name = "grid_latitude" ;
	double rlon(rlon) ;
		rlon:units = "degrees" ;
		rlon:axis = "X" ;
		rlon:long_name = "longitude in rotated pole grid" ;
		rlon:standard_name = "grid_longitude" ;
	int rotated_latitude_longitude ;
		rotated_latitude_longitude:grid_mapping_name = "rotated_latitude_longitude" ;
		rotated_latitude_longitude:grid_north_pole_latitude = 39.25 ;
		rotated_latitude_longitude:grid_north_pole_longitude = -162. ;
		rotated_latitude_longitude:north_pole_grid_longitude = 0. ;
	double lat(rlat, rlon) ;
		lat:standard_name = "latitude" ;
		lat:long_name = "latitude" ;
		lat:units = "degrees_north" ;
		lat:missing_value = 1.e+20 ;
		lat:_FillValue = 1.e+20 ;
		lat:bounds = "vertices_lat" ;
	double lon(rlat, rlon) ;
		lon:standard_name = "longitude" ;
		lon:long_name = "longitude" ;
		lon:units = "degrees_east" ;
		lon:missing_value = 1.e+20 ;
		lon:_FillValue = 1.e+20 ;
		lon:bounds = "vertices_lon" ;
	double vertices_lat(rlat, rlon, vertices) ;
		vertices_lat:units = "degrees_north" ;
		vertices_lat:missing_value = 1.e+20 ;
		vertices_lat:_FillValue = 1.e+20 ;
	double vertices_lon(rlat, rlon, vertices) ;
		vertices_lon:units = "degrees_east" ;
		vertices_lon:missing_value = 1.e+20 ;
		vertices_lon:_FillValue = 1.e+20 ;
	double height ;
		height:units = "m" ;
		height:axis = "Z" ;
		height:positive = "up" ;
		height:long_name = "height" ;
		height:standard_name = "height" ;
	float tas(time, rlat, rlon) ;
		tas:standard_name = "air_temperature" ;
		tas:long_name = "Near-Surface Air Temperature" ;
		tas:units = "K" ;
		tas:cell_methods = "area: time: mean" ;
		tas:cell_measures = "area: areacella" ;
		tas:history = "2024-06-20T06:36:31Z altered by CMOR: Treated scalar dimension: \'height\'." ;
		tas:coordinates = "height lat lon" ;
		tas:missing_value = 1.e+20f ;
		tas:_FillValue = 1.e+20f ;
		tas:grid_mapping = "rotated_latitude_longitude" ;

// global attributes:
		:Conventions = "CF-1.11" ;
		:activity_id = "DD" ;
		:contact = "gerics-cordex@hereon.de" ;
		:creation_date = "2024-06-20T06:36:31Z" ;
		:domain = "Europe" ;
		:domain_id = "EUR-12" ;
		:driving_experiment = "reanalysis simulation of the recent past" ;
		:driving_experiment_id = "evaluation" ;
		:driving_institution_id = "ECMWF" ;
		:driving_source_id = "ERA5" ;
		:driving_variant_label = "r1i1p1f1" ;
		:experiment_id = "evaluation" ;
		:external_variables = "areacella" ;
		:frequency = "mon" ;
		:grid = "Rotated-pole latitude-longitude with 0.11 degree grid spacing" ;
		:history = "2024-06-20T06:36:31Z ;rewrote data to be consistent with CORDEX for variable tas found in table mon." ;
		:institution = "Climate Service Center Germany, Helmholtz Centre hereon GmbH, Hamburg, Germany" ;
		:institution_id = "GERICS" ;
		:label = "REMO2020" ;
		:mip_era = "CMIP6" ;
		:product = "model-output" ;
		:project_id = "CORDEX" ;
		:realm = "REALM" ;
		:references = "https://www.remo-rcm.de" ;
		:run_variant = "1st realization" ;
		:source = "REMO regional model (2022)" ;
		:source_id = "REMO2020" ;
		:source_type = "ARCM" ;
		:table_id = "mon" ;
		:table_info = "Creation Date:(05 April 2024) MD5:48d6a0d158eeac713bdad57279c1277d" ;
		:title = "REMO2020 output prepared for CMIP6" ;
		:tracking_id = "hdl:21.14103/6aa75286-7b0d-449a-b7b5-3aa087595aec" ;
		:variable_id = "tas" ;
		:version_realization = "v1" ;
		:license = "https://cordex.org/data-access/cordex-cmip6-data/cordex-cmip6-terms-of-use" ;
		:cmor_version = "3.8.0" ;
}

!cfchecks $f

CHECKING NetCDF FILE: CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/mon/tas/v20240620/tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_mon_200001-200012.nc
=====================

Using CF Checker Version 4.1.0
Checking against CF Version CF-1.8
Using Standard Name Table Version 85 (2024-05-21T15:55:10Z)
Using Area Type Table Version 11 (06 July 2023)
Using Standardized Region Name Table Version 4 (18 December 2018)

ERROR: (2.6.1): This netCDF file does not appear to contain CF Convention data.
WARN: (7.1): Boundary var vertices_lat should not have attribute units
WARN: (7.1): Boundary var vertices_lon should not have attribute units

------------------
Checking variable: time
------------------

------------------
Checking variable: time_bnds
------------------

------------------
Checking variable: rlat
------------------

------------------
Checking variable: rlon
------------------

------------------
Checking variable: rotated_latitude_longitude
------------------

------------------
Checking variable: lat
------------------

------------------
Checking variable: lon
------------------

------------------
Checking variable: vertices_lat
------------------
WARN: (7.1): Boundary Variable vertices_lat should not have _FillValue attribute
WARN: (7.1): Boundary Variable vertices_lat should not have missing_value attribute

------------------
Checking variable: vertices_lon
------------------
WARN: (7.1): Boundary Variable vertices_lon should not have _FillValue attribute
WARN: (7.1): Boundary Variable vertices_lon should not have missing_value attribute

------------------
Checking variable: height
------------------

------------------
Checking variable: tas
------------------
INFO: attribute history is being used in a non-standard way

ERRORS detected: 1
WARNINGS given: 6
INFORMATION messages: 1

!compliance-checker --test=cf:1.7 $f

Running Compliance Checker on the datasets from: ['CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/mon/tas/v20240620/tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_mon_200001-200012.nc']

--------------------------------------------------------------------------------
                         IOOS Compliance Checker Report                         
                                 Version 5.1.1                                  
                     Report generated 2024-06-20T06:36:38Z                      
                                     cf:1.7                                     
http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-conventions.html
--------------------------------------------------------------------------------
                               Corrective Actions                               
tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_mon_200001-200012.nc has 2 potential issues


                                    Warnings                                    
--------------------------------------------------------------------------------
§2.6 Attributes
* §2.6.1 Conventions global attribute does not contain "CF-1.7"

§7.1 Cell Boundaries
* The Boundary variables 'vertices_lat' should not have the attributes: '['units', 'missing_value', '_FillValue']'
* The Boundary variables 'vertices_lon' should not have the attributes: '['units', 'missing_value', '_FillValue']'

Example from daily and subdaily tables

f = test_cmorizer_subdaily("1hr")
f

Downloading data from 'https://github.com/euro-cordex/py-cordex-data/raw/main/remo_EUR-11_TEMP2_1hr.nc' to file '/home/runner/.cache/py-cordex_tutorial_data/df1ad3551d1e9e1f102d1a1536d5212c-remo_EUR-11_TEMP2_1hr.nc'.

SHA256 hash of downloaded file: 0ddd4c71be010a5656ed624aa6bfd3c3fa6238d8c61c9f39b1494c4188f060a8
Use this value as the 'known_hash' argument of 'pooch.retrieve' to ensure that the file hasn't changed if it is downloaded again in the future.

/home/runner/micromamba/envs/cordex-examples/lib/python3.9/site-packages/cordex/cmor/cmor.py:324: UserWarning: time units are set to default: days since 1950-01-01T00:00:00
  warn(f"time units are set to default: {u}")
/home/runner/micromamba/envs/cordex-examples/lib/python3.9/site-packages/cordex/cmor/utils.py:335: UserWarning: writing temporary table to /tmp/tmp21_620u7
  warn(f"writing temporary table to {filename}")

'CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/1hr/tas/v20240620/tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_1hr_200001010000-200001030000.nc'

ds = xr.open_dataset(f)
ds

<xarray.Dataset> Size: 48MB
Dimensions:                     (time: 49, rlat: 412, rlon: 424, vertices: 4)
Coordinates:
  * time                        (time) datetime64[ns] 392B 2000-01-01 ... 200...
  * rlat                        (rlat) float64 3kB -23.38 -23.27 ... 21.72 21.83
  * rlon                        (rlon) float64 3kB -28.38 -28.27 ... 18.04 18.15
    lat                         (rlat, rlon) float64 1MB ...
    lon                         (rlat, rlon) float64 1MB ...
    height                      float64 8B ...
Dimensions without coordinates: vertices
Data variables:
    rotated_latitude_longitude  int32 4B ...
    vertices_lat                (rlat, rlon, vertices) float64 6MB ...
    vertices_lon                (rlat, rlon, vertices) float64 6MB ...
    tas                         (time, rlat, rlon) float32 34MB ...
Attributes: (12/36)
    Conventions:             CF-1.11
    activity_id:             DD
    contact:                 gerics-cordex@hereon.de
    creation_date:           2024-06-20T06:36:41Z
    domain:                  Europe
    domain_id:               EUR-12
    ...                      ...
    title:                   REMO2020 output prepared for CMIP6
    tracking_id:             hdl:21.14103/c2e05863-b886-43b9-976e-150e55c5f122
    variable_id:             tas
    version_realization:     v1
    license:                 https://cordex.org/data-access/cordex-cmip6-data...
    cmor_version:            3.8.0

xarray.Dataset

• Dimensions:
  • time: 49
  • rlat: 412
  • rlon: 424
  • vertices: 4
• Coordinates: (6)
  • time
    (time)
    datetime64[ns]
    2000-01-01 ... 2000-01-03

    axis :

    T

    long_name :

    time

    standard_name :

    time

    array(['2000-01-01T00:00:00.000000000', '2000-01-01T01:00:00.000000000',
           '2000-01-01T02:00:00.000000000', '2000-01-01T03:00:00.000000000',
           '2000-01-01T04:00:00.000000000', '2000-01-01T05:00:00.000000000',
           '2000-01-01T06:00:00.000000000', '2000-01-01T07:00:00.000000000',
           '2000-01-01T08:00:00.000000000', '2000-01-01T09:00:00.000000000',
           '2000-01-01T10:00:00.000000000', '2000-01-01T11:00:00.000000000',
           '2000-01-01T12:00:00.000000000', '2000-01-01T13:00:00.000000000',
           '2000-01-01T14:00:00.000000000', '2000-01-01T15:00:00.000000000',
           '2000-01-01T16:00:00.000000000', '2000-01-01T17:00:00.000000000',
           '2000-01-01T18:00:00.000000000', '2000-01-01T19:00:00.000000000',
           '2000-01-01T20:00:00.000000000', '2000-01-01T21:00:00.000000000',
           '2000-01-01T22:00:00.000000000', '2000-01-01T23:00:00.000000000',
           '2000-01-02T00:00:00.000000000', '2000-01-02T01:00:00.000000000',
           '2000-01-02T02:00:00.000000000', '2000-01-02T03:00:00.000000000',
           '2000-01-02T04:00:00.000000000', '2000-01-02T05:00:00.000000000',
           '2000-01-02T06:00:00.000000000', '2000-01-02T07:00:00.000000000',
           '2000-01-02T08:00:00.000000000', '2000-01-02T09:00:00.000000000',
           '2000-01-02T10:00:00.000000000', '2000-01-02T11:00:00.000000000',
           '2000-01-02T12:00:00.000000000', '2000-01-02T13:00:00.000000000',
           '2000-01-02T14:00:00.000000000', '2000-01-02T15:00:00.000000000',
           '2000-01-02T16:00:00.000000000', '2000-01-02T17:00:00.000000000',
           '2000-01-02T18:00:00.000000000', '2000-01-02T19:00:00.000000000',
           '2000-01-02T20:00:00.000000000', '2000-01-02T21:00:00.000000000',
           '2000-01-02T22:00:00.000000000', '2000-01-02T23:00:00.000000000',
           '2000-01-03T00:00:00.000000000'], dtype='datetime64[ns]')

  • rlat
    (rlat)
    float64
    -23.38 -23.27 ... 21.72 21.83

    units :

    degrees

    axis :

    Y

    long_name :

    latitude in rotated pole grid

    standard_name :

    grid_latitude

    array([-23.375, -23.265, -23.155, ...,  21.615,  21.725,  21.835])

  • rlon
    (rlon)
    float64
    -28.38 -28.27 ... 18.04 18.15

    units :

    degrees

    axis :

    X

    long_name :

    longitude in rotated pole grid

    standard_name :

    grid_longitude

    array([-28.375, -28.265, -28.155, ...,  17.935,  18.045,  18.155])

  • lat
    (rlat, rlon)
    float64
    ...

    standard_name :

    latitude

    long_name :

    latitude

    units :

    degrees_north

    bounds :

    vertices_lat

    [174688 values with dtype=float64]

  • lon
    (rlat, rlon)
    float64
    ...

    standard_name :

    longitude

    long_name :

    longitude

    units :

    degrees_east

    bounds :

    vertices_lon

    [174688 values with dtype=float64]

  • height
    ()
    float64
    ...

    units :

    m

    axis :

    Z

    positive :

    up

    long_name :

    height

    standard_name :

    height

    [1 values with dtype=float64]

• Data variables: (4)
  • rotated_latitude_longitude
    ()
    int32
    ...

    grid_mapping_name :

    rotated_latitude_longitude

    grid_north_pole_latitude :

    39.25

    grid_north_pole_longitude :

    -162.0

    north_pole_grid_longitude :

    0.0

    [1 values with dtype=int32]

  • vertices_lat
    (rlat, rlon, vertices)
    float64
    ...

    units :

    degrees_north

    [698752 values with dtype=float64]

  • vertices_lon
    (rlat, rlon, vertices)
    float64
    ...

    units :

    degrees_east

    [698752 values with dtype=float64]

  • tas
    (time, rlat, rlon)
    float32
    ...

    standard_name :

    air_temperature

    long_name :

    Near-Surface Air Temperature

    units :

    K

    cell_methods :

    area: mean time: point

    cell_measures :

    area: areacella

    history :

    2024-06-20T06:36:41Z altered by CMOR: Treated scalar dimension: 'height'.

    grid_mapping :

    rotated_latitude_longitude

    [8559712 values with dtype=float32]

• Indexes: (3)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2000-01-01 00:00:00', '2000-01-01 01:00:00',
                   '2000-01-01 02:00:00', '2000-01-01 03:00:00',
                   '2000-01-01 04:00:00', '2000-01-01 05:00:00',
                   '2000-01-01 06:00:00', '2000-01-01 07:00:00',
                   '2000-01-01 08:00:00', '2000-01-01 09:00:00',
                   '2000-01-01 10:00:00', '2000-01-01 11:00:00',
                   '2000-01-01 12:00:00', '2000-01-01 13:00:00',
                   '2000-01-01 14:00:00', '2000-01-01 15:00:00',
                   '2000-01-01 16:00:00', '2000-01-01 17:00:00',
                   '2000-01-01 18:00:00', '2000-01-01 19:00:00',
                   '2000-01-01 20:00:00', '2000-01-01 21:00:00',
                   '2000-01-01 22:00:00', '2000-01-01 23:00:00',
                   '2000-01-02 00:00:00', '2000-01-02 01:00:00',
                   '2000-01-02 02:00:00', '2000-01-02 03:00:00',
                   '2000-01-02 04:00:00', '2000-01-02 05:00:00',
                   '2000-01-02 06:00:00', '2000-01-02 07:00:00',
                   '2000-01-02 08:00:00', '2000-01-02 09:00:00',
                   '2000-01-02 10:00:00', '2000-01-02 11:00:00',
                   '2000-01-02 12:00:00', '2000-01-02 13:00:00',
                   '2000-01-02 14:00:00', '2000-01-02 15:00:00',
                   '2000-01-02 16:00:00', '2000-01-02 17:00:00',
                   '2000-01-02 18:00:00', '2000-01-02 19:00:00',
                   '2000-01-02 20:00:00', '2000-01-02 21:00:00',
                   '2000-01-02 22:00:00', '2000-01-02 23:00:00',
                   '2000-01-03 00:00:00'],
                  dtype='datetime64[ns]', name='time', freq=None))

  • rlat
    PandasIndex

    PandasIndex(Index([            -23.375,             -23.265,             -23.155,
                       -23.045, -22.935000000000002,             -22.825,
                       -22.715,             -22.605,             -22.495,
                       -22.385,
           ...
            20.845000000000002,  20.955000000000002,              21.065,
                        21.175,              21.285,              21.395,
                        21.505,              21.615,  21.724999999999998,
            21.834999999999997],
          dtype='float64', name='rlat', length=412))

  • rlon
    PandasIndex

    PandasIndex(Index([            -28.375,             -28.265,             -28.155,
                       -28.045, -27.935000000000002,             -27.825,
                       -27.715,             -27.605,             -27.495,
                       -27.385,
           ...
            17.165000000000003,  17.275000000000002,              17.385,
                        17.495,              17.605,              17.715,
                        17.825,              17.935,  18.044999999999998,
            18.154999999999998],
          dtype='float64', name='rlon', length=424))

• Attributes: (36)

  Conventions :

  CF-1.11

  activity_id :

  DD

  contact :

  gerics-cordex@hereon.de

  creation_date :

  2024-06-20T06:36:41Z

  domain :

  Europe

  domain_id :

  EUR-12

  driving_experiment :

  reanalysis simulation of the recent past

  driving_experiment_id :

  evaluation

  driving_institution_id :

  ECMWF

  driving_source_id :

  ERA5

  driving_variant_label :

  r1i1p1f1

  experiment_id :

  evaluation

  external_variables :

  areacella

  frequency :

  1hr

  grid :

  Rotated-pole latitude-longitude with 0.11 degree grid spacing

  history :

  2024-06-20T06:36:41Z ;rewrote data to be consistent with CORDEX for variable tas found in table 1hr.

  institution :

  Climate Service Center Germany, Helmholtz Centre hereon GmbH, Hamburg, Germany

  institution_id :

  GERICS

  label :

  REMO2020

  mip_era :

  CMIP6

  product :

  model-output

  project_id :

  CORDEX

  realm :

  REALM

  references :

  https://www.remo-rcm.de

  run_variant :

  1st realization

  source :

  REMO regional model (2022)

  source_id :

  REMO2020

  source_type :

  ARCM

  table_id :

  1hr

  table_info :

  Creation Date:(05 April 2024) MD5:48d6a0d158eeac713bdad57279c1277d

  title :

  REMO2020 output prepared for CMIP6

  tracking_id :

  hdl:21.14103/c2e05863-b886-43b9-976e-150e55c5f122

  variable_id :

  tas

  version_realization :

  v1

  license :

  https://cordex.org/data-access/cordex-cmip6-data/cordex-cmip6-terms-of-use

  cmor_version :

  3.8.0

!ncdump -h $f

netcdf tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_1hr_200001010000-200001030000 {
dimensions:
	time = UNLIMITED ; // (49 currently)
	rlat = 412 ;
	rlon = 424 ;
	bnds = 2 ;
	vertices = 4 ;
variables:
	double time(time) ;
		time:units = "days since 1950-01-01T00:00:00" ;
		time:calendar = "proleptic_gregorian" ;
		time:axis = "T" ;
		time:long_name = "time" ;
		time:standard_name = "time" ;
	double rlat(rlat) ;
		rlat:units = "degrees" ;
		rlat:axis = "Y" ;
		rlat:long_name = "latitude in rotated pole grid" ;
		rlat:standard_name = "grid_latitude" ;
	double rlon(rlon) ;
		rlon:units = "degrees" ;
		rlon:axis = "X" ;
		rlon:long_name = "longitude in rotated pole grid" ;
		rlon:standard_name = "grid_longitude" ;
	int rotated_latitude_longitude ;
		rotated_latitude_longitude:grid_mapping_name = "rotated_latitude_longitude" ;
		rotated_latitude_longitude:grid_north_pole_latitude = 39.25 ;
		rotated_latitude_longitude:grid_north_pole_longitude = -162. ;
		rotated_latitude_longitude:north_pole_grid_longitude = 0. ;
	double lat(rlat, rlon) ;
		lat:standard_name = "latitude" ;
		lat:long_name = "latitude" ;
		lat:units = "degrees_north" ;
		lat:missing_value = 1.e+20 ;
		lat:_FillValue = 1.e+20 ;
		lat:bounds = "vertices_lat" ;
	double lon(rlat, rlon) ;
		lon:standard_name = "longitude" ;
		lon:long_name = "longitude" ;
		lon:units = "degrees_east" ;
		lon:missing_value = 1.e+20 ;
		lon:_FillValue = 1.e+20 ;
		lon:bounds = "vertices_lon" ;
	double vertices_lat(rlat, rlon, vertices) ;
		vertices_lat:units = "degrees_north" ;
		vertices_lat:missing_value = 1.e+20 ;
		vertices_lat:_FillValue = 1.e+20 ;
	double vertices_lon(rlat, rlon, vertices) ;
		vertices_lon:units = "degrees_east" ;
		vertices_lon:missing_value = 1.e+20 ;
		vertices_lon:_FillValue = 1.e+20 ;
	double height ;
		height:units = "m" ;
		height:axis = "Z" ;
		height:positive = "up" ;
		height:long_name = "height" ;
		height:standard_name = "height" ;
	float tas(time, rlat, rlon) ;
		tas:standard_name = "air_temperature" ;
		tas:long_name = "Near-Surface Air Temperature" ;
		tas:units = "K" ;
		tas:cell_methods = "area: mean time: point" ;
		tas:cell_measures = "area: areacella" ;
		tas:history = "2024-06-20T06:36:41Z altered by CMOR: Treated scalar dimension: \'height\'." ;
		tas:coordinates = "height lat lon" ;
		tas:missing_value = 1.e+20f ;
		tas:_FillValue = 1.e+20f ;
		tas:grid_mapping = "rotated_latitude_longitude" ;

// global attributes:
		:Conventions = "CF-1.11" ;
		:activity_id = "DD" ;
		:contact = "gerics-cordex@hereon.de" ;
		:creation_date = "2024-06-20T06:36:41Z" ;
		:domain = "Europe" ;
		:domain_id = "EUR-12" ;
		:driving_experiment = "reanalysis simulation of the recent past" ;
		:driving_experiment_id = "evaluation" ;
		:driving_institution_id = "ECMWF" ;
		:driving_source_id = "ERA5" ;
		:driving_variant_label = "r1i1p1f1" ;
		:experiment_id = "evaluation" ;
		:external_variables = "areacella" ;
		:frequency = "1hr" ;
		:grid = "Rotated-pole latitude-longitude with 0.11 degree grid spacing" ;
		:history = "2024-06-20T06:36:41Z ;rewrote data to be consistent with CORDEX for variable tas found in table 1hr." ;
		:institution = "Climate Service Center Germany, Helmholtz Centre hereon GmbH, Hamburg, Germany" ;
		:institution_id = "GERICS" ;
		:label = "REMO2020" ;
		:mip_era = "CMIP6" ;
		:product = "model-output" ;
		:project_id = "CORDEX" ;
		:realm = "REALM" ;
		:references = "https://www.remo-rcm.de" ;
		:run_variant = "1st realization" ;
		:source = "REMO regional model (2022)" ;
		:source_id = "REMO2020" ;
		:source_type = "ARCM" ;
		:table_id = "1hr" ;
		:table_info = "Creation Date:(05 April 2024) MD5:48d6a0d158eeac713bdad57279c1277d" ;
		:title = "REMO2020 output prepared for CMIP6" ;
		:tracking_id = "hdl:21.14103/c2e05863-b886-43b9-976e-150e55c5f122" ;
		:variable_id = "tas" ;
		:version_realization = "v1" ;
		:license = "https://cordex.org/data-access/cordex-cmip6-data/cordex-cmip6-terms-of-use" ;
		:cmor_version = "3.8.0" ;
}

!cfchecks $f

CHECKING NetCDF FILE: CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/1hr/tas/v20240620/tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_1hr_200001010000-200001030000.nc
=====================

Using CF Checker Version 4.1.0
Checking against CF Version CF-1.8
Using Standard Name Table Version 85 (2024-05-21T15:55:10Z)
Using Area Type Table Version 11 (06 July 2023)
Using Standardized Region Name Table Version 4 (18 December 2018)

ERROR: (2.6.1): This netCDF file does not appear to contain CF Convention data.
WARN: (7.1): Boundary var vertices_lat should not have attribute units
WARN: (7.1): Boundary var vertices_lon should not have attribute units

------------------
Checking variable: time
------------------

------------------
Checking variable: rlat
------------------

------------------
Checking variable: rlon
------------------

------------------
Checking variable: rotated_latitude_longitude
------------------

------------------
Checking variable: lat
------------------

------------------
Checking variable: lon
------------------

------------------
Checking variable: vertices_lat
------------------
WARN: (7.1): Boundary Variable vertices_lat should not have _FillValue attribute
WARN: (7.1): Boundary Variable vertices_lat should not have missing_value attribute

------------------
Checking variable: vertices_lon
------------------
WARN: (7.1): Boundary Variable vertices_lon should not have _FillValue attribute
WARN: (7.1): Boundary Variable vertices_lon should not have missing_value attribute

------------------
Checking variable: height
------------------

------------------
Checking variable: tas
------------------
INFO: attribute history is being used in a non-standard way

ERRORS detected: 1
WARNINGS given: 6
INFORMATION messages: 1

!compliance-checker --test=cf:1.7 $f

Running Compliance Checker on the datasets from: ['CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/1hr/tas/v20240620/tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_1hr_200001010000-200001030000.nc']

--------------------------------------------------------------------------------
                         IOOS Compliance Checker Report                         
                                 Version 5.1.1                                  
                     Report generated 2024-06-20T06:36:44Z                      
                                     cf:1.7                                     
http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-conventions.html
--------------------------------------------------------------------------------
                               Corrective Actions                               
tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_1hr_200001010000-200001030000.nc has 2 potential issues


                                    Warnings                                    
--------------------------------------------------------------------------------
§2.6 Attributes
* §2.6.1 Conventions global attribute does not contain "CF-1.7"

§7.1 Cell Boundaries
* The Boundary variables 'vertices_lat' should not have the attributes: '['units', 'missing_value', '_FillValue']'
* The Boundary variables 'vertices_lon' should not have the attributes: '['units', 'missing_value', '_FillValue']'
WARNING: The following exceptions occurred during the cf:1.7 checker (possibly indicate compliance checker issues):
cf:1.7.check_cell_boundaries_interval: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

# cordex.cmor will automatically resample hourly to other frequencies
# depending on the frequency in the cmor table and the frequency in the
# input dataset
f = test_cmorizer_subdaily("day")
f

/home/runner/micromamba/envs/cordex-examples/lib/python3.9/site-packages/cordex/cmor/cmor.py:413: UserWarning: resampling input data from H to D
  warn(f"resampling input data from {input_freq} to {pd_freq}")
<string>:10: FutureWarning: Following pandas, the `loffset` parameter to resample is deprecated.  Switch to updating the resampled dataset time coordinate using time offset arithmetic.  For example:
    >>> offset = pd.tseries.frequencies.to_offset(freq) / 2
    >>> resampled_ds["time"] = resampled_ds.get_index("time") + offset
/home/runner/micromamba/envs/cordex-examples/lib/python3.9/site-packages/cordex/cmor/cmor.py:522: UserWarning: adding time bounds
  warn("adding time bounds")
/home/runner/micromamba/envs/cordex-examples/lib/python3.9/site-packages/cordex/cmor/cmor.py:324: UserWarning: time units are set to default: days since 1950-01-01T00:00:00
  warn(f"time units are set to default: {u}")
/home/runner/micromamba/envs/cordex-examples/lib/python3.9/site-packages/cordex/cmor/utils.py:335: UserWarning: writing temporary table to /tmp/tmp6xs_kg1m
  warn(f"writing temporary table to {filename}")

'CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/day/tas/v20240620/tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_day_20000101-20000103.nc'

ds = xr.open_dataset(f)
ds

<xarray.Dataset> Size: 16MB
Dimensions:                     (time: 3, bnds: 2, rlat: 412, rlon: 424,
                                 vertices: 4)
Coordinates:
  * time                        (time) datetime64[ns] 24B 2000-01-01T12:00:00...
  * rlat                        (rlat) float64 3kB -23.38 -23.27 ... 21.72 21.83
  * rlon                        (rlon) float64 3kB -28.38 -28.27 ... 18.04 18.15
    lat                         (rlat, rlon) float64 1MB ...
    lon                         (rlat, rlon) float64 1MB ...
    height                      float64 8B ...
Dimensions without coordinates: bnds, vertices
Data variables:
    time_bnds                   (time, bnds) datetime64[ns] 48B ...
    rotated_latitude_longitude  int32 4B ...
    vertices_lat                (rlat, rlon, vertices) float64 6MB ...
    vertices_lon                (rlat, rlon, vertices) float64 6MB ...
    tas                         (time, rlat, rlon) float32 2MB ...
Attributes: (12/36)
    Conventions:             CF-1.11
    activity_id:             DD
    contact:                 gerics-cordex@hereon.de
    creation_date:           2024-06-20T06:36:44Z
    domain:                  Europe
    domain_id:               EUR-12
    ...                      ...
    title:                   REMO2020 output prepared for CMIP6
    tracking_id:             hdl:21.14103/551317c5-aa22-4a21-affc-735349393877
    variable_id:             tas
    version_realization:     v1
    license:                 https://cordex.org/data-access/cordex-cmip6-data...
    cmor_version:            3.8.0

xarray.Dataset

• Dimensions:
  • time: 3
  • bnds: 2
  • rlat: 412
  • rlon: 424
  • vertices: 4
• Coordinates: (6)
  • time
    (time)
    datetime64[ns]
    2000-01-01T12:00:00 ... 2000-01-...

    bounds :

    time_bnds

    axis :

    T

    long_name :

    time

    standard_name :

    time

    array(['2000-01-01T12:00:00.000000000', '2000-01-02T12:00:00.000000000',
           '2000-01-03T12:00:00.000000000'], dtype='datetime64[ns]')

  • rlat
    (rlat)
    float64
    -23.38 -23.27 ... 21.72 21.83

    units :

    degrees

    axis :

    Y

    long_name :

    latitude in rotated pole grid

    standard_name :

    grid_latitude

    array([-23.375, -23.265, -23.155, ...,  21.615,  21.725,  21.835])

  • rlon
    (rlon)
    float64
    -28.38 -28.27 ... 18.04 18.15

    units :

    degrees

    axis :

    X

    long_name :

    longitude in rotated pole grid

    standard_name :

    grid_longitude

    array([-28.375, -28.265, -28.155, ...,  17.935,  18.045,  18.155])

  • lat
    (rlat, rlon)
    float64
    ...

    standard_name :

    latitude

    long_name :

    latitude

    units :

    degrees_north

    bounds :

    vertices_lat

    [174688 values with dtype=float64]

  • lon
    (rlat, rlon)
    float64
    ...

    standard_name :

    longitude

    long_name :

    longitude

    units :

    degrees_east

    bounds :

    vertices_lon

    [174688 values with dtype=float64]

  • height
    ()
    float64
    ...

    units :

    m

    axis :

    Z

    positive :

    up

    long_name :

    height

    standard_name :

    height

    [1 values with dtype=float64]

• Data variables: (5)
  • time_bnds
    (time, bnds)
    datetime64[ns]
    ...

    [6 values with dtype=datetime64[ns]]

  • rotated_latitude_longitude
    ()
    int32
    ...

    grid_mapping_name :

    rotated_latitude_longitude

    grid_north_pole_latitude :

    39.25

    grid_north_pole_longitude :

    -162.0

    north_pole_grid_longitude :

    0.0

    [1 values with dtype=int32]

  • vertices_lat
    (rlat, rlon, vertices)
    float64
    ...

    units :

    degrees_north

    [698752 values with dtype=float64]

  • vertices_lon
    (rlat, rlon, vertices)
    float64
    ...

    units :

    degrees_east

    [698752 values with dtype=float64]

  • tas
    (time, rlat, rlon)
    float32
    ...

    standard_name :

    air_temperature

    long_name :

    Near-Surface Air Temperature

    units :

    K

    cell_methods :

    area: time: mean

    cell_measures :

    area: areacella

    history :

    2024-06-20T06:36:44Z altered by CMOR: Treated scalar dimension: 'height'.

    grid_mapping :

    rotated_latitude_longitude

    [524064 values with dtype=float32]

• Indexes: (3)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2000-01-01 12:00:00', '2000-01-02 12:00:00',
                   '2000-01-03 12:00:00'],
                  dtype='datetime64[ns]', name='time', freq=None))

  • rlat
    PandasIndex

    PandasIndex(Index([            -23.375,             -23.265,             -23.155,
                       -23.045, -22.935000000000002,             -22.825,
                       -22.715,             -22.605,             -22.495,
                       -22.385,
           ...
            20.845000000000002,  20.955000000000002,              21.065,
                        21.175,              21.285,              21.395,
                        21.505,              21.615,  21.724999999999998,
            21.834999999999997],
          dtype='float64', name='rlat', length=412))

  • rlon
    PandasIndex

    PandasIndex(Index([            -28.375,             -28.265,             -28.155,
                       -28.045, -27.935000000000002,             -27.825,
                       -27.715,             -27.605,             -27.495,
                       -27.385,
           ...
            17.165000000000003,  17.275000000000002,              17.385,
                        17.495,              17.605,              17.715,
                        17.825,              17.935,  18.044999999999998,
            18.154999999999998],
          dtype='float64', name='rlon', length=424))

• Attributes: (36)

  Conventions :

  CF-1.11

  activity_id :

  DD

  contact :

  gerics-cordex@hereon.de

  creation_date :

  2024-06-20T06:36:44Z

  domain :

  Europe

  domain_id :

  EUR-12

  driving_experiment :

  reanalysis simulation of the recent past

  driving_experiment_id :

  evaluation

  driving_institution_id :

  ECMWF

  driving_source_id :

  ERA5

  driving_variant_label :

  r1i1p1f1

  experiment_id :

  evaluation

  external_variables :

  areacella

  frequency :

  day

  grid :

  Rotated-pole latitude-longitude with 0.11 degree grid spacing

  history :

  2024-06-20T06:36:44Z ;rewrote data to be consistent with CORDEX for variable tas found in table day.

  institution :

  Climate Service Center Germany, Helmholtz Centre hereon GmbH, Hamburg, Germany

  institution_id :

  GERICS

  label :

  REMO2020

  mip_era :

  CMIP6

  product :

  model-output

  project_id :

  CORDEX

  realm :

  REALM

  references :

  https://www.remo-rcm.de

  run_variant :

  1st realization

  source :

  REMO regional model (2022)

  source_id :

  REMO2020

  source_type :

  ARCM

  table_id :

  day

  table_info :

  Creation Date:(05 April 2024) MD5:48d6a0d158eeac713bdad57279c1277d

  title :

  REMO2020 output prepared for CMIP6

  tracking_id :

  hdl:21.14103/551317c5-aa22-4a21-affc-735349393877

  variable_id :

  tas

  version_realization :

  v1

  license :

  https://cordex.org/data-access/cordex-cmip6-data/cordex-cmip6-terms-of-use

  cmor_version :

  3.8.0

ds.tas.plot(col="time")

<xarray.plot.facetgrid.FacetGrid at 0x7f1c9064fc10>

!ncdump -h $f

netcdf tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_day_20000101-20000103 {
dimensions:
	time = UNLIMITED ; // (3 currently)
	rlat = 412 ;
	rlon = 424 ;
	bnds = 2 ;
	vertices = 4 ;
variables:
	double time(time) ;
		time:bounds = "time_bnds" ;
		time:units = "days since 1950-01-01T00:00:00" ;
		time:calendar = "proleptic_gregorian" ;
		time:axis = "T" ;
		time:long_name = "time" ;
		time:standard_name = "time" ;
	double time_bnds(time, bnds) ;
	double rlat(rlat) ;
		rlat:units = "degrees" ;
		rlat:axis = "Y" ;
		rlat:long_name = "latitude in rotated pole grid" ;
		rlat:standard_name = "grid_latitude" ;
	double rlon(rlon) ;
		rlon:units = "degrees" ;
		rlon:axis = "X" ;
		rlon:long_name = "longitude in rotated pole grid" ;
		rlon:standard_name = "grid_longitude" ;
	int rotated_latitude_longitude ;
		rotated_latitude_longitude:grid_mapping_name = "rotated_latitude_longitude" ;
		rotated_latitude_longitude:grid_north_pole_latitude = 39.25 ;
		rotated_latitude_longitude:grid_north_pole_longitude = -162. ;
		rotated_latitude_longitude:north_pole_grid_longitude = 0. ;
	double lat(rlat, rlon) ;
		lat:standard_name = "latitude" ;
		lat:long_name = "latitude" ;
		lat:units = "degrees_north" ;
		lat:missing_value = 1.e+20 ;
		lat:_FillValue = 1.e+20 ;
		lat:bounds = "vertices_lat" ;
	double lon(rlat, rlon) ;
		lon:standard_name = "longitude" ;
		lon:long_name = "longitude" ;
		lon:units = "degrees_east" ;
		lon:missing_value = 1.e+20 ;
		lon:_FillValue = 1.e+20 ;
		lon:bounds = "vertices_lon" ;
	double vertices_lat(rlat, rlon, vertices) ;
		vertices_lat:units = "degrees_north" ;
		vertices_lat:missing_value = 1.e+20 ;
		vertices_lat:_FillValue = 1.e+20 ;
	double vertices_lon(rlat, rlon, vertices) ;
		vertices_lon:units = "degrees_east" ;
		vertices_lon:missing_value = 1.e+20 ;
		vertices_lon:_FillValue = 1.e+20 ;
	double height ;
		height:units = "m" ;
		height:axis = "Z" ;
		height:positive = "up" ;
		height:long_name = "height" ;
		height:standard_name = "height" ;
	float tas(time, rlat, rlon) ;
		tas:standard_name = "air_temperature" ;
		tas:long_name = "Near-Surface Air Temperature" ;
		tas:units = "K" ;
		tas:cell_methods = "area: time: mean" ;
		tas:cell_measures = "area: areacella" ;
		tas:history = "2024-06-20T06:36:44Z altered by CMOR: Treated scalar dimension: \'height\'." ;
		tas:coordinates = "height lat lon" ;
		tas:missing_value = 1.e+20f ;
		tas:_FillValue = 1.e+20f ;
		tas:grid_mapping = "rotated_latitude_longitude" ;

// global attributes:
		:Conventions = "CF-1.11" ;
		:activity_id = "DD" ;
		:contact = "gerics-cordex@hereon.de" ;
		:creation_date = "2024-06-20T06:36:44Z" ;
		:domain = "Europe" ;
		:domain_id = "EUR-12" ;
		:driving_experiment = "reanalysis simulation of the recent past" ;
		:driving_experiment_id = "evaluation" ;
		:driving_institution_id = "ECMWF" ;
		:driving_source_id = "ERA5" ;
		:driving_variant_label = "r1i1p1f1" ;
		:experiment_id = "evaluation" ;
		:external_variables = "areacella" ;
		:frequency = "day" ;
		:grid = "Rotated-pole latitude-longitude with 0.11 degree grid spacing" ;
		:history = "2024-06-20T06:36:44Z ;rewrote data to be consistent with CORDEX for variable tas found in table day." ;
		:institution = "Climate Service Center Germany, Helmholtz Centre hereon GmbH, Hamburg, Germany" ;
		:institution_id = "GERICS" ;
		:label = "REMO2020" ;
		:mip_era = "CMIP6" ;
		:product = "model-output" ;
		:project_id = "CORDEX" ;
		:realm = "REALM" ;
		:references = "https://www.remo-rcm.de" ;
		:run_variant = "1st realization" ;
		:source = "REMO regional model (2022)" ;
		:source_id = "REMO2020" ;
		:source_type = "ARCM" ;
		:table_id = "day" ;
		:table_info = "Creation Date:(05 April 2024) MD5:48d6a0d158eeac713bdad57279c1277d" ;
		:title = "REMO2020 output prepared for CMIP6" ;
		:tracking_id = "hdl:21.14103/551317c5-aa22-4a21-affc-735349393877" ;
		:variable_id = "tas" ;
		:version_realization = "v1" ;
		:license = "https://cordex.org/data-access/cordex-cmip6-data/cordex-cmip6-terms-of-use" ;
		:cmor_version = "3.8.0" ;
}

!cfchecks $f

CHECKING NetCDF FILE: CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/day/tas/v20240620/tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_day_20000101-20000103.nc
=====================

Using CF Checker Version 4.1.0
Checking against CF Version CF-1.8
Using Standard Name Table Version 85 (2024-05-21T15:55:10Z)
Using Area Type Table Version 11 (06 July 2023)
Using Standardized Region Name Table Version 4 (18 December 2018)

ERROR: (2.6.1): This netCDF file does not appear to contain CF Convention data.
WARN: (7.1): Boundary var vertices_lat should not have attribute units
WARN: (7.1): Boundary var vertices_lon should not have attribute units

------------------
Checking variable: time
------------------

------------------
Checking variable: time_bnds
------------------

------------------
Checking variable: rlat
------------------

------------------
Checking variable: rlon
------------------

------------------
Checking variable: rotated_latitude_longitude
------------------

------------------
Checking variable: lat
------------------

------------------
Checking variable: lon
------------------

------------------
Checking variable: vertices_lat
------------------
WARN: (7.1): Boundary Variable vertices_lat should not have _FillValue attribute
WARN: (7.1): Boundary Variable vertices_lat should not have missing_value attribute

------------------
Checking variable: vertices_lon
------------------
WARN: (7.1): Boundary Variable vertices_lon should not have _FillValue attribute
WARN: (7.1): Boundary Variable vertices_lon should not have missing_value attribute

------------------
Checking variable: height
------------------

------------------
Checking variable: tas
------------------
INFO: attribute history is being used in a non-standard way

ERRORS detected: 1
WARNINGS given: 6
INFORMATION messages: 1

!compliance-checker --test=cf:1.7 $f

Running Compliance Checker on the datasets from: ['CORDEX/CORDEX/CMIP6/DD/EUR-12/GERICS/ERA5/evaluation/r1i1p1f1/REMO2020/v1/day/tas/v20240620/tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_day_20000101-20000103.nc']

--------------------------------------------------------------------------------
                         IOOS Compliance Checker Report                         
                                 Version 5.1.1                                  
                     Report generated 2024-06-20T06:36:47Z                      
                                     cf:1.7                                     
http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-conventions.html
--------------------------------------------------------------------------------
                               Corrective Actions                               
tas_EUR-12_ERA5_evaluation_r1i1p1f1_GERICS_REMO2020_v1_day_20000101-20000103.nc has 2 potential issues


                                    Warnings                                    
--------------------------------------------------------------------------------
§2.6 Attributes
* §2.6.1 Conventions global attribute does not contain "CF-1.7"

§7.1 Cell Boundaries
* The Boundary variables 'vertices_lat' should not have the attributes: '['units', 'missing_value', '_FillValue']'
* The Boundary variables 'vertices_lon' should not have the attributes: '['units', 'missing_value', '_FillValue']'