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Code Block
languagepy
titleNetCDF
import cdsapi

c = cdsapi.Client()

c.retrieve(
    'cams-global-atmospheric-composition-forecasts-test',
    {
        'date':          '2023-04-01/2023-04-10',
        'type':          'forecast',
        'format':        'netcdf_zip',
        'model_level':   '137',                    # GetLowest lowest model level only
        'variable':    [ 'biogenic_secondary_organic_aerosol_mass_mixing_ratio',
                         'anthropogenic_secondary_organic_aerosol_mass_mixing_ratio',
                         'glyoxal' ],      # See other variables at:
        'time':          '00:00',          # https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-atmospheric-composition-forecasts?tab=form
        'leadtime_hour': [h for h in range(0,25,3)],
        'area':          [70, -35, 35, 60] # [N,E,S,W] Europe area boundaries
    },
    '/tmp/cams_test_20230401_10_ml.nc.zip')

c.retrieve(
    'cams-global-atmospheric-composition-forecasts-test'secondary_organic_aerosol_optical_depth_550nm',
    {
        'date':          '2023-04-01/2023-04-10',
        'type':          'forecast',
        'format':        'netcdf_zip','total_column_glyoxal' ], # See other variables at:
        'variabletime':    [ 'secondary_organic_aerosol_optical_depth_550nm', # These variables only exist at surface
                         'total_column_glyoxal' ]'00:00',  
        'time':        #  '00:00',https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-atmospheric-composition-forecasts?tab=form
        'leadtime_hour': [h for h in range(0,25,3)],
        'area':          [70, -35, 35, 60]         # [N,W,S,E] Europe area boundaries
    },
    '/tmp/cams_test_20230401_10_sfc.nc.zip')

FTP dissemination

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You can use your normal FTP account to access the data. Details about filenames convention or list of available parameters can be found at Copernicus CAMS Knowledge Base.

If everything else fails ...

... you can always contact us on ECMWF Support Portal creating a ticket "Request for CAMS global test dataset" as a subject and specify:

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