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One can download the auxiliary data by simplying requesting the data through a CDS API request.

Note that area sub-selection is not currently possible for the auxiliary (or time-invariant) data. Therefore any 'area' included in the CDS API request will be ignored and the data downloaded will cover the full EFAS domain.

Code Block

language	py
title	Retrieving a single auxiliary file
collapse	true

import cdsapi

c = cdsapi.Client()

c.retrieve(
    'efas-forecast',
    {
        'variable': 'upstream_area_v4_0',
        'model_levels': 'surface_level',
        'format': 'netcdf',
        'area': [
            72, -35, 24,
            74,
        ],
    },
    'download.nc')

Code Block

language	py
title	Retrieve multiple auxiliary files
collapse	true

import cdsapi

c = cdsapi.Client()

c.retrieve(
    'efas-forecast',
    {
        'variable': ['soil_depth_v4_0','field_capacity_v4_0','wilting_point_v4_0'],
        'model_levels': 'soil_levels',
        'soil_level': '2',
        'format': 'netcdf',
        'area': [
            72, -35, 24,
            74,
        ],
    },
    'auxiliary.zip')

Note that area sub-selection is not currently possible for the auxiliary (or time-invariant

data. Therefore any 'area' included in the CDS API request will be ignored and the data downloaded will cover the full EFAS domain.

And then unzip the auxiliary.zip

Code Block

language	bash
theme	Emacs
title	unzip

$ unzip auxiliary.zip

Archive:  auxiliary.zip
 extracting: sd_2_4.0.nc
 extracting: thmax_2_4.0.nc
 extracting: thmin_2_4.0.nc

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