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Code Block |
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language | bash |
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title | Set up the python local environment and install required packages |
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collapse | trueinstall python packages |
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# create a local virtual environment, you can call it as you wish, here 'myenv' is used.
conda create -n myenv python=3.8
# add repository channel
conda config --add channels conda-forge
# activate the local environment.
conda activate myenv
# install the required packages
conda install -c conda-forge/label/main xarray cfgrib eccodes
# make sure you have installed eccodes version >= 2.23.0
python -c "import eccodes; print(eccodes.__version__)" |
Start a python console (it is important that you have activated the local environment) and type:
Code Block |
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language | py |
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title | Open a GRIB file |
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collapse | true |
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# assumed you have download from the Climate Data Store a GloFAS GRIB file named 'download.grib'
In [1]: import xarray as xr
# reading GloFAS GRIB file
In [2]: ds = xr.open_dataset('download.grib',engine='cfgrib')
In [3]: ds
Out[4]:
<xarray.Dataset>
Dimensions: (latitude: 1500, longitude: 3600, step: 3, time: 3)
Coordinates:
number int64 ...
* time (time) datetime64[ns] 2019-12-01 2019-12-02 2019-12-03
* step (step) timedelta64[ns] 1 days 2 days 3 days
surface int64 ...
* latitude (latitude) float64 89.95 89.85 89.75 ... -59.75 -59.85 -59.95
* longitude (longitude) float64 -179.9 -179.8 -179.8 ... 179.7 179.8 179.9
valid_time (time, step) datetime64[ns] ...
Data variables:
dis24 (time, step, latitude, longitude) float32 ...
Attributes:
GRIB_edition: 2
GRIB_centre: ecmf
GRIB_centreDescription: European Centre for Medium-Range Weather Forecasts
GRIB_subCentre: 0
Conventions: CF-1.7
institution: European Centre for Medium-Range Weather Forecasts
history: 2021-02-11T11:00:21 GRIB to CDM+CF via cfgrib-0.... |
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