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import xarray as xr
# Reading the high resolution forecast data (fc)
efas_fc = xr.open_dataset("Efas_forecast.grib", engine='cfgrib', backend_kwargs={'filter_by_keys': {'dataType': 'fc'}, 'indexpath':''})
# Reading the Control reforecast (cf) data
glofas_cf = xr.open_dataset("Glofas_reforecast.grib", engine='cfgrib', backend_kwargs={'filter_by_keys': {'dataType': 'cf'}, 'indexpath':''})
# Reading the Ensemble perturbed reforecasts (pf) data
glofas_pf = xr.open_dataset("Glofas_reforecast.grib ", engine='cfgrib', backend_kwargs={'filter_by_keys': {'dataType': 'pf'}, 'indexpath':''})
# Reading the Historical Consolidated (0001) data
consololidated = xr.open_dataset('glofas.grib', engine='cfgrib', backend_kwargs={'read_keys': {'experimentVersionNumber':'0001'}})
# Reading the Historical Intermediate (0005) data
intermediate = xr.open_dataset('glofas.grib', engine='cfgrib', backend_kwargs={'read_keys': {'experimentVersionNumber':'0005'}})
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