pysteps.io.importers.import_mch_hdf5#
- pysteps.io.importers.import_mch_hdf5(filename, qty='RATE', **kwargs)#
Import a precipitation field (and optionally the quality field) from a MeteoSwiss HDF5 file conforming to the ODIM specification.
- Parameters:
filename (str) – Name of the file to import.
qty – The quantity to read from the file. The currently supported identitiers are: ‘RATE’=instantaneous rain rate (mm/h), ‘ACRR’=hourly rainfall accumulation (mm) and ‘DBZH’=max-reflectivity (dBZ). The default value is ‘RATE’.
dtype (str) – Data-type to which the array is cast. Valid values: “float32”, “float64”, “single”, and “double”.
fillna (float or np.nan) – Value used to represent the missing data (“No Coverage”). By default, np.nan is used.
- Returns:
out – A three-element tuple containing the OPERA product for the requested quantity and the associated quality field and metadata. The quality field is read from the file if it contains a dataset whose quantity identifier is ‘QIND’.
- Return type:
tuple