- pysteps.io.importers.import_knmi_hdf5(filename, qty='ACRR', accutime=5.0, pixelsize=1000.0, **kwargs)#
Import a precipitation or reflectivity field (and optionally the quality field) from a HDF5 file conforming to the KNMI Data Centre specification.
filename (str) – Name of the file to import.
qty – The quantity to read from the file. The currently supported identifiers are: ‘ACRR’=hourly rainfall accumulation (mm) and ‘DBZH’=max-reflectivity (dBZ). The default value is ‘ACRR’.
accutime (float) – The accumulation time of the dataset in minutes. A 5 min accumulation is used as default, but hourly, daily and monthly accumulations are also available.
pixelsize (float) – The pixel size of a raster cell in meters. The default value for the KNMI datasets is a 1000 m grid cell size, but datasets with 2400 m pixel size are also available.
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.
out – A three-element tuple containing precipitation accumulation [mm] / reflectivity [dBZ] of the KNMI product, the associated quality field and metadata. The quality field is currently set to None.
- Return type:
Every KNMI data type has a slightly different naming convention. The standard setup is based on the accumulated rainfall product on 1 km2 spatial and 5 min temporal resolution. See https://data.knmi.nl/datasets?q=radar for a list of all available KNMI radar data.