Data for the manuscript "DEUCE v1.0: A neural network for probabilistic precipitation nowcasting with aleatoric and epistemic uncertainties" by Harnist et al. (2023)

DOI

File descriptions:

verif_inputs.zip and verif_case_inputs.zip

Contain folders of raw PGM composites, containing needed input data for verification experiments, that is for the creation of baseline nowcast as well as observation HDF5 files.

deuce_inputs.zip

Contains HDF5 archives of the composite crops used for the training of DEUCE, derived from raw PGM composites using the create_hdf5_dataset.py script given.

deuce_model_checkpoints.py

Contains the two intermediate pytorch lightning checkpoints of DEUCE, as the final model checkpoint used for making predictions.

metrics.zip

Contains the netcdf files of verification metric values computed from DEUCE and baseline model predictions compared to observations.

Identifier
DOI https://doi.org/10.23728/fmi-b2share.3efcfc9080fe4871bd756c45373e7c11
Source https://fmi.b2share.csc.fi/records/3efcfc9080fe4871bd756c45373e7c11
Metadata Access https://fmi.b2share.csc.fi/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:fmi.b2share.csc.fi:b2rec/3efcfc9080fe4871bd756c45373e7c11
Provenance
Creator Harnist, Bent; Pulkkinen, Seppo; Mäkinen, Terhi
Publisher Finnish Meteorological Institute
Publication Year 2023
Rights CC-BY; info:eu-repo/semantics/openAccess
OpenAccess true
Contact bent.harnist(at)fmi.fi
Representation
Language English
Resource Type Dataset
Format py; zip
Size 7.5 GB; 6 files
Discipline Environmental science
Spatial Coverage (20.550W, 59.010S, 30.270E, 63.620N); Southern Finland
Temporal Coverage 2019-04-30T21:00:00.000Z 2019-09-30T20:55:00.000Z