Data for the manuscript "DEUCE v1.0: A neural network for probabilistic precipitation nowcasting with aleatoric and epistemic uncertainties" by Harnist et al. (2023)
Beskrivning
# 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.
Visa merPubliceringsår
2023
Typ av data
Upphovspersoner
Meteorologiska Institutet - Utgivare
Harnist, Bent - Upphovsperson
Mäkinen, Terhi - Upphovsperson
Pulkkinen, Seppo - Upphovsperson
Projekt
Övriga uppgifter
Vetenskapsområden
Geovetenskaper
Språk
engelska
Öppen tillgång
Öppet