Published May 22, 2023
| Version
v1
Dataset
Open
Data for the manuscript "DEUCE v1.0: A neural network for probabilistic precipitation nowcasting with aleatoric and epistemic uncertainties" by Harnist et al. (2023)
Description
# 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.
Files
deuce_inputs.zip
Files
(7.5 GB)
| Name | Size | Download all |
|---|---|---|
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Checksum: md5:3a09d08f1c3b0e2dc53e93dffc778e8e
PID: http://hdl.handle.net/11304/1a133f85-75d1-4393-9cb8-79b0e3b3662b |
3.7 kB | Download |
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Checksum: md5:c0e7921fe1a75d394834bea73a213690
PID: http://hdl.handle.net/11304/d0c5c743-6c3d-4ef3-9ab0-016121ff7621 |
3.3 GB | Preview Download |
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Checksum: md5:1620ee2b9f88cd5736c3c80f94247a45
PID: http://hdl.handle.net/11304/415b944c-de34-4ae2-98b4-2ab672d66c38 |
2.7 GB | Preview Download |
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Checksum: md5:bfa2f33ce838f341673a2f284afafd4a
PID: http://hdl.handle.net/11304/f0466b68-2133-4a10-8593-d4a6bf97396d |
4.4 MB | Preview Download |
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Checksum: md5:8ca45e350fe78f3545505c1014e0d5dc
PID: http://hdl.handle.net/11304/51eee3a2-27db-4733-8f2d-3368c49d74f3 |
41.5 MB | Preview Download |
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Checksum: md5:90231d298330c1ec9b9fee1c12a367cf
PID: http://hdl.handle.net/11304/e3488d2e-e7f8-4213-8996-06001e4e8bbb |
1.5 GB | Preview Download |
Additional details
Identifiers
- URL
- https://etsin.fairdata.fi/dataset/6b62077d-f0f4-4c24-a859-137c32c4df40
- b2rec
- 3efcfc9080fe4871bd756c45373e7c11
FMI metadata
- Process step
- Arrays of deuce_inputs.zip HDF5 files are derived from the original composites using create_hdf5_dataset.py. All other files are produced using the source code accompanying the work.
- Source data
- 11 polarimetric C-band radars in the FMI radar network
- Lineage
- The radar composites of verif_inputs.zip and verif_case_inputs.zip are original versions produced by FMI and no further quality control has been performed. Other work is derived from such composites.
- Parameter
-
- Parameter name: Radar reflectivity
- Parameter unit: dBZ
- Parameter description: Radar reflectivity compressed with offset=-32 and scale=0.5 for PGM archives, float32 values for DEUCE input HDF5 files.
- Data levels (meter, hectoPascal, degree, sigma pressure levels, other) in vertical direction(+/-) for example 1500 m or 850 hPa
-
- Level: 500 m
- Resolution
- 1000
- Topic category
- climatologyMeteorologyAtmosphere
Temporal Coverage
Ranges:
Start date: 2019-04-30
End date: 2019-09-30
End date: 2019-09-30
Start date: 2020-04-30
End date: 2020-09-30
End date: 2020-09-30
Start date: 2021-04-30
End date: 2021-09-30
End date: 2021-09-30
Start date: 2022-04-30
End date: 2022-09-30
End date: 2022-09-30