Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError Message: The split names could not be parsed from the dataset config. Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 159, in compute compute_split_names_from_info_response( File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 131, in compute_split_names_from_info_response config_info_response = get_previous_step_or_raise(kind="config-info", dataset=dataset, config=config) File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 567, in get_previous_step_or_raise raise CachedArtifactError( libcommon.simple_cache.CachedArtifactError: The previous step failed. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 499, in get_dataset_config_info for split_generator in builder._split_generators( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 88, in _split_generators raise ValueError( ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 75, in compute_split_names_from_streaming_response for split in get_dataset_split_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 572, in get_dataset_split_names info = get_dataset_config_info( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 504, in get_dataset_config_info raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.
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TITAN : Training Inputs & Targets from Arome for Neural networks
Titan is a dataset made to train an AI NWP emulator on France.
Data
- 3 data sources: Analyses from AROME, ANTILOPE (rain data calibrated with rain gauges) and analyses and forecasts from ARPEGE (coupling model)
- 1 hour timestep
- Depth: 2 years
- Format GRIB2
Available parameters
GRIB2 files are grouped in folders per hour. Each folder contains 14 grib files. Each grib file contains several parameters, grouped per model, grid, leadtime (0h ou 1h for flux) and level.
The parameters in each grib file are described here:
File name | Model | Grid | Level(s) | Parameters |
---|---|---|---|---|
ANTJP7CLIM_1S100_60_SOL | ANTILOPE | FRANXL1S100 (0.01°) | Ground | Cumulated Rainfall on next 1h |
PA_01D_10M | ARPEGE | EURAT01 (0.1°) | 10m | U, V |
PA_01D_2M | ARPEGE | EURAT01 (0.1°) | 2m | T, HU |
PA_01D_ISOBARE | ARPEGE | EURAT01 (0.1°) | 24 Isobaric levels | Z, T, U, V, HU |
PA_01D_MER | ARPEGE | EURAT01 (0.1°) | Sea | P |
PAAROME_1S100_ECH0_10M | AROME | EURW1S100 (1.3 km) | 10m | U, V |
PAAROME_1S100_ECH0_2M | AROME | EURW1S100 (1.3 km) | 2m | T, HU |
PAAROME_1S100_ECH0_SOL | AROME | EURW1S100 (1.3 km) | Ground | RESR_SNOW |
PAAROME_1S100_ECH1_10M | AROME | EURW1S100 (1.3 km) | 10m | U_RAF, V_RAF |
PAAROME_1S100_ECH1_SOL | AROME | EURW1S100 (1.3 km) | Ground | PRECIP, WATER, SNOW |
PAAROME_1S40_ECH0_ISOBARE | AROME | EURW1S40 (2.5 km) | 24 Isobaric levels | Z, T, U, V, VV2, HU, CIWC, CLD_WATER, CLD_RAIN, CLD_SNOW, CLD_GRAUPL |
PAAROME_1S40_ECH0_MER | AROME | EURW1S40 (2.5 km) | Sea | P |
PAAROME_1S40_ECH0_SOL | AROME | EURW1S40 (2.5 km) | Ground | COLUMN_VAPO |
PAAROME_1S40_ECH1_SOL | AROME | EURW1S40 (2.5 km) | Ground | FLTHERM, FLSOLAR |
Storage
Size of GRIB2 files for 1 hour : ~ 480 Mo
Size of compressed file for one day : ~ 6 Go
Size of compressed dataset for 1 year : ~ 2.2 To
Notes
- ANTILOPE data are commercial, so they are not included in the public samples of the dataset.
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