Datasets:

meteofrance
/

titan

License:

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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