sanxing/ai4sci-probabilistic-global-weather

81 downloads in 30 days0 likesLast modified 19 Sep 2026View on Hugging Face

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: other, from the tagEvidence: README.md at aa7d93c
Licence name on the card: weather-source-licenses, link: https://huggingface.co/datasets/sanxing/ai4sci-probabilistic-global-weather/blob/main/LICENSES.mdEvidence: README.md at aa7d93c
Licence files: LICENSES.md, detected as cc-by-4.0Evidence: LICENSES.md at aa7d93c
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

See [LICENSES.md](LICENSES.md) and `licenses/` for source-specific terms.
The task code's Apache-2.0 license does not relicense these data.

- ERA5: Copernicus Climate Change Service / ECMWF, distributed through
  [WeatherBench 2](https://weatherbench2.readthedocs.io/en/latest/data-guide.html)
  and [ARCO ERA5](https://github.com/google-research/arco-era5).
  Contains modified Copernicus Climate Change Service information (2026).
  Neither the European Commission nor ECMWF is responsible for any use that
  may be made of the Copernicus information or data it contains.
- HRES-fc0: Copyright © 2026 European Centre for Medium-Range Weather Forecasts
  (ECMWF), source https://www.ecmwf.int. Published under
  [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Subsets and derived
  resources have been modified as described above. ECMWF does not accept any
  liability whatsoever for any error or omission in the data, their availability,
  or for any loss or damage arising from their use.
- NOAA NCEI [IBTrACS v04r01](https://www.ncei.noaa.gov/products/international-best-track-archive),
  including contributing tropical cyclone agencies. Cite the dataset
  [DOI: 10.25921/82ty-9e16](https://doi.org/10.25921/82ty-9e16), indicate access
  on 2026-09-06, and retain its use constraints and attribution.
  Also cite Knapp et al. (2010), *Unifying tropical cyclone best track data*,
  [DOI: 10.1175/2009BAMS2755.1](https://doi.org/10.1175/2009BAMS2755.1).
- ARCO ERA5: Carver and Merose

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dataset_licence({ "id": "sanxing/ai4sci-probabilistic-global-weather" })
signal: "unclear"
stated_licence: "other"
sources: 0