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hurricane
Hugging Face dataset ibm-nasa-geospatial/hurricane
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What's in it
- Data offered docs-verified
- MERRA-2 surface and pressure-level variables (160 variables used in training) · Pressure-level wind components (U, V), vertical wind, air temperature, specific humidity, geopotential height, cloud fraction, cloud ice and liquid mass fraction · Single-level near-surface wind, 2 m temperature, skin temperature, surface pressure, sea level pressure, column-total ice/liquid/vapour, surface and top-of-atmosphere radiation · Static fields: surface geopotential height, land/ocean/ice fractions · Time-averaged diagnostics: root zone soil wetness, leaf area index, surface fluxes · Hurricane Ida (2021) 72-hour forecast initial conditions (2021-08-27 00:00 UTC)
- Coverage docs-verified
- Atlantic Ocean (hurricane initial conditions) · 2017-2023 (hurricane initial conditions)
- Resolution docs-verified
- Temporal: 3-hourly for pressure-level variables, 1-hourly for single-level variables; spatial resolution not stated
- Formats docs-verified
- imagefolder (Hugging Face) · Parquet (auto-converted by HF viewer)
- Access docs-verified
- Free and open download from Hugging Face; no auth listed; licence MIT
Useful for
- Use cases llm-inferred
- Benchmarking an AI weather model's track and intensity skill on an Atlantic hurricane case (Ida 2021) as a methods reference for storm-wind context · Sourcing MERRA-2 surface and pressure-level wind, pressure and humidity fields to prototype wind-loading or storm-event context analyses · Demo or teaching dataset for ML-based weather-forecast workflows before applying them to UK catchment or drainage work
- Audience llm-inferred
- meteorological and climate modellers · data scientists working on weather ML · GIS analysts · environmental researchers
Limitations
- Constraints llm-inferred
- Atlantic hurricanes only, 2017-2023 initial conditions; not UK-specific · Small evaluation set (2 rows in the viewer, 1.52 GB total) · Full evaluation needs MERRA-2 surface and pressure data for the 160 training variables · Time-averaged diagnostics are derived from hourly values, and NaNs in GWETROOT and LAI are filled with 1 and 0 over ocean · Not a real-time or operational feed; no update frequency stated · Research-oriented dataset from IBM and NASA; not an operational data product for consultancy use
- Licence
- mit
- Authentication
- Unknown — review source docs
- GitHub stars
- Unknown
- Last commit
- Unknown
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- Not recorded
- Verification
- Not independently verified
Provenance & evidence
Verified 2026-10-15 via HF API: exists; 390 downloads/30d, 2 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)