paper
2021
Post-processing & calibration
New model or method
6 h–3 days Journal
2021-01-14
008
Jan 2021
Naveen Goutham, Bastien Alonzo, Aurore Dupré et al.
Boundary-Layer Meteorology
Applies machine learning to correct surface wind speed forecasts from a numerical weather prediction model using observations.
Using Machine-Learning Methods to Improve Surface Wind Speed from the Outputs of a Numerical Weather Prediction Model
In one sentence. Applies machine learning to correct surface wind speed forecasts from a numerical weather prediction model using observations.
Labels
- Topic
- Post-processing & calibration
- Type
- New model or method
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1007/s10546-020-00586-x OpenAlex:W3118842719
- Added
- 2026-10-22
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