ML4WX

Post-processing & calibration

Using Machine-Learning Methods to Improve Surface Wind Speed from the Outputs of a Numerical Weather Prediction Model

Naveen Goutham, Bastien Alonzo, Aurore Dupré, Riwal Plougonven, Rebeca Doctors, Lishan Liao, Mathilde Mougeot, Aurélie Fischer, Philippe J Drobinski

Boundary-Layer Meteorology ·

Paper

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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