paper
2021
Post-processing & calibration
Application study
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2021-10-08
012
Oct 2021
Sinclair Chinyoka, Gert‐Jan Steeneveld, Thierry Hedde
Weather and Forecasting
An ANN post-processing of 3-km WRF forecasts raises 10 m wind direction accuracy in a small southeast French valley from 56% to 79%.
Using an Artificial Neural Network to improve operational wind prediction in a small unresolved valley
In one sentence. An ANN post-processing of 3-km WRF forecasts raises 10 m wind direction accuracy in a small southeast French valley from 56% to 79%.
Labels
- Topic
- Post-processing & calibration
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1175/waf-d-21-0054.1 OpenAlex:W3201899184
- Added
- 2026-10-22
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