paper
2023
Post-processing & calibration
Evaluation or intercomparison of existing models
Other6 h–3 daysDeutscher Wetterdienst (DWD) Journal
2023-02-03
047
Feb 2023
Adrian Rojas-Campos, Martin Wittenbrink, Pascal Nieters et al.
Weather and Forecasting
Deutscher Wetterdienst (DWD)
Probabilistic neural networks post-process ensemble precipitation at four stations, outperforming logistic regression and GLM for hourly precipitation and rain probability.
Postprocessing of NWP Precipitation Forecasts Using Deep Learning
In one sentence. Probabilistic neural networks post-process ensemble precipitation at four stations, outperforming logistic regression and GLM for hourly precipitation and rain probability.
Labels
- Topic
- Post-processing & calibration
- Type
- Evaluation or intercomparison of existing models
- Method
- Other
- 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-21-0207.1 OpenAlex:W4319079426
- Added
- 2026-10-22
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