Time‐series‐based ensemble model output statistics for temperature forecasts postprocessing
The uncertainty in numerical weather prediction models is nowadays quantified by the use of ensemble forecasts. Although these forecasts are continuously improved, they still suffer from systematic bias and dispersion errors. Statistical postprocessing methods, such as the ensemble model output stat...
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Veröffentlicht in: | Quarterly journal of the Royal Meteorological Society 2024-10, Vol.150 (765), p.4838-4855 |
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