Calibrated ensemble forecasts of the height of new snow using quantile regression forests and ensemble model output statistics

Height of new snow (HN) forecasts help to prevent critical failures of infrastructures in mountain areas, e.g. transport networks and ski resorts. The French national meteorological service, Météo-France, operates a probabilistic forecasting system based on ensemble meteorological forecasts and a de...

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Veröffentlicht in:	Nonlinear processes in geophysics 2021-09, Vol.28 (3), p.467-480
Hauptverfasser:	Evin, Guillaume, Lafaysse, Matthieu, Taillardat, Maxime, Zamo, MichaÃ«l
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Applications Artificial Intelligence Atmospheric and Oceanic Physics Chaotic Dynamics Computer Science Continental interfaces, environment Decision trees Earth Sciences Elevation Ensemble forecasting Forests Forests and forestry Height Hydrology Machine Learning Mathematics Meteorological services Meteorology Methods Mountain regions Mountains Nonlinear Sciences Ocean, Atmosphere Parameter estimation Physics Post-production processing Precipitation Precipitation (Meteorology) Probability Probability distribution functions Rain Rain-snow transition Rainfall forecasting Regression models Sciences of the Universe Ski resorts Snow Snowpack Specific humidity Statistical analysis Statistical methods Statistics Weather Weather forecasting
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