Multivariate post‐processing of probabilistic sub‐seasonal weather regime forecasts

Reliable forecasts of quasi‐stationary, recurrent, and persistent large‐scale atmospheric circulation patterns—so‐called weather regimes—are crucial for various socio‐economic sectors, including energy, health, and agriculture. Despite steady progress, probabilistic weather regime predictions still...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Quarterly journal of the Royal Meteorological Society 2024-10, Vol.150 (765), p.4771-4787
Hauptverfasser:	Mockert, Fabian, Grams, Christian M., Lerch, Sebastian, Osman, Marisol, Quinting, Julian
Format:	Artikel
Sprache:	eng
Schlagworte:	Atmospheric circulation Atmospheric circulation patterns Dynamic height Economic sectors ensemble copula coupling ensemble model output statistics forecasting Forecasting skill Geopotential height Height anomalies post‐processing Predictions Weather Weather forecasting weather regimes
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!