Hierarchical multimodel ensemble probabilistic forecasts for precipitation over East Asia

Abstract Bayesian model averaging (BMA) and ensemble model output statistics (EMOS), as two state‐of‐the‐art approaches, were applied to improve the prediction skills of 24‐h accumulated precipitation over East Asia with lead days of 1–7 days. The multimodel ensemble precipitation probabilistic fore...

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Bibliografski detalji

Glavni autori:	Luying Ji, Xiefei Zhi, Qixiang Luo, Yan Ji
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2025-03-01
Serija:	Meteorological Applications
Teme:	Bayesian model averaging ensemble model output statistics hierarchical multimodel ensemble forecasts probabilistic forecasts short‐to‐medium‐range precipitation forecasts
Online pristup:	https://doi.org/10.1002/met.70035
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