Stepwise correction of ECMWF ensemble forecasts of severe rainfall in China based on segmented hierarchical clustering

Stepwise correction of ECMWF ensemble forecasts of severe rainfall in China based on segmented hierarchical clustering

Ensemble forecast plays a vital role in numerical weather prediction. Hence, effectively extracting useful information from ensemble members to improve precipitation forecasting skills has always been an important issue. Using the ensemble forecast data on precipitation from the ECMWF-GEPS (Global E...

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Bibliographic Details
Main Authors: Li Gao, Zuosen Zhao, Jun Qin, Quanliang Chen, Hongke Cai
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Earth Science
Subjects:
ensemble forecast
severe rainfall
machine learning
stepwise correction
segmented hierarchical clustering
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2022.1079225/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2022.1079225/full

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