Articles | Volume 22, issue 1
Research article
05 Jan 2022
Research article |  | 05 Jan 2022

Evaluation of Mei-yu heavy-rainfall quantitative precipitation forecasts in Taiwan by a cloud-resolving model for three seasons of 2012–2014

Chung-Chieh Wang, Pi-Yu Chuang, Chih-Sheng Chang, Kazuhisa Tsuboki, Shin-Yi Huang, and Guo-Chen Leu

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Cited articles

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Short summary
This study indicated that the Cloud-Resolving Storm Simulator (CReSS) model significantly improved heavy-rainfall quantitative precipitation forecasts in the Taiwan Mei-yu season. At high resolution, the model has higher threat scores and is more skillful in predicting larger rainfall events compared to smaller ones. And the strength of the model mainly lies in the topographic rainfall rather than less predictable and migratory events due to nonlinearity.
Final-revised paper