Articles | Volume 22, issue 1
https://doi.org/10.5194/nhess-22-23-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-23-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jan 2022
Research article |
| 05 Jan 2022
| 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
Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan
Pi-Yu Chuang
CORRESPONDING AUTHOR
Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan
Chih-Sheng Chang
Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan
Kazuhisa Tsuboki
Institute for Space–Earth Environmental Research, Nagoya University, Nagoya, Japan
Shin-Yi Huang
Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan
Guo-Chen Leu
Central Weather Bureau, Taipei, Taiwan
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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.
This study indicated that the Cloud-Resolving Storm Simulator (CReSS) model significantly...
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