Articles | Volume 22, issue 6
https://doi.org/10.5194/hess-22-3391-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-3391-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of the ability of the Weather Research and Forecasting model to reproduce a sub-daily extreme rainfall event in Beijing, China using different domain configurations and spin-up times
Qi Chu
College of Water Sciences, Beijing Normal University, Beijing, 100875, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City, Beijing, 100875, China
Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK
Zongxue Xu
CORRESPONDING AUTHOR
College of Water Sciences, Beijing Normal University, Beijing, 100875, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City, Beijing, 100875, China
Yiheng Chen
Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK
Dawei Han
Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK
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- Assessing the numerical weather prediction (NWP) model in estimating extreme rainfall events: A case study for severe floods in the southwest Mediterranean region, Turkey A. Ozkaya 10.1007/s12040-023-02137-7
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Latest update: 10 Dec 2024
Short summary
The effects of WRF domain configurations and spin-up time on rainfall were evaluated at high temporal and spatial scales for simulating an extreme sub-daily heavy rainfall (SDHR) event. Both objective verification metrics and subjective verification were used to identify the likely best set of the configurations. Results show that re-evaluation of these WRF settings is of great importance in improving the accuracy and reliability of the rainfall simulations in the regional SDHR applications.
The effects of WRF domain configurations and spin-up time on rainfall were evaluated at high...