The Modified Method of Reanalysis Wind Data in Estuarine Areas

Zhengjin Tao; Yongping Chen; Ao Chu; Shunqi Pan; Min Gan; Yuhang Chen; Zhumei Che; Ye Zhu

doi:10.3390/w14111826

Water (Jun 2022)

The Modified Method of Reanalysis Wind Data in Estuarine Areas

Zhengjin Tao,
Yongping Chen,
Ao Chu,
Shunqi Pan,
Min Gan,
Yuhang Chen,
Zhumei Che,
Ye Zhu

Affiliations

Zhengjin Tao: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
Yongping Chen: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
Ao Chu: Institute of Water Science and Technology, Hohai University, Nanjing 210098, China
Shunqi Pan: Hydro-Environmental Research Centre, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
Min Gan: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
Yuhang Chen: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
Zhumei Che: Zhejiang Marine Monitoring and Forecasting Center, Hangzhou 310007, China
Ye Zhu: Zhejiang Marine Monitoring and Forecasting Center, Hangzhou 310007, China

DOI: https://doi.org/10.3390/w14111826
Journal volume & issue: Vol. 14, no. 11
p. 1826

Abstract

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High-quality wind field data are key to improving the accuracy of storm surge simulations in coastal and estuarine water. These data are also of great significance in studying the dynamic processes in coastal areas and safeguarding human engineering structures. A directional correction method for ECMWF reanalysis wind data was proposed in this paper based on the correlation with the measured wind speed and direction. The results show that the accuracies of wind speed and direction were improved after being modified by the correction method proposed in this paper. The modified wind data were applied to drive the storm surge model of the Yangtze Estuary for typhoon events, which resulted in a significant improvement to the accuracy of hindcasted water levels. The error of the hindcasted highest water levels was reduced by 16–19 cm.

Published in Water

ISSN: 2073-4441 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Hydraulic engineering; Technology: Environmental technology. Sanitary engineering: Water supply for domestic and industrial purposes
Website: http://www.mdpi.com/journal/water/

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