

FOLLOWUS
1.College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
2.Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
3.Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
4.Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China
5.Tropical Ocean Environment in Western Coastal Waters Observation and Research Station of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
6.National Marine Environmental Forecasting Center, Beijing 100081, China
zhaangty@sina.com
Received:12 November 2024,
Online First:17 February 2025,
Published:01 November 2025
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OU Zijing,ZHANG Tianyu,YAN Danchen,et al.Construction of the sea surface wind field of Typhoon Chaba based on wind field model and CMEMS data[J].Journal of Oceanology and Limnology,2025,43(06):1754-1768.
OU Zijing,ZHANG Tianyu,YAN Danchen,et al.Construction of the sea surface wind field of Typhoon Chaba based on wind field model and CMEMS data[J].Journal of Oceanology and Limnology,2025,43(06):1754-1768. DOI: 10.1007/s00343-025-4299-6.
Typhoon Chaba was the most intense typhoon to strike western Guangdong since Typhoon Mujigae in 2015. According to the National Disaster Reduction Center of China
in the morning of July 7
2022
over 1.5 million people in Guangdong
Guangxi
and Hainan were affected by Typhoon Chaba. The typhoon also caused the “
Fukui
001
” ship to be in distress in the waters near Yangjiang
Guangdong
on July 2
resulting in big casualties. Studies have indicated that wind field forecast for Typhoon Chaba was not accurate. To better simulate typhoon events and assess their impacts
we proposed the use of a model wind field (Fujita-Takahashi) integrated with the Copernicus Marine and Environmental Monitoring Service (CMEMS) data to reconstruct effectively the overall wind field of Typhoon Chaba. The simulation result aligns well with the observations
particularly at the Dashu Island Station
showing consistent trends in wind speed changes. However
certain limitations were noted. The model shows that the attenuation of wind speed is slower when typhoon neared land than that obser
ved
indicating that the model has a high simulation accuracy for the ocean wind field
but may have deviations near coastal areas. The result is accurate for open sea but deviated for near land due to the land friction effect. Therefore
we recommend to adjust the model to improve the accuracy for near coasts.
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