Construction of the sea surface wind field of Typhoon Chaba based on wind field model and CMEMS data

Zijing OU; Tianyu ZHANG; Danchen YAN; Yulin WANG; Junping ZHANG; Hao NING; Cheng CHI; Lengjian CHEN

doi:10.1007/s00343-025-4299-6

Your Location：

Home >

Browse articles >

Construction of the sea surface wind field of Typhoon Chaba based on wind field model and CMEMS data

Physics | Updated：2025-12-16

- Construction of the sea surface wind field of Typhoon Chaba based on wind field model and CMEMS data
- Construction of the sea surface wind field of Typhoon Chaba based on wind field model and CMEMS data
- 海洋湖沼学报(英文) 2025年43卷第6期页码：1754-1768
- Affiliations：
  
  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
- Author bio：
  
  zhaangty@sina.com
- Funds：
  
  the National Key Research and Development Program of China(2021YFC3101801;2023YFC3008200);the National Natural Science Foundation of China(42476219;41976200);the National Foreign Experts Program(S20240134);the Innovative Team Plan of the Department of Education of Guangdong Province(2023KCXTD015);the Tropical Ocean Environment in Western Coastal Waters Observation and Research Station of Guangdong Province(2024B1212040008);the Independent Research Project of the Southern Ocean Laboratory(SML2022SP301);the Shandong Innovation and Development Research Institute Think Tank Project, the Guangdong Ocean University Scientific Research Program(060302032106);the Start-up Fund for PhD Researchers(060302032104)
- DOI：10.1007/s00343-025-4299-6
  中图分类号：
- 收稿：2024-11-12，
  
  网络首发：2025-02-17，
  
  纸质出版：2025-11-01
- Accepted：
Scan QR Code
Zijing OU, Tianyu ZHANG, Danchen YAN, 等. Construction of the sea surface wind field of Typhoon Chaba based on wind field model and CMEMS data[J]. 海洋湖沼学报(英文), 2025,43(6):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.
Zijing OU, Tianyu ZHANG, Danchen YAN, 等. Construction of the sea surface wind field of Typhoon Chaba based on wind field model and CMEMS data[J]. 海洋湖沼学报(英文), 2025,43(6):1754-1768. DOI： 10.1007/s00343-025-4299-6.

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.

摘要

Abstract

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.

关键词

Keywords

references

Atkinson G D , Holliday C R . 1977 . Tropical cyclone minimum sea level pressure/maximum sustained wind relationship for the western North Pacific . Monthly Weather Review , 105 ( 4 ): 421 - 427 , https://doi.org/10.1175/1520-0493(1977)105<0421:TCMSLP>2.0.CO;2. https://doi.org/10.1175/1520-0493(1977)105<0421:TCMSLP>2.0.CO;2.

Bjerknes V . 1921 . On the dynamics of the circular vortex: with applications to the atmosphere and atmospheric vortex and wave motions . Kristiana (Oslo), Norway : Grøndahl & Søns Boktrykkeri , 48 : 375 - 376 .

Fujita T . 1952 . Pressure distribution within typhoon . Geophysical Magazine , 23 ( 4 ): 437 - 451 , https://ndlsearch.ndl.go.jp/books/R000000004-I10155248 https://ndlsearch.ndl.go.jp/books/R000000004-I10155248 .

Gao Q Q , Zhu J R , Duan Y H et al . 2012 . Impacts of the symmetrical and unsymmetrical typhoons on the storm surge simulation in the East China and the South China Seas . Journal of East China Normal University (Natural Science) , 23 ( 6 ): 57 - 72 , https://doi.org/10.3969/j.issn.1000-5641.2012.06.007. https://doi.org/10.3969/j.issn.1000-5641.2012.06.007. (in Chinese with English abstract)

Guo Y Y , Zhou G B , Huang Y W et al . 2024 . Track forecast deviation and thinking of Typhoon Chaba ( 2203 ). Journal of Marine Meteorology , 44 ( 1 ): 97 - 107 , https://doi.org/10.19513/j.cnki.hyqxxb.20221105001. https://doi.org/10.19513/j.cnki.hyqxxb.20221105001. (in Chinese with English abstract)

Harper B A , Holland G J . 1999 . An updated parametric model of the tropical cyclone . In: Proceedings of the 23rd Conference on Hurricanes and Tropical Meteorology . AMS, Dallas . p. 10 - 15 .

He Y S , Wang E K , Li J W et al . 2024 . Research on sea surface wind field model of Hurricane IKE (2008) . Coastal Engineering , 43 ( 2 ): 104 - 115 , https://doi.org/10.12362/j.issn.1002-3682.20240308002. https://doi.org/10.12362/j.issn.1002-3682.20240308002. (in Chinese with English abstract)

Holland G J . 1980 . An analytic model of the wind and pressure profiles in hurricanes . Monthly Weather Review , 108 ( 8 ): 1212 - 1218 , https://doi.org/10.1175/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2. https://doi.org/10.1175/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2.

Hsiao S C , Chen H , Chen W B et al . 2019 . Quantifying the contribution of nonlinear interactions to storm tide simulations during a super typhoon event. Ocean Engineering , 194 : 106661 , https://doi.org/10.1016/j.oceaneng.2019.106661 https://doi.org/10.1016/j.oceaneng.2019.106661 .

Hu X N , Fang G S , Ge Y J . 2024 . Simplified models of wind-wave relationships in China's shallow-water coasts based on SWAN+ADCIRC simulations. Ocean Engineering , 305 : 117983 , https://doi.org/10.1016/j.oceaneng.2024.117983 https://doi.org/10.1016/j.oceaneng.2024.117983 .

Jelesnianski C P . 1965 . A numerical calculation of storm tides induced by a tropical storm impinging on a continental shelf . Monthly Weather Review , 93 ( 6 ): 343 - 358 , https://doi.org/10.1175/1520-0493(1993)093<0343:ANCOS>2.3.CO;2. https://doi.org/10.1175/1520-0493(1993)093<0343:ANCOS>2.3.CO;2.

Knaff J A , Zehr R M . 2007 . Reexamination of tropical cyclone wind-pressure relationships . Weather and Forecasting , 22 ( 1 ): 71 - 88 , https://doi.org/10.1175/WAF965.1 https://doi.org/10.1175/WAF965.1 .

Li D L , Staneva J , Bidlot J R et al . 2021 . Improving regional model skills during typhoon events: a case study for super typhoon Lingling over the northwest Pacific Ocean. Frontiers in Marine Science , 8 : 613913 , https://doi.org/10.3389/fmars.2021.613913 https://doi.org/10.3389/fmars.2021.613913 .

Li D L . 2017 . Added value of high-resolution regional climate model: selected cases over the Bohai Sea and the Yellow Sea areas . International Journal of Climatology , 37 ( 1 ): 169 - 179 , https://doi.org/10.1002/joc.4695 https://doi.org/10.1002/joc.4695 .

Li D W . 2016 . Microwave Scatterometer Wind Retrieval under High Sea State and Remote Sensing of Ocean Responses to Tropical Cyclones . Qingdao : Institute of Oceanology, Chinese Academy of Sciences , http://ir.qdio.ac.cn/handle/337002/117014. http://ir.qdio.ac.cn/handle/337002/117014. (in Chinese with English abstract)

Liao L H , Zhou D , Ma J et al . 2014 . Typhoon wind-field research and its simulation . Journal of Shanghai Jiaotong University , 48 ( 11 ): 1541 - 1551 , 1561 . (in Chinese with English abstract)

Lu X Q , Yu H , Ying M et al . 2021 . Western North Pacific tropical cyclone database created by the China Meteorological Administration . Advances in Atmospheric Sciences , 38 ( 4 ): 690 - 699 , https://doi.org/10.1007/s00376-020-0211-7 https://doi.org/10.1007/s00376-020-0211-7 .

Luettich R A , Westerink J J . 2004 . Formulation and numerical implementation of the 2D/3D ADCIRC finite element model Version 44 . XX, Chapel Hill : UNC Institute of Marine Sciences , https://adcirc.org/wp-content/uploads/sites/2255/2018/11/2004_Luettich.pdf https://adcirc.org/wp-content/uploads/sites/2255/2018/11/2004_Luettich.pdf .

Luo Z F , Huang B S , Chen X H et al . 2021 . Effects of wave–current interaction on storm surge in the Pearl River estuary: a case study of super typhoon Mangkhut. Frontiers in Marine Science , 8 : 692359 , https://doi.org/10.3389/fmars.2021.692359 https://doi.org/10.3389/fmars.2021.692359 .

Maritime Safety Administration of the People's Republic of China . 2023 . Investigation Report on the " 7 · 2 " "Fujing 001" Crane Ship Typhoon Accident in Yangjiang , https://www.msa.gov.cn/public/documents/document/mdqx/ndu1/~edisp/20230607041455483.pdf https://www.msa.gov.cn/public/documents/document/mdqx/ndu1/~edisp/20230607041455483.pdf . (in Chinese)

Powell M , Soukup G , Cocke S et al . 2005 . State of Florida hurricane loss projection model: atmospheric science component . Journal of Wind Engineering and Industrial Aerodynamics , 93 ( 8 ): 651 - 674 , https://doi.org/10.1016/j.jweia.2005.05.008 https://doi.org/10.1016/j.jweia.2005.05.008 .

Qiao W L , Song J B , He H L et al . 2019 . Application of different wind field models and wave boundary layer model to typhoon waves numerical simulation in WAVEWATCH Ⅲ model . Tellus A: Dynamic Meteorology and Oceanography , 71 ( 1 ): 1657552 , https://doi.org/10.1080/16000870.2019.1657552 https://doi.org/10.1080/16000870.2019.1657552 .

Shi H , Cai X H , Song Y . 2009 . Simulation of wind fields and mean flow field of the north part of South China Sea . In: Proceedings of the 2009 Cross Strait Young Scientists Academic Activity Month of the China Association for Science and Technology—Seminar on Marine Pollution Prevention and Emergency Technology . China Association for Science and Technology , Beijing . p. 251 - 259 . (in Chinese) . https://do 10.1029/2008JC005014 http://dx.doi.org/10.1029/2008JC005014

Takahashi K . 1939 . Distribution of pressure and wind in a typhoon . Journal of the Meteorological Society of Japan , 17 ( 2 ): 417 - 421 . https://do 10.2151/jmsj1923.17.5_181 http://dx.doi.org/10.2151/jmsj1923.17.5_181

Tian Z S Y , Zhang Y . 2021 . Numerical estimation of the typhoon-induced wind and wave fields in Taiwan Strait. Ocean Engineering , 239 : 109803 , https://doi.org/10.1016/j.oceaneng.2021.109803 https://doi.org/10.1016/j.oceaneng.2021.109803 .

Wang X N , Yin Q J , Zhang B M . 1991 . Research and applications of a forecasting model of typhoon surges in China seas . Advances in Water Science , 2 ( 1 ): 1 - 10 . (in Chinese with English abstract)

Wang X N . 1986 . Treatment of pressure field and wind field in numerical calculation of storm surge . Marine Forecasts , 3 : 56 - 64 .

Wen B , Wang P , Wan L et al . 2008 . Experiments on the simulation of typhoon waves in the inshore area of China sea . Marine Science Bulletin , 27 ( 3 ): 1 - 6 , https://doi.org/10.3969/j.issn.1001-6392.2008.03.001. https://doi.org/10.3969/j.issn.1001-6392.2008.03.001. (in Chinese with English abstract)

Wu G X , Shi F Y , Kirby J T et al . 2018 . Modeling wave effects on storm surge and coastal inundation . Coastal Engineering , 140 : 371 - 382 , https://doi.org/10.1016/j.coastaleng.2018.08.011 https://doi.org/10.1016/j.coastaleng.2018.08.011 .

Xiong J , Yu F J , Fu C F et al . 2022 . Evaluation and improvement of the ERA5 wind field in typhoon storm surge simulations. Applied Ocean Research , 118 : 103000 , https://doi.org/10.1016/j.apor.2021.103000 https://doi.org/10.1016/j.apor.2021.103000 .

Xu Y , He H L , Song J B et al . 2017 . Observations and modeling of typhoon waves in the South China Sea . Journal of Physical Oceanography , 47 ( 6 ): 1307 - 1324 , https://doi.org/10.1175/JPO-D-16-0174.1 https://doi.org/10.1175/JPO-D-16-0174.1 .

Yan D C , Zhang T Y . 2022 . Research progress on tropical cyclone parametric wind field models and their application. Regional Studies in Marine Science , 51 : 102207 , https://doi.org/10.1016/j.rsma.2022.102207 https://doi.org/10.1016/j.rsma.2022.102207 .

Yin K , Xu S D , Zhao Q et al . 2020 . Effects of land cover change on atmospheric and storm surge modeling during typhoon event. Ocean Engineering , 199 : 106971 , https://doi.org/10.1016/j.oceaneng.2020.106971 https://doi.org/10.1016/j.oceaneng.2020.106971 .

Ying M , Zhang W , Yu H et al . 2014 . An overview of the China Meteorological Administration tropical cyclone database . Journal of Atmospheric and Oceanic Technology , 31 ( 2 ): 287 - 301 , https://doi.org/10.1175/JTECH-D-12-00119.1 https://doi.org/10.1175/JTECH-D-12-00119.1 .

Yu H , Hu C M , Jiang L Y . 2006 . Comparison of three tropical cyclone strength datasets . Acta Meteorologica Sinica , 64 ( 3 ): 357 - 363 , https://doi.org/10.3321/j.issn:0577-6619.2006.03.010. https://doi.org/10.3321/j.issn:0577-6619.2006.03.010. (in Chinese with English abstract)

Zhang J L , Fang W L , Xu Q M et al . 1986 . An attempt of constructing typhoon ground isobars as nonsimilar pattern . Donghai Marine Science , 4 ( 4 ): 8 - 18 . (in Chinese with English abstract)

Zhao K , Zhao C F , Chen G . 2021 . Evaluation of Chinese scatterometer ocean surface wind data: preliminary analysis . Earth and Space Science , 8 ( 7 ): e2020 EA 001482 , https://doi.org/10.1029/2020EA001482 https://doi.org/10.1029/2020EA001482 .

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

暂无数据