IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v120y2024i14d10.1007_s11069-024-06717-8.html
   My bibliography  Save this article

Storm surge induced by Tropical Storm Pabuk (2019) and its impact by track variation scenarios on the Thailand coast

Author

Listed:
  • Yu-Lin Tsai

    (Kyoto University
    National Central University)

  • Tso-Ren Wu

    (National Central University)

  • Eric Yen

    (Academia Sinica)

  • Veerachai Tanpipat

    (Ministry of Higher Education, Science, Research, and Innovation)

  • Chuao-Yao Lin

    (Academia Sinica)

Abstract

Tropical Storm Pabuk in 2019, the most severe storm event in the past two decades, provided a unique opportunity to assess storm surge impact in the Gulf of Thailand. Employing the COMCOT-SURGE model with a two-layer nested-grid configuration, this study examined storm surges from offshore to nearshore driven by the ERA5 reanalysis winds and the 1980 Holland wind model. The spatial and temporal variations of storm surges generated by Tropical Storm Pabuk were both investigated. The ERA5-driven case indicated severe storm surges in the coastal regions of Thailand and matched well with the tide-gauge observations in the timing and amplitude of peak surges. However, the Holland wind model case showed the maximum storm surges shifted southward and poorly agreed with the measured surges. This discrepancy was attributed to the absence of environmental winds in the parametric wind model. Moreover, the effect of the radius of maximum winds on storm surges was tested. To further explore potential storm surges in the Gulf of Thailand, this study focused on the variations in storm tracks along the latitudinal axis and associated storm surges. Among the proposed storm track scenarios, the one landing more northward in Thailand than Pabuk represented the most severe case to the Thailand coast, followed by Pabuk’s track. In the proposed scenarios, cities such as Chumphon, Surat Thani, and Nakhon Si Thammarat were found to face higher storm surge risks than other regions.

Suggested Citation

  • Yu-Lin Tsai & Tso-Ren Wu & Eric Yen & Veerachai Tanpipat & Chuao-Yao Lin, 2024. "Storm surge induced by Tropical Storm Pabuk (2019) and its impact by track variation scenarios on the Thailand coast," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(14), pages 13009-13039, November.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:14:d:10.1007_s11069-024-06717-8
    DOI: 10.1007/s11069-024-06717-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-024-06717-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-024-06717-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. I-I Lin & Johnny C.L. Chan, 2015. "Recent decrease in typhoon destructive potential and global warming implications," Nature Communications, Nature, vol. 6(1), pages 1-8, November.
    2. Mark D. Powell & Peter J. Vickery & Timothy A. Reinhold, 2003. "Reduced drag coefficient for high wind speeds in tropical cyclones," Nature, Nature, vol. 422(6929), pages 279-283, March.
    3. Pavel Tkalich & P. Vethamony & M. Babu & Paola Malanotte-Rizzoli, 2013. "Storm surges in the Singapore Strait due to winds in the South China Sea," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(3), pages 1345-1362, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Iam-Fei Pun & Johnny C. L. Chan & I.-I. Lin & Kelvin T. F. Chan & James F. Price & Dong Shan Ko & Chun-Chi Lien & Yu-Lun Wu & Hsiao-Ching Huang, 2019. "Rapid Intensification of Typhoon Hato (2017) over Shallow Water," Sustainability, MDPI, vol. 11(13), pages 1-20, July.
    2. Amirinia, Gholamreza & Mafi, Somayeh & Mazaheri, Said, 2017. "Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS," Renewable Energy, Elsevier, vol. 113(C), pages 915-929.
    3. Marc P. Buckley & Jochen Horstmann & Ivan Savelyev & Jeff R. Carpenter, 2025. "Direct observations of airflow separation over ocean surface waves," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
    4. Cong Gao & Lei Zhou & I.-I. Lin & Chunzai Wang & Shoude Guan & Fei-Fei Jin & Raghu Murtugudde, 2025. "Crucial role of subsurface ocean variability in tropical cyclone genesis," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    5. Eric Oliver & Jinyu Sheng & Keith Thompson & Jorge Blanco, 2012. "Extreme surface and near-bottom currents in the northwest Atlantic," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1425-1446, November.
    6. Adam Bechle & Chin Wu, 2014. "The Lake Michigan meteotsunamis of 1954 revisited," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(1), pages 155-177, October.
    7. Wang, Hao & Wang, Tongguang & Ke, Shitang & Hu, Liang & Xie, Jiaojie & Cai, Xin & Cao, Jiufa & Ren, Yuxin, 2023. "Assessing code-based design wind loads for offshore wind turbines in China against typhoons," Renewable Energy, Elsevier, vol. 212(C), pages 669-682.
    8. Vahid Valamanesh & Andrew T. Myers & Sanjay R. Arwade & Jerome F. Hajjar & Eric Hines & Weichiang Pang, 2016. "Wind-wave prediction equations for probabilistic offshore hurricane hazard analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 541-562, August.
    9. V. Cardone & A. Cox, 2009. "Tropical cyclone wind field forcing for surge models: critical issues and sensitivities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 51(1), pages 29-47, October.
    10. Jian Yang & Yu Chen & Hua Zhou & Zhongdong Duan, 2021. "A height-resolving tropical cyclone boundary layer model with vertical advection process," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 723-749, May.
    11. Wang, H. & Ke, S.T. & Wang, T.G. & Zhu, S.Y., 2020. "Typhoon-induced vibration response and the working mechanism of large wind turbine considering multi-stage effects," Renewable Energy, Elsevier, vol. 153(C), pages 740-758.
    12. Chi-Sann Liou, 2007. "Sensitivity of high-resolution tropical cyclone intensity forecasts to surface flux parameterization," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 41(3), pages 387-399, June.
    13. Hung-Ju Shih & Chih-Hsin Chang & Wei-Bo Chen & Lee-Yaw Lin, 2018. "Identifying the Optimal Offshore Areas for Wave Energy Converter Deployments in Taiwanese Waters Based on 12-Year Model Hindcasts," Energies, MDPI, vol. 11(3), pages 1-21, February.
    14. Wei, K. & Arwade, S.R. & Myers, A.T. & Hallowell, S. & Hajjar, J.F. & Hines, E.M. & Pang, W., 2016. "Toward performance-based evaluation for offshore wind turbine jacket support structures," Renewable Energy, Elsevier, vol. 97(C), pages 709-721.
    15. Dat T. Pham & Adam D. Switzer & Gabriel Huerta & Aron J. Meltzner & Huan M. Nguyen & Emma M. Hill, 2019. "Spatiotemporal variations of extreme sea levels around the South China Sea: assessing the influence of tropical cyclones, monsoons and major climate modes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(3), pages 969-1001, September.
    16. Yashvant Das, 2018. "Parametric modeling of tropical cyclone wind fields in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(2), pages 1049-1084, September.
    17. Bruce Harper & Thomas Hardy & Luciano Mason & Ross Fryar, 2009. "Developments in storm tide modelling and risk assessment in the Australian region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 51(1), pages 225-238, October.
    18. Shoude Guan & Fei-Fei Jin & Jiwei Tian & I-I Lin & Iam-Fei Pun & Wei Zhao & John Huthnance & Zhao Xu & Wenju Cai & Zhao Jing & Lei Zhou & Ping Liu & Yihan Zhang & Zhiwei Zhang & Chun Zhou & Qingxuan Y, 2024. "Ocean internal tides suppress tropical cyclones in the South China Sea," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    19. Md Arifur Rahman & Yu Zhang & Lixin Lu & Saeed Moghimi & Kelin Hu & Ali Abdolali, 2023. "Relative accuracy of HWRF reanalysis and a parametric wind model during the landfall of Hurricane Florence and the impacts on storm surge simulations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 869-904, March.
    20. Wang, H. & Ke, S.T. & Wang, T.G. & Kareem, A. & Hu, L. & Ge, Y.J., 2022. "Multi-stage typhoon-induced wind effects on offshore wind turbines using a data-driven wind speed field model," Renewable Energy, Elsevier, vol. 188(C), pages 765-777.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:120:y:2024:i:14:d:10.1007_s11069-024-06717-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.