IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v108y2021i1d10.1007_s11069-021-04702-z.html
   My bibliography  Save this article

Tropical Cyclones in the Arabian Sea: overview and simulation of winds and storm-induced waves

Author

Listed:
  • Mohsen Soltanpour

    (K. N. Toosi University of Technology)

  • Zahra Ranji

    (K. N. Toosi University of Technology)

  • Tomoya Shibayama

    (Waseda University)

  • Sarmad Ghader

    (University of Tehran)

Abstract

Three recent Tropical Cyclones (TCs) over the Arabian Sea, i.e., the super cyclone Gonu, the low intense cyclone Ashobaa, and cyclone Phet (with an unusual track), are studied using a high-resolution atmosphere-wave model and observations. The reliable performances of both atmospheric and wave models were established using the available field measurements, in which the modeling improvement in comparison with the previous studies is met. The effects of input parameterizations on the wave and wind estimations in the presence of TCs were examined. TCs track and intensity were more sensitive to the microphysics and cumulus schemes. Concerning the multi and single peaked wave spectra, three steps of wave generation, growth, and dissipation were addressed. Bimodal seas and swells exist in both generation and dissipation stages, whereas the seas are dominant in the growth stage. The performance of Westhuysen was better in modeling the combination of seas and swells.

Suggested Citation

  • Mohsen Soltanpour & Zahra Ranji & Tomoya Shibayama & Sarmad Ghader, 2021. "Tropical Cyclones in the Arabian Sea: overview and simulation of winds and storm-induced waves," 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. 108(1), pages 711-732, August.
  • Handle: RePEc:spr:nathaz:v:108:y:2021:i:1:d:10.1007_s11069-021-04702-z
    DOI: 10.1007/s11069-021-04702-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-021-04702-z
    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/s11069-021-04702-z?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Ryota Nakamura & Tomoya Shibayama & Miguel Esteban & Takumu Iwamoto, 2016. "Future typhoon and storm surges under different global warming scenarios: case study of typhoon Haiyan (2013)," 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. 82(3), pages 1645-1681, July.
    2. Medha Deshpande & S. Pattnaik & P. Salvekar, 2010. "Impact of physical parameterization schemes on numerical simulation of super cyclone Gonu," 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. 55(2), pages 211-231, November.
    3. Danqin Ren & Jiantin Du & Feng Hua & Yongzeng Yang & Lei Han, 2016. "Analysis of different atmospheric physical parameterizations in COAWST modeling system for the Tropical Storm Nock-ten application," 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. 82(2), pages 903-920, June.
    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. Kai Yin & Sudong Xu & Quan Zhao & Nini Zhang & Mengqi Li, 2021. "Effects of sea surface warming and sea-level rise on tropical cyclone and inundation modeling at Shanghai 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. 109(1), pages 755-784, October.
    2. Jamero, Ma. Laurice & Esteban, Miguel & Chadwick, Christopher & Onuki, Motoharu, 2019. "Rethinking the Limits of Climate Change Adaptation," ADB Economics Working Paper Series 584, Asian Development Bank.
    3. Martin Mäll & Ryota Nakamura & Ülo Suursaar & Tomoya Shibayama, 2020. "Pseudo-climate modelling study on projected changes in extreme extratropical cyclones, storm waves and surges under CMIP5 multi-model ensemble: Baltic Sea perspective," 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. 102(1), pages 67-99, May.
    4. Sooncheol Hwang & Sangyoung Son & Chilwoo Lee & Hyun-Doug Yoon, 2020. "Quantitative assessment of inundation risks from physical contributors associated with future storm surges: a case study of Typhoon Maemi (2003)," 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. 104(2), pages 1389-1411, November.
    5. Johnny D. Dariagan & Ramil B. Atando & Jay Lord B. Asis, 2021. "Disaster preparedness of local governments in Panay Island, Philippines," 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. 105(2), pages 1923-1944, January.
    6. R. Chandrasekar & C. Balaji, 2016. "Impact of physics parameterization and 3DVAR data assimilation on prediction of tropical cyclones in the Bay of Bengal 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. 80(1), pages 223-247, January.
    7. Thit Oo Kyaw & Miguel Esteban & Martin Mäll & Tomoya Shibayama, 2021. "Extreme waves induced by cyclone Nargis at Myanmar coast: numerical modeling versus satellite observations," 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. 106(3), pages 1797-1818, April.
    8. Ryota Nakamura & Martin Mäll & Tomoya Shibayama, 2019. "Street-scale storm surge load impact assessment using fine-resolution numerical modelling: a case study from Nemuro, Japan," 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. 99(1), pages 391-422, October.
    9. S. Fadnavis & Medha Deshpande & Sachin Ghude & P. Ernest Raj, 2014. "Simulation of severe thunder storm event: a case study over Pune, 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. 72(2), pages 927-943, June.
    10. Indrajit Ghosh & Sukhen Das & Nabajit Chakravarty, 2022. "Anomaly temperature in the genesis of tropical cyclone," 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. 114(2), pages 1477-1503, November.
    11. C. Srinivas & V. Yesubabu & K. Hariprasad & S. Ramakrishna & B. Venkatraman, 2013. "Real-time prediction of a severe cyclone ‘Jal’ over Bay of Bengal using a high-resolution mesoscale model WRF (ARW)," 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. 65(1), pages 331-357, January.
    12. Chengcheng Wan & Yafei Yan & Liucheng Shen & Jianli Liu & Xiaoxia Lai & Wei Qian & Juan Nie & Jiahong Wen, 2023. "Damage analysis of retired typhoons in mainland China from 2009 to 2019," 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(3), pages 3225-3242, April.
    13. Funing Li & Jinbao Song & Xia Li, 2018. "A preliminary evaluation of the necessity of using a cumulus parameterization scheme in high-resolution simulations of Typhoon Haiyan (2013)," 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. 92(2), pages 647-671, June.
    14. Martin Mäll & Ülo Suursaar & Ryota Nakamura & Tomoya Shibayama, 2017. "Modelling a storm surge under future climate scenarios: case study of extratropical cyclone Gudrun (2005)," 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. 89(3), pages 1119-1144, December.
    15. V. Yesubabu & C. Srinivas & S. Ramakrishna & K. Hari Prasad, 2014. "Impact of period and timescale of FDDA analysis nudging on the numerical simulation of tropical cyclones in the Bay of Bengal," 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(3), pages 2109-2128, December.

    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:108:y:2021:i:1:d:10.1007_s11069-021-04702-z. 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.