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An improved cyclonic wind distribution for computation of storm surges

Author

Listed:
  • Smita Pandey

    (Indian Institute of Technology Delhi)

  • A. D. Rao

    (Indian Institute of Technology Delhi)

Abstract

The rise of total water levels at the coast is caused primarily by three factors that encompass storm surges, tides and wind waves. The accuracy of total water elevation (TWE) forecast depends not only on the cyclonic track and its intensity, but also on the spatial distribution of winds which include its speed and direction. In the present study, the cyclonic winds are validated using buoy winds for the recent cyclones formed in the Bay of Bengal since 2010 using Jelesnianski wind scheme. It is found that the cyclonic winds computed from the scheme show an underestimate in the magnitude and also a mismatch in its direction. Hence, the wind scheme is suitably modified based on the buoy observations available at different locations using a power law which reduces the exponential decay of winds by about 30%. Moreover, the cyclonic wind direction is also corrected by suitably modifying its inflow angle. The significance of modified exponential factor and inflow angle in the computation cyclonic winds is highlighted using statistical analysis. A hydrodynamic finite element-based Advanced Circulation 2D depth integrated (ADCIRC-2DDI) model is used here to compute TWE as a response to combined effect of cyclonic winds and astronomical tides. As contribution of wave setup plays an important role near the coast, a coupled ADCIRC + SWAN is used to perceive the contribution of wind waves on the TWE. The experiments are performed to validate computed surge residuals with available tide gauge data. On comparison of observed surge residuals with the simulations using modified winds from the uncoupled and coupled models, it is found that the simulated surge residuals are better compared, especially with the inclusion of wave effect through the coupled model.

Suggested Citation

  • Smita Pandey & A. D. Rao, 2018. "An improved cyclonic wind distribution for computation of storm surges," 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(1), pages 93-112, May.
  • Handle: RePEc:spr:nathaz:v:92:y:2018:i:1:d:10.1007_s11069-018-3193-3
    DOI: 10.1007/s11069-018-3193-3
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    References listed on IDEAS

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    1. A. Rao & P. Murty & Indu Jain & R. Kankara & S. Dube & T. Murty, 2013. "Simulation of water levels and extent of coastal inundation due to a cyclonic storm along the east coast of 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. 66(3), pages 1431-1441, April.
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    Cited by:

    1. Chao Yin & Haijun Huang & Daoru Wang & Yanxia Liu, 2022. "Tropical cyclone-induced wave hazard assessment in Hainan Island, China," 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. 113(1), pages 103-123, August.
    2. Pawan Tiwari & A. D. Rao & Smita Pandey & Vimlesh Pant, 2024. "Assessing the influence of land use and land cover data on cyclonic winds and coastal inundation due to tropical cyclones: a case study for the east coast of 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. 120(11), pages 10219-10240, September.
    3. Anup Kumar Mandal & Ratheesh Ramakrishnan & Smita Pandey & A. D. Rao & Prashant Kumar, 2020. "An early warning system for inundation forecast due to a tropical cyclone along the east coast of 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. 103(2), pages 2277-2293, September.
    4. Shuaikang Zhao & Ziwei Liu & Xiaoran Wei & Bo Li & Yefei Bai, 2021. "Intercomparison of Empirical Formulations of Maximum Wind Radius in Parametric Tropical Storm Modeling over Zhoushan Archipelago," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
    5. S. V. Samiksha & A. Tharani & V. Sanil Kumar & Charls Antony, 2023. "Performance of ERA5 winds on computed storm surge and wave–current interaction using a coupled model during Ockhi 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. 116(2), pages 1759-1774, March.

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