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Prediction of severe tropical cyclones over the Bay of Bengal during 2007–2010 using high-resolution mesoscale model

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  • P. Raju
  • Jayaraman Potty
  • U. Mohanty

Abstract

In this paper, the performance of a high-resolution mesoscale model for the prediction of severe tropical cyclones over the Bay of Bengal during 2007–2010 (Sidr, Nargis, Aila, and Laila) is discussed. The advanced Weather Research Forecast (WRF) modeling system (ARW core) is used with a combination of Yonsei University PBL schemes, Kain-Fritsch cumulus parameterization, and Ferrier cloud microphysics schemes for the simulations. The initial and boundary conditions for the simulations are derived from global operational analysis and forecast products of the National Center for Environmental Prediction-Global Forecast System (NCEP-GFS) available at 1°lon/lat resolution. The simulation results of the extreme weather parameters such as heavy rainfall, strong wind and track of those four severe cyclones, are critically evaluated and discussed by comparing with the Joint Typhoon Warning Center (JTWC) estimated values. The simulations of the cyclones reveal that the cyclone track, intensity, and time of landfall are reasonably well simulated by the model. The mean track error at the time of landfall of the cyclone is 98 km, in which the minimum error was found to be for the cyclone Nargis (22 km) and maximum error for the cyclone Laila (304 km). The landfall time of all the cyclones is also fairly simulated by the model. The distribution and intensity of rainfall are well simulated by the model as well and were comparable with the TRMM estimates. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • P. Raju & Jayaraman Potty & U. Mohanty, 2012. "Prediction of severe tropical cyclones over the Bay of Bengal during 2007–2010 using high-resolution mesoscale model," 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. 63(3), pages 1361-1374, September.
    • Handle: RePEc:spr:nathaz:v:63:y:2012:i:3:p:1361-1374
    DOI: 10.1007/s11069-011-9918-1
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    References listed on IDEAS

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    1. Kerry Emanuel, 2005. "Increasing destructiveness of tropical cyclones over the past 30 years," Nature, Nature, vol. 436(7051), pages 686-688, August.
    2. D. Rao & Dasari Prasad, 2007. "Sensitivity of tropical cyclone intensification to boundary layer and convective processes," 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 429-445, June.
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    Cited by:

    1. M. Sateesh & C. V. Srinivas & P. V. S. Raju, 2017. "Numerical simulation of tropical cyclone thane: role of boundary layer and surface drag parameterization schemes," 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 1255-1271, December.
    2. M. Islam & Mehedi Hasan, 2016. "Climate-induced human displacement: a case study of Cyclone Aila in the south-west coastal region of Bangladesh," 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. 81(2), pages 1051-1071, March.
    3. M. Rezaul Islam & Mehedi Hasan, 2016. "Climate-induced human displacement: a case study of Cyclone Aila in the south-west coastal region of Bangladesh," 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. 81(2), pages 1051-1071, March.
    4. Deepak Subramani & R. Chandrasekar & K. Ramanujam & C. Balaji, 2014. "A new ensemble-based data assimilation algorithm to improve track prediction of tropical cyclones," 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. 71(1), pages 659-682, March.
    5. Tanvir Islam & Prashant Srivastava & Miguel Rico-Ramirez & Qiang Dai & Manika Gupta & Sudhir Singh, 2015. "Tracking a tropical cyclone through WRF–ARW simulation and sensitivity of model physics," 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. 76(3), pages 1473-1495, April.

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