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Simulation of Orissa Super Cyclone (1999) using PSU/NCAR Mesoscale Model

Author

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  • U. Mohanty
  • M. Mandal
  • S. Raman

Abstract

In this study a non-hydrostatic version of Penn State University (PSU) -- NationalCenter for Atmospheric Research (NCAR) mesoscale model is used to simulate thesuper cyclonic storm that crossed Orissa coast on 29 October 1999. The model isintegrated up to 123 h for producing 5-day forecast of the storm. Several importantfields including sea level pressure, horizontal wind and rainfall are compared with theverification analysis/observation to examine the performance of the model. The modelsimulated track of the cyclone is compared with the best-fit track obtained from IndiaMeteorological Department (IMD) and the track obtained from NCEP/NCAR reanalysis. The model is found to perform reasonably well in simulating the track and in particular, the intensity of the storm. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • U. Mohanty & M. Mandal & S. Raman, 2004. "Simulation of Orissa Super Cyclone (1999) using PSU/NCAR 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. 31(2), pages 373-390, February.
  • Handle: RePEc:spr:nathaz:v:31:y:2004:i:2:p:373-390
    DOI: 10.1023/B:NHAZ.0000023358.38536.5d
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    Cited by:

    1. 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.
    2. 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.
    3. Sanjib Deb & C. Kishtawal & V. Bongirwar & P. Pal, 2010. "The simulation of heavy rainfall episode over Mumbai: impact of horizontal resolutions and cumulus 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. 52(1), pages 117-142, January.

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