Impact of microphysics parameterization schemes in simulation of vardah cyclone using the advanced mesoscale weather research and forecasting model

  • Authors

    • P Janardhan Saikumar
    • T Ramashri
    2018-08-24
    https://doi.org/10.14419/ijet.v7i3.29.18809
  • Vardah, ARW Model, Physics Parameterizations, Cyclone Track, Track Error

  • Abstract

    The very severe Tropical Cyclone Vardah caused huge damage to property and life in south India during December 2016. The sensitivity of numerical simulations of the very severe tropical cyclone Vardah to different physics parameterization schemes is carried out to determine the best microphysics and cumulus physics parameterization schemes. The WRF Numerical weather prediction model configured with two nested domains. The horizontal resolution of domain-1is 27 km and domain-2 is 9 km. The tropical cyclone Vardah simulated track results were compared with the best track data given by the Indian Meteorological Department (IMD). WRF model Simulations were carried out using different microphysics (mp) parameterization schemes by fixing convective cumulus physics (cu) option to Grell-3D ensemble scheme and boundary layer option to updated Yonsei University scheme. The Vardah Cyclone track well simulated using WRF Single Moment-3 (WSM3) microphysics scheme in combination with G3D cumulus physics scheme. The cumulus physics and microphysics parameterization schemes influence the cyclone track prediction skill.

     

     

  • References

    1. [1] P. Mukhopadhyay, S. Taraphdar, and B. N. Goswami: Influence of Moist Processes on Track and Intensity Forecast of Cyclones over the Indian Ocean. Journal of Geophysical Research. Atmospheres, 116, Published Online, 2011.

      [2] Biranchi Kumar Mahalaa, Pratap Kumar Mohanty, Birendra Kumar Nayak: Impact of Microphysics Schemes in the Simulation of Cyclone Phailin using WRF model. Eighth International Conference on Asian and Pacific Coasts (APAC), 2015.

      [3] R. Chandrasekar and C. Balaji.: Sensitivity of tropical cyclone Jal simulations to physics parameterizations. J. Earth Syst. Sci. 121, No. 4, pp. 923–946, August 2012.

      [4] M. Deshpande, S. Pattnaik and P. Salvekar.: Impact of physical parameterization schemes on numerical simulation of super cyclone Gonu. Natural Hazards 55(2) 211–231, 2010.

      [5] D. Rao and D. Prasad: Sensitivity of tropical cyclone intensification to boundary layer and convective processes. Natural Hazards 41(3) 429–445, 2007.

      [6] K. K. Osuri, U. C. Mohanty, A. Routray, M. A. Kulkarni, and M. Mohapatra: Customization of WRF-ARW model with physical parameterization schemes for the simulation of tropical cyclones over North Indian Ocean. Natural Hazards 63:1337–1359, 2012.

      [7] C. Srinivas, R. Venkatesan, D. Bhaskar Rao, and D. Hari Prasad: Numerical simulation of Andhra severe cyclone (2003): Model sensitivity to the boundary layer and convection parameterization. Pure Appl. Geophys 164 (8–9) 1465–1487, 2007.

      [8] C. V. Srinivas, D. V. B. Rao, V. Yesubabu, R. Baskarana, and B. Venkatraman: Tropical Cyclone Predictions over the Bay of Bengal Using the High-Resolution Advanced Research Weather Research and Forecasting (ARW) Modelâ€. Quarterly Journal of the Royal Meteorological Society, 139, 1810-1825, 2013.

      [9] P.V.S. Raju, J. Potty and U. C. Mohanty: Sensitivity of Physical Parameterizations on the Prediction of Tropical Cyclone Nargis over the Bay of Bengal Using WRF Model. Meteorology and Atmospheric Physics, 113, 125-137, 2011.

      [10] A Report on Very Severe Cyclonic Storm, Vardah over the Bay of Bengal, 06-13 December 2016. Government of India, Ministry Of Earth Sciences, IMD

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  • How to Cite

    Janardhan Saikumar, P., & Ramashri, T. (2018). Impact of microphysics parameterization schemes in simulation of vardah cyclone using the advanced mesoscale weather research and forecasting model. International Journal of Engineering & Technology, 7(3.29), 272-274. https://doi.org/10.14419/ijet.v7i3.29.18809

    Received date: 2018-09-02

    Accepted date: 2018-09-02

    Published date: 2018-08-24