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Impact of Cloud Parameterization Schemes on The Simulation of Cyclone Vardah using the WRF Model


Affiliations
1 Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India
 

The objective of this study is to examine the sensitivity of cumulus and microphysics schemes when simulating the track, intensity and inner core structure of the very severe cyclonic storm (VSCS) Vardah using the Weather Research and Forecasting (WRF) model. Four cumulus parameterization schemes (CPS) and six microphysics schemes (MPS) were used. Both the track and intensity of cyclone Vardah are seen to be sensitive to the CPS and MPS. New simplified Arakawa– Schubert scheme (NSAS) as CPS and Kessler scheme (KS) as MPS combination has better predicted the track and intensity of the cyclone with respect to the Indian Meteorological Department (IMD) data when compared to other schemes. To verify the robustness of the best set of schemes for cyclone Vardah, two random sets of schemes as well as the best set of schemes were run for cyclones Hudhud and Thane.

Keywords

Cyclone Vardah, Cumulus Parameterization, Microphysics Parameterization, WRF Model.
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  • Impact of Cloud Parameterization Schemes on The Simulation of Cyclone Vardah using the WRF Model

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Authors

C. P. R. Sandeep
Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India
C. Krishnamoorthy
Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India
C. Balaji
Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India

Abstract


The objective of this study is to examine the sensitivity of cumulus and microphysics schemes when simulating the track, intensity and inner core structure of the very severe cyclonic storm (VSCS) Vardah using the Weather Research and Forecasting (WRF) model. Four cumulus parameterization schemes (CPS) and six microphysics schemes (MPS) were used. Both the track and intensity of cyclone Vardah are seen to be sensitive to the CPS and MPS. New simplified Arakawa– Schubert scheme (NSAS) as CPS and Kessler scheme (KS) as MPS combination has better predicted the track and intensity of the cyclone with respect to the Indian Meteorological Department (IMD) data when compared to other schemes. To verify the robustness of the best set of schemes for cyclone Vardah, two random sets of schemes as well as the best set of schemes were run for cyclones Hudhud and Thane.

Keywords


Cyclone Vardah, Cumulus Parameterization, Microphysics Parameterization, WRF Model.

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DOI: https://doi.org/10.18520/cs%2Fv115%2Fi6%2F1143-1153