Abstract
The present study explores the performance of different microphysics (MP) and cumulus parameterization (CP) scheme in the simulation of an extreme rainfall event during 0000 UTC July 11 2016 - 0000 UTC July 12, 2016 at the west coast of India, Mumbai. Twelve experiments were conducted using a dynamic core of Advanced Weather Research and Forecasting (WRF) model with Three Dimensional-Variational (3D-Var) assimilation system. The Global Forecast System (GFS) analysis data were utilised with INSAT-3D sounder profile and compared with Global Satellite Mapping of Precipitation (GSMaP). The results indicate that among all experiments, WRF Single-Moment 6-class (WSM6) - the microphysics scheme has better quality in simulation of the rainfall over the Betts-Miller-Janjic (BMJ) - the cumulus parameterization scheme, and all four MP schemes with BMJ - cumulus parameterization combination gives the accurate predictive ability over the region.
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