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has been cited by the following article:

• TITLE: Analysis of Extreme Rainfall Event with Different Microphysics and Parameterization Schemes in WRF Model

  AUTHORS: Hiren Satishkumar Lekhadiya, Ranjan Kumar Jana

  KEYWORDS: Data Assimilation, NWP Model, Prediction, Parameterization Schemes

  JOURNAL NAME: Positioning, Vol.9 No.1, February 28, 2018

  ABSTRACT: In the present study, the imitation of heavy rainfall event which occurred over Jharkhand during 18 August 2016 was taken as a case study. Weather Research and Forecasting (WRF) model has been utilized for this study. National Centers for Environmental Prediction (NCEP) analysis data is compared with GSMaP data with different combination of physical parameterization scheme like microphysics (MP) and cumulus parameterization (CP). In the present study, three MP schemes: Kessler scheme, Lin et al. scheme and WRF Single-moment 6-class scheme with combination of three CP schemes: Betts-Miller-Janjic scheme, Multi-scale Kain-Fritsch scheme and New simplified Arakawa-Schubert scheme have been used. The model predicted humidity, temperature and precipitation were compared with the GSMaP product. The model nicely depicted the cloud pattern and recognized the rain event spatially. The obtained result shows that the model overestimates the precipitation for all the schemes.