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.