Abstract:
In this study, the sensitivity of numerical simulations of tropical cyclone to physical
parameterizations is carried out with a view to determine the best set of physics options for
prediction of cyclones originating in the north Indian Ocean. For this purpose, the tropical
cyclone Mahasen that formed in the Bay of Bengal and crossed Bangladesh-Myanmar coast
in the month of May, 2013 has been simulated by the advanced (or state of science)
mesoscale Weather Research and Forecasting (WRF) model with the available physical
parameterizations. To determine on the prediction of track and intensity of Tropical Cyclone
Mahasen has been used single domain with latitude from 2.0450 N to 26.4800N and longitude
from 73.960 E to 97.040E. Domain has been used 12 km horizontal resolution. Different run
and different physical parameterizations have been used available in the model. The different
physical parameterizations schemes are KF, BMJ , GF, OSAS and Grell-3 for Cumulus;
YSU, MYJ, GBM, MYNN3, ACM2, MYNN2, BouLac, UW, TEMF and MRF for Planetary
Boundary Layer; WSM6, Kessler, Purdue Lin, WSM3, WSM5, Eta, Thompson, Morrison
2-mom, CAM5.1, SBU-Ylin, WDM5, WDM6, NSSL 2-mom, NSSL 2-mom-CCN, NSSL
1-mom and NSSL 1-momlfo for Microphysics; UNLS, TDS, RUC, NLS, CLM4.0 and PXS
for Land surface model; Dudhia, GSFC ARW+Chem(τ), CAM, RRTMG, New Goddard and
FLG for Short Wave Radiation; RRTM, CAM Long wave (CAM), RRTMG, New Goddard
FLG and Held-Suarez for Long Wave Radiation that have been used for the purpose to test
the Sensitivity of Tropical Cyclone Mahasen to Physical Parameterization Schemes using
Weather Research & Forecasting (WRF) model. Three parameters track, wind speed and
CSLP has been used for calculating Root Mean Square Error (RMSE) to find the best
physical made using parameterizations option with respect to observed. Finally Betts Miller
Janjic (BMJ) for Cumulus, Medium Range Forecast Model (MRF) for Planetary Boundary
Layer (PBL), WRF Single Moment 3-class simple ice scheme (WSM3) for Microphysics
(MP), Unified Noah land-Surface Model (UNLS) for Land surface model (LSM), Dudhia
(MM5) for Short Wave Radiation (SWR) and Rapid Radiative Transfer Model (RRTM) for
Long Wave Radiation (LWR) were found the best among available physics option.