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In-Depth Information
Sensitivity of Mesoscale Simulation
of Aila Cyclone to the
Parameterization of Physical
Processes Using WRF Model
Kuvar Satya Singh and M. Mandal*
Centre for Oceans, Rivers, Atmosphere and Land Sciences
Indian Institute of Technology Kharagpur, West Bengal, India
*e-mail: mmandal@coral.iitkgp.ernet.in
1. Introduction
Land falling tropical cyclones (TCs) that form over the Bay of Bengal (BoB)
cause enormous damage to the life and property along the east coast of India,
Bangladesh and Myanmar. The focal point in reducing TC disaster is to provide
more accurate prediction of the track, intensity and landfall of the storm. A
number of studies (Anthes, 1982; Davis et al., 2001) suggested that the
numerical prediction of tropical cyclone depends on representation of various
physical processes in the model. Mandal et al. (2004) studied the sensitivity of
cumulus convection, planetary boundary layer (PBL) and radiation
parameterization towards mesoscale simulation of BoB cyclones using fifth
generation mesoscale model (MM5). Their study indicates that the model
simulation is sensitive to the choice of cumulus convection, PBL and radiation
parameterization schemes. Bhaskar Rao et al. (2006) and Srinivas et al. (2007)
examined the role of the parameterization of convection, PBL and explicit
moisture processes on track and intensity prediction of TCs using MM5. Their
results indicate that convective processes play an important role in modulating
the track of the storm while PBL processes play crucial role in the intensification
as well as the motion of the cyclone.
Li and Pu (2009) customized Advanced Research Weather Research and
Forecasting system (WRF-ARW) with 9 km horizontal resolution for simulation
of hurricane Emily through sensitivity studies with different convection and
PBL schemes and suggested that convection is more sensitive than PBL schemes
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