Abstract:
The cyclone “Amphan” is reported from 16th to 21st May 2020. It has affected Sri Lanka during
its initial stage and moved towards the “Bay of Bengal”. This study is to identify the best set
of physics options in simulating the daily rain fall under the influence of the cyclone “Amphan”
using Weather Research and Forecasting (WRF) model. The considered physics options are
microphysics (MP), cumulus parameterization (CU) and planetary boundary layer (PBL).
Twelve different combinations of those physics options are experimented. The best
combination is identified by calculating the pattern correlation between the simulated and
satellite measured rainfall obtained using Global Precipitation Measurement (GPM). GPM
Level 3 dataset is used in this research with 0.1◦
x 0.1◦
resolution.
Pattern correlation is calculated by considering the rainfall of the entire simulation domain for
a period of 24 hours. The total length of the simulation was six days and the average pattern
correlation is calculated to identify the best physics option combination. The physics option
combination which had the highest average pattern correlation was “Thompson Scheme” for
MP, “new modified Tiedtke scheme” for CU and “University of Washington scheme” for PBL.
In general the intensity of the simulated rainfall is comparatively lower but on the other hand
the area and the pattern is accurately simulated by the identified set of physics options. We
conclude that the use of such physics option combination with WRF has the potential in
forecasting the rainfall in Sri Lanka under the influence of a cyclone.
