T. D. Gamage. D.U.J. Sonnadara. S. Jayasinghe. S. Basnayake

Department of Electrical and Information Engineering, University of Ruhuna, Sri Lanka, Email: tharindu@eie.ruh.ac.lk, Department of Physics, University of Colombo, Sri Lanka, Email: upul@phys.cmb.ac.lk , Climate Resilience Department, Asian Disaster Preparedness Center, Thailand, Email: susantha@adpc.net, Climate Resilience Department, Asian Disaster Preparedness Center, Thailand, Email: senaka basnayake@adpc.net

Received in final form on January 22, 2022

Abstract
This study is to identify the best set of physics options in simulating the daily rainfall under the influence of the cyclone "Amphan" using Weather Research and Forecasting (WRF). Twelve different combinations of physics options are experimented. Pattern correlation between the simulated and satellite measured rainfall obtained using Global Precipitation Measurement (GPM) is calculated for each experiment as a measure of simulation accuracy. In general the intensity of the simulated rainfall comparatively lower but on the other hand, the area and the pattern is accurately simulated by the identified set of physics options. The best set of physics options were identified by calculating the average pattern correlation of the simulations carried out over six days. 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.

Keywords
WRF, physics options, rainfall, tropical cyclone, Amphan, North Indian Ocean, Sri Lanka.

Cite This Article
T. D. Gamage. D.U.J. Sonnadara. S. Jayasinghe. S. Basnayake, Sensitivity Analysis of Simulating Rainfall Over Sri Lanka Associated with the Cyclone Amphan Using WRF, J. Innovation Sciences and Sustainable Technologies, 2(1)(2022),33-39. https://doie.org/10.0608/JISST.2022675509

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