Gazi Mamunar Rashid^1,, M. M. Touhid Hossain¹, Md. Abdullah Elias Akhter², M. A. K. Mallik³

A cold wave is a weather phenomenon that is distinguished by marked cooling of the air, or with the invasion of very cold air, over a large area. In the present study, the Weather Research and Forecasting (WRF) model was tested through 30 different combinations of radiation parameterization schemes to simulate the regional climate over the Bangladesh. The objective was to investigate the response to the radiation parameters schemes for dynamic down-scaling of climatic variables. The temperature from the 30 different WRF setups were compared with the BMD observed data and were found sensitive to the radiation physics. The 30 combination of radiation physics along with the fixed WRF Single-moment 3-class microphysics, Kain-Fritiches cumulus physics, Noah Land Surface Physics and YSU planetary boundary-layer physics produced comparable results for 02 to 05 January 2019, 15 to 18 January 2019, 02 to 05 February 2019 and 28 to 31 December 2019. Having analyzed the simulation results using the different radiation physics schemes on the basis of RMSE at 2-meter air temperature at 34 stations over Bangladesh, we conclude that the New Goddard for long wave and Dudhia for short wave schemes combination (2.140764) is the most appropriate to simulate in the winter Extreme temperature. Then the selected combinations of WRF parameterizations were used to downscale the Extreme cold weather events, which showed good agreement with the reference data. The suggested WRF parameters from this study could be utilized for regional climate modeling of Bangladesh.

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