首页|Combinatorial Optimization of Physics Parameterization Schemes for Typhoon Simulation Based on a Simple Genetic Algorithm(SGA)
Combinatorial Optimization of Physics Parameterization Schemes for Typhoon Simulation Based on a Simple Genetic Algorithm(SGA)
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Each physical process in a numerical weather prediction(NWP)system may have many different parameterization schemes.Early studies have shown that the performance of different physical parameterization schemes varies with the weather situation to be simulated.Thus,it is necessary to select a suitable combination of physical parameteriza-tion schemes according to the variation of weather systems.However,it is rather difficult to identify an optimal com-bination among millions of possible parameterization scheme combinations.This study applied a simple genetic al-gorithm(SGA)to optimizing the combination of parameterization schemes in NWP models for typhoon forecasting.The feasibility of SGA was verified with the simulation of Typhoon Mujigae(2015)by using the Weather Research and Forecasting(WRF)model and Typhoon Higos(2020)by using the Coupled Ocean-Atmosphere-Wave-Sedi-ment Transport(COAWST)modeling system.The results show that SGA can efficiently obtain the optimal combina-tion of schemes.For Typhoon Mujigae(2015),the optimal combination can be found from the 1,304,576 possible combinations by running only 488 trials.Similar results can be obtained for Typhoon Higos(2020).Compared to the default combination proposed by the COAWST model system,the optimal combination scheme significantly im-proves the simulation of typhoon track and intensity.This study provides a feasible way to search for the optimal combinations of physical parameterization schemes in WRF and COAWST for more accurate typhoon simulation.This can help provide references for future development of NWP models,and for analyzing the coordination and ad-aptability of different physical process parameterization schemes under specific weather backgrounds.
China Meteorological Administration-Guangdong Ocean University Joint Laboratory for Marine Meteorology,South China Sea Institute of Marine Meteorology,Guangdong Ocean University,Zhanjiang 524088
College of Ocean and Meteorology,Guangdong Ocean University,Zhanjiang 524088
Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,China Meteorological Administration,Guangzhou 510640
Shenzhen Institute of Guangdong Ocean University,Shenzhen 518120
College of Atmospheric Science,Lanzhou University,Lanzhou 730000
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国家自然科学基金深圳市科技计划Guangdong Province Introduction of Innovative Research and Development Team Project China
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