Parameterization and Application of Storm Surge/Tide Modeling Using a Genetic Algorithm for Typhoon Periods

作     者：Sung Hyup YOU Yong Hee LEE Woo Jeong LEE 

作者机构：Marine Meteorology Division Observation Infrastructure Bureau/KMA Korea Forecast Research Laboratory National Institute of Meteorological Research/KMA Korea Global Environment System Research Laboratory National Institute of Meteorological Research/KMA Korea 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2011年第28卷第5期

页      面：1067-1076页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the National Institute of Meteorological Research of the Korea Meteorological Administration 

主　　题：genetic algorithm STORM sea level typhoon 

摘      要：A genetic algorithm was used to optimize the parameters of the two-dimensional Storm Surge/Tide Operational Model （STORM） to improve sea level *** genetic algorithm was applied to nine typhoons that affected the Korean Peninsula during *** following model parameters were used：the bottom drag coefficient,the background horizontal diffusivity,Smagorinski＇s horizontal viscosity,and the sea level pressure ***,the simulation results using the optimized,mean,and median parameter values improved sea level *** four estimated parameters improved the sea level prediction by 76% and 54% in the bias and root mean square error for Typhoon Kalmaegi （0807） in 2008,***-month simulations of February and August 2008 were also improved using the estimated *** study demonstrates that parameter optimization on STORM can improve sea level prediction.