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A SEARCH TECHNIQUE FOR CHOOSING OPTIMUM PARAMETERS IN NUMERICAL WEATHER PREDICTION
作者姓名:Liu Jin  Yan Hong
作者单位:National Meteorological Center State Meteorological Administration,Beijing
摘    要:The steepest descent(or ascent)search is employed for finding optimum diffusion coefficients in T42L9Gmodel,with a view to improving the model's computational stability or prediction accuracy.The method of thesteepest descent search is first described,in which the golden section search is chosen as the fundamental one-dimensional search used in the multi-dimentional steepest descent search,and then the optimization of the dif-fusion coefficients is described.

收稿时间:1990/11/1 0:00:00

A SEARCH TECHNIQUE FOR CHOOSING OPTIMUM PARAMETERS IN NUMERICAL WEATHER PREDICTION
Liu Jin,Yan Hong.A SEARCH TECHNIQUE FOR CHOOSING OPTIMUM PARAMETERS IN NUMERICAL WEATHER PREDICTION[J].Acta Meteorologica Sinica,1991,5(5):598-607.
Authors:Liu Jinda and Yan Hong
Institution:National Meteorological Center, State Meteorological Administration, Beijing;National Meteorological Center, State Meteorological Administration, Beijing
Abstract:The steepest descent(or ascent)search is employed for finding optimum diffusion coefficients in T42L9G model,with a view to improving the model's computational stability or prediction accuracy.The method of the steepest descent search is first described,in which the golden section search is chosen as the fundamental one- dimensional search used in the multi-dimentional steepest descent search,and then the optimization of the dif- fusion coefficients is described.
Keywords:steepest descent search  one-dimensional search  golden section search  optimum diffusion coefficients  optimum parameters
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