EXPERIMENTS TO TRACK STORMS USING MODERN OPTIMIZATION ALGORITHMS  

作　　者：李南 魏鸣 

机构地区：[1]Key Laboratory of Meteorological Disaster of Ministry of Education,Nanjing University of Information Science & Technology [2]School of Atmospheric Physics,Nanjing University of Information Science & Technology [3]State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences

出　　处：《Journal of Tropical Meteorology》2010年第3期280-291,共12页热带气象学报（英文版）

基　　金：National Natural Science Foundation of China (60674074);Natural Science Foundation of Jiangsu province (BK2009415);Research Fund for the Doctoral Program of Higher Education of China (20093228110002);College Graduate Student Research and Innovation Program of Jiangsu province (CX09B_227Z);Meteorology Industry Special Project of CMA (GYHY(QX)2007-6-2);National 863 Project (2007AA061901);Project of State Key Laboratory of Severe Weather of Chinese Academy of Meteorological Sciences (2008LASW-B11);Project 2009Y0006

摘　　要：Storm identification and tracking based on weather radar data are essential to nowcasting and severe weather warning. A new two-dimensional storm identification method simultaneously seeking in two directions is proposed, and identification results are used to discuss storm tracking algorithms. Three modern optimization algorithms （simulated annealing algorithm, genetic algorithm and ant colony algorithm） are tested to match storms in successive time intervals. Preliminary results indicate that the simulated annealing algorithm and ant colony algorithm are effective and have intuitionally adjustable parameters, whereas the genetic algorithm is unsatisfaetorily constrained by the mode of genetic operations Experiments provide not only the feasibility and characteristics of storm tracking with modern optimization algorithms, but also references for studies and applications in relevant fields.Storm identification and tracking based on weather radar data are essential to nowcasting and severe weather warning.A new two-dimensional storm identification method simultaneously seeking in two directions is proposed,and identification results are used to discuss storm tracking algorithms.Three modern optimization algorithms (simulated annealing algorithm,genetic algorithm and ant colony algorithm) are tested to match storms in successive time intervals.Preliminary results indicate that the simulated annealing algorithm and ant colony algorithm are effective and have intuitionally adjustable parameters,whereas the genetic algorithm is unsatisfactorily constrained by the mode of genetic operations.Experiments provide not only the feasibility and characteristics of storm tracking with modern optimization algorithms,but also references for studies and applications in relevant fields.

关 键 词：raw weather radar data storm identification and tracking optimization algorithms 

分 类 号：P457.9[天文地球—大气科学及气象学]