EXPERIMENTS TO TRACK STORMS USING MODERN OPTIMIZATION ALGORITHMS

• 作 者: LI Nan WEI Ming
• 机 构: Key Laboratory of Meteorological Disaster of Ministry of Education,School of Atmospheric Physics,Sta
• 出 处: 热带气象学报（英文版）
• 发表日期: 2004年期
• 关键词: raw weather radar data storm identification and tracking optimization algorithms
• 基金项目: 江苏省自然科学基金;教育部高等学校博士学科点专项科研基金;Key University Science Research Project of Jiangsu Province;国家高技术研究发展计划(863计划);Project of State Key Laboratory of Severe Weather of Chinese Academy of Meteorological Scien

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.