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气象台站网布局优化研究综述
引用本文:程勇,杨玲,行鸿彦,王伟,王峰,周勇. 气象台站网布局优化研究综述[J]. 南京气象学院学报, 2011, 0(6): 511-518
作者姓名:程勇  杨玲  行鸿彦  王伟  王峰  周勇
作者单位:南京信息工程大学网络信息中心, 南京 210024;南京信息工程大学滨江学院, 南京 210044;南京信息工程大学电子与信息工程学院, 南京 210044;南京信息工程大学电子与信息工程学院, 南京 210044;南京信息工程大学江苏省气象传感网技术工程中心, 南京 210044;南京信息工程大学电子与信息工程学院, 南京 210044;南京信息工程大学江苏省气象传感网技术工程中心, 南京 210044;南京信息工程大学电子与信息工程学院, 南京 210044;南京信息工程大学江苏省气象传感网技术工程中心, 南京 210044;南京信息工程大学江苏省农业气象重点实验室, 南京 210044;中国气象局武汉暴雨研究所, 武汉 430074;南京信息工程大学江苏省农业气象重点实验室, 南京 210044;河海大学水利水电学院, 南京 210098;南京信息工程大学大气科学学院, 南京 210044;南京信息工程大学大气科学学院, 南京 210044;南京信息工程大学大气科学学院, 南京 210044;南京信息工程大学电子与信息工程学院, 南京 210044;南京信息工程大学电子与信息工程学院, 南京 210044;南京信息工程大学电子与信息工程学院, 南京 210044;南京信息工程大学气象灾害省部共建教育部重点实验室, 南京 210044;南京信息工程大学大气物理学院, 南京 210044;南京信息工程大学气象灾害省部共建教育部重点实验室, 南京 210044;南京信息工程大学大气物理学院, 南京 210044;南京信息工程大学气象灾害省部共建教育部重点实验室, 南京 210044;南京信息工程大学大气物理学院, 南京 210044;南京信息工程大学大气物理学院, 南京 210044;南京信息工程大学环境科学与工程学院, 南京 210044;南京信息工程大学环境科学与工程学院, 南京 210044;中国林业科学研究院新疆分院园林绿化研究所, 乌鲁木齐 830000;中国林业科学研究院新疆分院园林绿化研究所, 乌鲁木齐 830000;新疆油田公司, 克拉玛依 834000;新疆油田公司, 克拉玛依 834000;南京信息工程大学数理学院, 南京 210044;南京信息工程大学数理学院, 南京 210044;南京信息工程大学数理学院, 南京 210044;南京信息工程大学数理学院, 南京 210044;南京信息工程大学滨江学院, 南京 210044;南京信息工程大学数理学院, 南京 210044;福州大学数学与计算机科学学院, 福州 350002;福州大学数学与计算机科学学院, 福州 350002;中国海洋大学数学科学学院, 青岛 266100;中国海洋大学数学科学学院, 青岛 266100;南京信息工程大学数理学院, 南京 210044;南京信息工程大学数理学院, 南京 210044;南京信息工程大学数理学院, 南京 210044;南京信息工程大学数理学院, 南京 210044;南京信息工程大学数理学院, 南京 210044;安徽工程大学数理学院, 芜湖 241000;安徽工程大学数理学院, 芜湖 241000
基金项目:南京信息工程大学科研基金
摘    要:气象台站网的布局优化可以提高气象台站观测资料的代表性、准确性和可比较性.简述了气象台站网布局优化方法的国内外研究进展,讨论了气象台站网布局优化方法的关键技术和存在的问题,重点介绍和分析了利用线性内插法、最优内插法、信息论法、因子分析法和经验模式法来进行气象台站网的布局优化,总结了这些方法的可行性.结合气象业务需求变化,提出了气象台站网布局优化方法的改进方向.

关 键 词:气象台站网  布局优化  最优插值
收稿时间:2011-03-24

A survey on the planning and optimization of meteorological station networks
CHENG Yong,YANG Ling,XING Hongyan,WANG Wei,WANG Feng and ZHOU Yong. A survey on the planning and optimization of meteorological station networks[J]. Journal of Nanjing Institute of Meteorology, 2011, 0(6): 511-518
Authors:CHENG Yong  YANG Ling  XING Hongyan  WANG Wei  WANG Feng  ZHOU Yong
Affiliation:Network Information Center, Nanjing University of Information Science & Technology, Nanjing 210044;Binjiang College, Nanjing University of Information Science & Technology, Nanjing 210044;School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;Jiangsu Technology and Engineering Center of Meteorological Sensor Network, Nanjing University of Information Science & Technology, Nanjing 210044;School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;Jiangsu Technology and Engineering Center of Meteorological Sensor Network, Nanjing University of Information Science & Technology, Nanjing 210044;School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;Jiangsu Technology and Engineering Center of Meteorological Sensor Network, Nanjing University of Information Science & Technology, Nanjing 210044;Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044;Wuhan Institute of Heavy Rain, CMA, Wuhan 430074;Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044;College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098;School of Atmospheric Science, Nanjing University of Information Science & Technology, Nanjing 210044;School of Atmospheric Science, Nanjing University of Information Science & Technology, Nanjing 210044;School of Atmospheric Science, Nanjing University of Information Science & Technology, Nanjing 210044;1. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;1. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;1. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044;School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044;Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044;School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044;Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044;School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044;School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044;School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;Xinjiang Academy of Forest Science, Urumqi 830000;Xinjiang Academy of Forest Science, Urumqi 830000;Xinjiang Oilfield Company, Karamay 834000;Xinjiang Oilfield Company, Karamay 834000;College of Mathematics & Physics, Nanjing University of Information Science & Technology, Nanjing 210044;College of Mathematics & Physics, Nanjing University of Information Science & Technology, Nanjing 210044;College of Mathematics & Physics, Nanjing University of Information Science & Technology, Nanjing 210044;College of Mathematics & Physics, Nanjing University of Information Science & Technology, Nanjing 210044;Binjiang College, Nanjing University of Information Science & Technology, Nanjing 210044;College of Mathematics & Physics, Nanjing University of Information Science & Technology, Nanjing 210044;College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002;College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002;School of Mathematical Sciences, Ocean University of China, Qingdao 266100;School of Mathematical Sciences, Ocean University of China, Qingdao 266100;College of Mathematics and Physics, Nanjing University of Information Science & Technology, Nanjing 210044;College of Mathematics and Physics, Nanjing University of Information Science & Technology, Nanjing 210044;College of Mathematics and Physics, Nanjing University of Information Science & Technology, Nanjing 210044;College of Mathematics and Physics, Nanjing University of Information Science & Technology, Nanjing 210044;College of Mathematics Physics, Nanjing University of Information Science & Technology, Nanjing 210044;Applied Mathematics & Physics Department, Anhui Polytechnic University, Wuhu 241000;Applied Mathematics & Physics Department, Anhui Polytechnic University, Wuhu 241000
Abstract:Reasonable planning and optimization of meteorological station networks could improve the representativeness,accuracy and comparability of observation data.This paper summarizes research progress in methods for the planning and optimization of meteorological station networks at home and abroad.It points out the key technology and existing problems in planning and optimization of meteorological station networks.It mainly introduces and analyses linear interpolation method,optimum interpolation method,information theory method,factor analysis method and empirical mode method to plan and optimize the meteorological station networks.This paper also summarizes the feasibility of these methods.According to requirement changes of meteorological service,this paper put forward the suggestions for methods of planning and optimization of meteorological station networks.
Keywords:meteorological station networks  planning and optimization  optimum interpolation
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