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基于图形学的致旱天气系统自动识别技术
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  • 英文篇名:Automatic Recognition Technology of Weather Systems Resulting in Drought Based on Graphics
  • 作者:邵建 ; 胡文东 ; 杨有林 ; 裴晓蓉 ; 郑鹏徽
  • 英文作者:SHAO Jian;HU Wen-dong;YANG You-lin;PEI Xiao-rong;ZHENG Peng-hui;Key Laboratory of Characteristic Agrometeorological Disaster Monitoring and Early Warning and Risk Management in Arid Regions,Chine Meteorological Administration;Ningxia Meteorological Observatory;School of Atmospheric Sciences,Chengdu University of Information Technology;
  • 关键词:天气系统 ; 图形化 ; 自动识别 ; 追踪算法
  • 英文关键词:synoptic scale system;;pattern recognition;;auto-discrimination;;tracking algorithm
  • 中文刊名:GHQJ
  • 英文刊名:Arid Zone Research
  • 机构:中国气象局旱区特色农业气象重点实验室;宁夏气象台;成都信息工程大学大气科学学院;
  • 出版日期:2019-03-25 15:05
  • 出版单位:干旱区研究
  • 年:2019
  • 期:v.36
  • 基金:宁夏回族自治区重点研发项目(2018BEG03002);; 宁夏青年拔尖人才工程(2017);; 四川省科技厅基础应用研究重点项目(2018JY0056)共同资助
  • 语种:中文;
  • 页:GHQJ201903017
  • 页数:6
  • CN:03
  • ISSN:65-1095/X
  • 分类号:139-144
摘要
基于图形学分析技术,采用追踪算法、矢量分析法,利用常规MICAPS数据、NECP逐日再分析资料和EC细网格资料,对我国西北地区致旱天气系统进行识别试验。通过试验,得到如下结论:(1)依据天气学定义,利用追踪算法能够成功识别高空槽、高空脊等主要系统,并可得到其曲率特征;(2)利用该方法识别天气尺度系统,系统中心识别率高达90%以上、平均误差小于0. 5°,而高空槽识别准确率为74%~87%,平均识别误差为0. 7°~1. 4°。利用风场进行订正后,准确度明显提高、误差有所减小,基本可以满足干旱预测、预报业务需求。
        Based on the pattern recognition technique and weather systems which could cause drought were tested with tracking algorithm and vector analysis methods by using MICAPS,NCEP and EC-Thin data. The results showed that:(1) Synoptic scale troughs and ridges could be recognized with tracking algorithm,and their curvature characteristics could also be obtained;(2) By using these methods,the recognition rates of pressure center could be as high as90%,and the mean errors were lower than 0. 5°. However,the recognition rates of troughs varied in a range of74%-87%,and the mean errors in a range of 0. 7°-1. 4°. With revising the wind field,the accuracy was obviously improved,and the errors were reduced to some extent,which could basically meet the needs of predicting drought.
引文
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