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一种新的梅雨锋上中尺度涡旋识别方法

刘梦娟 杨引明 储海

气象2017,Vol.43Issue(1):11-20,10.
气象2017,Vol.43Issue(1):11-20,10.DOI:10.7519/j.issn.1000-0526.2017.01.002

一种新的梅雨锋上中尺度涡旋识别方法

A New Detection Algorithm of Mesoscale Vortex During Meiyu Period

刘梦娟 1杨引明 1储海1

作者信息

  • 1. 上海中心气象台,上海 200030
  • 折叠

摘要

Abstract

Anstract:The occurrence and development of mesoscale vortices directly influence heavy rainfalls during Meiyu period.Identifying mesoscale vortices accurately helps to improve the prediction of heavy precipita-tion.An obj ective method is proposed to automatically detect the centers of mesoscale vortices from grid-ded wind field in this study.Using global analysis from National Centers for Environmental Prediction (NCEP),USA,two cases during the 2013-2014 Meiyu periods were selected to compare the existing two algorithms which are based on vorticity or height distribution and the new one.The results indicate that since small-scale systems do not obey geostrophic wind relationship,the centers of wind,vortex and low pressure scarcely overlap Meiyu fronts,thus decreasing the accuracy of detection on the basis of vorticity or pressure.However,the new method is based on winds and can precisely identify most vortex centers with a higher precision than the other two algorithms.Then the new method is used to analyze the vertical structure and time evolution of different vortices in the two cases.The analysis shows that the new method does not need any manual intervention,specific level or time restriction.It can identify the position,3-D structure and time evolution of any mesoscale vortex falling in the domain in a very short time.Also,it can be used to detect mesoscale vortices on stationary fronts during Meiyu periods,very helpful for forecasters to do real-time analysis and forecast severe precipitation.

关键词

中尺度涡旋/梅雨锋/自动识别方法

Key words

mesoscale vortex/Meiyu front/automatic detection algorithm

分类

天文与地球科学

引用本文复制引用

刘梦娟,杨引明,储海..一种新的梅雨锋上中尺度涡旋识别方法[J].气象,2017,43(1):11-20,10.

基金项目

国家自然科学基金项目(41475040)和中国气象局预报员专项(CMAYBY2016-023)共同资助 ()

气象

OA北大核心CSCDCSTPCD

1000-0526

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