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Synchronization of Radar Observations with Multi-Scale Storm Tracking

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【作者】 杨洪平Carrie LANGSTON

【Author】 YANG Hongping1,Jian ZHANG2,and Carrie LANGSTON2 1Wuhan Institute of Heavy Rain,China Meteorological Administration,Wuhan 430074 2Cooperative Institute for Mesoscale Meteorological Studies,The University of Oklahoma,and NOAA/OAR National Severe Storms Laboratory,Norman,O.K.,U.S.A

【机构】 Wuhan Institute of Heavy Rain China Meteorological Administration,Wuhan 430074Cooperative Institute for Mesoscale Meteorological Studies,The University of Oklahomaand NOAA/OAR National Severe Storms Laboratory,Norman, ,OK,, USA

【摘要】 The 3-D radar reflectivity data has become increasingly important for use in data assimilation towards convective scale numerical weather prediction as well as next generation precipitation estimation.Typically,reflectivity data from multiple radars are objectively analyzed and mosaiced onto a regional 3-D Cartesian grid prior to being assimilated into the models.One of the scientific issues associated with the mosaic of multi-radar observations is the synchronization of all the observations.Since radar data is usually rapidly updated(~every 5-10 min),it is common in current multi-radar mosaic techniques to combine multiple radar’ observations within a time window by assuming that the storms are steady within the window.The assumption holds well for slow evolving precipitation systems,but for fast evolving convective storms,this assumption may be violated and the mosaic of radar observations at different times may result in inaccurate storm structure depictions.This study investigates the impact of synchronization on storm structures in multiple radar data analyses using a multi-scale storm tracking algorithm.

【Abstract】 The 3-D radar reflectivity data has become increasingly important for use in data assimilation towards convective scale numerical weather prediction as well as next generation precipitation estimation.Typically,reflectivity data from multiple radars are objectively analyzed and mosaiced onto a regional 3-D Cartesian grid prior to being assimilated into the models.One of the scientific issues associated with the mosaic of multi-radar observations is the synchronization of all the observations.Since radar data is usually rapidly updated(~every 5-10 min),it is common in current multi-radar mosaic techniques to combine multiple radar’ observations within a time window by assuming that the storms are steady within the window.The assumption holds well for slow evolving precipitation systems,but for fast evolving convective storms,this assumption may be violated and the mosaic of radar observations at different times may result in inaccurate storm structure depictions.This study investigates the impact of synchronization on storm structures in multiple radar data analyses using a multi-scale storm tracking algorithm.

【基金】 Major funding for this research was provided under the United States Federal Aviation Administration (FAA) Aviation Weather Research Program Advanced Weather Radar Technologies Prod-uct Development Team Memorandum Of Understanding(MOU);partial funding was provided under NOAA-University of Oklahoma Cooperative Agreement Grant No. NA17RJ1227, U.S. Department of Commerce
  • 【文献出处】 Advances in Atmospheric Sciences ,大气科学进展(英文版) , 编辑部邮箱 ,2009年01期
  • 【分类号】P415.2
  • 【被引频次】1
  • 【下载频次】39
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