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Synchronization of Radar Observations with Multi-Scale Storm Tracking

Advances in Atmospheric Sciences 2009年第1期26卷 78-86页

作者：杨洪平 Jian ZHANG carrie langston Wuhan Institute of Heavy Rain China Meteorological Administration Wuhan 430074 Cooperative Institute for Mesoscale Meteorological Studies The University of Oklahoma and NOAA/OAR National Severe Storms Laboratory Norman O.K. U.S.A

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 multi-radar observations is the synchronization of all of the scientific issues associated with the mosaic of 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 assunfing 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.

关键词： synchronization radar multi-scale storm tracking

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Synchronization of Radar Observations with Multi-Scale Storm Tracking

Synchronization of Radar Observations with Multi-Scale Storm...

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2011年海峡两岸气象科学技术研讨会

作者：杨洪平 Jian Zhang carrie langston Cooperative Institute for Mesoscale Meteorological Studies The University of Oklahomaand NOAA/OAR National Severe Storms Laboratory

＜正＞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.The reflectivity data are typically objectively analyzed onto 3-D Cartesian grid prior to being assimilated into the models.Existing multi-radar mosaic techniques usually perform spatial objective analysis of multiple radar data by assuming all the observations are valid at the same time.The assumption holds well for slow evolving precipitation systems.For fast evolving convective storms,this assumption may be violated and the mosaic of different radar volume scans observed at different time may result in inaccurate storm structure depictions.This study investigates synchronization techniques based on motion fields from a multi-scale storm tracking algorithm and their impact on the 3D radar mosaic analyses.

关键词： Synchronization Radar Multi-Scale Storm Tracking 3-D Mosaic

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