气象Issue(6)：706-714,9.DOI:10.7519/j.issn.1000-0526.2014.06.007
卫星水汽图像上两次暴雨过程的干、湿特征对比分析
Comparative Analysis of Two Severe Rainfall Events with Different Dry-Moist Characteristics on Satellite Water Vapor Imagery
摘要
Abstract
Two severe rainfall processes happened in the south of the lower reaches of the Yangtze River and South China in July 2010 and June 2011,respectively,which were caused by the Meiyu front and mon-soon trough separately.Conventional observation data,NCAR/NCEP reanalysis data and satellite water vapor imageries are used to analyze the two severe rainfall events.The results show that the two cases have something in common,but also some differences.The water vapor imagery shows that both of the two cases have the water vapor band.The rainstorm cloud clusters all occur in the water vapor bands no matter how the water vapor patterns change.A highθse tongue (θse≥350 K)at 850 hPa maintains within and in parallel to the direction of the water vapor band during the two heavy rainfall periods.In the former case,the dark area on the north border of the water vapor band is corresponding to an updraft belt at 700 hPa,a divergence area and a negative vorticity area at 200 hPa.The strong convective clouds are near-ly coincided with the center of the upward motion at low-level and the convergence center in high-level. However,in the latter case,there are no such evident characteristics.The analysis on potential vorticity (PV)indicates that the dark areas are corresponding to high band of PV in the upper troposphere while the <br> water vapor band is corresponding to low band of PV in the later case.As to the former case,the corre-spondence of high band of PV and dark areas is not as evident as in the later case.The similarities and differences of dry and moist characteristics on the satellite water vapor images are closely related to the dif-ferent large-scale ambients.关键词
水汽图像/水汽带/暗区/对比分析Key words
water vapor imagery/water vapor band/dark areas/comparative analysis分类
天文与地球科学引用本文复制引用
蒋建莹,汪悦国..卫星水汽图像上两次暴雨过程的干、湿特征对比分析[J].气象,2014,(6):706-714,9.基金项目
国家自然科学基金项目（41105028）资助 （）
