圣帕台风暴雨的非地转湿Q矢量的诊断分析  

Analysis on ageostrophic wet Q vector of the rainstorm caused by typhoon "Sepat"

作　　者：傅灵艳[1] 寿绍文[1] 黄亿[2] 岳彩军[3] 

机构地区：[1]南京信息工程大学气象灾害省部共建教育部重点实验室,南京210044 [2]中国民航华北空管局气象中心,北京100621 [3]中国气象局上海台风研究所,上海200030

出　　处：《气象科学》2009年第6期727-733,共7页Journal of the Meteorological Sciences

基　　金：国家自然科学基金项目(40775033;40875025;4057022;40405009);江苏省气象灾害重点实验室项目(KLME050201);国家重点基础研究发展规划项目(2004CB418301);江苏省自然科学基金项目(BK2005141);上海市自然科学基金项目(08ZR1422900)

摘　　要：利用WRF中尺度模式模拟了台风“圣帕”登陆舌减弱成热带低压造成湖南省大暴雨的过程，使用模拟输出的高分辨率资料，借助非地转湿Q矢量对这次暴雨过程做了详细的诊断分析。结果表明：非地转湿Q矢量能比较清楚地揭示此次暴雨演变过程，尤其700hPa的非地转湿Q矢量散度场对降水预报具有较好的指示意义，其散度辐合区域对应着降水的落区，散度辐合强度变化指示着降水强度的变化趋势，并且非地转湿Q矢量散度辐合强度的大小可预示着未来3～6h降水的强弱，是具有预报价值的；非地转湿Q矢量散度是非地转ω方程的强迫项，并与地形条件共同作用激发了地面中尺唐系统的发展与次级环流的形成．暑此．次暴雨得以发展与维持的机制.Mesoscale model WRF has been used to simulate the course of heavy rainstorm caused by typhoon ＂Sepat＂ being weakened to tropic cyclone after landing in Hunan province, which provides the high resolution output data, detailed diagnostic analysis on the rainstorm is done with method of ageostrophic wet Q vector. It shows that, the ageostrophic wet Q vector can reveal the evolvement of rainstorm clearly, especially at the 700hPa layer it has good direction for precipitation forecast, its convergence area corresponds to precipitation area and its convergence intensity gives guidance for the variation of precipitation intensity, besides its convergence intensity can forecast precipitation in the coming 3 -6 hours; the divergence of ageostrophic wet Q vector was taken as an only forcing term in the whole ω-equation, which motivates development of surface mesoscale system and formation of secondary, circulation accompanied with terrain. Both factors are the mechanism to maintain rainstorm.

关 键 词：台风暴雨 非地转湿Q矢量 诊断分析 次级环流 

分 类 号：P458.124[天文地球—大气科学及气象学]