摘要
针对四川省的暴雨灾害,为给此后同种类型的暴雨预报提供一定的参考意义,结合大气动力学的Q矢量和湿位涡的诊断方法,利用NECP再分析资料和国家气象自动站降水资料,对2018年7月2日四川省一次暴雨天气过程的进行了分析研究。结果表明:700 hPa Q矢量散度辐合区与暴雨落区位置基本重合,辐合带移动和强度变化与强降水移动和强度变化一致。Q矢量散度高层的辐散气流向南北输送,下沉气流在低层堆积,形成了垂直方向的闭合环流有利于暴雨维持,垂直环流的位置与降水区对应。强降水主要位于在700 hPa湿位涡MPV1、MPV2项的正负值交界处,并且暴雨中心偏向MPV1负值区,对流层低层MPV1<0,MPV2>0的配置可作为降水落区的判断依据。
In view of the heavy rain disaster in Sichuan Province,it will provide a certain relerence significance for the same type of heavy rain forecast thereafter,the diagnosis method combining vector and moist potential vortex in atmos-pheric dynanics,Using NECP reanalysis data and precipitation data from the National MeteorologicalAutomatic Station,a heavy rain weather proces in Sichuan Province on July 2,2018 was analyzed and studied.The results show that the convergence of the 700 hPa vector divergence is basically coincident with the rainstorm area.The movement and in-tensity changes of the convergence zone are basically consistent with the movement and intensity changes of the storm zone.The divergent airflow of the Q vector divergence transferring to the north and south is piled up in the lower layer.Such a positive feedback mechanism is beneficial to the rainstorm maintenance.The position of the vertical circulation corresponds to the precipitation zone.The heavy rain is mainly located at the positive and negative values’intersection of the MPV1 and MPV2 of the 800 hPa moist potential vortex,and the rainstorm center is biased toward the negative val-ue area of MPV1.The configuration of which MPVl<0 and MPV2>0 in the lower troposphere can be used as the ba-sis for judging a rainfall area.
作者
殷―菲
王磊
李谢辉
YIN Fei;WANG Lei;LI Xiehui(College of Atmospheric Sciences,PlateauAtmosphere and Eavironment Key Laboratory of Sichuan Province,Chengdu University of Information Technology,Chengdu 610225,China)
出处
《成都信息工程大学学报》
2020年第4期479-486,共8页
Journal of Chengdu University of Information Technology
基金
国家自然科学基金面上资助项目(41275033)
四川省科技厅软科学研究计划资助项目(2017ZRO043)。
关键词
大气动力学
诊断分析
暴雨
Q矢量
湿位涡
四川
atmospheric dynamics
diagnostic analysis
rainstorm
Q vector
moist potential vortex
Sichuan
