The characteristics of the southwest vortexes are analyzed under the condition of the presence or absence of typhoons by using the 700 hPa and 850 hPa synoptic maps at 08:00 and 20:00 (Beijing time, the same after)provided by the China Meteorological Administration (CMA) and the daily four times ERA-INTERIM reanalysis data with 0.75°×0.75°spatial resolution provided by the European Centre for Medium-Range Weather Forecasts (The European Centre for Medium-Range Weather Forecasts). The generated numbers, moving paths, life periods and precipitating impacts are analyzed based on the 149 southwest vortexes that generated from June to August between 2010 and 2017, and the characteristics of the southwest vortexes with the presence or absence of typhoons are also analyzed. The results show that the annual variation of the southwest vortex generating frequency with the presence or absence of typhoons is small, but the year with greater generating frequency difference like 2017 exists. Generally, the southwest vortexes mainly occurred in June and the vortexes impacted by typhoons are mostly generated in August. According to the characteristics of the moving paths, the southwest vortexes can be categorized into the local type and the moving types, and the moving types are further classified into the eastward moving type, the northeastward moving type and the southeastward moving type. Among them, the eastward moving type counts the most while the southeastward moving type occurs the least. The differences of the annual variation among the three moving southwest vortex types are small under the condition of the existence of typhoon and the intensity difference is less than that under the condition of the absence of typhoons. The local southwest vortex type is very different in annual variation under the condition of the presence or absence of typhoon, and the monthly variations of the four vortex types are various whether typhoons exist or not. The numbers of the southwest vortexes with different life periods decreased with longer maintaining time. The southwest vortexes always produce plenty of rainfall and the intensities of the precipitation produced by the moving southwest vortexes are greater when typhoons exist.
[1]Jiang Y Q, Wang Y, 2012. Numerical simulation on the formation of mesoscale vortex in col field[J]. Journal of Meteorological Research, 26(1):112-128.
[2]Zuki Z M, Lupo A R, 2008. Interannual variability of tropical cyclone activity in the southern South China Sea[J]. Journal of Geophysical Research Atmospheres, 113:D06106. DOI:10.1029/2007JD009218.
[3]陈启智, 黄奕武, 王其伟, 等, 2007. 1990-2004年西南低涡活动的统计研究[J].南京大学学报(自然科学), 43(6):633-642. DOI:10.3321/j. issn:0469-5097.2007.06.008.
[4]陈玉林, 周军, 马奋华, 2005.登陆我国台风研究概述[J].气象科学, 25(3):319-329. DOI:10.3969/2012j. issn:1009-0827.
[5]陈忠明, 闵文彬, 1999.西南低涡活动的统计研究[M].第二次青藏高原大气科学试验理论研究进展(二).北京: 气象出版社, 368-378.
[6]陈忠明, 黄福均, 何光碧, 2002.热带气旋与西南低涡相互作用的个例研究Ⅰ.诊断分析[J].大气科学, 26(3):352-360. DOI:10.3878/j.issn.1006-9895.2002.03.06.
[7]陈忠明, 闵文彬, 崔春光, 2004a.西南低涡研究的一些新进展[J].高原气象, 23(增刊):1-5.
[8]陈忠明, 闵文彬, 缪强, 等, 2004b.高原涡与西南涡耦合作用的个例诊断[J].高原气象, 23(1):76-80.
[9]谌贵珣, 何光碧, 2008. 2000-2007年西南低涡活动的观测事实分析[J].高原山地气象研究, 28(4):59-65.
[10]高正旭, 王晓玲, 李维京, 2009.西南低涡的统计特征及其对湖北降水的影响[J].暴雨灾害, 28(4):302-305.
[11]郝丽萍, 周瑾, 康岚, 2016.西南涡暴雨天气过程分析和数值模拟试验[J].高原气象, 35(5):1182-1190. DOI:10.7522/j.issn.1000-0534.2015.00046.
[12]何光碧, 2012.西南低涡研究综述[J].气象, 38(2):155-163. DOI:10.7519/j.issn.1000-0526.2012.2.003.
[13]康岚, 郝丽萍, 罗玲, 等, 2013. 1002号台风对四川盆地大暴雨的影响分析[J].热带气象学报, 29(1):169-176. DOI:10.3969/j.issn.1004-4965.2013.01.022.
[14]康岚, 郝丽萍, 牛俊丽, 2011.引发暴雨的西南低涡特征分析[J].高原气象, 30(6):1435-1443.
[15]李超, 李跃清, 蒋兴文, 2015.四川盆地低涡的月际变化及其日降水分布统计特征[J].大气科学, 39(6):1191-1203. DOI:10.3878/j.issn.1006-9895.1502.14270.
[16]李超, 李跃清, 蒋兴文, 2017.夏季长生命史盆地低涡活动对川渝地区季节降水的影响[J].高原气象, 36(3):685-696. DOI:10.7522/j.issn.1000-0534.2016.00064.
[17]李云川, 张迎新, 马翠平, 等, 2012.热带低压远距离对西南涡稳定加强的作用[J].高原气象, 31(6):1551-1561.
[18]梁红丽, 段旭, 符睿, 等, 2012.影响云南的西南低涡统计特征[J].高原气象, 31(4):1066-1073.
[19]刘国忠, 丁治英, 贾显锋, 等, 2007.影响华南地区西南低涡及致洪低涡活动的统计研究[J].气象, 33(1):45-50. DOI:10.3969/j.issn.1000-0526.2007.01.007.
[20]刘红武, 李国平, 2008.近三十年西南低涡研究的回顾与展望[J].高原山地气象研究, 28(2):68-71. DOI:10.3969/j.issn.1674-2184.2008.02.012.
[21]刘祥, 王黎娟, 陈爽, 2017.影响华南地区西南低涡的频数及移动特征分析[J].热带气象学报, 33(2):250-258. DOI:10.16032/j.issn.1004-4965.2017.02.011.
[22]卢敬华, 1986.西南涡概论[M].北京:气象出版社, 276.
[23]卢萍, 李跃清, 郑伟鹏, 等. 2014.影响华南持续性强降水的西南涡分析和数值模拟[J].高原气象, 33(6):1457-1467. DOI:10.7522/j.issn.1000-0534.2013.00137.
[24]邱静雅, 李国平, 郝丽萍, 2015.高原涡与西南涡相互作用引发四川暴雨的位涡诊断[J].高原气象, 34(6):1556-1565. DOI:10.7522/j.issn.1000-0534.2014.00117.
[25]陶诗言, 1980.中国之暴雨[M].北京:科学出版社, 139-144.
[26]王金虎, 李栋梁, 王颖, 2015.西南低涡活动特征的再分析[J].气象科学, 35(2):133-139.
[27]王小玲, 王咏梅, 任福民, 等, 2006.影响中国的台风频数年代际变化趋势:1951-2004年[J].气候变化研究进展, 3(增刊):41-44.
[28]王作述, 汪迎辉, 梁益国, 1996.一次西南低涡暴雨的数值试验研究[M].暴雨科学、业务试验和天气动力理论的研究.北京: 气象出版社, 257-267.
[29]郁淑华, 高文良, 肖玉华, 2008.冷空气对两例高原低涡移出高原影响的分析[J].高原气象, 27(1):96-103.
[30]翟丹华, 刘德, 李强, 等, 2014.引发重庆中西部暴雨的西南低涡特征分析[J].高原气象, 33(1):140-147. DOI:10.7522/j.issn.1000-0534.2012.00181.
[31]郑峰, 曾智华, 雷小途, 等, 2016.中国近海突然增强台风统计分析[J].高原气象, 35(1):198-210. DOI:10.7522/j.issn.1000-0534.2014.00148.
[32]周国兵, 沈桐立, 韩余, 2006.台风对西南低涡影响的数值模拟与诊断个例分析[J].气象科学, 26 (6):620-626.
