孙晓晴,金荣花,肖天贵,杨宁,魏薇. 2020. 江淮梅雨季节亚洲阻塞高压活动统计特征[J]. 气象学报, (0):-, doi:10.11676/qxxb2020.043
江淮梅雨季节亚洲阻塞高压活动统计特征
Statistical characteristics of blocking activity in Aisa during the Yangtze-Huaihe Meiyu season
投稿时间:2019-06-10  修订日期:2019-08-30
DOI:10.11676/qxxb2020.043
中文关键词:  阻塞高压,江淮梅雨季节,统计特征,梅雨异常年
英文关键词:Blocking highs, Yangtze-Huaihe Meiyu season, Statistical features, Meiyu abnormal year
基金项目:国家自然科学基金
作者单位E-mail
孙晓晴 成都信息工程大学 815151638@qq.com 
金荣花 国家气象中心 E-mail:jinrh@cma.gov.cn 
肖天贵 成都信息工程大学 xiaotiangui@cuit.edu.cn 
杨宁 成都信息工程大学 543300341@qq.com 
魏薇 成都信息工程大学 827560691@qq.com 
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中文摘要:
      [资料和方法]此文利用1960—2018年6—7月NCEP/NCAR逐日再分析资料和同期中国国家站日降水量资料,[目的]对江淮梅雨季节亚洲地区阻塞高压活动地理分布、关键区阻塞高压事件活动频次、生命周期以及年际和年代际变化,及其与江淮梅雨异常之间关系进行了系统的分析。[结果][结论]结果表明:(1)近59年江淮梅雨季节(6—7月),亚洲阻塞高压事件共计363次,其中心主要分布在乌拉尔山区域(40—80°E)、贝加尔湖区域(80—120°E)和鄂霍茨克海区域(120—160°E)三个关键区。(2)三个关键区阻塞高压事件的次数和累积日数由高到低依次为:鄂霍茨克海、乌拉尔山区域和贝加尔湖区域。双阻形势以乌拉尔山—鄂霍茨克海双阻居多,约占亚洲地区双阻日数的60%。阻塞事件的平均生命周期7天左右,最长维持时间为13天。(3)三个关键区总的及分区的阻塞次数和日数都有明显的年际变化,并呈增加的趋势,其中线性增加趋势最为明显的是鄂霍茨克海区域,与近59年江淮梅雨季节的累积雨量增加趋势一致。(4)江淮梅雨季节降雨量多寡与阻塞高压活动密切相关,梅雨正(负)异常年鄂霍茨克海区域、乌-鄂双阻日数和次数显著偏多(偏少),而乌拉尔山和贝加尔湖区域的阻塞高压事件与梅雨关系并不显著。(5)江淮梅雨季节,鄂霍茨克海阻高的日数多寡可能与前期海面温度异常信号ENSO有关。
英文摘要:
      In this paper, the NCEP/NCAR daily analysis data from June and July of 1960—2018 and the daily precipitation data of China''s national stations in the same period are used to analyze the geographical distribution of blocking activities in Asia, the characteristics of blocking events in key areas, and the relationship between blockings and abnormal Meiyu during the Yangtze-Huaihe Meiyu season. The results show that: (1) in the Yangtze-Huaihe Meiyu season (June—July) of last 59 years, there are a total of 363 blocking events in Asia, and the centers are mainly distributed in the three key areas of Ural Mts (40—80°E), Baikal (80—120°E) and Okhotsk Sea (120—160°E). (2) The frequency and days of blocking events in the three key areas are from high to low: the Okhotsk Sea, Ural Mts and Baikal. The double-blocking situation is dominated by the Ural Mountains-Okhotsk Sea, which accounts for 60% of the double-blocking days in Asia. The average life cycle of the blocking event is about 7 days, and the longest holding time is 13 days. (3) There are obvious interdecadal changes in the blocking frequency and days in the three key blocking areas, and there is a increase trend, which is more obvious in the Okhotsk Sea. It is consistent with increase trend of the cumulative rainfall in the Yangtze-Huaihe Meiyu season of the past 59 years. (4) The amount of rainfall in the Yangtze-Huaihe Meiyu season is closely related to blocking activity, there are significantly more (less) blocking events in the Okhotsk Sea and Ural-Okhotsk in Meiyu positive (negative) abnormal years, while the blocking events in the Ural and Baikal regions are not significantly related to Meiyu. (5) In the Yangtze-Huaihe Meiyu season, the number of blocking days in the Okhotsk may be related to the early sea surface temperature anomaly signal ENSO.
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