首页 | 本学科首页   官方微博 | 高级检索  
     检索      

东亚气温前冬与后冬反相的变化特征及可能影响因子
引用本文:祁莉,泮琬楠.东亚气温前冬与后冬反相的变化特征及可能影响因子[J].大气科学,2021,45(5):1039-1056.
作者姓名:祁莉  泮琬楠
作者单位:南京信息工程大学气象灾害教育部重点实验室/气候与环境变化国际合作联合实验室/气象灾害预报预警与评估协同创新中心,南京 210044
基金项目:国家重点研发计划项目2018YFC1506002
摘    要:东亚冬季气温除了季节平均外,其显著的季内起伏也对国民生活及经济活动有着深远影响。本文利用1959~2018年台站及再分析资料,使用S-EOF(Season-reliant Empirical Orthogonal Function)方法提取东亚冬季气温季内起伏的主要年际变化模态,其主要模态表现为前冬暖(冷)、后冬冷(暖),即为前、后冬反相,其方差贡献达到31.1%。这种前后冬反相的特征并非局地现象,在北半球大尺度均存在。环流场上它表现为欧亚遥相关型波列(Eurasian teleconnection, EU)从前冬12月的负位相(正位相)向后冬2月正位相(负位相)的转变,相伴随的是低层西伯利亚高压与阿留申低压的强度在前、后冬转折,高层副热带急流的变化也与之匹配。分析发现,欧亚遥相关型的季内转向可能与北大西洋涛动(North Atlantic oscillation, NAO)在前冬12月与后冬2月的转向有关,后者通过北大西洋热通量作用进而影响下游EU波列的转向。此外,宽窄厄尔尼诺—南方涛动(El Ni?o–Southern Oscillation, ENSO)事件也有一定贡献,当厄尔尼诺(El Ni?o)发生时,经向上更宽(窄)的海温异常利于前冬气温偏高(低)向后冬气温偏低(高)的转向;而当拉尼娜(La Ni?a)事件发生时,情况与厄尔尼诺年相反。

关 键 词:冬季气温    季内起伏    欧亚遥相关型    湍流热通量    ENSO经向宽度
收稿时间:2020-07-16

Variability of the Phase Reversal of the East Asia Temperature from Early to Late Winter and the Possible Influencing Factors
QI Li,PAN Wannan.Variability of the Phase Reversal of the East Asia Temperature from Early to Late Winter and the Possible Influencing Factors[J].Chinese Journal of Atmospheric Sciences,2021,45(5):1039-1056.
Authors:QI Li  PAN Wannan
Institution:Key Laboratory of Meteorological Disaster of Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044
Abstract:Besides the winter mean temperature, the conspicuous intraseasonal oscillation of East Asia winter air temperature (EAT) also exerts a large influence on human activities and the economy. Based on the station data and the reanalysis data during the period of 1959–2018, the intraseasonal spatiotemporal variability of East Asian winter temperature was analyzed by using the method of season-reliant Empirical Orthogonal Function (S-EOF). The results show that the spatiotemporal variability of EAT is mainly characterized by the intraseasonal phase inversion variation pattern, which means warmer (colder) than normal in early winter and colder (warmer) in late winter. This mode accounts for 31.1% of the temperature variance. It is not a local phenomenon, but instead represents the intraseasonal winter temperature over the entire Asian continent. The circulation evolution of this mode is mainly characterized by the phase inversion of the Eurasian teleconnection pattern (EU) from a positive (negative) phase in early winter (December) to a negative (positive) phase in late winter (February), accompanied by the turning of lower Siberian high and Aleutian low intensity, and the intraseasonal evolution of the subtropical jet. The possible influencing factors which affect the EU phase reversal are as following: First, the circulation over the North Atlantic reverses between early winter and later winter and influences the EU through the North Atlantic heat flux. Second, wide and narrow sea surface temperature (SST) anomalies resulted from ENSO events also contribute to the reversal. In El Ni?o years, the events of wider (narrower) SST anomalies are more likely to inverse from the phase of warmer (colder) temperature in early winter to colder (warmer) temperature in late winter. When La Ni?a events occur, the influence is opposite.
Keywords:
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《大气科学》浏览原始摘要信息
点击此处可从《大气科学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号