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南半球10 hPa极地涡旋的多尺度变化特征分析
引用本文:麻巨慧,王盘兴,郭栋,段明铿,管树轩.南半球10 hPa极地涡旋的多尺度变化特征分析[J].高原气象,2009,28(6):1299-1307.
作者姓名:麻巨慧  王盘兴  郭栋  段明铿  管树轩
作者单位:南京信息工程大学,大气科学学院,江苏,南京,210044
基金项目:国家自然科学基金,江苏省研究生培养创新项目 
摘    要:利用NCEP/NCAR 10 hPa月平均高度场资料, 计算了1948\_2007年南半球10 hPa极地涡旋的强度指数P、 面积指数S和中心位置指数(λc, φc)。用它们分析了南半球10 hPa极地涡旋的季节变化、 年际异常及其可能成因, 分析了10 hPa极地涡旋强度与南极涛动的关系。结果表明: (1) 南半球10 hPa极区12月~1月受反气旋控制, 3~10月受气旋控制, 2月、 11月为环流转换季节。(2) 1(7)月反气旋(气旋)指数P\, S均在1970年代后期发生了显著的跃变; 跃变前反气旋(气旋)由极弱(极强)振荡地增强(减弱)至接近气候均值, 跃变后反气旋由极强振荡趋于气候均值, 气旋在偏弱的状态下振荡。(3) 1月反气旋中心位置存在显著的年代际变化, 而7月气旋中心位置的年际变化明显。(4) 臭氧异常可引起南半球10 hPa 1月极地反气旋年际异常(正相关), 但与7月极地气旋异常无关。(5) 1月、 7月极地涡旋强度指数P与南极涛动指数(AAOI)呈显著的负相关, 可由P来表征AAOI。

关 键 词:10  hPa极地涡旋环流指数  气候态  异常态  臭氧异常  南极涛动

Analysis on 10 hPa Polar Vortex Multi-Scale Variable Characteristic in the Southern Hemisphere
MA Ju-hui,WANG Pan-xing,GUO Dong,DUAN Ming-keng,GUAN Shu-xuan.Analysis on 10 hPa Polar Vortex Multi-Scale Variable Characteristic in the Southern Hemisphere[J].Plateau Meteorology,2009,28(6):1299-1307.
Authors:MA Ju-hui  WANG Pan-xing  GUO Dong  DUAN Ming-keng  GUAN Shu-xuan
Abstract:Using the 1948-2007 NCEP/NCAR reanalysis monthly geopotential dataset,a set of circulation indices are defined to characterize the polar vortex at 10 hPa geopotential height of the Southern Hemisphere,including area-(S),intensity-(P) and centre position-(λ_c,φ_c) indices. The results show that:(1) there is anticyclonic(cyclonic) from December to January (form March to October) around high latitude at 10 hPa. The circulation patterns change in February and November (2) The interannual anomalies of anticyclonic and cyclonic both change notably in the later 1970′s. Before that,the anticyclonic(cyclonic) strengthens(weakens) from weaker(stronger) to climatological normals. After the later 1970′s,the anticyclonic tends to climatological normals gradually,as the cyclonic oscillates in the weak state. (3) Their centre positions also have corresponding change. There are obvious interannual(interdecadal) variations of anticyclonic(cyclonic). (4) The ozone anomaly can cause interannual variations of anticyclonic anomaly in January. (5) There is so notable negative correlation between the index of P and AAOI that P can represent AAOI.
Keywords:Circulation indices of polar vortex at 10 hPa  Climate state  Anomaly state  Ozoneanomaly  Antarctic Oscillation
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