夏季北极涛动的时空特征

运用NCEP/NCAR SLP再分析月资料,分析研究了北极涛动的季节性差异,着重讨论了夏季北极涛动的时空特征。结果表明,除了强弱的季节差异,夏季北极涛动与冬季北极涛动在空间模态上也存在较大差异,主要表现在夏季北极涛动的中纬度强活动中心从北大西洋地区转移到亚洲大陆上,其亚洲中心只在对流层低层比较明显,强度随高度增加而减小,因而在对流层中呈现出比冬季北极涛动更强的斜压性。这种模态在年际和月际时间尺度上均有所体现。夏季北极涛动在近50年来一直存在稳定的准22年周期,其次为6~7年周期。另外,从1970年左右开始出现准2年周期振荡,而1970年代以前准2年周期不明显。     

河南省气温变化与北极涛动指数的关系研究

利用连续小波变换和交叉小波变换方法,分析了北极涛动指数和河南省近50多年来月平均气温距平序列的时频变化特征以及两者之间的关系。结果表明:河南省气温和北极涛动都存在着不同时间尺度的周期性变化,且各周期分量的强度不同。北极涛动指数具有2-4 a、8 a左右年际尺度和12-25 a、35 a以上年代际尺度的周期振荡;河南气温存在准2 a、4 a、6-8 a、10-20 a、28 a和35 a以上时间尺度的周期性变化。AO振荡过程影响河南省气温变化的时频结构,且主要表现在年代际时间尺度上。     

北极涛动与北太平洋和北大西洋多年代际振荡的关系研究

利用小波变换和小波互相关分析法对1901—2000年的北极涛动（Arctic Oscillation,AO）、北大西洋多年代际振荡（Atlantic Multidecadal Oscillation,AMO）和北太平洋年代际振荡（Pacific Decadal Oscillation,PDO）的年代际振荡关系进行研究,并利用1 000 hPa高度场合成分析进行验证。结果表明,三个气候模态均有明显的多年代际尺度的振荡特征,且它们在各特征时间尺度上的振荡相关性存在显著区别,主要表现为:在60 a尺度上,AO超前PDO约4 a正相关,AO滞后AMO约12 a负相关;在20～30 a尺度上,AO超前PDO约12 a正相关;在30 a尺度上,AO超前AMO约8 a正相关。在60 a尺度上,超前PDO负位相4 a和滞后AMO正位相12 a的高度场合成结果为AO负位相;在20～30 a尺度上,超前PDO正位相12 a和超前AMO正位相8 a的高度场合成结果为AO正位相。合成分析结果进一步验证了三个模态的相关性。      

一个观察北极涛动与北大西洋涛动关系的典型个例

北极涛动与大西洋涛动是否属同一气候变率模态一直是北极涛动动力学研究方面的一个颇具争议的话题。文中通过对"0801南方雪灾"期间及其前后北极涛动与北大西洋涛动异常及产生原因进行个例分析,对两者之间的关系进行了讨论。首先使用交叉子波变换与子波相关方法分析了两者的相位关系。发现在30—60天时间尺度上北极涛动与北大西洋涛动相位相差90°或-90°。而在10 20天这一尺度上北极涛动与北大西洋涛动具有大致相同的相位。对北极涛动及北大西洋涛动形成的动力过程及其在拉尼娜背景下各自特点的分析表明,这种不同尺度上位相关系的差异来自于波-流相互作用动力学的局域性。众所周知,北极涛动的3个活动中心的形成与分别位于北大西洋、北太平洋和北极平流层的3个波流相互作用中心有关。而北大西洋涛动则主要与位于北大西洋的波-流相互作用中心有关。拉尼娜事件的出现通过影响太平洋急流及行星尺度的准定常波从而进一步强化了30-60天时间尺度上北极涛动与北大西洋涛动的这种差异。这主要是因为太平洋急流或准定常行星波在对流层中直接影响了位于该区域的北极涛动的活动中心。同时准定常行星波冬季向上传播至平流层并与平流层极涡相互作用从而也影响了北极涛动在北极的活动中心。而在10—20天时间尺度上的北极涛动与北大西洋涛动同步关系则说明它们都是北极涛动的另一活动中心即大西洋上同一波-流相互作用现象——天气波破碎的反映。基于上述分析.文中倾向于认同将北极涛动和北大西洋涛动区别考虑的观点。     

北大西洋涛动位相转换的数值研究

借助一个非线性准地转正压模型,模拟了基本西风气流的强弱、不同空间分布的天气尺度扰动涡对北大西洋涛动(NAO)位相转换的作用,以及大尺度双波地形对其的影响.通过一系列的对比试验发现,适当弱的基本西风气流有利于下游系统西退使NAO由正(负)位相转换为负(正)位相;振幅强、活动范围大的天气尺度扰动波是NAO由负位相转换为正位...     

南北涛动与南极涛动及北极涛动的相互作用

利用NCEP/NCAR再分析资料,分析了南北涛动（Interhemispheric Oscillation,IHO）与北极涛动（Arctic Oscillation,AO）和南极涛动（Antarctic Oscillation,AAO）的联系。分析表明：1）北极涛动（AO）、南极涛动（AAO）与全年各自半球中高纬度地表气压变化密切联系。其中,AO冬季强度最强,且在春季、冬季的影响范围大。而AAO对南半球中高纬的地表气压变动影响更为明显,其在夏季影响范围最大。2）南极涛动（AAO）与南北涛动（IHO）有很好的同期相关性,南极涛动可部分解释南北涛动的形成。IHO与AO存在不显著的负相关,南北半球中高纬大气运动具有相对独立性。3）南北涛动（IHO）与全球较大范围内的地面气压变化有关,而去除AAO信号后,夏季在南极地区原显著相关区显著减少,夏季AAO与IHO存在密切联系。4）南北涛动（IHO）主要与春季、秋季和冬季亚洲、欧洲北部地面气温关系密切。秋季最强,春季次之,冬季最弱。夏季IHO与全球地面气温没有较好的联系。亚欧大陆北部的热力作用可能部分地解释了南北涛动的形成。     

北极涛动和南极涛动的年变化特征

北极涛动(Arctic Oscillation,简称AO)和南极涛动(Antarctic Oscillation,简称AAO)分别用于描述北半球和南半球热带外气候变率的主要模态,它们分别是北半球和南半球中纬度和高纬度之间气压变化的跷跷板结构.作者利用1958年1月～1999年12月的NCEP/NCAR全球再分析月平均资料、北极涛动指数IAO和南极涛动指数IAAO来研究AO和AAO的年变化特征以及AO和AAO与纬向平均的月平均各要素场的相关系数随纬度和月份的变化规律.     

南极涛动和北半球大气环流异常的联系

使用ECMWF逐日再分析资料分析研究了北半球冬季南极涛动和北半球大气环流异常之间的联系。资料的分析结果表明, 南极涛动和滞后其25～40天位于北大西洋地区的一个弱的类似于北大西洋涛动 (North Atlantic Oscillation, 简称NAO) 的偶极子模态, 以及伴随这一偶极子模态而出现的北半球中纬度纬向风异常之间存在着统计上的联系。处于正 (负) 位相的南极涛动对应着滞后25～40天后, 北大西洋高纬极区出现位势高度负 (正) 异常, 副热带大西洋出现位势高度正 (负) 异常; 同时, 在北半球中高纬度地区(45°N～65°N) 出现西 (东) 风异常, 中低纬度地区(25°N～40°N)出现东 (西) 风异常。文中也对资料分析结果进行了简单的动力学分析, 表明与南极涛动相联系的涡动动量异常是驱动北半球纬向平均纬向风异常的主要原因。     

北极涛动对河南省降水的可能影响

采用连续小波变换和交叉小波变换方法,分析了北极涛动指数和河南省月降水距平序列的时频变化特征,并讨论了近50多年来北极涛动对河南省降水的可能影响。结果表明,北极涛动指数和河南省降水距平序列中都存在着不同时间尺度的周期振荡,且时域中的分布特征和振荡强度也不尽相同;两者之间在6~8 a、12~16 a和25 a以上尺度的周期振荡呈正相关,而在9~11 a和16~24 a尺度上表现为负相关关系。     

我国西北地区气候变化与北极涛动的交叉小波分析

运用交叉小波方法分析了近56 a来我国西北地区气候变化与北极涛动指数（AOI）、欧亚纬向环流指数之间的联系,讨论了西北地区冬季气温和夏季降水变化与同期AOI之间的多时间尺度相关。结果表明,AOI、西北地区降水和气温变化都存在着不同尺度的周期振荡,西北地区降水与AOI之间存在准3 a尺度的显著共振周期,而AOI与西北地区气温变化的多时间尺度相关表现为准2a、3-5 a和8-11 a左右的显著相关振荡且以8-11 a共振周期的凝聚性最强;AO对西北地区气温变化的影响比对降水的影响更显著,与其年代际尺度的相互作用有关。当冬季北极涛动处于正相位时,欧亚纬向环流偏强,西北地区冬季气温偏高。夏季西北地区降水变化与前期北极涛动指数异常密切相关,这对于西北地区夏季降水变化预测具有重要的参考意义。     

Interannual Variations of the Blocking High over the Ural Mountains and Its Association with the AO/NAO in Boreal Winter

This paper analyzes interannual variations of the blocking high over the Ural Mountains in the boreal winter and their association with the Arctic Oscillation/North Atlantic Oscillation (AO/NAO).In Jan...     

Arctic Oscillation and Antarctic Oscillation in Internal Atmospheric Variability with an Ensemble AGCM Simulation

In this study, we investigated the features of Arctic Oscillation （AO） and Antarctic Oscillation （AAO）, that is, the annular modes in the extratropics, in the internal atmospheric variability attained through an ensemble of integrations by an atmospheric general circulation model （AGCM） forced with the global observed SSTs. We focused on the interannual variability of AO/AAO, which is dominated by internal atmospheric variability. In comparison with previous observed results, the AO/AAO in internal atmospheric variability bear some similar characteristics, but exhibit a much clearer spatial structure： significant correlation between the North Pacific and North Atlantic centers of action, much stronger and more significant associated precipitation anomalies, and the meridional displacement of upper-tropospheric westerly jet streams in the Northern/Southern Hemisphere. In addition, we examined the relationship between the North Atlantic Oscillation （NAO）/AO and East Asian winter monsoon （EAWM）. It has been shown that in the internal atmospheric variability, the EAWM variation is significantly related to the NAO through upper-tropospheric atmospheric teleconnection patterns.     

Teleconnections of Inter-Annual Streamflow Fluctuation in Slovakia with Arctic Oscillation, North Atlantic Oscillation, Southern Oscillation, and Quasi-Biennial Oscillation Phenomena

The aim of the paper is to analyze a possible teleconnection of Quasi-Biennial Oscillation （QBO）, Southern Oscillation （SO）, North Atlantic Oscillation （NAO）, and Arctic Oscillation （AO） phenomena with longterm streamflow fluctuation of the Bela River （1895-2004） and Cierny Hron River （1931-2004） （central Slovakia）. Homogeneity, long-term trends, as well as inter-annual dry and wet cycles were analyzed for the entire 1895-2004 time series of the Bela River and for the 1931-2004 time series of the Cierny Hron River. Inter-annual fluctuation of the wet and dry periods was identified using spectral analysis. The most significant period is that of 3.6 years. Other significant periods are those of 2.35 years, 13.5 years, and 21 years. Since these periods were found in other rivers of the world, as well as in SO, NAO, and AO phenomena, they can be considered as relating to the general regularity of the Earth.     

The North Atlantic oscillation simulated by versions 2 and 4 of IAP/ LASG GOALS Model

The capabilities of two versions of the Global-Ocean-Atmosphere-Land-System model (i.e. GOALS-2 and GOALS-4) developed at State Key Laboratory of Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), are validated in terms of the simulations of the winter North Atlantic Oscillation (NAO), which is currently the subject of considerable scientific interest. The results show that both GOALS-2 and GOALS-4 exhibit a realistic NAO signal associated with relatively reasonable spatial pat-terns of sea level pressure, surface air temperature, and precipitation. Generally speaking, the associated pat-terns of precipitation in GOALSs match better with the observation in comparison with the case of surface temperature. For the imprint of NAO on the ocean, or perhaps a coupling between the two fluids, the asso-ciated tripole patterns of the North Atlantic SST anomaly are presented distinctly in GOALS-2, for GOALS-4 however, this is not the case. Spatially, the models’ main deficiencies appear to be that the simu-lated Icelandic lows shift northward apparently, which in turn result in the blemish of GOALSs in repro-ducing the accompanied surface wind anomalies. For the interannual and even longer time scale variations of DJF sea level pressure (SLP) over the North Atlantic region. GOALSs reproduce the center with the strongest variability rationally, but the intensities are far weaker than the observation.     

The NPO/ NAO and interdecadal climate variation in China

This article discusses the interannual variation of the North Atlantic Oscillation (NAO) and North Pacific Oscillation (NPO), its relationship with the interdecadal climate variation in China which is associated with the climate jump in the Northern Hemisphere in the 1960’s, using the data analyses. It is clearly shown that both the amplitudes of the NAO and NPO increase obviously in the 1960’s and the main period of the oscillations changes from 3-4 years before the 1960’s to 8-15 years after the 1960’s. Therefore, interdecadal climate variation in China or the climate jump in the 1960’s is closely related to the anomalies of the NAO and NPO.     

The North Atlantic Oscillation and oceanic precipitation variability

Global North Atlantic Oscillation (NAO) oceanic precipitation features in the latter half of the twentieth century are documented based on the intercomparison of multiple state-of-the-art precipitation datasets and the analysis of the NAO atmospheric circulation and SST anomalies. Most prominent precipitation anomalies occur over the ocean in the North Atlantic, where in winter a “quadrupole-like” pattern is found with centers in the western tropical Atlantic, sub-tropical Atlantic, high-latitude eastern Atlantic and over the Labrador Sea. The extent of the sub-tropical and high-latitude center and the amount of explained variance (over 50%) are quite remarkable. However, the tropical Atlantic center is probably the most intriguing feature of this pattern apparently linking the NAO with ITCZ variability. In summer, the pattern is “tripole-like” with centers in the eastern Mediterranean Sea, the North Sea/Baltic Sea and in the sub-polar Atlantic. In the eastern Indian Ocean, the correlation is positive in winter and negative in summer, with some link to ENSO variability. The sensitivity of these patterns to the choice of the NAO index is minor in winter while quite important in summer. Interannual NAO precipitation anomalies have driven similar fresh water variations in these “key” regions. In the sub-tropical and high-latitude Atlantic in winter precipitation anomalies have been roughly 15 and 10% of climatology per unit change of the NAO, respectively. Decadal changes of the NAO during the last 50 years have also influenced precipitation and fresh water flux at these time-scales, with values lower (higher) than usual in the high-latitude eastern North Atlantic (Labrador Sea) in the 1960s and the late 1970s, and an opposite situation since the early 1980s; in summer the North Sea/Baltic region has been drier than usual during the period 1965–1975 when the NAO was generally positive.     

The Role of the Solar Cycle in the Relationship Between the North Atlantic Oscillation and Northern Hemisphere Surface Temperatures

The North Atlantic Oscillation （NAO） is one of the leading modes of climate variability in the Northern Hemisphere. It has been shown that it clearly relates to changes in meteorological variables, such as surface temperature, at hemispherical scales. However, recent studies have revealed that the NAO spatial pattern also depends upon solar forcing. Therefore, its effects on meteorological variables must vary depending upon this factor. Moreover, it could be that the Sun affects climate through variability patterns, a hypothesis that is the focus of this study. We find that the relationship between the NAO/AO and hemispheric temperature varies depending upon solar activity. The results show a positive significant correlation only when solar activity is high. Also, the results support the idea that solar activity influences tropospheric climate fluctuations in the Northern Hemisphere via the fluctuations of the stratospheric polar vortex .     

A new North Atlantic Oscillation index and its variability

A new North Atlantic Oscillation (NAO) index, the NAOI, is defined as the differences of normalized sea level pressures regionally zonal-averaged over a broad range of longitudes 80°W-30°E. A comprehensive comparison of six NAO indices indicates that the new NAOI provides a more faithful representation of the spatial-temporal variability associated with the NAO on all timescales. A very high signal-to-noise ratio for the NAOI exists for all seasons, and the life cycle represented by the NAOI describes well the seasonal migration for action centers of the NAO. The NAOI captures a larger fraction of the variance of sea level pressure over the North Atlantic sector (20°-90°N, 80°W-30°E), on average 10% more than any other NAO index. There are quite different relationships between the NAOI and surface air temperature during winter and summer. A novel feature, however, is that the NAOI is significantly negative correlated with surface air temperature over the North Atlantic Ocean between 10°-25°N and