太阳活动变化对东亚冬季气候的非对称影响及可能机制

基于1959～2013年的观测和再分析资料以及10.7 cm(2800 MHz)太阳射电通量资料, 本文分析了太阳活动变化与东亚冬季气候的相关关系, 分析结果表明:太阳活动变化与东亚冬季大气环流有较好的相关性, 且在太阳活动的强、弱时期该相关关系存在很大差异, 在强太阳活动时期太阳活动变化与东亚冬季气候的联系更为显著, 而在弱太阳活动时期二者之间的直接联系微弱, 这表明太阳活动变化对东亚冬季气候的影响具有非对称性特征。在太阳活动较强的时期, 随着太阳活动的增强, 东亚中高纬对流层中层的大气环流倾向纬向型, 东亚大槽减弱, 850 hPa出现异常偏南风, 地面上西伯利亚高压以及冬季风减弱, 东亚大部分地区气温显著偏高;而在太阳活动较弱的时期, 太阳活动的年际差异与东亚冬季大气环流之间几乎不存在显著联系。分析太阳活动较强和较弱时期纬向平均纬向风的差异发现, 其间平流层行星波活动、热带西北太平洋海表温度的差异可能是造成这种非对称影响的重要原因。在强太阳活动时期, 平流层行星波在太阳活动的异常增强年有异常的从极地向赤道的水平传播, 高纬地区E-P通量(Eliassen-Palm flux)异常辐散, 导致中高纬西风及北极涛动(AO)增强, 同时热带西北太平洋海温异常偏冷, 海陆热力差异缩小, 大气环流经向度减弱, 东亚冬季风偏弱。     

20世纪90年代末东亚冬季风年代际变化的外强迫因子分析

使用NCEP/NCAR、英国气象局哈德莱中心(Met Office Hadley Center)Had ISST以及NOAA提供的再分析资料分析了海温、海冰及雪盖异常对20世纪90年代末我国冬季气温和东亚冬季风(EAWM)年代际跃变的外部强迫作用,同时也对比分析了20世纪90年代EAWM年代际跃变与20世纪80年代EAWM年代际跃变特征和成因的一些差异。结果表明:20世纪80年代中期EAWM的年代际变化特征主要表现为全国一致偏冷型,同时中国近海的海温也偏低;该年代际变化的主要原因来自大气内部动力过程,而海温和海冰的作用不显著。20世纪90年代末EAWM年代际变化的特征表现为东亚北方气温显著偏冷而南方偏暖的南北反相变化分布;EAWM在20世纪90年代末的年代际变化受北大西洋海温和热带太平洋海温的共同影响。北大西洋显著的异常暖海温,激发一个向下游传播的波列,使得西伯利亚高压加强,EAWM加强,从而导致我国北方气温下降;同时,秋冬季北极海冰异常偏少和秋季欧亚雪盖偏多对东亚冬季风的增强也有一定的作用。此外,热带西太平洋的暖海温异常会导致在海洋性大陆地区有异常的辐合和对流增强,引起大气环流的Gill型响应,对流西侧的异常气旋在孟加拉湾至我国西南地区出现南风异常,使得东亚南部地区温度偏高。因此,20世纪90年代末之后东亚温度呈现南暖北冷的分布特征。     

一个反映中国大陆冬季气温变化的东亚冬季风指数的统计预测方法

利用中国160个站逐月温度、NCEP再分析和NOAA-CIRES20世纪再分析等资料, 采用统计分析方法, 就反映中国 东部大陆冬季一致性气温变化模态的能力方面, 对多种东亚冬季风指数进行了评估, 探讨了影响东亚冬季风强弱的主要前期因子及其相应的影响过程, 并据此建立了一个预测冬季风指数的预测模型。研究结果表明:1981 年前、后两个阶段, 朱艳峰 2008年定义的东亚冬季风指数都可以很好地反映中国东部大部分地区的冬季气温异常;北美大陆西侧北太平洋中纬度地区 (35°-50°N,145°-130°W)的前期秋季(9-10月)海温、北极喀拉海地区(75°-82°N,65°-85°E)的前秋海冰密集度和东亚中 纬度地区(30°-50°N,80°-140°E)的前秋高空(300-200hPa)温度异常都具有较强的持续性, 异常信号可从前秋一直持续到 冬季, 进而影响东亚冬季风的强度;根据上述3个前期因子建立了东亚冬季风统计预测模型, 评估发现该模型具有较强的预测 能力, 可用于冬季风强度以及相应的中国东部大陆冬季气温的定性预测。     

Combined effect of the East Atlantic/West Russia and Western Pacific teleconnections on the East Asian winter monsoon

This study investigates the individual effects of the East Atlantic/West Russia (EATL/WRUS) and Western Pacific (WP) teleconnection patterns and their combined effect on the East Asian winter monsoon (EAWM). The contributions of the respective EATL/WRUS and WP teleconnection patterns to the EAWM are revealed by removing the dependence on the Arctic Oscillation (AO) and the El Niño-Southern Oscillation (ENSO) using a linear regression, which are named as N_EATL/WRUS and N_WP, respectively. This is because the EATL/WRUS (WP) is closely linked to the Arctic (tropics) region. A significant increase (decrease) in temperature over East Asia (EA) corresponding to a weak (strong) EAWM is associated with the N_EATL/WRUS and N_WP teleconnection patterns during the positive (negative) phases. In order to examine impacts of these two teleconnections on the EAWM, three types of effects are reconstructed on the basis of ± 0.5 standard deviation: 1) Combined effect, 2) N_EATL/WRUS effect, and 3) N_WP effect. The positive N_EATL/WRUS teleconnection induces to a weakened Siberian High and a shallow EA trough at the mid-troposphere through wave propagation, leading to the weak EAWM. During the positive N_WP pattern, warm air from the tropics flows toward the EA along western flank of an anomalous anticyclone over the North Pacific that is relevant to the meridional shift of the Aleutian Low. When the two mid-latitude teleconnections have the in-phase combination, the increase in temperature over EA appears to be more pronounced than the individual effects by transporting warm air from tropics via strong southeasterly wind anomalies induced by anomalous zonal pressure gradient between the Siberian High and Aleutian Low. Therefore, the impact of the mid-latitude teleconnections on the EAWM becomes robust and linearly superimposed, unlike a nonlinear in-phase combined effect of the AO and ENSO.     

东亚冬夏季风关系在1970s末的年代际转变

利用NCEP/NCAR和Hadley中心的大气与海洋再分析资料,选取具有代表性的东亚冬、夏季风指数,采用滑动相关和线性回归等方法,主要讨论了受ENSO影响的东亚冬季风分量和后期夏季风之间关系的年代际变化,并分析了二者关系发生变化的原因。结果表明:在1965—1979年,受ENSO影响的冬季风与后期夏季风强度的对应关系并不明显。在1980—2004年,受ENSO影响的冬季风强,对应后期的夏季风偏弱,弱冬季风对应的后期夏季风偏强。当受ENSO影响的冬季风较强时,冬季在对流层低层西北太平洋出现了异常气旋并可以维持到次年夏季,低纬地区位势高度偏低,削弱了西太平洋副热带高压,异常气旋西部的偏北气流阻碍了西南风的北进,导致夏季风偏弱。海表温度异常在1980年前后春、夏季不同的分布型可以解释环流在不同时段内的差异。     

东亚冬季风对秋、冬季SSTA响应的数值试验

利用NCAR CCM2模式，通过设计多组数值试验方案，研究了东亚冬季风对赤道中东太平洋、中纬度太平洋秋、冬季SSTA的响应。模拟结果表明，东亚冬季风对秋、冬季太平洋SSTA均存在一定的响应，但冬季风对SSTA的响应存在显著的季节和海域差异，并表现出不同的异常响应形态。东亚冬季风对秋季SSTA的显著响应区域位于中纬度太平洋地区，该区域的SST的持续异常，可以引起欧亚、北美地区冬季大气环流的异常，并伴随有明显的EU型和PNA型波列特征，秋季中纬度太平洋SST持续异常偏冷（暖），能够引起有利于强（弱）东亚冬季风的环流异常。而冬季风对冬季SSTA的响应则为赤道中东太平洋和中纬度太平洋SSTA共同作用的结果，在两个区域SSTA的同时强迫下，大气环流表现出类似PNA及WP型波列分布的异常响应特征，赤道中东太平洋的正（负）的SSTA及中纬度太平洋负（正）的SSTA，将导致弱（强）冬季风的发生。     

Seasonal evolution mechanism of the East Asian winter monsoon and its interannual variability

This study investigates the space–time evolution of the East Asian winter monsoon (EAWM) and its relationship with other climate subsystems. Cyclostationary Empirical Orthogonal Function (CSEOF) analysis and the multiple regression method are used to delineate the detailed evolution of various atmospheric and surface variables in connection with the EAWM. The 120 days of winter (November 17–March 16) per year over 62 years (1948–2010) are analyzed using the NCEP daily reanalysis dataset. The first CSEOF mode of 850-hPa temperatures depicts the seasonal evolution of the EAWM. The contrast in heat capacity between the continent and the northwestern Pacific results in a differential heating in the lower troposphere. Its temporal evolution drives the strengthening and weakening of the Siberian High and the Aleutian Low. The anomalous sea level pressure pattern dictates anomalous circulation, in compliance with the geostrophic relationship. Thermal advection, in addition to net surface radiation, partly contributes to temperature variations in winter. Latent and sensible heat fluxes (thermal forcing from the ocean to the atmosphere) increase with decreased thermal advection. Anomalous upper-level circulation is closely linked to the low-level temperature anomaly in terms of the thermal wind equation. The interannual variability of the seasonal cycle of the EAWM is strongly controlled by the relative strength of the Siberian High to the Aleutian Low. A stronger than normal gradient between the two pressure systems amplifies the seasonal cycle of the EAWM. The EAWM seasonal cycle in the mid-latitude region exhibits a weak negative correlation with the Arctic Oscillation and the East Atlantic/West Russia indices.     

Joint Impacts of SSTA in Tropical Pacific and Indian Oceans on Variations of the WPSH

Using the NCEP/NCAR reanalysis and HadISST sea surface temperature (SST) data, the joint effects of the tropical Indian Ocean and Pacific on variations of area of the summertime western Pacific subtropical high (WPSH) for period 1980–2016 are investigated. It is demonstrated that the central tropical Indian Ocean (CTI) and central equatorial Pacific (CEP) are two key oceanic regions that affect the summertime WPSH. During autumn and winter, warm SST anomalies (SSTAs) in CEP force the Walker circulation to change anomalously, resulting in divergence anomalies over the western Pacific and Maritime Continent (MC). Due to the Gill-type response, the abnormal anticyclonic circulation is generated over the western Pacific and South China Sea (SCS). In the subsequent spring, the warm SSTAs in CEP weaken, while the SST over CTI demonstrates a lagged response to Pacific SSTA. The warm CTISSTA and CEP-SSTA cooperate with the eastward propagation of cold Kelvin waves in the western Pacific, leading to the eastward shift of the abnormal divergence center that originally locates at the western Pacific and MC. The anticyclone forced by this divergence subsequently moves eastward, leading to the intensification of the negative vorticity there. Meanwhile, warm SSTA in CTI triggers eastward propagating Kelvin waves, which lead to easterly anomalies over the equatorial Indian Ocean and Indonesia, being favorable for maintenance and intensification of the anticyclone over the SCS and western Pacific. The monsoonal meridional–vertical circulation strengthens, which is favorable for the intensification of the WPSH. Using SSTA over the two key oceanic regions as predictors, a multiple regression model is successfully constructed for prediction of WPSH area. These results are useful for our better understanding the variation mechanisms of WPSH and better predicting summer climate in East Asia.     

中国东部冬季温度异常偶极型模态的一个前兆信号

利用中国160站逐月温度、NCEP再分析、NOAA-CIRES 20世纪再分析以及NOAA海表温度等资料,分析了中国东部（100°E以东地区）冬季温度年际变化的主要模态,并重点研究了其中第2模态（即偶极型模态）的成因机理和前期信号。同时,也以2012～2013年冬季为例,探讨了这一温度异常模态的预测方法。研究主要发现:除中国东部大范围一致偏冷或偏暖模态以外,110°E以东的北方地区偏冷（暖）还经常对应着华南和110°E以西地区的偏暖（冷）,构成温度异常反向变化的偶极型模态。这种偶极型模态也是冬季气候变化的一个主要模态,2012～2013年冬季温度异常即属于这一模态。中国东部冬季温度一致型模态主要与前期秋季中东太平洋海温异常、亚洲大陆北部积雪,及其邻近的北冰洋地区海冰密集度异常联系紧密。而对于偶极型模态,海温的影响并不明显,前期秋季的东亚中纬度地区积雪、北冰洋斯瓦尔巴群岛、法兰士约瑟夫地群岛附近海域的海冰密集度异常,以及它们引起的表面温度异常分布可能具有重要贡献,其中北冰洋海冰密集度异常导致的该地区表面温度异常的影响可能更为重要。综合了海冰和积雪信号的前期秋季北冰洋—东亚温度差异（Arctic Ocean-East Asian temperature contrast,简称AE）指数与中国东部冬季温度异常偶极型模态具有显著联系,可以作为一个重要的预测因子。2012年秋季赤道中东太平洋海温的正常状态以及北冰洋暖异常和东亚中纬度地区冷异常的表面温度分布特征,都不利于中国东部冬季温度南北一致型异常的发生,而是有利于偶极型异常分布。利用AE指数可以有效地预测2012～2013年中国东部冬季温度异常特征。     

天津春季气候特征及2013年春季影响因子分析

利用1974-2012年天津12个气象站的降水、气温资料及NCEP／NCAR再分析资料等,采用经验函数正交分解（EOF）和相关分析等统计方法,对天津春季的气候特征及主要影响因子进行分析。结果表明：1）天津春季降水空间分布主要有全市一致型和南北反位相型2种分布型,其总方差贡献接近90％,2013年春季为全市一致型。2）东亚冬季风、北极涛动（AO）和西太平洋副高是天津春季气候的主要影响因子。3）2013年,东亚冬季风偏强,AO冬、春持续负位相,春季西太平洋副高偏弱、偏东,均指示天津2013年春季降水偏少、气温偏低的可能性大。     

前、后冬的东亚冬季风年际变异及其与东亚降水的关系

利用ERA-Interim的再分析资料和NOAA海温、降水量等资料对前、后冬的东亚冬季风的年际变异特征及其与东亚降水的关系进行对比分析,并讨论了热带和中高纬系统影响东亚冬季风变异的相对重要性。前冬的东亚冬季风变异的主导模态为东亚全区一致变异型,即一致的北风偏弱或偏强;其次为南部变异型,主要表现为在我国南方-南海北部的东北风偏弱或偏强。而后冬的东亚冬季风变异的主导模态则为南部变异型,其次为东亚全区一致变异型。从前冬到后冬,东亚冬季风的主要变异模态的次序出现交叉更替。前、后冬的冬季风主要模态以年际变化为主,但后冬主导模态还显示出冬季风有变强的趋势。前、后冬的东亚冬季风的主导变异模态也影响东亚降水异常的位置。在前冬,冬季风异常主要影响我国华北、渤海-黄海海域以及朝鲜半岛和日本南部区域的降水异常,而后冬的冬季风异常则主要导致我国东南地区及其东侧附近的西北太平洋海区的降水异常。前冬的东亚冬季风的前两种主要变异模态都受到印度洋-太平洋海温和中高纬环流系统共同的影响;后冬的东亚冬季风的前两种主要变异模态则分别主要受ENSO和中高纬系统的影响。      

厄尔尼诺年西北太平洋异常反气旋的年际变化特征及其影响

基于1901-2000年多种海-气资料,分析了厄尔尼诺成熟年冬季-初夏西北太平洋异常反气旋（WNPAC）的年际变化特征及其对东亚气候的影响。结果表明,无论是厄尔尼诺事件成熟期的冬季还是次年的春季和初夏,WNPAC的年际变化主要存在两个空间变化型,即反映其强度变化的经验正交函数分解第1模态和反映其位置变化的第2模态。厄尔尼诺成熟年冬季WNPAC强度不仅与赤道中东太平洋海温异常有关,而且与太平洋西部（WP）型遥相关的强度有关,而其位置的变化则主要与西北太平洋局地海温异常以及北极涛动（AO）有关;次年春季,WNPAC的强度除了与赤道中东太平洋海温异常和太平洋西部型遥相关存在显著相关外,还与赤道大西洋海温异常有关,而其位置的变化则主要与西北太平洋局地海温异常和太平洋西部型遥相关有关;次年初夏,WNPAC强度主要与西北印度洋和西南印度洋的海温异常以及东亚-太平洋（EAP）型遥相关的强度有关。进一步分析表明,成熟年冬季-初夏WNPAC的强度和位置的变化均可对东亚地区降水异常分布产生影响,这对预测厄尔尼诺事件发生后冬季及后期春、夏季节东亚地区降水异常分布具有一定的指示意义。此外,次年初夏,WNPAC强度变化与西北太平洋台风发生频数存在显著负相关,即WNPAC越强,台风发生的频数越少,反之亦然。     

Potential impacts of East Asian winter monsoon on climate variability and predictability in the Australian summer monsoon region

This study explores potential impacts of the East Asian winter monsoon (EAWM) on summer climate variability and predictability in the Australia–Asian region through Australia–Asia (A-A) monsoon interactions. Observational analysis is conducted for the period of 1959 to 2001 using ERA-40 wind reanalysis and Climate Research Unit rainfall and surface temperature monthly datasets. Statistically significant correlations are established between the Australian summer monsoon and its rainfall variations with cross-equatorial flows penetrating from South China Sea region and northerly flow in the EAWM. The underlying mechanism for such connections is the response of the position and intensity of Hardley circulation to strong/weak EAWM. A strong EAWM is associated with an enhanced cross-equatorial flow crossing the maritime continent and a strengthened Australia summer monsoon westerlies which affect rainfall and temperature variations in northern and eastern part of the Australian continent. Furthermore, partial correlation analysis, which largely excludes El Niño-Southern Oscillation (ENSO) effects, suggests that these connections are the inherent features in the monsoon system. This is further supported by analyzing a global model experiment using persistent sea surface temperatures (SSTs) which, without any SST interannual variations, shows similar patterns as in the observational analysis. Furthermore, such interaction could potentially affect climate predictability in the region, as shown by some statistically significant lag correlations at monthly time scale. Such results are attributed to the impacts of EAWM on regional SST variations and its linkage to surface conditions in the Eurasian continent. Finally, such impacts under global warmed climate are discussed by analyzing ten IPCC AR4 models and results suggest they still exist in the warmed climate even though the EAWM tends to be weaker.     

Prediction of primary climate variability modes at the Beijing Climate Center

Climate variability modes, usually known as primary climate phenomena, are well recognized as the most important predictability sources in subseasonal–interannual climate prediction. This paper begins by reviewing the research and development carried out, and the recent progress made, at the Beijing Climate Center (BCC) in predicting some primary climate variability modes. These include the El Niño–Southern Oscillation (ENSO), Madden–Julian Oscillation (MJO), and Arctic Oscillation (AO), on global scales, as well as the sea surface temperature (SST) modes in the Indian Ocean and North Atlantic, western Pacific subtropical high (WPSH), and the East Asian winter and summer monsoons (EAWM and EASM, respectively), on regional scales. Based on its latest climate and statistical models, the BCC has established a climate phenomenon prediction system (CPPS) and completed a hindcast experiment for the period 1991–2014. The performance of the CPPS in predicting such climate variability modes is systematically evaluated. The results show that skillful predictions have been made for ENSO, MJO, the Indian Ocean basin mode, the WPSH, and partly for the EASM, whereas less skillful predictions were made for the Indian Ocean Dipole (IOD) and North Atlantic SST Tripole, and no clear skill at all for the AO, subtropical IOD, and EAWM. Improvements in the prediction of these climate variability modes with low skill need to be achieved by improving the BCC’s climate models, developing physically based statistical models as well as correction methods for model predictions. Some of the monitoring/prediction products of the BCC-CPPS are also introduced in this paper.     

1961—2019年黑龙江省冬季气温季节内变化及环流异常特征

利用1961—2019年黑龙江省冬季气温、NCEP再分析资料和环流指数资料,采用多变量经验正交函数分解、合成分析、相关分析等方法,分析黑龙江省冬季气温季节内变化及其环流异常特征,并进一步对比了主要环流因子在冬季气温季节内演变不同模态中的相对贡献。结果表明: 季节内变化是黑龙江省冬季气温变化的基本特征。黑龙江省冬季气温存在季节内一致变化、12月和翌年1—2月反位相变化、12月至翌年1月和2月反位相变化三个主要模态。当冬季气温处于第一模态分布一致偏暖（冷）时,环流呈现北极涛动（AO）正（负）位相的分布特征,东亚冬季风（EAWM）偏弱（强）。当冬季气温发生季节内冷暖转换时,季内极涡、高空急流、西伯利亚高压（SH）和EAWM强度、中高纬环流经向度等均有明显调整。第二模态1月和第三模态2月环流场分别呈现类似极地欧亚型（PEA）和东大西洋型（EA）遥相关的分布特征。AO、SH、EAWM、PEA和EA是冬季气温季节内演变的重要影响因子。     

东北地区冬季气温对海温异常响应的研究

利用HadISST OI海温和中国东北地区92站逐日气温资料,使用广义平衡反馈分析方法(GEFA)结合EOF分析方法(GEFA-EOF)研究了近50a中国东北地区冬季气温对海表温度异常(SSTA)的响应.结果表明:对于热带和北半球中纬度5个海盆来说,东北地区冬季气温异常与同期热带大西洋和北大西洋海温异常有密切关系,与其他海盆关系不显著;热带大西洋的"正—负—正"三极型模态(TA3)以及北大西洋纬向上"正—负—正"三极型模态(NA3)分别对东北地区冬季气温的异常偏低和偏高有显著的强迫作用,且对北部地区的强迫作用大于南部地区.热带大西洋和北大西洋对东北地区冬季气温异常影响的可能途径为:热带大西洋TA3模态通过在北半球激发的"正—负—正"的遥相关波列,致使东亚大槽移至贝加尔湖地区,有利于极地冷空气南下至东北地区,导致该地区的冷冬;北大西洋的"正—负—正"三极型模态(NA3)直接响应使得东亚大槽减弱消失,极地冷空气南下受阻,导致该地区冬季气温异常偏高.     

The impact of boreal autumn SST anomalies over the South Pacific on boreal winter precipitation over East Asia

The possible mechanism behind the variability in the dipole pattern of boreal winter precipitation over East Asia is analyzed in this study. The results show that the SST anomalies(SSTAs) over the South Pacific Ocean(SPO) in boreal autumn are closely related to the variability in the dipole pattern of boreal winter precipitation over East Asia. The physical link between the boreal autumn SPO SSTAs and the boreal winter East Asian precipitation dipole pattern is shown to mainly be the seasonal persistence of the SPO SSTAs themselves. The seasonal persistence of the SPO SSTAs can memorize and transport the signal of the boreal autumn SSTAs to the following winter, and then stimulates a meridional teleconnection pattern from the SH to the NH, resulting in a meridional dipole pattern of atmospheric circulation over East Asia in boreal winter. As a major influencing factor, this dipole pattern of the atmospheric circulation can finally lead to the anomalous precipitation dipole pattern over East Asia in boreal winter. These observed physical processes are further confirmed in this study through numerical simulation. The evidence from this study, showing the impact of the SPO SSTAs in boreal autumn,not only deepens our understanding of the variability in East Asian boreal winter precipitation, but also provides a potentially useful predictor for precipitation in the region.     

两类ENSO对中国北方冬季平均气温和极端低温的不同影响

利用1961-2012年观测、再分析资料以及全球大气环流模式数值试验,探讨了中国北方冬季平均气温对于不同类型（即东部型和中部型）ENSO事件的气候响应,并分析了不同类型ENSO对极端低温事件的可能影响,重点关注了北大西洋涛动（NAO）在其中的桥梁作用。结果表明,ENSO信号能通过调制北大西洋地区的大气环流改变欧亚中高纬度地区的纬向温度平流输送和西伯利亚高压的强度,进而影响中国北方冬季气温,由于不同类型ENSO事件海温分布的差异,这种影响具有明显的非线性特征。在两类厄尔尼诺和东部型拉尼娜事件冬季,北大西洋涛动均呈现负位相,不利于北大西洋的暖湿空气向欧亚大陆输送,西伯利亚高压偏强,因而中国北方地区较气候态偏冷。中部型厄尔尼诺和东部型拉尼娜事件冬季气温负异常的显著区域分别位于东北大范围地区、内蒙古河套附近;东部型厄尔尼诺事件冬季显著的冷异常信号仅局限于黑龙江北部与大兴安岭地区;而中部型拉尼娜事件冬季虽伴随北大西洋涛动正位相,但其空间结构向西偏移,对下游中国北方地区气温的直接影响并不显著,可能受局地信号干扰较大。数值试验再现了北大西洋涛动以及中国北方冬季气温对不同类型ENSO的响应,进一步佐证了上述结论。此外,两类厄尔尼诺事件冬季中国东北地区日平均气温容易偏低,极端低温事件的发生频次增多;而两类拉尼娜事件对极端低温的影响较弱。      

The interannual variability of East Asian Winter Monsoon and its relation to the summer monsoon

1.IntroductionOvertheEastAsiaregion,themostprominentsurfacefeatureofthewintermonsoonisstrongnortheasterliesalongtheeastflankoftheSiberianhighandthecoastofEastAsia.At500hPathereisabroadtroughcenteredaboutatthelongitudesofJapan.Thedominantfea-tureat2O0hPaistheEastAsianjetwithitsmaximumlocatedatjustsoutheastofJapan.Thisktisassociatedwithintensebaroclinicity,largeverticalwindshearandstrongadvectionofcoldair(StaffmembersofAcademiaSinica,l957,LauandChang,1987;BoyleandChen,1987;Chenetal.,1991…     

Simple metrics for representing East Asian winter monsoon variability: Urals blocking and western Pacific teleconnection patterns

Instead of conventional East Asian winter monsoon indices(EAWMIs), we simply use two large-scale teleconnection patterns to represent long-term variations in the EAWM. First, the Urals blocking pattern index(UBI) is closely related to cold air advection from the high latitudes towards western Siberia, such that it shows an implicit linkage with the Siberian high intensity and the surface air temperature(SAT) variations north of 40?N in the EAWM region. Second, the well-known western Pacific teleconnection index(WPI) is connected with the meridional displacement of the East Asian jet stream and the East Asian trough. This is strongly related to the SAT variations in the coastal area south of 40?N in the EAWM region.The temperature variation in the EAWM region is also represented by the two dominant temperature modes, which are called the northern temperature mode(NTM) and the southern temperature mode(STM). Compared to 19 existing EAWMIs and other well-known teleconnection patterns, the UBI shows the strongest correlation with the NTM, while the WPI shows an equally strong correlation with the STM as four EAWMIs. The UBI–NTM and WPI–STM relationships are robust when the correlation analysis is repeated by(1) the 31-year running correlation and(2) the 8-year high-pass and low-pass filter. Hence,these results are useful for analyzing the large-scale teleconnections of the EAWM and for evaluating this issue in climate models. In particular, more studies should focus on the teleconnection patterns over extratropical Eurasia.