印度洋海温年际异常与热带夏季季节内振荡的关系及其数值模拟研究

利用观测分析资料和SINTEX-F海气耦合长时间(70年)数值模拟结果,分析了印度洋海温年际异常与热带夏季季节内振荡(BSISO)各种传播模态之间关系及其物理过程。结果表明,印度洋海温年际异常与热带BSISO关系密切,当印度洋为正(负)偶极子情况,中东印度洋北传BSISO减弱(加强);当印度洋为正(负)海盆异常(BWA)情况,印度洋西太平洋赤道地区(40°E -180°)东传BSISO加强(减弱)。印度洋海温年际变化通过大气环流背景场和BSISO结构影响热带BSISO不同传播模态强度的年际变化。在负(正)偶极子年夏季,由于对流层大气垂直东风切变加强(减弱),对流扰动北侧的正压涡度、边界层水汽辐合加强更明显(不明显),导致形成BSISO较强(弱)的经向不对称结构,因此北传BSISO偏强(减弱)。印度洋BWA模态通过影响赤道西风背景以及海气界面热力交换,导致赤道东传BSISO强度产生变化。在正BWA年夏季,赤道地区西风较明显,当季节内振荡叠加在这种西风背景下,扰动中心的东侧(西侧)风速减弱(加强)更明显,海面蒸发及蒸发潜热减弱(加强)更明显,导致扰动中心的东侧(西侧)海温升高(降低)幅度更大,从而使边界层产生辐合(辐散)更强、水汽更多(少),因此赤道东传BSISO偏强;而在负BWA年,赤道地区西风背景减弱,以上物理过程受削弱使赤道东传BSISO偏弱。     

北极涛动对ENSO影响的研究进展

北极涛动(AO)是北半球中高纬地区大气环流年际变率的第一主导模态,厄尔尼诺-南方涛动(ENSO)则是热带太平洋地区年际变化的最强信号。这两个气候系统对全球大范围的天气和气候都能产生显著的影响。总结了近年来关于AO影响ENSO的最新研究进展,试图促进对中高纬度大气系统影响热带系统物理过程的理解。研究表明,春季AO对随后冬季ENSO的爆发存在显著的影响,其中北太平洋中纬度地区的天气尺度波与平均流之间的相互作用及其相关的涡度输送对赤道西太平洋异常西风的形成起着重要的作用。在年代际时间尺度上,研究发现,春季AO对随后冬季ENSO的影响在20世纪70年代初发生了一次显著的年代际变化,该年代际变化与北太平洋地区风暴轴强度的年代际变化紧密相联。研究还揭示了春季AO对ENSO影响的不对称性,即只有当春季AO处于正位相时,才能对随后冬季赤道中东太平洋海温产生显著影响。研究发现春季AO位相变化对前冬NPO与后一个冬季ENSO之间的关系具有显著的调制作用。此外,研究还发现,除春季AO外,11月AO对随后春季和夏季赤道中东太平洋海温也存在显著的影响,这主要和北太平洋地区风暴轴气候态强度的年循环有关。     

热带风场季内振荡强度与海表温度异常关系研究

利用NCEP/NCAR逐日风场及英国气象局逐月海表温度资料,研究了对流层高低层风场季内振荡强度季节变化特征,探讨了其年际及年代际异常特征与海表温度异常的关系。热带印度洋、热带西太平洋是高低层风场季内振荡终年均活跃的区域。对流层高低层风场季内振荡强度异常与海表温度异常均不存在确定的局地关系。风场季内振荡能量异常与海表温度异常在年代际尺度上具有良好对应关系,20世纪70年代中后期以来,赤道东太平洋海温异常升高,Walker环流减弱,导致亚洲区域季风季内振荡强度减弱,赤道太平洋区域200hPa（850hPa）风场季内振荡在赤道东太平洋增强（减弱）,在印度洋东南部—印尼—中西太平洋的暖池区域减弱（增强）,促进了ElNino事件的增强。对流层高低层风场季内振荡强度年际异常与ElNino事件关系密切,这一特征在低层（850hPa）风场表现更显著。在事件发展初期,热带中西太平洋区域850hPa风场季内振荡异常增强并东移,事件发生之后这些区域能量减弱。大气季内振荡可能是ElNino事件的激发因素。     

热带太平洋西风异常对ENSO事件发生的作用

本文从观测资料对80年代两次ENSO事件产生过程中，热带太平洋西风异常及其对赤道中、东太平洋表层海温增暖的作用进行了分析和比较。分析结果表明:在这两次ENSO事件的产生过程中，赤道西太平洋上空均有较大的西风异常，并且它由赤道西太平洋向赤道中、东太平洋传播，随着西风异常从西向东传播，赤道中、东太平洋的表层相继增温。分析还表明，1982／1983年ENSO事件发生过程中，热带太平洋西风异常的强度要比1986／1987年热带太平洋西风异常强得多，这使得1982／1983 ENSO事件的强度比1986／1987_ENSO事件强得多。为了说明热带西太平洋西风异常对赤道中、东太平洋ENSO事件发生的作用，本文还利用IAP太平洋环流模式对西风异常在ENSO事件产生过程中的作用进行了数值模拟。模拟的结果说明了热带太平洋的西风异常对赤道太平洋暖水的向东传播和赤道中、东太平洋的增温起了很重要作用，这与观测事实分析一致。     

南亚高压季节持续性异常及其与ENSO关系

南亚高压是对流层中上层重要的大气活动中心.文中选取200hPa等压面,应用1948—2006年NCEP/NCAR月平均再分析资料、NCAR的CAM3.0大气环流模式,分析了南亚高压强度的季节持续性异常特征及其与ENSO事件的关系,结果表明南亚高压强度的冬—春—夏的季节持续性异常特征,这种长达半年以上的季节持续性异常与ENSO事件存在密切关系。进一步分析发现,南亚高压强度异常程度的时间演变特征与赤道东太平洋海温表征的ENSO信号的演变特征并不一致,南亚高压强度度异常滞后ENSO信号,对ENSO信号的响应从前一年的12月开始,一直持续到当年的9月,1—5月强度异常最强,6—9月强度异常次之。1月Nino3.4指数时滞自相关表征的ENSO事件春季开始,夏秋季发展,冬季成熟,来年春季开始减弱,夏季基水消失。不同海区数值试验结果表明:在ENSO事件成熟期的冬季,南亚高压与赤道东太平洋海温关系密切,在ENSO事件衰减期的春季,与赤道东太平洋和印度洋海温关系密切,在ENSO事件衰减期的夏季,与印度洋海温关系密切。     

南海夏季风活动的年际和年代际特征

利用NCEP风场资料和候平均向外长波辐射（OLR）资料分析了南海区域低层风场与对流活动的关系,在此基础上,采用南海中南部的纬向风平均值来定义南海夏季风的爆发,确定了长序列（1949～1998）的南海夏季风爆发日期和强度指数,并研究南海夏季风活动的年际和年代际变化特征。结果表明：南海夏季风爆发日期和强度指数呈显著的反相关;50年来的气候趋势是,爆发日期逐渐偏晚,强度指数逐渐减弱。二者都存在着明显的年际和年代际变化,它们在不同阶段上的波动是各种时间尺度振荡叠加的结果,而年代际尺度具有非常重要的作用。东印度洋海温异常在南海夏季风爆发前后,均与南海夏季风强度指数呈显著的反相关。东太平洋海温异常在南海夏季风爆发之前,与强度指数反相关,而爆发之后,与强度指数正相关。这体现了南海夏季风活动与ENSO事件的密切关系。     

热带大西洋暖海温促使拉尼娜事件发生的可能性研究

首先,通过对多年冬、春季节热带大西洋海温、夏季大气季节内振荡(MJO)异常活动特征和冬季太平洋ENSO之间的分析研究,发现三者之间存在显著的相关关系。其次,1951年以来最强的两次厄尔尼诺年(1982和1997年)后都跟随着拉尼娜年。因此对1983、1998和2016年大西洋春季海温及MJO信号进行的分析和比较表明,2016年初大西洋关键区海温异常偏暖,与1998年情况较为类似。2016年夏季,MJO可能出现在印度洋异常活跃的情况,并可能导致热带太平洋秋、冬季节出现中等强度的拉尼娜事件。     

太平洋年代际振荡冷、暖背景下ENSO循环的特征

利用英国气象局哈德莱中心的月平均海温距平资料、美国Scripps海洋研究所联合环境分析中心(JEDAC)的海表和次表层海温观测资料以及NCEP/NCAR再分析资料,研究了太平洋年代际振荡(PDO)不同背景下ENSO循环的特征.结果表明,PDO为ENSO循环提供了一个年代际气候背景,在PDO的暖位相时期,El Nino事件发生的频率较高,强度较强;反之,在PDO的冷位相时期,La Nina事件发生的频率较高,强度较强.而且在不同的太平洋年代际振荡背景下,ENSO循环表现出不同的特征.在PDO冷位相时期,发生El Nino(La Nina)事件时,正(负)的SOTA从西太平洋沿温跃层向东传播,正(负)的SSTA从赤道东太平洋向西扩展到中太平洋,ENSO事件先在赤道东太平洋爆发.在PDO的暖位相时期,发生El Nino(La Nina)事件时,正(负)的SOTA首先出现在赤道中太平洋,然后沿温跃层向东传播,正(负)的SSTA从赤道中太平洋向东扩展到东太平洋,ENSO事件首先在中太平洋爆发.这为ENSO预测提供了新的线索.     

台风内部的中尺度波动与多边形眼墙的形成

用小波变换分析了1948～2003年南海夏季风强度指数序列振荡特征,并研究了Lanczos滤波器滤出的不同时间尺度上南海夏季风强度与SODA资料提供的海洋热力条件的关系。结果表明,南海夏季风强度变化存在准4年的年际变化、约9年周期的十年际变化和38年左右周期的年代际变化。年际变化最强,年代际变化最弱。不同尺度上的南海夏季风强度变化与海洋热力条件的显著相关区有很大的地域差异。南海夏季风强度的年际变化主要与近赤道地区的热带海洋变化有关,相关关系呈准2年变化。若前一年秋冬季节的赤道东印度洋、赤道西太平洋出现海温和温跃层深度正异常和赤道西印度洋、赤道中东太平洋出现海温和温跃层深度负异常时,对应于当年的年际尺度上的南海夏季风加强;反之则减弱。南海夏季风强度与后期海温的对应关系为:南海夏季风加强,秋季时,南海周边海区和澳大利亚东部海区海温显著负相关;冬季时,热带西印度洋、赤道中东太平洋和赤道大西洋海温出现显著的正相关。南海夏季风强度的年代变化受PDO的调制。年代际尺度上南海夏季风强度的变化即与全球变暖有关,也与PDO有关。     

近百年来热带太平洋海温年际及年代际时间变率特征的诊断研究

年际及年代际时间变率是当代气候研究的重要问题之一 ,通过对近百年热带太平洋海温资料做子波分析发现 ,2 0世纪 50年代以来的海温升高及频繁发生的 ENSO事件伴随着海温年代际时间尺度背景场的明显改变 ,同时还研究了其年代际及年际时间尺度时间变率特征。     

THE CONTRASTS BETWEEN STRONG AND WEAK MJO ACTIVITY OVER THE EQUATORIAL WESTERN PACIFIC IN WINTER

This paper investigates the contrasts between strong and weak Madden-Julian Oscillation (MJO) activity over the equatorial western Pacific during winter using the NCEP reanalysis data. It is shown that the MJO over the equatorial western Pacific in winter shows significant interannual and interdecadal variabilities. During the winters with strong MJO activity, an anomalous cyclonic circulation lies east of the Philippines, strong anomalous easterlies control the equatorial eastern Pacific, and anomalous westerlies extend from the Indian Ocean to the western Pacific in the lower troposphere, which strengthens the convergence and convection over the equatorial western Pacific. The moisture convergence in the lower troposphere is also enhanced over the western Pacific, which is favorable to the activity of MJO. Eastward propagation is a significant feature of the MJO, though there is some westward propagation. The space-time spectral power and center period of the MJO are higher during strong MJO activity winters. The anomalous activity of MJO is closely related to the sea surface temperature (SST) and East Asian winter monsoon (EAWM). During strong MJO activity winters, there are positive/negative anomalies at high/low latitudes in both sea level pressure and 500 hPa geopotential height, and the temperature is lower over the central part of the Chinese mainland, which indicates a strong EAWM. China experiences more rainfall between the Yellow and Yangtze Rivers, but less rainfall south of the Yangtze River. The SSTA is negative near the Taiwan Island due to the impact of strong EAWM and shows a La Ni?a pattern anomaly over the eastern Pacific. During the weak MJO activity winters, the situation is reversed.     

Influence of positive and negative Indian Ocean Dipoles on ENSO via the Indonesian Throughflow: Results from sensitivity experiments

The role of the Indonesian Throughflow(ITF) in the influence of the Indian Ocean Dipole(IOD) on ENSO is investigated using version 2 of the Parallel Ocean Program(POP2) ocean general circulation model. We demonstrate the results through sensitivity experiments on both positive and negative IOD events from observations and coupled general circulation model simulations. By shutting down the atmospheric bridge while maintaining the tropical oceanic channel, the IOD forcing is shown to influence the ENSO event in the following year, and the role of the ITF is emphasized. During positive IOD events,negative sea surface height anomalies(SSHAs) occur in the eastern Indian Ocean, indicating the existence of upwelling.These upwelling anomalies pass through the Indonesian seas and enter the western tropical Pacific, resulting in cold anomalies there. These cold temperature anomalies further propagate to the eastern equatorial Pacific, and ultimately induce a La Nia-like mode in the following year. In contrast, during negative IOD events, positive SSHAs are established in the eastern Indian Ocean, leading to downwelling anomalies that can also propagate into the subsurface of the western Pacific Ocean and travel further eastward. These downwelling anomalies induce negative ITF transport anomalies, and an El Nio-like mode in the tropical eastern Pacific Ocean that persists into the following year. The effects of negative and positive IOD events on ENSO via the ITF are symmetric. Finally, we also estimate the contribution of IOD forcing in explaining the Pacific variability associated with ENSO via ITF.     

POSSIBLE INFLUENCES OF THE TROPICAL INDIAN OCEAN DIPOLE ON THE EASTWARD PROPAGATION OF MJO

Based on multiple datasets, correlation and composite analyses, and case studies, this paper investigated possible influences of the Indian Ocean dipole （IOD） mode on the eastward propagation of intraseasonal oscillation in the tropical atmosphere. The results showed that （1） the 30-60 day outgoing longwave radiation anomalies in the southeastern Indian Ocean and the 30-60 day 850-hPa zonal wind anomalies over the equatorial central Indian Ocean were significantly correlated with the IOD index; （2） during positive IOD years, the anomalously cold water in the southeastern Indian Ocean and the 850-hPa anomalous easterlies over the equatorial central Indian Ocean might act as barriers to the continuously eastward propagation of the intraseasonal convection, which interrupts the Madden-Julian oscillation （MJO） propagation in the eastern equatorial Indian Ocean and western Pacific; and （3） during negative IOD years, the anomalously warm water in the southeastern Indian Ocean and the low-level westerly anomalies over the equatorial central Indian Ocean favor the eastward movement of MJO.     

Eastward propagating MJO during boreal summer and Indian monsoon droughts

Improved understanding of underlying mechanism responsible for Indian summer monsoon (ISM) droughts is important due to their profound socio-economic impact over the region. While some droughts are associated with ‘external forcing’ such as the El-Niño and Southern Oscillation (ENSO), many ISM droughts are not related to any known ‘external forcing’. Here, we unravel a fundamental dynamic process responsible for droughts arising not only from external forcing but also those associated with internal dynamics. We show that most ISM droughts are associated with at least one very long break (VLB; breaks with duration of more than 10 days) and that the processes responsible for VLBs may also be the mechanism responsible for ISM droughts. Our analysis also reveals that all extended monsoon breaks (whether co-occurred with El-Niño or not) are associated with an eastward propagating Madden–Julian Oscillation (MJO) in the equatorial Indian Ocean and western Pacific extending to the dateline and westward propagating Rossby waves between 10° and 25°N. The divergent Rossby wave associated with the dry phase of equatorial convection propagates westward towards Indian land, couple with the northward propagating dry phase and leads to the sustenance of breaks. Thus, the propensity of eastward propagating MJO during boreal summer is largely the cause of monsoon droughts. While short breaks are not accompanied by westerly wind events (WWE) over equatorial western Pacific favorable for initiating air–sea interaction, all VLBs are accompanied by sustained WWE. The WWEs associated with all VLB during 1975–2005 initiate air–sea interaction on intraseasonal time scale, extend the warm pool eastward allowing the convectively coupled MJO to propagate further eastward and thereby sustaining the divergent circulation over India and the monsoon break. The ocean–atmosphere coupling on interannual time scale (such as El-Niño) can also produce VLB, but not necessary.     

夏季MJO持续异常的主要特征分析

在MJO传播过程中,其活动中心并不总是规律地沿赤道东传。本文通过资料分析发现,夏季MJO的活动中心会出现东传停滞的情况,表现为MJO在赤道太平洋持续异常活跃或者在印度洋持续异常活跃两种形式。为更好描述MJO这种东传不明显的异常特征,本文定义了一个描述MJO持续异常的指数,并据此对夏季MJO持续异常的主要特征进行分析。通过小波分析的方法,发现夏季MJO持续异常时其振荡周期会出现缩短或变弱。通过对MJO持续异常状况下的大气环流进行合成对比分析后发现,夏季MJO的持续异常会对热带大气环流造成显著的影响。具体表现为:MJO夏季在赤道太平洋（印度洋）持续活跃的时候,赤道沃克环流减弱（增强）,西太平洋哈得来环流增强（减弱）,西太平洋副高位置偏北（偏南）,赤道太平洋（印度洋）高层辐散且对流活跃。     

热带大气季节内振荡对西南地区东部夏季降水的影响及其可能机制

利用1979~2013年6~8月的西南地区东部20个台站日降水量资料、逐日MJO(Madden-Julian Oscillation)指数、全球OLR(Outgoing Longwave Radiation)逐日格点资料以及NCEP/NCAR再分析日资料,采用合成分析和线性回归等方法,对夏季MJO不同位相活动影响西南地区东部夏季降水的原因及其可能机制进行了初步分析。研究表明,MJO与西南地区东部夏季降水之间存在着显著的关系,当MJO处于第4(第6)位相时,由于西太平洋副高位置偏南(偏北)、向西南地区东部的水汽输送偏多(偏少),在异常上升(下沉)气流影响下,西南地区东部夏季降水偏多(偏少)。MJO影响西南地区东部夏季降水的可能原因是:当MJO处于第4位相时,赤道东印度洋地区上空大气释放凝结潜热,其激发东北向传播的异常波动,进而影响东亚环流,使得西南地区东部出现夏季降水偏多的环流形势,西南地区东部夏季降水增多;但在第6位相时,西太平洋地区上空对流释放的凝结潜热,其激发PJ(太平洋-日本)型Rossby波列,出现不利于西南地区东部夏季降水的环流形势,西南地区东部夏季降水偏少。     

Impacts of Two Types of El Ni o on the MJO during Boreal Winter

The features of the MJO during two types of El Ni no events are investigated in this paper using the daily NCEP-2reanalysis data, OLR data from NOAA, and Real-time Multivariate MJO index for the period 1979–2012. The results indicate that the MJO exhibits distinct features during eastern Pacific(EP) El Ni no events, as compared to central Pacific(CP) El Ni no events. First, the intensity of the MJO is weakened during EP El Ni no winters from the tropical eastern Indian Ocean to the western Pacific, but enhanced during CP El Ni no winters. Second, the range of the MJO eastward propagation is different during the two types of El Ni no events. During EP El Ni no winters, the MJO propagates eastwards to 120?W, but only to 180?during CP El Ni no winters. Finally, the frequency in eight phases of the MJO may be affected by the two types of El Ni no. Phases 2 and 3 display a stronger MJO frequency during EP El Ni no winters, but phases 4 and 5 during CP El Ni no winters.     

Role of the oceanic channel in the relationships between the basin/dipole mode of SST anomalies in the tropical Indian Ocean and ENSO transition

The relationships between the tropical Indian Ocean basin(IOB)/dipole(IOD) mode of SST anomalies(SSTAs) and ENSO phase transition during the following year are examined and compared in observations for the period 1958–2008.Both partial correlation analysis and composite analysis show that both the positive(negative) phase of the IOB and IOD(independent of each other) in the tropical Indian Ocean are possible contributors to the El Nio(La Nia) decay and phase transition to La Nia(El Nio) about one year later. However, the influence on ENSO transition induced by the IOB is stronger than that by the IOD. The SSTAs in the equatorial central-eastern Pacific in the coming year originate from subsurface temperature anomalies in the equatorial eastern Indian and western Pacific Ocean, induced by the IOB and IOD through eastward and upward propagation to meet the surface. During this process, however the contribution of the oceanic channel process between the tropical Indian and Pacific oceans is totally different for the IOB and IOD. For the IOD, the influence of the Indonesian Throughflow transport anomalies could propagate to the eastern Pacific to induce the ENSO transition. For the IOB, the impact of the oceanic channel stays and disappears in the western Pacific without propagation to the eastern Pacific.     

Seasonal prediction skill of ECMWF System 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere Winter

The seasonal prediction skill for the Northern Hemisphere winter is assessed using retrospective predictions (1982–2010) from the ECMWF System 4 (Sys4) and National Center for Environmental Prediction (NCEP) CFS version 2 (CFSv2) coupled atmosphere–ocean seasonal climate prediction systems. Sys4 shows a cold bias in the equatorial Pacific but a warm bias is found in the North Pacific and part of the North Atlantic. The CFSv2 has strong warm bias from the cold tongue region of the eastern Pacific to the equatorial central Pacific and cold bias in broad areas over the North Pacific and the North Atlantic. A cold bias in the Southern Hemisphere is common in both reforecasts. In addition, excessive precipitation is found in the equatorial Pacific, the equatorial Indian Ocean and the western Pacific in Sys4, and in the South Pacific, the southern Indian Ocean and the western Pacific in CFSv2. A dry bias is found for both modeling systems over South America and northern Australia. The mean prediction skill of 2 meter temperature (2mT) and precipitation anomalies are greater over the tropics than the extra-tropics and also greater over ocean than land. The prediction skill of tropical 2mT and precipitation is greater in strong El Nino Southern Oscillation (ENSO) winters than in weak ENSO winters. Both models predict the year-to-year ENSO variation quite accurately, although sea surface temperature trend bias in CFSv2 over the tropical Pacific results in lower prediction skill for the CFSv2 relative to the Sys4. Both models capture the main ENSO teleconnection pattern of strong anomalies over the tropics, the North Pacific and the North America. However, both models have difficulty in forecasting the year-to-year winter temperature variability over the US and northern Europe.