INDIAN OCEAN DIPOLE AND ITS RELATIONSHIP WITH ENSO MODE*

Near 100-year observed data sets are analyzed, and the results show that the variation of sea surface temperature(SST)in the equatorial Indian Ocean has a feature as a dipole oscillation.The situation of the dipole oscillation mainly shows the positive phase pattern(higher SST in the west and lower SST in the east than normal)and the negative phase pattern(higher SST in the east and lower SST in the west).The amplitude of the positive phase is larger than that of the negative phase.The dipole is stronger in September—November and weaker in January—April than in other months.It principally shows obviously inter-annual(4—5 year period)and inter-decadal variation(25—30 year period).Although the Indian Ocean dipole in the individual year seems to be independent of ENSO in the equatorial Pacific Ocean,in general,the Indian Ocean dipole has obviously negative correlation with the Pacific Ocean "dipole"(similar to the inverse phase of ENSO).The atmospheric zonal(Walker) circulation is fundamental for relating the two dipoles to each other.     

印度洋偶极子对东亚季风区天气气候的影响

利用NCEP/NCAR 40年再分析资料和中国科学院大气物理研究所的IAPAGCM-Ⅱ大气环流模式,分析和模拟了印度洋偶极子对东亚季风区天气气候的影响.结果表明,印度洋偶极子对东亚季风区天气气候,特别是夏季,影响显著.印度洋正偶极子位相期间,东亚地区的西南季风爆发偏晚,强度增强,我国大陆降水增多;而印度洋负偶极子位相期间,东亚地区的西南季风爆发偏早,强度减弱,我国的东南部地区有丰富的降水.     

热带印度洋偶极子的季节性位相锁定可能原因

利用1960年1月～1999年12月Hadley气候预测和研究中心的全球海表温度资料和改进的中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室的第三代海洋环流模式,以及1949年1月～1999年12月NCEP/NCAR月平均海表面大气距平资料,采用资料合成分析和数值试验相结合的方法,研究了热带印度洋偶极子从发展到成熟的特征。海表温度异常的分析结果表明,正、负热带印度洋偶极子的强度和发生强偶极子事件的次数都在北半球秋季达到最强、最多,与季节循环存在位相锁定。偶极子的数值模拟结果与此分析结果一致,表明海洋表面的大气强迫对激发印度洋偶极子有重要作用。对比试验的结果表明,赤道印度洋上空风应力异常是偶极子形成的主要原因。文中还设计了12个敏感性试验研究在相同大气异常强迫下1～12月大气气候基本态对印度洋偶极子的作用,结果发现大气气候态对偶极子的强度有很大影响,其中9月的大气气候态最有利于印度洋偶极子达到最强。这是由赤道东南印度洋地区东南风和海洋之间的正反馈过程决定的,因此大气基本态是偶极子成熟位相锁定在秋季的一个重要原因。     

赤道印度洋纬向海温梯度模及其气候影响

赤道印度洋纬向海温差异对气候的影响是有关印度洋地区海气相互作用研究的焦点。作者进一步分析了印度洋纬向海温差异的特征，提出了赤道印度洋纬向海温梯度模的概念，并在此基础上利用中国科学院大气物理研究所的九层大气环流模式模拟研究了赤道印度洋海温梯度变化对气候的影响。分析结果表明赤道印度洋纬向海温梯度的变化及其对气候的影响比较复杂，由于海温梯度分别产生于暖海温或冷海温两种不同的大尺度背景场，因此它对气候的影响不仅与海温梯度的变化有关，还与其产生的大尺度背景场（暖海温或冷海温）有很直接的关系。在太平洋地区海温不变的情况下，由于赤道东西印度洋大范围海温的升高或降低，有可能在整个印度洋和太平洋之间产生一个海温梯度（简称印－太海温梯度），这一海温梯度对亚洲季风区的降水分布和季风活动起着十分重要的作用，而赤道印度洋纬向海温梯度与印－太海温梯度的叠加，不仅加强或减弱了印－太海温梯度引起的大范围大气辐合、辐散，同时也使得辐合及辐散区的位置发生移动，进而影响了小范围地区的气候异常，特别是赤道东印度洋地区的降水分布和风场变化。与赤道印度洋地区纬向海温梯度的作用相比，赤道印度洋偶极子对气候的影响相对比较单纯，引起的降水异常和风场变化主要与海温偶极子的变化有关。     

热带印度洋海温异常单、偶极模态及其相互作用

利用最近50多年的GISST和NCEP的OISST海表温度资料研究了印度洋海温变化的空间分布型和多重时间尺度及其相互作用.结果表明,热带印度洋海温主要存在两种空间分布型,即全海盆符号一致的单极和东、西部符号相反的偶极.单极既存在长期增暖趋势,也存在年际振荡;偶极则以年际变化为主.在去掉由EOF重建的单极后,热带印度洋东、西部海温表现为显著的反相关关系;对17次典型偶极子个例的分析表明,对偶极子本身而言,偶极子的演变更像是一种翘翘板似的局地振荡.单极在长期趋势和年际时间尺度上对偶极的影响是不同的.长期趋势缩短了偶极子的生命期,在冷期,印度洋海温经历了由负单极到正偶极再到负单极的演变,偶极子的异常信号最早出现在热带西印度洋;在暖期,印度洋海温经历了由正单极到正偶极再到正单极的演变,偶极子的异常信号最早出现在热带东印度洋.对年际时间尺度的变化而言,印度洋海温异常由负单极向正偶极再到正单极转换,偶极子位于一种单极向另一种单极的转换过程之中,在此过程中,印度洋海温表现为明显自西向东的传播特征.     

10月份热带印度洋海气耦合的统计动力诊断

本文将热带印度洋10月份的大气风场和海洋上层流场看作一个整体, 对其作了动力统计诊断, 即作了复EOF分析, 考察了其年际和年代际变化, 并揭示其与印度洋偶极子 (IOD) 和ENSO的关系。结果表明: 在同一模态中, 海洋模态表现出很强的赤道俘获现象, 而大气则无此现象; 第一模态为印度洋偶极子模态; 第二模态为ENSO前期在印度洋的延伸模态。前2个模态的风场都揭示了Walker环流异常的结构; 印度洋海温的年际变化主要取决于印度洋地区的海气耦合状态, 但太平洋的ENSO循环对其也有一定影响。     

1997-1998年热带印度洋偶极子季节性位相锁定可能成因

利用改进的中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室的第三代海洋环流模式,以及1949年1月-1999年12月NCEP／NCAR月平均海表面大气距平资料,采用数值试验的方法,研究了1997--1998年热带印度洋偶极子从发展到成熟的特征,以及在相同大气异常强迫下1—12月大气气候基本态对印度洋偶极子的作用。结果表明,海洋表面的大气强迫对激发1997--1998年印度洋偶极子有重要作用;大气气候态对1997--1998年印度洋偶极子的强度有很大影响,其中9月的大气气候态最有利于印度洋偶极子达到最强;赤道印度洋上空风应力异常是1997--1998年印度洋偶极子形成的主要原因。     

1976/1977年前后热带印度洋海表温度年际异常的变化

基于1948～2005年NCEP/NCAR（美国大气研究中心/环境预测中心）再分析资料,讨论了1976/1977年前后的年代际气候变化对热带印度洋海表温度（SST）年际变率特征的影响,结果表明:在气候变化前后,ENSO都能导致热带印度洋SSTA（海表面温度异常）出现全海盆同号的变化,这种模态在冬季最强;气候变化前与变化后相比,该模态对该地区海温年际变率的方差贡献大22.1%, 达到最强的时间早2个月。气候变化前,秋季热带印度洋SSTA的主导年际变率模态表现为全海盆同号,变化后则表现为“偶极子模态”（IODM）。导致上述SSTA特征变化的重要原因,是气候变化前后印度洋风场对ENSO的响应不同。在气候变化前,与ENSO相关联的热带印度洋东风异常首先在夏季出现,而变化后则首先在春季出现,并且有一反气旋性环流异常维持在热带东南印度洋。     

Circulation Patterns Linked to the Positive Sub-Tropical Indian Ocean Dipole

The positive phase of the subtropical Indian Ocean dipole(SIOD) is one of the climatic modes in the subtropical southern Indian Ocean that influences the austral summer inter-annual rainfall variability in parts of southern Africa. This paper examines austral summer rain-bearing circulation types(CTs) in Africa south of the equator that are related to the positive SIOD and the dynamics through which specific rainfall regions in southern Africa can be influenced by this relationship. Four austral...     

Decadal Indian Ocean Dipolar Variability and Its Relationship with the Tropical Pacific

A robust decadal Indian Ocean dipolar variability(DIOD) is identified in observations and found to be related to tropical Pacific decadal variability(TPDV).A Pacific Ocean–global atmosphere(POGA) experiment,with fixed radiative forcing,is conducted to evaluate the DIOD variability and its relationship with the TPDV.In this experiment,the sea surface temperature anomalies are restored to observations over the tropical Pacific,but left as interactive with the atmosphere elsewhere.The TPDV-forced DIOD,represented as the ensemble mean of 10 simulations in POGA,accounts for one third of the total variance.The forced DIOD is triggered by anomalous Walker circulation in response to the TPDV and develops following Bjerknes feedback.Thermocline anomalies do not exhibit a propagating signal,indicating an absence of oceanic planetary wave adjustment in the subtropical Indian Ocean.The DIOD–TPDV correlation differs among the 10 simulations,with a low correlation corresponding to a strong internal DIOD independent of the TPDV.The variance of this internal DIOD depends on the background state in the Indian Ocean,modulated by the thermocline depth off Sumatra/Java.     

Time-Frequency Characteristics of the Relationships Between Tropical Indo-Pacific SSTs

In this study, several advanced analysis methods are applied to understand the relationships between the Nino-3.4 sea surface temperatures （SST） and the SSTs related to the tropical Indian Ocean Dipole （IOD）. By analyzing a long data record, the authors focus on the time-frequency characteristics of these relationships, and of the structure of IOD. They also focus on the seasonal dependence of those characteristics in both time and frequency domains. Among the Nino-3.4 SST, IOD, and SSTs over the tropical western Indian Ocean （WIO） and eastern Indian Ocean （EIO）, the WIO SST has the strongest annual and semiannual oscillations. While the Nino-3.4 SST has large inter-annual variability that is only second to its annual variability, the IOD is characterized by the largest semiannual oscillation, which is even stronger than its annual oscillation. The IOD is strongly and stably related to the EIO SST in a wide range of frequency bands and in all seasons. However, it is less significantly related to the WIO SST in the boreal winter and spring. There exists a generally weak and unstable relationship between the WIO and EIO SSTs, especially in the biennial and higher frequency bands. The relationship is especially weak in summer and fall, when IOD is apparent, but appears highly positive in winter and spring, when the IOD is unimportantly weak and even disappears. This feature reflects a caution in the definition and application of IOD. The Nino-3.4 SST has a strong positive relationship with the WIO SST in all seasons, mainly in the biennial and longer frequency bands. However, it shows no significant relationship with the EIO SST in summer and fall, and with IOD in winter and spring.     

A novel deep neural network model approach to predict Indian Ocean dipole and Equatorial Indian Ocean oscillation indices

Indian Ocean Dipole (IOD) and Equatorial Indian Ocean oscillation (EQUINOO) are important climatic system oscillation events in the Indian Ocean region that affects the Indian summer monsoon rainfall (ISMR). The prime focus of this study is to deliberate the influence of these events on ISMR and an attempt has been made to predict these events for future time scales using a Long short term memory (LSTM) deep learning model. LSTM is a special kind of recurrent neural network (RNN) which specializes in learning long-term dependencies and extracting important features. The features learnt by the model is then ranked using correlational analysis (linear and nonlinear). This approach helps in selecting decisive and imperative set of relevant predictors, which can be employed to predict IOD and EQUINOO. Nonlinear correlational identified predictors are found to forecast with greater precision as to their linear counterparts. The model-calibrated correlation coefficient for IOD and for EQUNIOO was 0.90 and 0.88 respectively at a lead of 5 months. Our proposed model was observed to work at par with the other existing models in terms of various statistical evaluation measures.     

赤道印度洋偶极子对重庆夏季降水的影响分析

利用重庆34个气象台站1961—2017年夏季降水量、NCEP/NCAR的再分析月平均高度场资料和海面温度资料，分析发现，上年秋季尤其是11月的赤道（热带）印度洋偶极子（tropical Indian Ocean dipole, TIOD）模态与重庆夏季降水存在正相关关系。通过前期海面温度对大气环流的影响分析，结果表明：上年11月TIOD和夏季500 hPa高度场的相关与重庆夏季降水和高度场的相关一致，显示出从高纬度到低纬度“+、-、+”的相关分布，反映出当上年11月TIOD正位相（负位相）时，次年夏季环流场表现出乌拉尔山阻塞高压明显（不明显）、中纬度30°～37°N低值系统活跃（不活跃），西太平洋副热带高压偏强（弱）、位置偏南（北）的重庆夏季典型的降水偏多环流特征；前期赤道太平洋ENSO暖事件和前期TIOD事件同时发生时，两个事件的作用相互叠加，使得西太平洋副热带高压加强西伸并且位置偏南，造成重庆夏季降水的异常偏多。     

Decadal and interannual variability of the Indian Ocean Dipole

This study investigates the decadal and interannual variability of the Indian Ocean Dipole （IOD）. It is found that the long-term IOD index displays a decadal phase variation. Prior to 1920 negative phase dominates but after 1960 positive phase prevails. Under the warming background of the tropical ocean, a larger warming trend in the western Indian Ocean is responsible for the decadal phase variation of the IOD mode. Due to reduced latent heat loss from the local ocean, the western Indian Ocean warming may be caused by the weakened Indian Ocean westerly summer monsoon. The interannual air-sea coupled IOD mode varies on the background of its decadal variability. During the earlier period （1948-1969）, IOD events are characterized by opposing SST anomaly （SSTA） in the western and eastern Indian Ocean, with a single vertical circulation above the equatorial Indian Ocean. But in the later period （1980-2003）, with positive IOD dominating, most IOD events have a zonal gradient perturbation on a uniform positive SSTA. However, there are three exceptionally strong positive IOD events （1982, 1994, and 1997）, with opposite SSTA in the western and eastern Indian Ocean, accompanied by an El Nifio event. Consequently, two anomalous reversed Walker cells are located separately over the Indian Ocean and western-eastern Pacific; the one over the Indian Ocean is much stronger than that during other positive IOD events.     

热带印度洋上层洋流的动力统计诊断

作者对热带印度洋上层洋流作了空间的三维经验正交函数(EOF)分析,揭示其与印度洋偶极子和ENSO循环的关系.结果表明:热带印度洋上层流场偏差的前3个三维模态都具有赤道俘获波的性质,第一、二、三模态均具有2～4年的准周期,第一、三模态分别对应于第一、二类印度洋偶极子模态,第二模态则是ENSO在印度洋的延伸模态.由三维EOF各模态可直接计算各模态的垂直速度场.印度洋海温的年际变化主要取决于印度洋地区的海气耦合状态,然而ENSO循环也有很大影响,其影响也许是通过沃克环流的啮合作用来实现的.     

热带印度洋偶极子事件期间印度洋大气的变化——大气流函数场和势函数场的分析

大气环流的变异是热带印度洋偶极子（IOD）事件研究中的一个重要问题。本文从风场旋度分量和散度分量角度出发,利用观测资料和大气环流模式,对IOD事件发生时热带印度洋海区上空的大气环流变化进行了分析,揭示出风场不同分量在IOD事件期间的变化特征。研究结果表明,热带印度洋大气环流系统在IOD事件期间,旋度分量和散度分量在垂直方向上呈现明显的一阶斜压形式,而在水平方向上呈现明显的对称分布特征。对低空（850 hPa）来说,无辐散流函数距平场在IOD事件正位相期间表现为关于赤道对称的一对反气旋式环流;无旋度分量在IOD事件正位相期间的响应表现为东印度洋辐散、西印度洋辐合;大气环流的两种分量场均可以在赤道印度洋地区产生距平意义下的纬向东风,正是这种形式的距平东风使得IOD事件依靠海气系统正反馈机制得以维持和发展。而高空（200 hPa）大气环流形式刚好与850 hPa相反。     

Warming in the northwestern Indian Ocean associated with the El Niño event

This paper investigates possible warming effects of an E1 Nifio event on the sea surface temperature anomaly （SSTA） in the northwestern Indian Ocean. Most pure positive Indian Ocean dipole （IOD） events （without an E1 Nifio event co-occurring） have a maximum positive SSTA mainly in the central Indian Ocean south of the equator, while most co-occurrences with an E1 Nifio event exhibit a northwest-southeast typical dipole mode. It is therefore inferred that warming in the northwestern Indian Ocean is closely related to the E1 Nifio event. Based on the atmospheric bridge theory, warming in the northwestern Indian Ocean during co-occurring cases may be primarily caused by relatively less latent heat loss from the ocean due to reduced wind speed. The deepened thermocline also contributes to the warming along the east coast of Africa through the suppressed upwelling of the cold water. Therefore, the E1 Nifio event is suggested to have a modulating effect on the structure of the dipole mode in the tropical Indian Ocean.     

印度洋偶极子与中国南方夏季降水的可能联系

利用1951—2000年NCEP/NCAR再分析资料、英国气象局全球海温资料、中国气象局整编的160站气温资料,采用EOF、合成、相关、奇异值分解等方法讨论了印度洋偶极子（Indian Ocean Di-pole,IOD）对南方夏季降水的影响。结果表明：印度洋海温异常,激发了大气环流的异常,从而导致南方降水异常。当印度洋海温一致变化时,南方降水分布也呈一致;当印度洋上海温距平偶极振荡时,长江流域与华南也出现偶极变化的现象。IOD正位相年,华南降水异常偏多;IOD负位相年,长江流域降水偏多。     

The Spatial Patterns of Initial Errors Related to the ＂Winter Predictability Barrier＂ of the Indian Ocean Dipole

In this study, using the Geophysical Fluid Dynamics Laboratory Climate Model version 2pl （GFDL CM2pl） coupled model, the winter predictability barrier （WPB） is found to exist in the model not only in the growing phase but also the Indian Ocean dipole （IOD） decaying phase of positive events due to the effect of initial errors. In particular, the WPB is stronger in the growing phase than in the decaying phase. These results indicate that initial errors can cause the WPB. The domi- nant patterns of the initial errors that cause the occurrence of the WPB often present an eastern-western dipole both in the surface and subsurface temperature components. These initial errors tend to concentrate in a few areas, and these areas may represent the sensitive areas of the predictions of positive IOD events. By increasing observations over these areas and eliminating initial errors here, the WPB phenomenon may be largely weakened and the forecast skill greatly improved.     

热带印度洋海温的年际异常及其海气耦合特征

利用长期观测资料分析了印度洋海温距平的年际变化及其海气耦合特征,结果表明热带印度洋海温距平的变化存在显著的距平符号东西一致的单极型和距平符号东西相反的偶极型,其出现的概率分别为67%和33%.偶极期间在热带印度洋和西太平洋海洋性大陆上空的大气中存在着明显的Walker类型的环流,具有显著的局地海气耦合特征,而单极期间这种特征不明显.大部分偶极子的生命史都非常短暂,其持续发展的主要特征表现为西印度洋正距平的增加、东移和东印度洋负距平的不断加强.单极的发展为整个海盆的不均匀增暖.单极向偶极的转换可以分为两类,第I类表现为赤道西印度洋海表温度距平由负转变成正后逐渐向东扩展,东印度洋的负距平范围逐步缩小;第II类是东南印度洋海表温度的负距平不断加强并略向西发展,而西部保持正距平.这种转换还经历了一个年代际变化,20世纪70年代中后期以前主要是第I类转换,以后则第II类占绝大多数.