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1.
利用中等复杂程度的2.5层海洋模式和大气环流模式ECHAM4组成的海气耦合模式,模拟分析了热带太平洋和印度洋的气候变化以及年际变化特征。该模式较好地模拟了ENSO现象的空间分布及其不规则的周期变化特征,以及热带印度洋的主要变化特征。通过数值试验,初步研究了太平洋耦合过程对印度洋年际变化的影响。结果显示,当存在太平洋耦合过程时,模拟的印度洋偶极子(IOD)正(负)事件的发生频率比无太平洋耦合情形时有所减少(增加)。该变化是太平洋耦合变量通过海气耦合过程对印度洋海表面平均风场进行调整,进而引起热带印度洋温跃层深度东西梯度改变的结果。  相似文献   

2.
Decadal and interannual variability of the Indian Ocean Dipole   总被引:2,自引:1,他引:1  
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.  相似文献   

3.
华莉娟  俞永强  尹宝树 《大气科学》2010,34(6):1046-1058
热带印度洋偶极子 (Indian Ocean Dipole) 是印度洋海域内海洋和大气环流年际变化的主要特征模态之一, 在热带海气耦合系统中起到非常重要的作用。同热带太平洋的ENSO现象类似, 热带印度洋偶极子也呈现出显著的不对称性。本文利用中国科学院大气物理研究所发展的全球海洋环流模式, 在观测风应力距平的强迫下, 评估了模式对热带印度洋季节变化、 热带印度洋偶极子 (IOD) 模态及其不对称性的模拟能力, 并且通过数值试验分析了IOD模态不对称性特征及其对气候平均态的影响。对照观测资料, 模式较好地再现了热带印度洋SST在季风驱动下的季节变化特征。在年际时间尺度上, 模式不仅能够再现IOD指数的变化趋势, 而且可以成功模拟出IOD模态的空间分布特征, 即表层和次表层海温在西印度洋表现为正异常, 在东印度洋表现为负异常。可见, 对于热带印度洋而言, IOD模态主要是对风应力异常的响应。热带印度洋海温与Niño3.4指数的相关性分析表明, 模式能够模拟出超前热带太平洋ENSO现象2~4个月时海温的偶极子型分布, 但是不能模拟出滞后ENSO现象2个月左右的全海盆增暖模态, 可能是因为模式试验中没有考虑热通量年际异常的强迫。同时, 模式模拟的IOD模态具有同观测结果相类似的不对称性, 进一步的敏感性试验表明风应力的不对称性对偶极子指数的不对称性贡献较小, 次表层及以下海温的不对称性可能主要受到海洋内部非线性动力过程的影响。通过数值试验, 本文还发现热带印度洋海温的不对称性对气候平均态会有影响, 而这种不对称性长期积累后, 会导致上层热带印度洋温度层结趋于稳定状态。  相似文献   

4.
影响南海夏季风爆发年际变化的关键海区及机制初探   总被引:1,自引:7,他引:1  
利用1958—2011年NCEP/ NCAR再分析资料和ERSST资料,采用Lanczos时间滤波器、相关分析、回归分析、合成分析和交叉检验等方法,研究了影响南海夏季风爆发年际变化的关键海区海温异常的来源与可能机制。结果表明,前冬(12—2月)热带西南印度洋和热带西北太平洋是影响南海夏季风爆发年际变化的关键海区。冬季热带西南印度洋(热带西北太平洋)的异常增暖是由前一年夏季El Ni?o早爆发(强印度季风异常驱动的行星尺度东-西向环流)触发、热带印度洋(西北太平洋)局地海气正反馈过程引起并维持到春季。冬季热带西北太平洋反气旋性环流(气旋性环流)及印度洋(热带西北太平洋)的暖海区局地海气相互作用使得印度洋(热带西北太平洋)海温异常维持到春末。春季,逐渐加强北移到10 °N附近的低层大气对北印度洋(热带西北太平洋)暖海温异常响应的东风急流(异常西风)及南海-热带西北太平洋维持的反气旋性环流(气旋性环流)异常,使得南海夏季风晚(早)爆发。   相似文献   

5.
Summary In this study, we perform experiments with a coupled atmosphere-ocean general circulation model (CGCM) to examine ENSO’s influence on the interannual sea-surface temperature (SST) variability of the tropical Indian Ocean. The control experiment includes both the Indian and Pacific Oceans in the ocean model component of the CGCM (the Indo-Pacific Run). The anomaly experiment excludes ENSO’s influence by including only the Indian Ocean while prescribing monthly-varying climatological SSTs for the Pacific Ocean (the Indian-Ocean Run). In the Indo-Pacific Run, an oscillatory mode of the Indian Ocean SST variability is identified by a multi-channel singular spectral analysis (MSSA). The oscillatory mode comprises two patterns that can be identified with the Indian Ocean Zonal Mode (IOZM) and a basin-wide warming/cooling mode respectively. In the model, the IOZM peaks about 3–5 months after ENSO reaches its maximum intensity. The basin mode peaks 8 months after the IOZM. The timing and associated SST patterns suggests that the IOZM is related to ENSO, and the basin-wide warming/cooling develops as a result of the decay of the IOZM spreading SST anomalies from western Indian Ocean to the eastern Indian Ocean. In contrast, in the Indian-Ocean Run, no oscillatory modes can be identified by the MSSA, even though the Indian Ocean SST variability is characterized by east–west SST contrast patterns similar to the IOZM. In both control and anomaly runs, IOZM-like SST variability appears to be associated with forcings from fluctuations of the Indian monsoon. Our modeling results suggest that the oscillatory feature of the IOZM is primarily forced by ENSO.  相似文献   

6.
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.  相似文献   

7.
The tropical Indian Ocean climate variability is investigated using an artificial neural network analysis called self-organizing map (SOM) for both observational data and coupled model outputs. The SOM successfully captures the dipole sea surface temperature anomaly (SSTA) pattern associated with the Indian Ocean Dipole (IOD) and basin-wide warming/cooling associated with ENSO. The dipole SSTA pattern appears only in boreal summer and fall, whereas the basin-wide warming/cooling appears mostly in boreal winter and spring owing to the phase-locking nature of these phenomena. Their occurrence also undergoes significant decadal variation. Composite diagrams constructed for nodes in the SOM array based on the simulated SSTA reveal interesting features. For the nodes with the basin-wide warming, a strong positive SSTA in the eastern equatorial Pacific, a negative Southern Oscillation, and a negative precipitation anomaly in East Africa are found. The nodes with the positive IOD are associated with a weak positive SSTA in the central equatorial Pacific or positive SSTA in the eastern equatorial Pacific, a positive (negative) sea level pressure anomaly in the eastern (western) tropical Indian Ocean, and a positive precipitation anomaly over East Africa. The warming in the central equatorial Pacific appears to correspond to El Niño Modoki discussed recently. These results suggest usefulness of SOM in studying large-scale ocean–atmosphere coupled phenomena.  相似文献   

8.
林爱兰  LI Tim  FU Xiouhu 《大气科学》2009,33(6):1123-1136
利用分辨率较高的SINTEX-F(Scale INTeraction EXperiment-FRCGC) 海气耦合模式, 进行多组长时间积分模拟和理想试验, 分析研究热带印度洋海气耦合对夏季大气环流气候态的影响。主要结果有: (1) 热带印度洋海气相互作用使热带东印度洋产生明显的东风变化, 使热带中西太平洋赤道北部产生气旋性切变变化。 (2) 印度洋海气相互作用对大气环流气候态的影响绝大部分由于大气对海气相互作用的响应存在年际变化正负距平不对称性造成, 这种年际变化不对称性包括正偶极子与负偶极子的不对称、 海盆宽度正异常与海盆宽度负异常的不对称。 (3) 年际和季节内两种时间尺度海气相互作用对印度洋关键区大气环流平均态都有影响, 约各占60%、 40%; 季节内尺度海气相互作用对太平洋近赤道区大气环流平均态有重要影响; 年际尺度海气相互作用对太平洋赤道外地区大气环流平均态有重要影响。热带印度洋年际尺度、 季节内尺度海气相互作用对大气环流气候态的影响, 都存在年际变化以及年际变化正负距平不对称性。这两种尺度海气相互作用主要通过年际变化正负距平不对称性而对大气环流平均态产生影响。  相似文献   

9.
刘琳  于卫东  刁新源 《大气科学》2008,32(5):1083-1093
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。  相似文献   

10.
The variability of the Indian Ocean on interannual and decadal timescales is investigated in observations, coupled model simulation and model experiment. The Indian Ocean Dipole (IOD) mode was specifically analyzed using a data-adaptive method. This study reveals one decadal mode and two interannual modes in the sea surface temperature (SST) of the IOD. The decadal mode in the IOD is associated with the Pacific Decadal Oscillation (PDO) of the North Pacific SST. The two interannual modes are related to the biennial and canonical components of El Niño-Southern Oscillation (ENSO), consistent with previous studies. This study hypothesizes that the relation between the Indian Ocean and the North Pacific on decadal scale may be through the northerly winds from the western North Pacific. The long simulation of Community Climate System Model version 4 also indicates the presence of IOD modes associated with the decadal PDO and canonical ENSO modes. However, the model fails to simulate the biennial ENSO mode in the Indian Ocean. The relation between the Indian Ocean and North Pacific Ocean is further supported by the regionally de-coupled model experiment.  相似文献   

11.
肖莺  张祖强  何金海 《大气科学》2010,34(3):483-494
本文利用交叉谱方法, 将印度洋偶极子 (简称IOD) 与ENSO的相关关系分解到不同的时间尺度上来分析, 进而通过对海气耦合过程的初步分析, 讨论了不同时间尺度上IOD与ENSO的相互作用。结果表明, IOD与ENSO在准1~2年、 准3年、 准4年等三个时间尺度上存在显著相关, 同时, IOD还存在一个独立于ENSO的模态, 主要表现在准8个月时间尺度上。从海气相互作用的角度看, 在与ENSO相关的三个特征时间尺度上, IOD年际变率主要通过引发热带印度洋纬向风异常并且东传到太平洋, 从而引起热带中东太平洋海温的年际变率。与ENSO相对独立的IOD模态则没有类似的纬向风异常东传过程。此外, 在上述四个不同时间尺度上, 产生IOD变率的印度洋海气耦合过程不尽相同, 各具特点。  相似文献   

12.
Impacts on the coupled variability of the Indo-Pacific by including the effects of surface currents on surface stress are explored in four extended integrations of an experimental version of the Bureau of Meteorology??s coupled seasonal forecast model POAMA. The first pair of simulations differs only in their treatment of momentum coupling: one version includes the effects of surface currents on the surface stress computation and the other does not. The version that includes the effect of surface currents has less mean-state bias in the equatorial Pacific cold tongue but produces relatively weak coupled variability in the Tropics, especially that related to the Indian Ocean dipole (IOD) and El Ni?o/Southern Oscillation (ENSO). The version without the effects of surface currents has greater bias in the Pacific cold tongue but stronger IOD and ENSO variability. In order to diagnose the role of changes in local coupling from changes in remote forcing by ENSO for causing changes in IOD variability, a second set of simulations is conducted where effects of surface currents are included only in the Indian Ocean and only in the Pacific Ocean. IOD variability is found to be equally reduced by inclusion of the local effects of surface currents in the Indian Ocean and by the reduction of ENSO variability as a result of including effects of surface currents in the Pacific. Some implications of these results for predictability of the IOD and its dependence on ENSO, and for ocean subsurface data assimilation are discussed.  相似文献   

13.
印度洋偶极子(IOD)是热带印度洋秋季最强的年际变率,它会通过大气遥相关来影响世界许多地区的气候。目前耦合气候模式对IOD预报技巧仍非常有限,远低于热带太平洋的厄尔尼诺事件的预报技巧。鉴于深度学习具备高效的数据处理能力,本文使用深度学习中的卷积神经网络(CNN)与人工神经网络中的多层感知机(MLP)处理再分析观测资料,从而进行IOD预报。由于当预报初始时刻为北半球冬春季时,对IOD事件的预报技巧较低。因此,为探索CNN的预报能力,本文仅使用三种(1~3月、2~4月、3~5月)初始时刻的海表温度异常(SSTA)作为CNN的输入数据,来预报其后续七个月的印度洋偶极子指数(DMI)、东极子指数(EIOI)和西极子指数(WIOI)。结果表明:CNN对DMI、EIOI和WIOI的有效预测时效均超过了6个月。与现在耦合动力模式相比,CNN模型能够显著提升DMI和EIOI的预报技巧,但对WIOI的预报技巧提升有限。当预报提前时间为7个月时,CNN模型能够比较准确地预报1994、1997与2019年的IOD事件。由于CNN模型能够更好地抓住印度洋海温的空间结构特征,它对IOD事件的预报技巧比传统神经网络MLP高。  相似文献   

14.
The Indian Ocean sea surface temperature (SST) variability has been represented with the two dominant variability modes: the Indian Ocean basin-wide (IOBW) and dipole (IOD) modes. Here we investigate future changes of the two modes together with mean state and El Niño and Southern Oscillation (ENSO) relationship under the anthropogenic global warming using 20 coupled models that participated in the phase five of Coupled Model Intercomparison Project by comparing the historical run from 1950 to 2005 and the RCP 4.5 run from 2050 to 2099. The five best models are selected based on the evaluation of the 20 models’ performances in simulating the two modes and Indian Ocean basic state for the latest 56 years. They are capable of capturing the IOBW and IOD modes in their spatial distribution, seasonal cycle, major periodicity, and relationship with ENSO to some extent. The five best models project the significant changes in the Indian Ocean mean state and variability including the two dominant modes in the latter part of twenty-first century under the anthropogenic warming scenario. First, the annual mean climatological SST displays an IOD-like pattern change over the Indian Ocean with enhanced warming in the northwestern Indian Ocean and relatively weaker warming off the Sumatra–Java coast. It is also noted that the monthly SST variance is increased over the eastern and southwestern Indian Ocean. Second, the IOBW variability on a quasi-biennial time scale will be enhanced due to the strengthening of the ENSO–IOBW mode relationship although the total variance of the IOBW mode will be significantly reduced particularly during late summer and fall. The enhanced air-sea coupling over the Indian-western Pacific climate in response to El Nino activity in the future projection makes favorable condition for a positive IOD while it tends to derive relatively cold temperature over the eastern Indian Ocean. This positive IOD-like ENSO response weakens the relationship between the eastern Indian Ocean and El Nino while strengthens the relationship with western Indian Ocean. Third, the IOD mode, intrinsic coupled mode of the Indian Ocean may not be changed appreciably under the anthropogenic global warming.  相似文献   

15.
The impact of Indian Ocean Dipole (IOD) mode events on austral surface air temperature (SAT) variability was studied both by statistical analysis of observed/assimilated data and experiments with a mechanistic baroclinic atmospheric model.During the period of analysis (January 1958–December 1999), IOD events had the strongest impact on SAT anomalies during austral spring and hence, the analysis was focussed on this season. IOD events induced large scale, intercontinental correlations of SAT anomalies amongst Australia, Africa and South America. Surface temperature consistently rose (fell) abnormally and coherently in the subtropical regions of these continents during positive (negative) IOD events. Variability during non-IOD years was considerably weaker than during IOD years over these regions.Analysis of stream function anomalies at the 200 hPa level (source: NCEP/NCAR reanalysis) revealed a Rossby-wave train extending from the eastern Indian Ocean into the subtropical regions of the Pacific and Atlantic oceans. Further, the diagnosed Rossby-wave activity flux emanated from the eastern Indian Ocean and propagated along the subtropical and subpolar jet streams qualitatively in agreement with linear wave dynamics. Experiments with idealized forcing in a primitive equation mechanistic atmospheric model suggested that tropical convective anomalies in the Indian Ocean during IOD events likely affects the austral subtropics through stationary Rossby-wave propagation.  相似文献   

16.
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.  相似文献   

17.
中低纬海气相互作用的耦合模态变化研究   总被引:2,自引:0,他引:2  
利用1948—2003年的NCEP再分析资料和英国气象局Hadley气候预测和研究中心的海表面温度资料,从整体分析地球中低纬三大洋海气耦合系统的角度出发,使用SVD方法研究中低纬海气相互作用的耦合变化。结果表明,中低纬海气相互作用是一个有机的耦合整体,其变化不管从年际还是年代际上都存在耦合相关性,这一点给我们提出了一个新的研究全球范围海气耦合变化的思路。提取的海气耦合基本模态的正、负异常年份的海温和风场异常合成分析结果显示,当赤道东太平洋的海水偏暖时,热带印度洋和热带大西洋的海水也偏暖,热带西太平洋直至中纬度太平洋的海温总体偏冷。就印度洋而言非洲大陆以南30~50 °S的大片海区存在明显的海温负异常。北美洲大陆的东岸30 °N以北和南美洲大陆的东岸30 °S以南的海区都为明显的海温负异常。当赤道东太平洋的海水偏冷时各大海区的海温分布情况反之。   相似文献   

18.
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.  相似文献   

19.
围绕中国科学院战略性先导科技专项"泛第三极环境变化与绿色丝绸之路建设"之子课题"热带印度洋环流动力与季风相互作用及其影响",从热带印度洋上层海洋环流、盐度变异对印度洋典型海气耦合过程的影响、印度洋海气相互作用及其对泛第三极水汽输送的影响方面回顾了热带印度洋环流动力与季风相互作用的研究进展.针对国内外研究发展的现状,提出热带印度洋上层经向、纬向、垂向流系间三维联动机制,海盆尺度热盐再分配对局地海-气模态变异的响应和反馈机制,热带印度洋典型海气耦合模态对泛第三极地区气候变化的影响机理等关键科学问题亟待解决.开展该子课题研究的最终目标是:全面认识和理解热带印度洋上层环流体系,加深印度洋海洋环流动力与海气相互作用及其对泛第三极经向水汽输送作用的理解,提高泛第三极地区气候预测水平,提升丝绸之路海上观测航道监测保障能力,从而为"一带一路"倡议和"21世纪海上丝绸之路"建设服务.  相似文献   

20.
The singular value decomposition (SVD) of air-sea interaction in the tropical western,central,and eastern Pacific,and the tropical Atlantic and Indian Oceans has been conducted by using the NCEP/NCAR 40-year reanalysis 1000 hPa monthly wind field and COADS monthly sea surface temperature (SST).Comparisons of the results suggest that these areas can be divided into three types from the viewpoint of air-sea interaction:tropical central-eastern Pacific belongs to monistic type,in which ENSO is the sole important process;tropical western Pacific and Indian Oceans belong to dualistic type,in which in addition to ENSO.there should be an another important process;tropical Atlantic Ocean belongs to pluralistic type,in which the process is complicated and the ENSO cycle is not evident.  相似文献   

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