共查询到17条相似文献，搜索用时 125 毫秒
1.
1Introduction Indian Ocean dipole(IOD),a kind of localcharacteristics of variation of sea surface temperature(SST)in the Indian Ocean,behaves with an oppo-site SSTA symbol between the east and west parts ofthe tropical Indian Ocean(Yu and Liu,2004;Rongand… 相似文献
2.
Temperature data at different layers of the past 45 years were studied and we found adiploe mode in the thermocline layer (DMT): anomalously cold sea temperature off the coast of Sumatra and warm sea temperature in the western Indian Ocean. First, we analyzed the temperature and the temperature anomaly (TA) along the equatorial Indian Ocean in different layers. This shows that stronger cold and warm TA signals appeared at subsurface than at the surface in the tropical Indian O-cean. This result shows that there may be a strong dipole mode pattern in the subsurface tropical Indian Ocean. Secondly we used Empirical Orthogonal Functions (EOF) to analyze the TA at thermocline layer. The first EOF pattern was a dipole mode pattern. Finally we analyzed the correlations between DMT and surface tropical dipole mode (SDM), DMT and Nino 3 SSTA, etc. and these correlations are strong. 相似文献
3.
On the basis of simple ocean data assimilation (SODA) reanalysis product, the interannual variability of upper-ocean Indonesian Throughflow (ITF) volume transport since the mid 1970s is examed. The wavelet analysis shows a second prominent interannual oscillation with a period of about 2~4 a. To reveal any relationship between this band-scale oscillation of upper-ocean ITF and the Indian Ocean dipole (IOD), the correlation and wavelet analyses are used. The correlation coefficient between the upper-ocean ITF and the IOD reaches -0.40 with upper-ocean ITF lagging an IOD index by eight months. The wavelet power spectrum of upper-ocean ITF shows similar structure to that of the IOD index. And the evolution of IOD is reproduced by lagged correlation between the upper-ocean ITF and the sea surface temperature anomaly (SSTA) over the Indian Ocean. It suggests that the 2~4 a band-scale oscillation of upper-ocean ITF is related uniquely to the IOD over the tropical Indian Ocean. 相似文献
4.
The asymmetry of sea surface temperature anomaly(SSTA)amplitudes between the positive and negative phases of the Indian Ocean dipole(IOD)are studied.The dynamic effects on it are analyzed using a hybrid coordinate ocean model(HYCOM).It suggests that the IOD is still asymmetric even when forced by a symmetric wind stress,and the asymmetry of the SSTA in the eastern pole is strong while that in the western pole is almost insignificant during the mature phase(September–November(SON)).Thus,the IOD asymmetry is primarily caused by the asymmetry in the IODE.A heat budget analysis is also conducted for the mixedlayer temperature in the eastern Indian Ocean(IODE),which indicates that a nonlinear ocean advection cools both the positive and negative IOD events.Therefore,the nonlinear ocean advection is responsible for the asymmetry of the IOD. 相似文献
5.
The change of sea surface temperature(SST) in the southern Indian Ocean(SIO) during the recent six decades has been analyzed based on oceanic reanalysis and model, as well as atmospheric data. The results show that a thermal regime shift in SIO during the 1960 s, which is not caught enough attentions, has been of equal magnitude to the linear warming since 1970. Empirical Orthogonal Function(EOF) analyses reveal that a thermal shift is combined with atmospheric changes such as the weakening of westerly during the period of 1960–1967. Inner dynamic connections can be defined that when the westerly winds turn weak, the anticyclonic wind circulation between westerly winds and the trade winds decreases, which further reduces the SST to a negative peak in this period. It is noted that the shifts in the 1960 s are also evident for Southern Hemisphere. For example, subtropical high and the entire westerly winds belt at high latitudes both change dramatically in the 1960 s. This large-scaled process maybe link to the change of southern annular mode(SAM). 相似文献
6.
Large-scale water transport is one of the key factors that affect sea surface temperature anomaly(SSTA) in the eastern equatorial Pacific(EEP).The relationship between the wave transport in the tropical Pacific and the SSTA in the EEP is examined by different methods,including band-pass filtering,period analysis,correlation analysis,significant analysis,and empirical orthogonal function(EOF) analysis.We have found that the eastward shift of the wave transport anomaly in the tropical Pacific,with a period of 2 a and enhancing the transport of warm waters from the western Pacific warm pool,precedes the increase of sea surface temperature(SST) in the EEP.The wave transport and the SSTA in the EEP have a maximum correlation of 0.65 with a time-lag of 6 months(transport variation precedes the temperature).The major periods(3.7 a and 2.45 a) of the wave transport variability,as revealed by the EOF analysis,appear to be consistent with the SSTA oscillation cycle in the EEP.Based on the first occurrence of a significant SSTA in the Ni?o 3 region(5°S–5°N,90°–150°W),two types of warm events are defined.The wave transport anomalies in two types present predominantly the west anomaly in the tropical Pacific,it is that the wave transport continues transport warm water from west to east before the onset of the warm event.The impact of wave-induced water transport on the SSTA in the EEP is confirmed by the heat flux of the wave transport.The wave transport exerts significant effect on the SSTA variability in the EEP and thus is not neglectable in the further studies. 相似文献
7.
ENSO and Indian Ocean dipole mode in three coupled GCMs 总被引：3，自引：0，他引：3
The simulated ENSO and Indian Ocean dipole (IOD) mode events from three coupled GCMs with the same oceanic component model, CPMO, CPM1 and FGCMO, are compared. The only difference between the CPMO and the CPM 1 comes from the coupling scheme at the air-sea interface, e.g., flux anomaly coupling scheme for the former and direct coupling scheme for the latter. The FGCMO is also a directly coupled GCM, but its atmospheric component model is the NCAR CCM3 rather than the NCC T63AGCM as in the other two coupled GCMs CPMO and CPM1. All three coupled models show E1Nifio-like interannual variability in the tropic Pacific, but the FGCMO shows a bit stronger amplitude of E1 Nifio events and both the CPMO and the CPM1 show much weaker amplitude than the observed one. In the meanwhile, the quasi-biennial variability dominates in the FGCMO simulations, and 4 a and longer periods are significant in both the CPMO and CPM 1 models. As the E1 Nifio events simulated by the three coupled GCMs, the simulated Indian Ocean dipole mode events are stronger from the coupled model FGCMO and weaker from both the CPMO and CPM1 models than those from observation. 相似文献
8.
Positive SST anomalies usually appear in remote ocean such as the China seas during an ENSO event.By analyzing the monthly data of HadISST from 1950 to 2007,it shows that the interannual component of SST anomalies peak approximately 10 months after SST anomalies peak in the eastern equatorial Pacific.As the ENSO event progresses,the positive SST anomalies spread throughout the China seas and eastward along the Kuroshio extension.Atmospheric reanalysis data demonstrate that changes in the net surface heat flux entering into the China seas are responsible for the SST variability.During El Ni o,the western north Pacific anticyclone is generated,with anomalous southwester lies prevailing along the East Asian coast.This anticyclone reduces the mean surface wind speed which decreases the surface heat flux and then increases the SST.The delays between the developing of this anticyclone and the south Indian Ocean anticyclone with approximately 3–6 months cause the 2–3 months lag of the surface heat flux between the China seas and the Indian Ocean.The northwestern Pacific anticyclone is the key process bridging the warming in the eastern equatorial Pacific and that in the China seas. 相似文献
9.
Interannual variability(IAV) in the barrier layer thickness(BLT) and forcing mechanisms in the eastern equatorial Indian Ocean(EEIO) and Bay of Bengal(BoB) are examined using monthly Argo data sets during 2002–2017. The BLT during November–January(NDJ) in the EEIO shows strong IAV, which is associated with the Indian Ocean dipole mode(IOD), with the IOD leading the BLT by two months. During the negative IOD phase, the westerly wind anomalies driving the downwelling Kelvin waves increase the isothermal layer depth(ILD). Moreover, the variability in the mixed layer depth(MLD) is complex. Affected by the Wyrtki jet, the MLD presents negative anomalies west of 85°E and strong positive anomalies between 85°E and 93°E. Therefore, the BLT shows positive anomalies except between 86°E and 92°E in the EEIO. Additionally, the IAV in the BLT during December–February(DJF) in the BoB is also investigated. In the eastern and northeastern BoB, the IAV in the BLT is remotely forced by equatorial zonal wind stress anomalies associated with the El Ni?o-Southern Oscillation(ENSO). In the western BoB, the regional surface wind forcing-related ENSO modulates the BLT variations. 相似文献
10.
A correlation analysis is performed to investigate the relationship between El Nino-Southern Oscillation (ENSO) and the Antarctic oscillation (AAO) at the quasi-quadrennial (QQ) timescale.It is found that the cold tongue index (CTI) and the AAO index (AAOI) are negatively correlated with about a 7-month lead-time,while they are positively correlated with about a 15-month lag-time.To further explore this relationship,complex empirical orthogonal function analysis is employed in the QQ sea level pressure (SLP) anomalies from 1951 to 2002.The results indicate that,during the ENSO cycle,there exists one kind of global tropical wave of wavenumber 1 (GTW1) propagating eastward.With the traveling of GTW1,the tropical SLP anomaly tends to intrude into the southern mid-latitudes.Accordingly,three strong signals travel synchronously along the circumSouth-Pacific path,and a relatively weak signal extends eastward and poleward over the South Ocean in the Atlantic-Indian Ocean sector.Following the propagation of these signals,the AAO phase tends to be reversed progressively.As a result,there exists an evident lead-lag correlation between CTI and AAOI.It can be concluded that ENSO plays a key role in the phase transition of AAO at the QQ timescale.It is also noticed that this regular relationship is only evident in the canonical ENSO events,for which sea surface temperature (SST) anomalies extend westward from the tropical eastern Pacific.On the other hand,the similar relationships are not found among those atypical ENSO events for which SST anomalies spread eastward from the central Pacific,such as the 1982-1983 ENSO event. 相似文献
11.
东亚冬夏季风对热带印度洋秋季海温异常的响应 总被引：5，自引：0，他引：5
利用多年的Reynolds月平均海表温度资料和NCEP/NCAR全球大气再分析资料,分析了热带印度洋秋季海表温度距平(SSTA)与后期东亚冬夏季风强度变化的关系。结果表明,热带印度洋秋季SSTA的主要模态是全区一致(USB)型和偶极子(IOD)型,USB型模态主要代表热带印度洋秋季SSTA的长期变化趋势,而IOD型模态主要反映热带印度洋秋季SSTA的年际变化。热带印度洋秋季海温气候变率中既存在着明显的ENSO信号,也有独立于ENSO的变率特征,独立于ENSO的热带印度洋秋季SSTA变化的主要模态仍是USB型和IOD型。前期秋季USB模态与东亚冬季风及东亚副热带夏季风之间为负相关关系;与前期正(负)IOD模态相对应,南海夏季风强度偏弱(强),而东亚副热带夏季风强度偏强(弱)。USB型和IOD型模态对后期东亚冬、夏季风强度变化的影响是独立于ENSO的,但ENSO起到了调节二者相关显著程度的作用。 相似文献
12.
热带印度洋偶极子事件和副热带印度洋偶极子事件的联系 总被引：6，自引：0，他引：6
分别对热带印度洋偶极子事件和副热带印度洋偶极子事件的时间序列进行了周期分析。结果表明,热带印度洋偶极子事件的主要振荡周期为2 a和4 a,而副热带偶极子事件的主要振荡周期为8 a;对整个印度洋海区的海表温度距平进行2~8 a的带通滤波,发现未滤波之前,2个事件的相关性很低,而在进行了滤波之后,2个事件的相关性有很大的提高,并且当副热带印度洋偶极子事件超前热带印度洋偶极子事件9个月时,二者具有很强的相关性。通过对温度场和风场的分析,从物理上解释了2个事件之间的相互联系。 相似文献
13.
回顾了对南印度洋副热带海气相互作用的研究,总结了南印度洋偶极子事件背景下的气候变化。印度洋海表温度的方差表明南印度洋是整个印度洋海温变率最强的区域,年际海温变化最显著的特征就是海温呈现西南东北向的偶极子型分布,被称为南印度洋偶极子(Southern Indian Ocean Dipole, SIOD)。南印度洋海温偶极子的形成主要是受大尺度大气环流调整的影响。南印度洋副热带反气旋环流异常引起了印度洋热带东风异常和副热带西风异常的变化,影响了潜热通量、上升流和Ekman热输送,进而引起了海温变化。SIOD对热带和热带外大气环流也有影响,尤其会影响亚洲夏季风降水异常,例如我国的降水异常和南印度洋偶极子海温异常具有显著相关关系。此外,SIOD模态所引起的经向环流异常与南海、菲律宾地区的反气旋环流异常也有紧密联系。 相似文献
14.
印度洋海表温度的变化及其对印度夏季季风降水影响的诊断研究 总被引：8，自引：1，他引：8
对印度洋海表温度(SST)的主要特征及变化趋势进行分析,并研究了其与印度夏季季风降水(ISMR)和季风环流的关系,揭示出:从北印度洋到南半球中高纬度印度洋,SST最显著的变化模态是全海盆一致的变化,近50 a来总体趋势是上升的,在1976,1986年以及1996年间分别有一次跳跃性增温,与太平洋SST变化趋势基本一致.除了长期变化趋势外,南印度洋中高纬度比热带地区有更显著的模态分布.在印度洋SST升温的背景下,ISMR具有逐渐减少的趋势,但两者相关较弱.印度洋SST发生跳跃后的不同阶段,许多海区SST与ISMR相关均发生变化,但在春季,热带外南印度洋具有一对相对稳定区,其分布与EOF分析的第2模态相似.根据它们的分布,文中定义了春季南半球偶极子(SIOD),在正SIOD(PSIOD)情况下印度降水偏多,而负SIOD(NSIOD)则反之.环流分析表明,PSIOD(NSIOD)通过与大气的相互作用,对夏季马斯克林高压具有增强(减弱)作用,进而使得索马里越赤道气流增强(减弱),在印度地区低空产生异常的辐合(辐散),高层辐散(辐合),从而影响印度季风环流,使得印度季风降水偏多(少). 相似文献
15.
波浪诱导的水体输运会对海洋产生大尺度影响。结合波浪大尺度效应的研究现状和印度洋涌浪分布的事实,利用ECMWF-CERA20的波浪、海表面温度(SST)及风场数据,采用多种统计分析方法,研究了波浪输运与赤道印度洋SST的潜在关系。结果显示:中高纬度波浪输运异常的低频信号在空间、周期上与赤道SST异常均有高度相似性;Stokes漂流纬向、经向异常呈现出南—北、东—西的振荡,其第二模态时间序列与印度洋偶极子(Indian Ocean Dipole,IOD)指数存在强相关性并在La Ni a次年的负IOD事件中达到最高:相关系数在ACC区域纬向异常超前6个月时接近0.6,中纬度区域经向异常在超前3个月时达到0.7。在La Ni a次年的负IOD中,波浪经向输运异常的相位(超前三个月)与赤道SST异常相位呈全年反相位,经向浪致输运异常造成的东—西热量输运差异对赤道SST异常分布有不可忽略的贡献。 相似文献
16.
赤道印度洋海温偶极子的气候影响及数值模拟研究 总被引：5，自引：0，他引：5
在分析研究印度洋海温变化的基本特征,尤其是在分析赤道印度洋海温偶极子及其影响的基础上,利用IAP9L大气环流模式模拟研究了赤道印度洋海温偶极子异常对亚洲季风区气候变化的影响.其结果表明,印度洋、亚洲南部和东部地区的流场和降水都对印度洋海温异常的强迫作用比较敏感.正位相印度洋偶极子的作用使得赤道东印度洋-印度次大陆南部-阿拉伯海一带出现距平东风,孟加拉湾-中南半岛出现异常反气旋性环流,从而对减少印度南部和中南半岛南部、印度尼西亚地区的夏季降水,以及增加中国南部和东非的夏季降水有十分重要的作用.与此相反,负位相印度洋偶极子的作用将使赤道东印度洋附近出现西风异常,孟加拉湾-中南半岛存在异常气旋性环流,从而使印度次大陆和中南半岛南部、印度尼西亚地区的降水增加,使中国西部和孟加拉湾的降水减少.数值模拟结果与资料分析相互映证,切实地揭示了印度洋海温偶极子对亚洲季风区的气候变化有重要影响. 相似文献
17.
一个简单的印-太海气耦合模式 总被引：1，自引：0，他引：1
本文基于一层半海洋模式和SVD(Singular Value Decomposition)大气模式构建了一个简单的海气耦合模式, 引入热通量的作用, 分析ENSO影响热带印度洋地区的动力学和热力学耦合过程。其中, 使用统计大气模式, 由给定的SST(Sea Surface Temperature)异常得到风应力异常, 进而驱动海洋环流反馈给SST, 完成海气的动力耦合; 使用块体经验公式由SST异常和风场异常计算热通量异常, 直接作用于SST, 实现海气的热力学耦合。动力耦合实验揭示, 太平洋第一EOF(Empirical Orthogonal Functions) 模态与观测基本吻合。并且模拟Ni?o 3指数存在两年左右的谱峰周期。这说明, 海气动力学耦合是ENSO生成的主要因素。热力耦合的加入是为了考察ENSO影响热带印度洋的热力学效应。同时考虑动力和热力耦合的实验结果表明, 热带太平洋暖异常中心更加接近观测值, 热带印度洋出现海盆尺度海温正异常。这意味着热带太平洋的ENSO信号通过海气界面的热量交换实现对热带印度洋地区的遥强迫, 导致印度洋海盆尺度增暖。 相似文献