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1.
用偏最小二乘(Partial Least Square,PLS)回归方法分析了 1979~2018年影响亚马逊旱季(6~8月)降水年际变率的热带海面温度模态.第一海面温度模态解释了总方差的64%,主要表现为前期亚马逊雨季(12月至次年2月)至旱季(6~8月)热带东太平洋La Ni?a型海面温度异常演变.12月至次年2月...  相似文献   

2.
我国华南3月份降水异常的可能影响因子分析   总被引:4,自引:3,他引:1  
利用1951~2005年华南地区3月份的降水资料、NOAA海温资料、Ni?o3.4指数和NCEP再分析资料,分析了华南3月份降水异常与同期环流场、全球海温场的关系,从环流和海温的角度揭示了华南3月份降水异常的可能原因。结果表明,当华南3月份降水偏多(少)时,在对流层中低层,北太平洋海区存在气旋(反气旋)性环流异常,西太平洋及南海海面上存在反气旋(气旋)性环流异常,这样的环流异常有利(不利)于东南暖湿气流与北方东部异常冷空气在华南地区形成水汽辐合,导致降水显著增多(减少)。进一步的分析表明,ENSO和北印度洋及南海附近海温是影响华南3月份降水异常的重要外强迫因子,ENSO对华南3月降水异常的影响是通过影响春季西太平洋副热带高压和低层风场异常实现的,而北印度洋及南海附近海温对华南3月降水异常的影响则是通过垂直环流场异常和低层风场以及西太平洋副热带高压异常来实现的。  相似文献   

3.
中国西北春季降水与太平洋海温相关特征的研究   总被引:11,自引:1,他引:11  
应用奇异值分解对中国西北3-5月的降水资料与太平洋海温进行了相关分析。结果表明:北太平洋与中国西北春季降水有较好的相关,在太平洋海温3-5月呈El Nino峰值位相时,除青海高原外,中国西北地区降水偏水;而当12-2月的海温呈El Nino成熟位相型时,次年西北地区3-5月的降水偏多;而当北太平洋海温12-2月呈La Nina型时,次年青海高原区3-5月的降水偏少。太平洋海温的西风漂流区、黑潮区、加利福尼亚海流区和北赤道海流区的海温的变化与中国西北地区3-5月的降水之间有明显的相关关系。其中黑潮区12-2月的海温与新疆北部的降水呈反相变化,即当黑潮区的海温低时,西北地区的新疆北部降水偏多。中国西北地区3-5月的降水对太平洋温变化的响应区主要的新疆北部、青海高原及其东北侧、沙漠盆地、河西西部等地。  相似文献   

4.
Winter-spring precipitation in southern China tends to be higher (lower) than normal in El Niño (La Niña) years during 1953–1973. The relationship between the southern China winter-spring precipitation and El Niño-Southern Oscillation (ENSO) is weakened during 1974–1994. During 1953–1973, above-normal southern China rainfall corresponds to warmer sea surface temperature (SST) in the equatorial central Pacific. There are two anomalous vertical circulations with ascent over the equatorial central Pacific and ascent over southern China and a common branch of descent over the western North Pacific that is accompanied by an anomalous lower-level anticyclone. During 1974–1994, above-normal southern China rainfall corresponds to warmer SST in eastern South Indian Ocean and cooler SST in western South Indian Ocean. Two anomalous vertical circulations act to link southern China rainfall and eastern South Indian Ocean SST anomalies, with ascent over eastern South Indian Ocean and southern China and a common branch of descent over the western North Pacific. Present analysis shows that South Indian Ocean SST anomalies can contribute to southern China winter-spring precipitation variability independently. The observed change in the relationship between southern China winter-spring rainfall and ENSO is likely related to the increased SST variability in eastern South Indian Ocean and the modulation of the Pacific decadal oscillation.  相似文献   

5.
The differences in tropical Pacific sea surface temperature (SST) expressions of El Niño-Southern Oscillation (ENSO) events of the same phase have been linked with different global atmospheric circulation patterns. This study examines the dynamical forcing of precipitation during October–December (OND) and March–May (MAM) over East Africa and during December–March (DJFM) over Central-Southwest Asia for 1950–2010 associated with four tropical Pacific SST patterns characteristic of La Niña events, the cold phase of ENSO. The self-organizing map method along with a statistical distinguishability test was used to isolate La Niña events, and seasonal precipitation forcing was investigated in terms of the tropical overturning circulation and thermodynamic and moisture budgets. Recent La Niña events with strong opposing SST anomalies between the central and western Pacific Ocean (phases 3 and 4), force the strongest global circulation modifications and drought over the Northwest Indian Ocean Rim. Over East Africa during MAM and OND, subsidence is forced by an enhanced tropical overturning circulation and precipitation reductions are exacerbated by increases in moisture flux divergence. Over Central-Southwest Asia during DJFM, the thermodynamic forcing of subsidence is primarily responsible for precipitation reductions, with moisture flux divergence acting as a secondary mechanism to reduce precipitation. Eastern Pacific La Niña events in the absence of west Pacific SST anomalies (phases 1 and 2), are associated with weaker global teleconnections, particularly over the Indian Ocean Rim. The weak regional teleconnections result in statistically insignificant precipitation modifications over East Africa and Central-Southwest Asia.  相似文献   

6.
Most of the annual rainfall over India occurs during the Southwest (June?CSeptember) and Northeast (October?CDecember) monsoon periods. In March 2008, however, Southern peninsular India and Sri Lanka received the largest rainfall anomaly on record since 1979, with amplitude comparable to summer-monsoon interannual anomalies. This anomalous rainfall appeared to be modulated at intraseasonal timescale by the Madden Julian Oscillation, and was synchronous with a decaying La Ni?a event in the Pacific Ocean. Was this a coincidence or indicative of a teleconnection pattern? In this paper, we explore factors controlling rainfall over southern India and Sri Lanka between January and April, i.e. outside of the southwest and northeast monsoons. This period accounts for 20% of annual precipitation over Sri Lanka and 10% over the southern Indian states of Kerala and Tamil Nadu. Interannual variability is strong (about 40% of the January?CApril climatology). Intraseasonal rainfall anomalies over southern India and Sri Lanka are significantly associated with equatorial eastward propagation, characteristic of the Madden Julian Oscillation. At the interannual timescale, we find a clear connection with El Ni?o-Southern Oscillation (ENSO); with El Ni?os being associated with decreased rainfall (correlation of ?0.46 significant at the 98% level). There is also a significant link with local SST anomalies over the Indian Ocean, and in particular with the inter-hemispheric sea surface temperature (SST) gradient over the Indian Ocean (with colder SST south of the equator being conducive to more rainfall, correlation of 0.55 significant at the 99% level). La Ni?as/cold SSTs south of the equator tend to have a larger impact than El Ni?os. We discuss two possible mechanisms that could explain these statistical relationships: (1) subsidence over southern India remotely forced by Pacific SST anomalies; (2) impact of ENSO-forced regional Indian Ocean SST anomalies on convection. However, the length of the observational record does not allow distinguishing between these two mechanisms in a statistically significant manner.  相似文献   

7.
本文详细分析了厄尔尼诺/拉尼娜与重庆夏季典型涝/旱年之间的不对称关系。结果表明:(1)厄尔尼诺和拉尼娜对重庆次年夏季降水有不对称影响。厄尔尼诺年的大气环流异常与重庆夏季典型涝年的特征一致;然而,拉尼娜年的大气环流异常与重庆夏季典型旱年的特征不一致。(2)从冬季到次年夏季,厄尔尼诺对重庆夏季典型涝年的影响主要是通过热带印度洋海温的‘接力效应’维持的。  相似文献   

8.
利用1981—2016年的中国160站降水资料、OISST海温资料和NCEP/NCAR大气环流资料,对比分析了中等强度El Nio和2015/2016超强El Nio对中国东南部、江淮流域和西南地区冬春季降水影响的异同。结果表明:在中等强度El Nio的冬季,偏暖的赤道中东太平洋海表面温度(Sea Surface Temperature,SST)所激发的西北太平洋和日本附近的异常反气旋环流,其异常的西南风会加强南海—西北太平洋的水汽向中国东部输送,造成中国东南部和江淮流域的降水一致偏多。2015/2016超强El Nio的冬季,赤道中东太平洋SST的强度异常偏强,中国东部异常偏冷的表面气温和对流层低层温度加强大陆冷高压,长江流域及其以北地区受异常强的北风控制,从而造成中国东南部降水增多、江淮流域降水减少。在2015/2016超强El Nio事件衰减位相的春季,中国东南部和西南部降水的增加主要归因于异常偏暖的西北印度洋和东南印度洋SST的作用。经CAM5模式试验证明,西北印度洋异常偏暖的SST引起了北印度洋的异常西南风,激发了孟加拉湾—西北太平洋的异常反气旋,加强了印度洋和南海—西北太平洋的水汽向中国西南和东南部输送。此外,东南印度洋异常偏暖的SST还会激发局地异常上升运动,通过经向垂直环流加强南海—西北太平洋异常下沉运动,诱使中国东南部的上升运动加强,导致降水增多。  相似文献   

9.
There is a continuous and relatively stable rainy period every spring in southern China (SC). This spring precipitation process is a unique weather and climate phenomenon in East Asia. Previously, the variation characteristics and associated mechanisms of this precipitation process have been mostly discussed from the perspective of seasonal mean. Based on the observed and reanalysis datasets from 1982 to 2021, this study investigates the diversity of the interannual variations of monthly precipitation in spring in SC, and focuses on the potential influence of the tropical sea surface temperature (SST) anomalies. The results show that the interannual variations of monthly precipitation in spring in SC have significant differences, and the correlations between each two months are very weak. All the interannual variations of precipitation in three months are related to a similar western North Pacific anomalous anticyclone (WNPAC), and the southwesterlies at the western flank of WNPAC bring abundant water vapor for the precipitation in SC. However, the WNPAC is influenced by tropical SST anomalies in different regions each month. The interannual variation of precipitation in March in SC is mainly influenced by the signal of El Ni?o-Southern Oscillation, and the associated SST anomalies in the equatorial central-eastern Pacific regulate the WNPAC through the Pacific-East Asia (PEA) tele-connection. In contrast, the WNPAC associated with the interannual variation of precipitation in April can be affected by the SST anomalies in the northwestern equatorial Pacific through a thermally induced Rossby wave response. The interannual variation of precipitation in May is regulated by the SST anomalies around the western Maritime Continent, which stimulates the development of low-level anomalous anticyclones over the South China Sea and east of the Philippine Sea by driving anomalous meridional vertical circulation.  相似文献   

10.
近年来随着对赤道东太平洋海温异常特征的深入认识,赤道太平洋海温变化的不同类型对气候的影响逐渐引起人们的关注。本文分析了东部和中部型El Ni?o发展年海温分布特征及其对中国夏季降水影响的差异和机理。结果表明:(1)东部型El Ni?o年的海温正距平中心发展快且强度比中部型El Ni?o年强。(2)两类El Ni?o发展年,中国夏季降水分布差异最大的是东北和华北地区,呈相反的分布,华南地区只是变化幅度不同,江淮流域降水一致偏少。(3)Walker环流分布的差异是两类El Ni?o年夏季降水分布差异的重要原因,其位于西太平洋地区下沉支的强弱以及有无上升支的分布,对西太副高和我国水汽的输送有明显影响。(4)500hPa位势高度场的遥相关波列以及高低层大气的垂直运动也是造成两类El Ni?o年中国夏季降水分布差异的重要原因。  相似文献   

11.
El Ni?o(厄尔尼诺)事件对东亚和南亚次年夏季降水影响及其机理已经得到充分研究,但其对夏季青藏高原降水是否有显著影响还不清楚。本研究根据1950年后El Ni?o事件次年衰减期演变速度,对比分析衰减早型与晚型El Ni?o事件对南亚季风区与青藏高原夏季(6~9月)季节平均和月平均气候影响差异。结果显示在衰减早型次年夏季热带太平洋海温转为La Ni?a(拉尼娜)型且持续发展,引起Walker环流上升支西移,印度洋和南亚季风区上升运动加强,同时激发异常西北太平洋反气旋(NWPAC),阿拉伯海异常气旋和伊朗高原异常反气旋性环流响应,增加7~9月对流层偏南气流和印度洋水汽输送,导致南亚和高原西南侧降水偏多。衰减晚型次年6~8月热带太平洋El Ni?o型海温仍维持,印度洋暖异常海温显著,对应的印度洋和南亚季风区上升运动较弱,NWPAC西伸控制南亚季风区,阿拉伯海和中西亚分别呈现异常反气旋和气旋性环流,导致青藏高原西风加强,水汽输送减少,南亚北部和高原降水一致偏少。结果表明:(1)El Ni?o显著影响次年青藏高原西南部夏季季节和月平均降水与温度,是印度和高原西南部夏季降水显著相关的重要原因;(2)El Ni?o衰减快慢速度对南亚和青藏高原西南部夏季季节内降水的影响有着重要差异。  相似文献   

12.
The seasonal patterns of total cloud amount (TCA) responsible for El Ni?o/La Ni?a-Southern Oscillation (ENSO) Sea Surface Temperature (SST) anomalies were investigated using the ISCCP-D2 cloud and NOAA OI.v2 SST datasets for the period of July 1983 to June 2008. The results show three main ENSO-sensitive regions obtained by spatial overlapping of seasonal correlations, two in the western tropical Pacific and one in the central tropical Pacific. These regions were named WTP1, WTP2, and CTP. In all three regions, except the JJA (June?CAugust) WTP2, the TCA changes were significantly correlated with the Ni?o 3.4 anomalies during the four seasons (December?CJanuary?CFebruary (DJF), March?CApril?CMay, JJA, and September?COctober?CNovember (SON)). Remarkable differences in the seasonal variability of TCA were observed in these regions. In the WTP1, the DJF TCA always remained the highest value among the four seasons in all years. In the WTP2, the maximum TCA occurred during JJA in most years. In the CTP, the extreme value of TCA was mainly observed in DJF or SON near the peak time of ENSO. Seasonal cross-correlation analyses also showed significant relations between TCA and Ni?o 3.4 SST in these regions, which may be helpful for forecasting the evolution of ENSO.  相似文献   

13.
利用逐月台站观测降水、HadISST1.1海温和ERA5大气再分析资料,研究了前冬印度洋海盆一致模(Indian Ocean Basin,IOB)对华南春季降水(SCSR)与ENSO关系的影响,并分析了IOB通过调控ENSO环流异常进而影响SCSR的可能机制。结果表明:当前冬El Ni?o(La Ni?a)与IOB暖(冷)位相同时发生时,SCSR显著增多(减少);而当El Ni?o或La Ni?a单独发生而IOB处于中性时,SCSR并无明显多寡倾向。其原因在于,当El Ni?o与IOB暖相位并存时,前冬热带印度洋和赤道中东太平洋均为正海温异常(Sea-Surface Temperature Anomaly,SSTA),且印度洋SSTA强度可一直维持至春季。在对流层低层,春季赤道中东太平洋的正SSTA激发出异常西北太平洋反气旋(Western North Pacific Anticyclone,WNPAC)。而热带印度洋的正SSTA在副热带印度洋激发出赤道南北反对称环流,赤道以北的东风异常有利于异常WNPAC西伸;赤道以南的西风异常与来自赤道西太平洋的东风异常在东印度洋辐合上升,气流至西北太平洋下沉,形成经向垂直环流,有利于春季WNPAC维持。在对流层高层,印度洋的正SSTA在热带印度洋上空激发出位势高度正异常,随之形成的气压经向梯度加强了东亚高空副热带西风急流,进而在华南上空形成异常辐散环流。WNPAC的西伸和加强可为华南提供充足的水汽,同时高空辐散在华南引发水汽上升运动,共同导致SCSR正异常。而若El Ni?o发生时IOB处于中性状态,El Ni?o相关的SSTA衰减较快,春季WNPAC不显著,SCSR无明显多寡趋势。   相似文献   

14.
利用1951~2005年华南4、5月份降水资料、NOAA海温资料以及NCEP再分析资料,对华南4、5月份降水年代际变化的特征、及其所对应的大尺度环流以及与中西太平洋海温的关系作了分析。结果表明,华南4、5月份降水均在1970年代初期发生显著的年代际转变,从之前的降水偏少转变为降水偏多。华南4月份降水与前一年7~11月份的中西太平洋海温、华南5月份降水与当年2~5月份的中西太平洋海温有显著的负相关。在4、5月份年代际降水偏少(多)时期,前期中西太平洋海温偏暖(冷);同期亚洲大陆南部及非洲大陆的海平面气压显著偏低(高),北太平洋海区海平面气压偏高(低);我国华南上空存在反气旋性(气旋性)环流异常,我国华南地区北边界存在显著的南(北)风异常,造成华南地区北边界异常水汽输出增强(减弱)。同时,我国大陆对流层中上层大气显著偏暖(冷),东亚高空急流显著偏北(南),副热带高压偏弱(强)偏东(西),向华南地区输送的水汽减少(增加),从而在华南地区形成异常的水汽辐散(辐合),最终导致华南地区4、5月份降水的减少(增加)。  相似文献   

15.
中国南方旱涝年际年代际变化及成因研究进展   总被引:3,自引:2,他引:1       下载免费PDF全文
基于气候变暖背景下中国南方旱涝时空格局发生变化的基本事实,回顾了中国南方降水的主要模态和旱涝年际年代际尺度变化特征及其成因的主要研究进展。研究指出,El Ni?o发展年,中国南方大部地区降水偏少,尤其在长江及其以南地区,而El Ni?o衰减年则相反。强调热带印度洋海盆一致偏暖使西太平洋副热带高压增强,位置偏南,导致西北太平洋反气旋异常的形成和维持,有利于中国南方降水加强。青藏高原冬春季积雪多,春夏季高原感热和上升运动较弱,导致夏季风偏弱,有利于长江流域降水偏多易涝,反之亦然。关于多因子协同作用对南方旱涝影响,指出南方旱涝是多因子协同影响的结果, 如菲律宾反气旋受冬季青藏高原积雪、El Ni?o与前期春季印度洋海温等多因子协同影响。南方旱涝与影响因子发生了年际关系的年代际变化,在气候变暖背景下,随着后者的年代际转型,其对前者的影响关系也发生了年代际变化。因此,提出了应该关注南方旱涝的预测策略与方法,提高旱涝预测技巧。  相似文献   

16.
一种新的El Niño海气耦合指数   总被引:6,自引:1,他引:5  
利用1980~2010 年月平均Hadley中心海表温度、美国全球海洋资料同化系统(GODAS)海洋温度和NCEP/NCAR 大气环流再分析资料,通过对2 个海洋要素(海表温度SST、上层热含量HC)和5 个大气要素(海平面气压SLP、850 hPa 风场、200 hPa 速度势和对外长波辐射OLR)的多变量经验正交函数展开(multivariate EOF,简称MV-EOF)探讨了热带太平洋的主要海气耦合特征。结果表明,MV-EOF 分析的前两个耦合模态分别很好地对应了传统型El Ni?o 和El Ni?o Modoki 的海气耦合特征:传统型El Ni?o 期间,伴随着赤道中东太平洋SST 的异常增温,HC、SLP、200 hPa 速度势等要素总体呈东西反相的“跷跷板”变化,低层850 hPa 赤道中太平洋出现较强西风距平,西北太平洋上空为反气旋性异常环流;El Ni?o Modoki 期间,SST 持续增温和HC 正异常中心均显著西移至中太平洋,低层SLP 和高空200 hPa 速度势均呈现纬向三极型异常分布,低层异常强西风向西移至暖池东部,西北太平洋上空呈现气旋性异常环流。两类El Ni?o 的海气耦合特征存在显著差异,较优的El Ni?o 指数应不仅可以客观描述和区分El Ni?o 现象本身,更要紧密联系两类事件所产生的大气响应。以往定量表征El Ni?o 年际变化的指标大多立足于SST 或SLP,本文选取HC 作为研究指标,定义了一组新的El Ni?o 指数HCEI 和HCEMI。较以往基于SST 的El Ni?o 指数,HCEI 和HCEMI 不仅能更清楚地表征和区分两类El Ni?o(如1993 年的传统型El Ni?o 和2006 年的El Ni?o Modoki),而且能更好地反映和区分两类El Ni?o 与大气间的海气耦合特征,为El Ni?o的监测和短期气候预测工作提供了一个新工具。  相似文献   

17.
利用全国160站逐月降水资料、74项环流指数、HadISST月平均海温资料以及NCEP/NCAR月平均再分析资料,对比分析了两类ENSO事件衰减阶段中国东部夏季降水及相应大气环流的差异,并探讨其可能成因。结果表明:1)EP型El Ni?o(La Ni?a)事件次年夏季,中国东部降水由北至南呈正负正(负正负)的三极型反相分布;CP型El Ni?o(La Ni?a)事件次年夏季,中国东部降水由北至南呈正负(负正)的偶极型反相分布;2)El Ni?o事件次年夏季,西北太平洋副热带高压(以下简称西太副高)及南亚高压均偏强,EP型西太副高偏西、南亚高压偏东,CP型西太副高范围更大、强度更强;La Ni?a事件次年夏季,西太副高及南亚高压强度偏弱,CP型强于EP型但弱于气候平均;3)El Ni?o事件期间西北太平洋上存在异常反气旋,EP型位置偏南,强度更强,持续时间更长,CP型位置偏北,范围更大;La Ni?a事件期间,西北太平洋区域至中国东南部存在异常气旋,EP型异常气旋的强度及范围均不及CP型;4)两类El Ni?o事件期间异常反气旋的差异可能与印度洋海盆增暖及太平洋海温持续性偏冷有关;两类La Ni?a事件期间异常气旋的差异可能由赤道西太平洋海温持续偏暖造成。  相似文献   

18.
After its maturity, El Ni?o usually decays rapidly in the following summer and evolves into a La Ni?a pattern. However, this was not the case for the 2018/19 El Ni?o event. Based on multiple reanalysis data sets, the space-time evolution and triggering mechanism for the unusual second-year warming in late 2019, after the 2018/19 El Ni?o event, are investigated in the tropical Pacific. After a short decaying period associated with the 2018/19 El Ni?o condition, positive sea surface temperature anomalies (SSTAs) re-intensified in the eastern equatorial Pacific in late 2019. Compared with the composite pattern of El Ni?o in the following year, two key differences are evident in the evolution of SSTAs in 2019. First, is the persistence of the surface warming over the central equatorial Pacific in May, and second, is the re-intensification of the positive SSTAs over the eastern equatorial Pacific in September. Observational results suggest that the re-intensification of anomalous westerly winds over the western and central Pacific, induced remotely by an extreme Indian Ocean Dipole (IOD) event, acted as a triggering mechanism for the second-year warming in late 2019. That is, the IOD-related cold SSTAs in the eastern Indian Ocean established and sustained anomalous surface westerly winds over the western equatorial Pacific, which induced downwelling Kelvin waves propagating eastward along the equator. At the same time, the subsurface ocean provided plenty of warm water in the western and central equatorial Pacific. Mixed-layer heat budget analyses further confirm that positive zonal advection, induced by the anomalous westerly winds, and thermocline feedback played important roles in leading to the second-year warming in late 2019. This study provides new insights into the processes responsible for the diversity of El Ni?o evolution, which is important for improving the physical understanding and seasonal prediction of El Ni?o events.  相似文献   

19.
利用CMIP5提供的25个工业革命前控制试验(piControl)模拟数据评估了热带太平洋两类El Ni(n)o(即东部EP和中部CP型El Ni(n)o)的海表盐度(SSS)空间结构差异及其与海表温度(SST)和降水的关系.结果表明:(1)大部分模式能够模拟出EP和CP型空间结构,两类El Ni(n)o中的SST、降水和SSS的空间技巧评分依次减小,其中,EP型SST和降水水平分布的模拟能力强于CP型,SSS则为CP型强于EP型,CP型模拟的SST、SSS和降水异常中心位置较EP型偏西且强度偏弱;(2) CP型SST、降水和SSS三者空间分布的线性一致性比EP型好,即在CP型中,SST影响降水,进而影响SSS,同时SSS对SST调制的反馈机制较显著,而对于EP型,由于海洋水平平流和非局地效应等因素,使得SST与SSS空间对应较差;(3)依据多模式模拟的SSS空间技巧评分高低将CMIP5模式分为两类,技巧评分低(高)的模式模拟的SST、SSS和降水异常值的中心位置偏西(偏东),引起中心位置偏移的原因与模式模拟赤道太平洋冷舌的位置有关,即赤道太平洋冷舌西伸显著,导致发生El Ni(n)o时SST异常变暖西伸显著,进而使得降水异常和SSS异常位置偏西.同时,技巧评分低的模式还易出现向东南延伸的负SSS异常,原因是双赤道辐合带的东南分支过于明显,即降水偏多,导致SSS偏淡.SSS变化会影响ENSO的发生发展.因此,探讨两类El Ni(n)o盐度分布的差异及相关物理场的关系,为提高模式的气候模拟和预测提供有益的借鉴.  相似文献   

20.
The role of tropical Atlantic sea surface temperature (SST) anomalies during ENSO episodes over northeast Brazil (Nordeste) is investigated using the CPTEC/COLA Atmospheric General Circulation Model (AGCM). Four sets of integrations are performed using SST in El Niño and La Niña (ENSO) episodes, changing the SST of the Atlantic Ocean. A positive dipole (SST higher than normal in the tropical North Atlantic and below normal in the tropical South Atlantic) and a negative dipole (opposite conditions), are set as the boundary conditions of SST in the Atlantic Ocean. The four experiments are performed using El Niño or La Niña SST in all oceans, except in the tropical Atlantic where the two phases of the SST dipole are applied. Five initial conditions were integrated in each case in order to obtain four ensemble results. The positive SST dipole over the tropical Atlantic Ocean and El Niño conditions over the Pacific Ocean resulted in dry conditions over the Nordeste. When the negative dipole and El Niño conditions over the Pacific Ocean were applied, the results showed precipitation above normal over the north of Nordeste. When La Niña conditions over Pacific Ocean were tested together with a negative dipole, positive precipitation anomalies occurred over the whole Nordeste. Using the positive dipole over the tropical Atlantic, the precipitation over Nordeste was below average. During La Niña episodes, the Atlantic Ocean conditions have a larger effect on the precipitation of Nordeste than the Pacific Ocean. In El Niño conditions, only the north region of Nordeste is affected by the Atlantic SST. Other tropical areas of South America show a change only in the intensity of anomalies. Central and southeast regions of South America are affected by the Atlantic conditions only during La Niña conditions, whereas during El Niño these regions are influenced only by conditions in the Pacific Ocean.  相似文献   

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