两类ENSO对中国北方冬季平均气温和极端低温的不同影响

利用1961-2012年观测、再分析资料以及全球大气环流模式数值试验,探讨了中国北方冬季平均气温对于不同类型（即东部型和中部型）ENSO事件的气候响应,并分析了不同类型ENSO对极端低温事件的可能影响,重点关注了北大西洋涛动（NAO）在其中的桥梁作用。结果表明,ENSO信号能通过调制北大西洋地区的大气环流改变欧亚中高纬度地区的纬向温度平流输送和西伯利亚高压的强度,进而影响中国北方冬季气温,由于不同类型ENSO事件海温分布的差异,这种影响具有明显的非线性特征。在两类厄尔尼诺和东部型拉尼娜事件冬季,北大西洋涛动均呈现负位相,不利于北大西洋的暖湿空气向欧亚大陆输送,西伯利亚高压偏强,因而中国北方地区较气候态偏冷。中部型厄尔尼诺和东部型拉尼娜事件冬季气温负异常的显著区域分别位于东北大范围地区、内蒙古河套附近;东部型厄尔尼诺事件冬季显著的冷异常信号仅局限于黑龙江北部与大兴安岭地区;而中部型拉尼娜事件冬季虽伴随北大西洋涛动正位相,但其空间结构向西偏移,对下游中国北方地区气温的直接影响并不显著,可能受局地信号干扰较大。数值试验再现了北大西洋涛动以及中国北方冬季气温对不同类型ENSO的响应,进一步佐证了上述结论。此外,两类厄尔尼诺事件冬季中国东北地区日平均气温容易偏低,极端低温事件的发生频次增多;而两类拉尼娜事件对极端低温的影响较弱。      

ENSO对次年夏季西北太平洋降水的非对称影响

通过对1979—2018年Ni?o3.4指数和第二年夏季西北太平洋（Northwest Pacific, WNP）降水异常的分析发现,厄尔尼诺强度与第二年夏季WNP降水异常存在显著的负相关关系,而与拉尼娜并没有显著的相关关系。将厄尔尼诺和拉尼娜分为东部型和中部型以后发现,东部型厄尔尼诺和拉尼娜对次年夏季WNP降水的影响不对称,东部型厄尔尼诺强度与次年夏季WNP降水异常为负相关关系,而东部型拉尼娜与次年夏季WNP降水异常关系并不显著。相反,中部型厄尔尼诺和拉尼娜对WNP次年夏季降水的影响较为对称。不管是厄尔尼诺还是拉尼娜,其强度与次年夏季WNP降水异常相关性均非常显著。分析速度势和流函数场以及它们所对应的海表面温度场发现,强东部型厄尔尼诺、强中部型厄尔尼诺、强/弱东部型拉尼娜和强中部型拉尼娜事件中WNP降水主要受风场的辐合辐散控制,其降水异常区与辐合辐散中心对应得很好。而弱东部型厄尔尼诺和弱中部型厄尔尼诺事件中的WNP降水主要与中太平洋海温Gill型对称加热有关,在辐合中心西边产生一对气旋,导致了西北太平洋降水的正异常。而对于弱中部型拉尼娜,由于副热带中太平洋加热的作用,在西北太平洋区东...     

ENSO发展和衰亡阶段中非线性项的作用

利用哈得来中心海表温度（HadISST）和美国马里兰大学海洋同化（Simple Ocean Data Assimilation,SODA 2.2.4）数据集,分析了1979-2015年赤道太平洋地区海表温度异常的偏度特征;并通过诊断混合层热量收支平衡方程着重探讨了非线性项在不同类型ENSO发展衰亡过程中起的不同作用。研究结果表明,中部型厄尔尼诺和拉尼娜事件的偏度很弱,且符号相反、强度相当,而东部型厄尔尼诺的偏度为很强的正值,即ENSO的强度非对称性主要来自东部型厄尔尼诺的贡献,中部型厄尔尼诺和拉尼娜的海表温度异常呈现准对称特征。在ENSO事件的发展阶段,非线性项对东部型厄尔尼诺和拉尼娜均有很强的正贡献,而对中部型厄尔尼诺的正贡献相对较弱,这会促进东部型厄尔尼诺强度的增强而抑制拉尼娜振幅的发展,从而有利于ENSO强度非对称性的产生;在ENSO事件的衰亡阶段,非线性项对拉尼娜维持正贡献但强度大为减弱,对东部型厄尔尼诺和中部型厄尔尼诺的衰减则分别起促进和抑制作用,这可能是东部型厄尔尼诺衰减速度较快而中部型厄尔尼诺衰减速度较慢的重要原因之一。      

厄尔尼诺事件对中国夏季水汽输送和降水分布影响的新研究

基于1961-2016年中国地面台站降水观测资料和多种再分析资料,分析了东部型和中部型两类厄尔尼诺事件对中国夏季水汽输送和降水的不同影响。结果表明：（1）厄尔尼诺事件对中国夏季降水的影响在发生当年和次年有明显的不同,主要影响是在其发生的次年,中国大部分地区的夏季降水明显偏多。（2）东部型厄尔尼诺事件当年夏季,西北太平洋副热带高压（副高）偏东偏弱,水汽输送条件较弱,不利于中国大范围降水的发生;中部型事件当年夏季,低纬度印度洋和西太平洋蒸发异常偏强,来自阿拉伯海、孟加拉湾和西北太平洋向华南地区的水汽输送和净水汽收支增加,有利于华南地区降水的异常增多。（3）东部型厄尔尼诺事件次年夏季,副热带太平洋蒸发异常偏强,副高西伸,由于东亚-太平洋（EAP）遥相关型的建立,副高西侧的强西南气流将来自太平洋蒸发的大量水汽持续输送至中国中东部地区。此外,在东亚-太平洋遥相关型影响下中高纬度地区建立了亚洲双阻型环流,其间的低槽冷涡与上游阻高之间的强偏北气流有利于北冰洋的水汽持续输送到西北和华北北部地区,中国大部分地区净水汽收支均增加,中国北方和南方地区的降水均产生了明显的同步性增多响应,形成了南北两条异常雨带。中部型厄尔尼诺事件次年夏季,副高较常年偏西且偏北,来自太平洋蒸发的大量水汽输送到江淮地区,使其净水汽收支增加和降水偏多。因此,厄尔尼诺事件的发生不仅对长江流域和淮河流域等南方地区的降水有重要影响,对华北、东北和西北地区的降水异常也有相当的作用。     

影响化州的寒潮强冷空气特征及其与ENSO事件的关系

利用化州1959年以来的气温资料与ENSO资料,分析了化州近54a中寒潮及强冷空气爆发的天气气候特征和在全球大气环流和天气气候异常的大背景下,ENSO事件对影响化州的寒潮及强冷空气异常活动产生的作用,得到一些相关性的结论.统计分析表明,化州出现寒潮的拉尼娜影响年,其时拉尼娜事件爆发型均为东部型,强度中等或偏强,而化州出现寒潮的厄尔尼诺影响年,其时厄尔尼诺事件爆发型均为中部型,强度中等或偏弱.化州寒潮和强冷空气活动多的年份一般出现在中等或弱的厄尔尼诺事件期间或非ENSO年期间.少寒潮和强冷空气活动容易发生在拉尼娜事件影响年期间以及非ENSO事件影响年期间.     

ENSO对全球及中国农业气象灾害和粮食产量影响研究进展

厄尔尼诺-南方涛动（ENSO）是全球性年际气候变率的主导模式,ENSO通过影响全球的大气环流,对全球许多地区的气温、降水和由气温、降水异常导致的农业气象灾害（如低温冷害、旱涝灾害等）及农作物生长发育、产量形成产生影响。综述前人对ENSO影响研究进展,所得主要结论如下：1）从全球范围来看,厄尔尼诺年,全球气温偏高,陆地平均年降水量减少;拉尼娜年,全球气温偏低,陆地平均年降水量增加;不同季节和不同类型EN-S0对全球气温和降水的影响有差异。在中国,厄尔尼诺年,大部分地区冬春季气温偏高,夏秋季气温偏低,拉尼娜年,大部分地区冬春季气温偏低,夏秋季气温偏高,不同年代下ENSO对我国气温的影响有所变化;厄尔尼诺年,全国降水以偏少为主,且ENSO对我国不同地区降水的影响与ENSO类型、发展阶段和发生年代有关。2）厄尔尼诺年,我国北方大部分地区初霜冻偏早,吉林延迟型冷害增加,黑龙江低温冷害多发,华北和西北地区易发生干旱;拉尼娜年,我国北方大部分地区初霜冻偏晚,西北地区易发生洪涝。气候变暖背景下,厄尔尼诺与东北低温的关系更为复杂。ENSO循环的不同阶段会影响我国旱涝的地区分布。3）厄尔尼诺年和拉尼娜年,全球水稻、小麦和玉米均以减产为主,不同国家和地区影响各异。其中,厄尔尼诺年,美国、巴西和阿根廷玉米产量增加,中国和津巴布韦玉米产量降低,印度小麦和水稻及菲律宾、印度尼西亚的雨季水稻均减产;拉尼娜年,美国、巴西和阿根廷玉米减产,印度小麦和水稻增产。在中国,厄尔尼诺对水稻和小麦产量的影响程度与当地灌溉条件有关。以上结论可为我国防御低温冷害、干旱等农业气象灾害,保障粮食安全,制定科学政策提供理论参考。     

厄尔尼诺/拉尼娜与重庆次年夏季涝/旱的非对称关系

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。     

厄尔尼诺和拉尼娜事件对广东气候异常影响的研究进展

从台风、降水(旱涝)和气温(寒冷、冷空气)等角度,对近年来厄尔尼诺和拉尼娜事件对广东气候异常的影响研究进行了综述,可以得到厄尔尼诺和拉尼娜事件对广东气候会产生不同的影响,分析结果表明:(1)台风:厄尔尼诺年登陆台风频数少于拉尼娜年,拉尼娜(厄尔尼诺)当年10月份热带气旋频数偏多(少)、生命史偏长(短)、影响时间较长(短)、强度较强(弱),即厄尔尼诺当年及次年台风季偏短,拉尼娜年当年台风季偏长;(2)降水:厄尔尼诺年,广东冬、春、夏季降水明显偏多,拉尼娜年,冬、春降水偏少不明显,但中等及强厄尔尼诺事件以及连续性的厄尔尼诺事件和夏季发生的厄尔尼诺事件,广东易发生旱灾;(3)气温、寒潮、冷空气:研究结论不一致。然而即便是厄尔尼诺事件,其不同的分布型、强度和发生时间等也都会对广东气候异常产生不同影响,且具有很强的区域性。     

厄尔尼诺/拉尼娜与重庆次年夏季涝/旱的非对称关系（英文）

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。     

厄尔尼诺现象与我国温度

本文分析了厄尔尼诺现象和反厄尔尼诺现象与中国温度的关系。结果表明,在厄尔尼诺当年的春夏季我国温度容易偏冷,冷月出现的频率明显高于气候概率;在厄尔尼诺当年的秋冬季至次年春季我国温度偏暖的可能性大,暖月出现的频率明显高于气候概率。反厄尔尼诺年的情况则正好相反,即当年春夏季我国温度容易偏暖,当年秋冬季至次年春季容易偏冷。进一步分析表明,厄尔尼诺暖水期,我国温度的分布型与黑潮区海温当年春夏季偏低、当年秋冬季至次年春季偏高的季节变化密切相关。     

广西极端降水事件气候态及其对ENSO的潜在响应

本研究利用日本人文与自然研究所和日本气象厅气象研究所发布的0.25°×0.25°亚洲区域高解析度观测集成降水数据（APHRODITE),并结合NOAA发布的Niño3.4区海温指数和美国国家环境预报中心NCEP再分析数据,分析了广西地区不同极端降水事件的气候平均态和气候倾向率的时空分布,并通过快速傅里叶变换方法分析了不同极端降水逐月区域平均值的气候变率。在此基础上,对ENSO不同位相的周期交替对广西不同极端降水的逐月区域平均值周期的影响及其滞后性进行交叉相关分析,并得出不同极端指标对不同ENSO位相的潜在响应及其显著性特征。结果表明1951-2007年广西全区除无雨日数呈现增加趋势外,暴雨日数、连续干期和湿期均呈减少趋势。不同极端指标在3~7 a的傅里叶谱周期内均呈现显著的周期性变率,说明其与ENSO的潜在联系。交叉相关分析表明Niño3.4指数与无雨日数（暴雨日数）和连续干（湿）期具有显著的负（正）相关特征,其滞后期约为6~18个月,但不同极端指标与ENSO相关程度具有差异。通过滞后6~18个月的平均Ni?o3.4指数所确定的不同ENSO位相,发现相对于拉尼娜冷位相,广西无雨日数（暴雨日数）和连续干（湿）期在厄尔尼诺暖位相下总体呈现减少（增多),但该响应的统计显著性在全区分布不普遍。这可能与湿静力稳定度、低层温度露点差与中层湿位涡正压项等热力因子的响应不利于极端降水增加有关。     

Cross-season relation of the South China Sea precipitation variability between winter and summer

The present study reveals cross-season connections of rainfall variability in the South China Sea (SCS) region between winter and summer. Rainfall anomalies over northern South China Sea in boreal summer tend to be preceded by the same sign rainfall anomalies over southern South China Sea in boreal winter (denoted as in-phase relation) and succeeded by opposite sign rainfall anomalies over southern South China Sea in the following winter (denoted as out-of-phase relation). Analysis shows that the in-phase relation from winter to summer occurs more often in El Niño/La Niña decaying years and the out-of-phase relation from summer to winter appears more frequently in El Niño/La Niña developing years. In the summer during the El Niño/La Niña decaying years, cold/warm and warm/cold sea surface temperature (SST) anomalies develop in tropical central North Pacific and the North Indian Ocean, respectively, forming an east–west contrast pattern. The in-phase relation is associated with the influence of anomalous heating/cooling over the equatorial central Pacific during the mature phase of El Niño/La Niña events that suppresses/enhances precipitation over southern South China Sea and the impact of the above east–west SST anomaly pattern that reduces/increases precipitation over northern South China Sea during the following summer. The impact of the east–west contrast SST anomaly pattern is confirmed by numerical experiments with specified SST anomalies. In the El Niño/La Niña developing years, regional air-sea interactions induce cold/warm SST anomalies in the equatorial western North Pacific. The out-of-phase relation is associated with a Rossby wave type response to anomalous heating/cooling over the equatorial central Pacific during summer and the combined effect of warm/cold SST anomalies in the equatorial central Pacific and cold/warm SST anomalies in the western North Pacific during the mature phase of El Niño/La Niña events.     

东部型和中部型厄尔尼诺事件对山东夏季降水的不同影响

利用1951—2017年NOAA月平均海面温度、NCEP/NCAR的再分析资料以及中国160站月降水观测资料,通过分类合成分析方法研究了东部型（eastern Pacific,EP）和中部型（central Pacific,CP）厄尔尼诺（El Niño）事件当年及次年对山东夏季降水年际变化的影响。结果表明,两类El Niño发生年,山东夏季降水均较常年显著偏少,但EP El Niño对山东夏季降水的影响强度和范围略弱于CP El Niño：EP El Niño发生年夏季,仅鲁西北部分地区以及胶州湾附近降水较常年显著偏少,而CP El Niño当年夏季山东全区降水较常年显著偏少。EP El Niño和CP El Niño次年对山东夏季降水异常的影响呈反位相,且影响大值区空间位置也完全相反：EP El Niño次年夏季山东东部尤其是半岛地区降水较常年异常偏少（青岛地区最为突出）,而CP El Niño次年夏季山东中部和北部尤其是西北部地区降水较常年异常偏多。EP El Niño当年和次年夏季、CP El Niño当年夏季500 hPa高度场异常分布形势不利于西北太平洋副热带高压的北上,850 hPa风场为偏北风和偏东风异常,山东水汽输送条件差,水汽无明显辐合,造成大部分地区降水偏少。CP El Niño次年夏季西北太平洋副热带高压偏强,位置偏西偏北,850 hPa显著西南风场异常,山东中西部水汽辐合明显,这些是降水偏多的重要原因。     

Predictability of the western North Pacific summer climate associated with different ENSO phases by ENSEMBLES multi-model seasonal forecasts

Predictability of the western North Pacific (WNP) summer climate associated with different El Niño–Southern Oscillation (ENSO) phases is investigated in this study based on the 1-month lead retrospective forecasts of five state-of-the-art coupled models from ENSEMBLES. During the period from 1960 to 2005, the models well capture the WNP summer climate anomalies during most of years in different ENSO phases except the La Niña decaying summers. In the El Niño developing, El Niño decaying and La Niña developing summers, the prediction skills are high for the WNP summer monsoon index (WNPMI), with the prediction correlation larger than 0.7. The high prediction skills of the lower-tropospheric circulation during these phases are found mainly over the tropical western Pacific Ocean, South China Sea and subtropical WNP. These good predictions correspond well to their close teleconnection with ENSO and the high prediction skills of tropical SSTs. By contrast, for the La Niña decaying summers, the prediction skills are considerably low with the prediction correlation for the WNPMI near to zero and low prediction skills around the Philippines and subtropical WNP. These poor predictions relate to the weak summer anomalies of the WNPMI during the La Niña decaying years and no significant connections between the WNP lower-tropospheric circulation anomalies and the SSTs over the tropical central and eastern Pacific Ocean in observations. However, the models tend to predict an apparent anomalous cyclone over the WNP during the La Niña decaying years, indicating a linearity of the circulation response over WNP in the models prediction in comparison with that during the El Niño decaying years which differs from observations. In addition, the models show considerable capability in describing the WNP summer anomalies during the ENSO neutral summers. These anomalies are related to the positive feedback between the WNP lower-tropospheric circulation and the local SSTs. The models can capture this positive feedback but with some uncertainties from different ensemble members during the ENSO neutral summers.     

ENSO nonlinearity in a warming climate

The El Niño Southern Oscillation (ENSO) is known as the strongest natural inter-annual climate signal, having widespread consequences on the global weather, climate, ecology and even on societies. Understanding ENSO variations in a changing climate is therefore of primordial interest to both the climate community and policy makers. In this study, we focus on the change in ENSO nonlinearity due to climate change. We first analysed high statistical moments of observed Sea Surface Temperatures (SST) timeseries of the tropical Pacific based on the measurement of the tails of their Probability Density Function (PDF). This allows defining relevant metrics for the change in nonlinearity observed over the last century. Based on these metrics, a zonal “see-saw” (oscillation) in nonlinearity patterns is highlighted that is associated with the change in El Niño characteristics observed in recent years. Taking advantage of the IPCC database and the different projection scenarios, it is showed that changes in El Niño statistics (or “flavour”) from a present-day climate to a warmer climate are associated with a significant change in nonlinearity patterns. In particular, in the twentieth century climate, the “conventional” eastern Pacific El Niño relates more to changes in nonlinearity than to changes in mean state whereas the central Pacific El Niño (or Modoki El Niño) is more sensitive to changes in mean state than to changes in nonlinearity. An opposite behaviour is found in a warmer climate, namely the decreasing nonlinearity in the eastern Pacific tends to make El Niño less frequent but more sensitive to mean state, whereas the increasing nonlinearity in the west tends to trigger Central Pacific El Niño more frequently. This suggests that the change in ENSO statistics due to climate change might result from changes in the zonal contrast of nonlinearity characteristics across the tropical Pacific.     

Volcanoes and ENSO in millennium simulations: global impacts and regional reconstructions in East Asia

The impacts and cooperative effects of volcanic eruptions and ENSO (El Niño/Southern Oscillation) are analyzed in a millennium simulation for 800–2005 AD using the earth system model (ESM) ECHAM5/MPIOM/JSBACH subject to anthropogenic and natural forcings. The simulation comprises two ensembles, a first with weak (E1, five members) and a second with strong (E2, three members) variability total solar irradiance. In the analysis, the 21 most intense eruptions are selected in each ensemble member. Volcanoes with neutral ENSO states during two preceding winters cause a global cooling in the year after eruptions up to ?2.5°C. The nonsignificant positive values in the tropical Pacific Ocean indicate an El Niño-like warming. In the winter after an eruption, warming is mainly found in the Arctic Ocean and the Bering Sea in E2 warming extends to Siberia and central Asia. The recovery times for the volcano-induced cooling (average for 31 eruptions) vary globally between 1 and 12 years. There is no significant increase of El Niño events after volcanic eruptions in both ensembles. The simulated temperature and the drought indices are compared with corresponding reconstructions in East Asia. Volcanoes cause a dramatic cooling in west China (?2°C) and a drought in East China during the year after the eruption. The reconstructions show similar cooling patterns with smaller magnitudes and confirm the dryness in East China. Without volcanoes, El Niño events reduce summer precipitation in the North, while South China becomes wetter; La Niña events cause opposite effects. El Niño events in the winters after eruptions compensate the cooling caused by volcanoes in most regions of China (consistent with reconstructions), while La Niña events intensify the cooling (up to ?2.5°C). The simulated and reconstructed drought indices show tripole patterns which are altered by El Niño events. The simulated impact of the Tambora eruption in 1815, which caused the “year without summer” of 1816 in Europe and North America and led to coldness and famines in the Chinese province Yunnan, depends crucially on the ENSO state of the coupled model. A comparison with reconstructed El Niño events shows a moderate cool climate with wet (in the south) and extreme dry anomalies (in the north) persisting for several years.     

影响我国热带气旋活动的气候特征及其与太平洋海温的关系

利用1956~2000年的热带气旋(简称TC,下同)资料对影响我国TC活动的气候特征进行了初步的统计分析,结果发现影响我国的TC活动具有明显的阶段性特征,1960年代影响我国的TC数明显偏少,而后进入偏多期,1990年代又相对偏少。影响我国的TC强度多集中于980~999 hPa,华东的闽、浙一带TC登陆比华南晚,但强度较大。在此基础上通过对影响我国的TC年个数与太平洋海温场进行相关分析,发现两个相关较密切的区域: 西太平洋暖池(120~150 E, 10~20 N)正相关区、赤道中东太平洋(180 ~90 W, 10 S~5 N)负相关区,这两个相关区具有较好的持续性。进一步分析影响我国的TC在El Ni駉年与La Ni馻年的气候特征发现,El Ni駉年影响我国的TC数较少,但强度较大,La Ni馻年则相反,影响我国TC多年和少年对应的太平洋海温距平分布形势分别与La Nia年和El Nio年的海温距平分布形势类似。     

Evolution of meteorological drought characteristics in Vietnam during the 1961–2007 period

The drought conditions over the seven sub-climatological regions in Vietnam are examined using three meteorological drought indices: de Martonne J, PED, and Standardized Precipitation Index (SPI). According to the seasonal probabilities of drought occurrence estimated by the de Martonne index, droughts mainly occur between November and March in all the sub-regions. The PED index and the SPI index generally show high probabilities of drought occurrence from April to August and from May to October, respectively. In the southern sub-regions of Vietnam, droughts more frequently occur in El Niño years and wet conditions are more frequently observed in La Niña years. However, such El Niño–Southern Oscillation influences are not clearly observed in the northern sub-regions. During 1961–2007, droughts significantly increased in the northern part of Vietnam. In the southern regions, PED shows increasing drought conditions while J and SPI show decreasing drought trends for almost all the stations.     

ENSO regulation of MJO teleconnection

The extratropical teleconnections associated with Madden?CJulian Oscillation (MJO) are shown to have an action center in the North Pacific where the pressure anomalies have opposite polarities between the Phase 3 (convective Indian Ocean) and Phase 7 (convective western Pacific) of the MJO. The teleconnection in the same phase of MJO may induce opposite anomalies over East Asia and North America between El Ni?o and La Ni?a years. During MJO Phase 3, a gigantic North Pacific anticyclonic anomaly occurs during La Ni?a, making coastal northeast Asia warmer/wetter than normal, but the west US colder/drier; whereas during El Ni?o the anticyclonic anomaly is confined to the central North Pacific, hence the northwest US experiences warmer than normal weather under influence of a downstream cyclonic anomaly. During Phase 7, an extratropical cyclonic anomaly forms over the northwest Pacific during La Ni?a due to convective enhancement over the Philippine Sea, causing bitter winter monsoon over Japan; whereas during El Ni?o, the corresponding cyclonic anomaly shifts to the northeast Pacific due to enhanced convection over the equatorial central Pacific, which causes warm and wet conditions along the west coast of US and Canada. Further, the presence of ENSO-induced seasonal anomalies can significantly modify MJO teleconnection, but the aforementioned MJO teleconnection can still be well identified. During Phase 3, the MJO teleconnection pattern over North Pacific will be counterbalanced (enhanced) by El Ni?o (La Ni?a)-induced seasonal mean anomalies. During Phase 7, on the other hand, the MJO teleconnection anomalies in the northeastern Pacific will be enhanced during El Ni?o but reduced during La Ni?a; thereby the impacts of MJO teleconnection on the North America is expected to be stronger during El Ni?o than during La Ni?a.     

中南半岛春季植被覆盖变化及其与ENSO的联系

利用归一化植被指数NDVI（Normalized Difference Vegetation Index）、气候资料以及环流场数据,探讨了中南半岛地区植被覆盖变化特征及其与ENSO（El Niño-Southern Oscillation）的联系。研究表明,降水是影响春季植被生长的主要因子,与NDVI呈显著的正相关关系;而温度、辐射与NDVI呈负相关关系。进一步分析表明,当前期冬季赤道中东太平洋海温异常偏暖（发生厄尔尼诺事件）时,中南半岛附近海平面气压偏高、850 hPa风场辐散,上升运动偏弱,不利于云和降水形成,而有利于太阳辐射增加和温度升高,降水减小和温度升高均抑制春季中南半岛植被生长;反之,当前期冬季发生拉尼娜事件时,有利于中南半岛植被生长。