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。     

ENSO 与中国东部夏季降水的关联

计算1 月减6 月El Niño 3.4 指数与6—8 月平均200、850 hPa 风场的相关矢量,分析中等或强ElNiño/La Niña 事件后的夏季(6—8 月)中国东部降水异常分布、西太平洋副热带高压异常特征。结果表明,对ENSO 的响应,无论高、底层大气环流还是西太平洋副热带高压,1970 年代中期气候突变后变为更敏感。主要表现在:对衰减的El Niño 的响应,夏季南亚高压偏东,西太平洋副热带高压偏强、偏西、偏南,印度季风、南海季风减弱,黄河下游以南副热带季风增强。黄河中下游及以南形成异常环流辐合带,由El Niño 导致的降水正异常最有可能出现在这一西南-东北的带状区域。对衰减的La Niña 响应大致相反。      

东太平洋暖池及经向风异常在ENSO事件发生、发展过程中的作用

利用1982～1999期间LDEO海表温度资料和NCEP/NCAR再分析风场资料,分析东太平洋暖池及经向风异常与ENSO事件的可能关系。结果表明,东太平洋暖池气候平均海表温度存在明显的季节变化特征,且与El Niño事件春季发生、夏季发展、秋季达到成熟及冬季衰亡的成长过程非常相似。经向风异常及其散度与ENSO事件密切相关。综合考虑,提出了东太平洋暖池及经向风异常（北风距平及经向风距平散度辐合）对ENSO事件发生、发展作用的概念模型:北风距平爆发通过产生北风吹洋流的作用,将东太平洋暖池暖水由北向南输送至赤道附近,从而有利于Ni?o3区海表温度上升;几乎与此同时,东太平洋暖池赤道上经向风距平散度辐合不仅能导致暖水在赤道附近堆积,而且辐合的风场对赤道附近的冷上升流有抑制作用,从而有利于Niño3区海表温度的增加,上述增温因素的叠加作用有（不）利于El Niño（La Niña）事件的发生、发展。进一步分析表明,东太平洋暖池及经向风异常仅对El Niño（La Niña）事件发生、发展起促进（抑制）作用而不起决定作用。将东太平洋暖池、经向风异常与西太平洋暖池、西风距平结合起来一并考虑,完善了El Niño事件发生、发展机制。最后,初步分析1980、1990年代El Niño事件特性差异的可能原因。     

ENSO与中国夏季降水的联系:冬季QBO的调制作用

使用NCEP/NCAR再分析资料、中国气象局台站降水资料和GPCC降水资料,系统研究了在冬季平流层准两年振荡(Quasi-Biennial Oscillation, QBO)调制下,厄尔尼诺-南方涛动(El Ni?o-Southern Oscillation, ENSO)不同阶段与中国夏季降水的可能联系。根据两者的位相和强度,可将它们的配置分为QBO西风/El Ni?o、QBO西风/La Ni?a、QBO东风/El Ni?o、QBO东风/La Ni?a。研究结果表明,在年际时间尺度上,ENSO和QBO无显著相关关系。冬季QBO西风位相时,El Ni?o发展年夏季,我国整体偏旱,而华南偏涝;衰减年夏季,华南、华东北部偏旱,东北、长江流域偏涝。La Ni?a发展年夏季,我国东部降水异常呈负-正-负的三极分布;衰减年夏季,东南沿海偏涝。冬季QBO东风位相时,El Ni?o发展年夏季,长江以北偏旱;衰减年夏季,我国东部降水异常呈负-正-负的三极分布。La Ni?a发展年夏季,江淮和华南南部偏旱;衰减年夏季,我国东部沿海偏涝。ENSO是影响我国夏季降水异常的重要因子,而QBO的调制作用在ENSO衰减年夏季更为显著。相比冬季QBO东(西)风位相,QBO西(东)风位相时El Ni?o (La Ni?a)期间赤道西太平洋负(正)海温异常更强,衰减年夏季位于西太平洋的异常下沉(上升)运动和印度洋的异常上升(下沉)运动更强更深厚,西太平洋副热带高压范围更大(小),南亚高压更偏东(西)。      

强La Niña背景下的东亚夏季风异常与1989年和1999年中国夏季降水的对比分析

选取两个强La Niña年 (1989年和1999年), 对比分析了强La Niña背景下的东亚夏季风异常和中国夏季降水分布。结果表明, 受南极海冰分布异常的影响, 这两年6～7月间南极涛动呈现不同的位相, 进而改变了南方涛动的位相。1989年, 南极涛动为正时, 南方涛动为正, 马斯克林高压 (简称马高) 偏强, 澳大利亚高压 (简称澳高) 偏弱。与1989年相反, 1999年南极涛动和南方涛动均为负位相, 马高偏弱, 澳高偏强, 这与一般La Niña年的情况正好相反。与马高和澳高强度变化相对应, 西太平洋副热带高压在1989年偏西、 1999年偏东, 并影响到6～7月间中国降水的分布。8月副高北抬后, 南半球环流变化的影响减弱, 东亚夏季风环流主要受热带环流和中高纬度环流的影响。1989年8月, 受中高纬度冷平流的影响, 副高偏弱, 长江流域降水偏多。1999年8月, 由于热带西风异常偏强, 副高偏强, 长江以南降水偏多。本文的研究结果表明, 即使在两个相似的强La Niña事件影响下, 由于其他因子对La Niña信号的调制作用, 中国夏季降水仍呈现不同的分布, 1989年为中间型, 而1999年为南方型, 这与一般La Niña年雨带偏北正好相反。最后, 对中国夏季降水的季度预测提出了一些建议。     

两类厄尔尼诺事件对登陆中国热带气旋的影响

利用上海台风研究所整编的1951—2016年西北太平洋热带气旋最佳路径数据集,NCEP/NCAR再分析资料和NOAA的COBE SST再分析资料,〖JP〗按照热带气旋生成区域将热带气旋分为南海热带气旋与西北太平洋热带气旋两类,采用合成分析等统计学方法探讨了热带气旋活动盛期,登陆中国的热带气旋对东部型和中部型厄尔尼诺（El Niño）事件的响应。结果表明,热带气旋活动盛期,南海热带气旋在两类El Niño事件下生成频数差异不大;东部型El Niño存续期南海热带气旋登陆中国比率较中部型El Niño时偏低,登陆时强度较中部型偏弱。中部型El Niño存续期间,西北太平洋热带气旋生成频数比东部型El Niño时的频数偏高,而登陆中国热带气旋较东部型偏少,登陆时热带气旋强度较东部型偏弱;但两类El Niño事件期间西北太平洋热带气旋在中国的登陆率差异没有通过显著性检验。与中部型El Niño事件相比,在东部型El Niño事件期间,西北太平洋海面温度偏低,对流层中部水汽条件较差,对流层低层涡度异常偏低,同时在热带气旋较为集中生成的海域存在沃克（Walker）环流的异常下沉气流,西太平洋副热带高压偏强偏东偏南,共同导致登陆中国热带气旋频数偏少。     

El Niño事件发生对南北半球大气环流异常的对称及非对称性影响及其机理分析

利用合成分析方法, 分析了1971～2003年间7个El Niño事件发生时南、北半球大气环流异常的对称与反对称特性。分析结果表明, El Niño事件发生期间, 在热带地区15°S～15°N大气环流异常以对称性为主, 但也有一定的反对称分量: 高度场异常和纬向风异常的对称性较强, 而经向风异常的反对称较强; 同时在El Niño事件演变的各阶段, 高度场异常和纬向风异常的变化较明显, 而经向风的变化较小, 高度场和风场异常在低层 (700 hPa) 和高层 (200 hPa) 呈明显的反位相分布。并且, 为探讨El Niño事件对南、北半球大气环流异常的非对称性影响的机理, 本研究进一步利用ERA－40逐日资料, 应用Hough函数分析了El Niño事件发生期间这些赤道波动的演变特征。结果表明, El Niño事件发生期间, 热带地区大气环流异常对称性较强的主要原因是对称性Rossby波异常较强, 而Rossby重力混合波异常对经向风场的反对称分量有重要作用; 并且, 研究结果还表明, 在El Niño事件发生期间, 热带东太平洋的海温正异常能够激发由对称性Rossby波和Kelvin波组成的Gill型环流异常。此外, 分析表明Hough函数在分析热带大气波动的对称性及反对称性上具有明显的优越性。     

ENSO循环对西北地区夏季气候异常的影响

利用陕、甘、宁、青、新五省(区)分布均匀的89个测站近40年的夏季降水和气温资料,分析了ENSO循环在不同位相时西北地区夏季降水和气温的异常特征。结果表明,西北地区夏季气候在ENSO循环不同位相的异常特征各不相同。El Ni~↑no发展年,我国青藏高原东侧地区的降雨稀少,气温偏高,容易发生干旱,而新疆则以低温多雨为主;El Ni~↑no次年,青藏高原东侧及北疆地区降水偏多,气温偏低。La Ni~↑na年我国西北地区的气候特征类似于El Ni~↑no次年,但异常的范围更大,异常程度更加明显。西北地区夏季降水在El Ni~↑no发展年的异常强度较次年和La Ni~↑na年明显,而气温则相反,即在El Ni~↑no次年和La Ni~↑na年的异常要强于El Ni~↑no当年。无论是降水还是气温,青海东部、甘肃中部、宁夏和陕北是夏季我国西北地区对ENSO影响反映最强烈的区域,新疆地区则有其自身特点。     

不同PDO位相下El Niño发展年和La Niña年东亚夏季风的季节内变化

基于1957~2017年观测和再分析资料,合成分析了北太平洋年代际振荡(Pacific decadal oscillation,PDO)不同位相下El Ni?o发展年和La Nina年东亚夏季风的环流、降水特征及季节内变化。结果表明,PDO正、负位相作为背景场,分别对El Ni?o发展年、La Nina年东亚夏季风及夏季降水具有加强作用。PDO正位相一方面可增强El Ni?o发展年夏季热带中东太平洋暖海温异常信号,另一方面通过冷海温状态加强中高纬东亚大陆与西北太平洋的环流异常,从而在一定程度上增强了东亚夏季风环流的异常程度;反之,PDO负位相则增强了La Nina年热带海气相互作用以及中高纬环流(如东北亚反气旋)的异常。在季节内变化方面,El Ni?o发展年6月贝湖以东反气旋性环流为东亚地区带来稳定的北风异常,东北亚位势高度减弱;7月开始,环流形势发生调整,日本以东洋面出现气旋性异常,东亚大陆偏北风及位势高度负异常均得到加强;8月,随着东亚夏季风季节进程和El Ni?o发展,西太平洋出现气旋性环流异常,东亚副热带位势高度进一步降低,西北太平洋副热带高压(简称副高)明显东退。La Nina年6月异常较弱,主要环流差异自7月西北太平洋为大范围气旋性异常控制开始,东亚-太平洋遥相关型显著,副高于季节内始终偏弱偏东。上述两种情况下,均造成东亚地区夏季降水总体上偏少,尤其是中国北方降水显著偏少。     

ENSO发展和衰减阶段的陕西夏季降水异常特征

利用1961—2008年陕西78个气象站夏季 (6—8月) 降水资料、NCEP/NCAR位势高度场和风场月平均再分析资料,采用合成及相关分析方法探讨ENSO发展和衰减阶段对陕西夏季降水异常的影响,以期为陕西夏季降水的气候预测提供线索和依据。结果表明:陕西夏季降水异常对ENSO发展和衰减阶段的响应存在显著差异,El Ni?o发展阶段和La Ni?a衰减阶段,陕西夏季降水偏少; El Ni?o衰减阶段和La Ni?a发展阶段,陕西夏季降水偏多; ENSO不同阶段对陕西7月降水影响最为显著。比较而言,El Ni?o事件对陕西夏季降水的影响更加显著。在El Ni?o衰减、La Ni?a发展阶段,西太平洋副热带高压偏强、偏西,东亚夏季风偏弱,而在El Ni?o发展、La Ni?a衰减阶段,西太平洋副热带高压偏弱、偏东,东亚夏季风偏强,El Ni?o过程对东亚夏季风强弱的影响更加显著。ENSO发展和衰减阶段通过影响大气环流变化和东亚夏季风的强弱,进而影响陕西夏季降水。     

Statistical Evidence for Asymmetry in ENSO–IOD Interactions

The interaction between the El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) has been noted in many previous studies. However, the interaction is often presumed to exist in a robust manner. This paper questions this assumption and looks for statistical evidence for the robust existence of the ENSO–IOD interaction rather than chance co-occurrences. Consistent definitions of ENSO and IOD events were developed so that ENSO and IOD events identified are comparable in nature, strength, persistence, and time of occurrence during the year, relative to their natural variability. We applied a combinatorial probability test to the probability tables of ENSO and IOD events to test for robustness of our results and those computed from two published works. Our findings show that there is an asymmetry in the interaction between ENSO and IOD. The interaction between El Niño (EN) and the positive and negative phases of the IOD (pIOD and nIOD, respectively) is more robust, enhancing the EN–pIOD co-occurrence and suppressing the EN–nIOD co-occurrence. On the other hand, the interaction between La Niña (LN) and either phase of the IOD cannot be said to exist with the same robustness; the interaction suppresses LN–pIOD co-occurrence, but the occurrence of LN–nIOD might be coincidental. Further research is needed to determine the cause and mechanisms for the asymmetry in the interaction between LN and pIOD/nIOD.     

Summer monsoon circulation and precipitation over the tropical Indian Ocean during ENSO in the NCEP climate forecast system

This study investigates the El Niño Southern Oscillation (ENSO) teleconnections to tropical Indian Ocean (TIO) and their relationship with the Indian summer monsoon in the coupled general circulation model climate forecast system (CFS). The model shows good skill in simulating the impact of El Niño over the Indian Oceanic rim during its decay phase (the summer following peak phase of El Niño). Summer surface circulation patterns during the developing phase of El Niño are more influenced by local Sea Surface Temperature (SST) anomalies in the model unlike in observations. Eastern TIO cooling similar to that of Indian Ocean Dipole (IOD) is a dominant model feature in summer. This anomalous SST pattern therefore is attributed to the tendency of the model to simulate more frequent IOD events. On the other hand, in the model baroclinic response to the diabatic heating anomalies induced by the El Niño related warm SSTs is weak, resulting in reduced zonal extension of the Rossby wave response. This is mostly due to weak eastern Pacific summer time SST anomalies in the model during the developing phase of El Niño as compared to observations. Both eastern TIO cooling and weak SST warming in El Niño region combined together undermine the ENSO teleconnections to the TIO and south Asia regions. The model is able to capture the spatial patterns of SST, circulation and precipitation well during the decay phase of El Niño over the Indo-western Pacific including the typical spring asymmetric mode and summer basin-wide warming in TIO. The model simulated El Niño decay one or two seasons later, resulting long persistent warm SST and circulation anomalies mainly over the southwest TIO. In response to the late decay of El Niño, Ekman pumping shows two maxima over the southern TIO. In conjunction with this unrealistic Ekman pumping, westward propagating Rossby waves display two peaks, which play key role in the long-persistence of the TIO warming in the model (for more than a season after summer). This study strongly supports the need of simulating the correct onset and decay phases of El Niño/La Niña for capturing the realistic ENSO teleconnections. These results have strong implications for the forecasting of Indian summer monsoon as this model is currently being adopted as an operational model in India.     

Influence of ENSO and of the Indian Ocean Dipole on the Indian summer monsoon variability

Indian summer monsoon (ISM) variability is forced from external factors (like the El Niño Southern Oscillation, ENSO) but it contains also an internal component that tends to reduce its potential for predictability. Large-scale and local monsoon indices based on precipitation and atmospheric circulation parameters are used as a measure of ISM variability. In a 9-members ensemble of AMIP-type experiments (with same boundary SST forcing and different initial conditions) their potential predictability is comparable using both local and large-scale monsoon indices. In the sample analyzed, about half of more predictable monsoon years coincide with El Niño and/or positive Indian Ocean Dipole (IOD) events. Summer monsoon characteristics during ENSO and IOD years are analyzed through composites computed over a three years period (i.e. one year before and one year after the event peak) to investigate the mutual relationship between the events lagged in time. The connection between ISM and IOD is mostly confined in the summer and autumn, while that with ENSO is stronger and extends more in time. In the coupled model results the IOD influence on the monsoon is large, even because in the model IOD events are intense and easily reproduced due to a strong air-sea feedback in the eastern side of the basin. Monsoon seasons preceding or following an El Niño or a La Niña event are not exactly symmetric, even in terms of their biennial character. In most of the cases, both in reanalysis and model, El Niño and positive IOD events tend to co-occur with larger anomalies either in the Indo-Pacific ocean sector or over India, while La Niña and negative IOD do not. From the observed record, the ENSO-IOD correlation is positive strong and significant since mid-60s and it may correspond with either strong or weak ENSO-monsoon relationship and with strong or weak IOD-monsoon relationship. A main difference between those periods is the relationship between Indian monsoon rainfall and SST in other ocean basins rather than the Indo-Pacific sector alone.     

Respective influences of IOD and ENSO on the Tibetan snow cover in early winter

Using reanalysis data and snow cover data derived from satellite observations, respective influences of Indian Ocean Dipole (IOD) and El Niño/Southern Oscillation (ENSO) on the Tibetan snow cover in early winter are investigated. It is found that the snow cover shows a significant positive partial correlation with IOD. In the pure positive IOD years with no co-occurrences of El Niño, negative geopotential height anomalies north of India are associated with warm and humid southwesterlies to enter the plateau from the Bay of Bengal after rounding cyclonically and supply more moisture. This leads to more precipitation, more snow cover, and resultant lower surface temperature over the plateau. These negative geopotential height anomalies north of India are related to the equivalent barotropic stationary Rossby waves in the South Asian wave guide. The waves can be generated by the IOD-related convection anomalies over the western/central Indian Ocean. In contrast, in the pure El Niño years with no co-occurrences of the positive IOD, the anomalies of moisture supply and surface temperature over the plateau are insignificant, suggesting negligible influences of ENSO on the early winter Tibetan snow cover. Further analyses show that ENSO is irrelevant to the spring/early summer Tibetan snow cover either, whereas the IOD-induced snow cover anomalies can persist long from the early winter to the subsequent early summer.     

Tanzanian rainfall responses to El Niño and positive Indian Ocean Dipole events during 1951–2015

The relative impacts of Indian and Pacific Ocean processes on Tanzanian rainfall was evaluated using composite and correlation analyses. It was found that the seasonal responses of rainfall to positive Indian Ocean Dipole (pIOD) and El Niño events are substantial from September–October–November (SON) to December–January–February (DJF), whereas the Indian Ocean Dipole (IOD) exerts more control than El Niño–Southern Oscillation (ENSO) in both seasons. The associated relationship with the sea surface temperature (SST) and large-scale atmospheric circulations revealed distinct features. For the pure pIOD years, there is above-normal rainfall over the entire country. A strong rainfall condition is evident over the Lake Victoria basin and coastal and northeastern highland parts of the country during SON, while areas of the central and southern highlands exhibit substantial rains during DJF. For the pure El-Niño events, Tanzania has suffered from insignificant, weak, and non-coherent rainfall conditions during SON. However, a contrasting insignificant rainfall signature is found between the northern and southern parts of the country during the subsequent DJF season. For the co-occurrence of pIOD and El Niño, significant, excessive rainfall conditions are restricted to over the northern coast and northeastern areas of the country during SON, consistent with the rainfall pattern for pIOD. A weak, positive rainfall condition is observed over the entire country in the following season of DJF. Generally, in terms of Tanzanian rainfall, the IOD/ENSO variability and the associated impacts can be explained by the anomalous SST and circulation anomalies.     

Relationships between the East Asian-western north pacific monsoon and ENSO simulated by FGOALS-s2

The relationships between ENSO and the East Asian-western North Pacific monsoon simulated by the Flexible Global Ocean-Atmosphere-Land System model, Spectral Version 2 (FGOALS-s2), a state-of-the-art coupled general circulation model (CGCM), are evaluated. For El Nio developing summers, FGOALS-s2 reproduces the anomalous cyclone over the western North Pacific (WNP) and associated negative precipitation anomalies in situ. In the observation, the anomalous cyclone is transformed to an anomalous anticyclone over the WNP (WNPAC) during El Nio mature winters. The model reproduces the WNPAC and associated positive precipitation anomalies over southeastern China during winter. However, the model fails to simulate the asymmetry of the wintertime circulation anomalies over the WNP between El Nio and La Nia. The simulated anomalous cyclone over the WNP (WNPC) associated with La Nia is generally symmetric about the WNPAC associated with El Nio, rather than shifted westward as that in the observation. The discrepancy can partially explain why simulated La Nin a events decay much faster than observed. In the observation, the WNPAC maintains throughout the El Nio decaying summer under the combined effects of local forcing of the WNP cold sea surface temperature anomaly (SSTA) and remote forcing from basinwide warming in the tropical Indian Ocean. FGOALS-s2 captures the two mechanisms and reproduces the WNPAC throughout the summer. However, owing to biases in the mean state, the precipitation anomalies over East Asia, especially those of the Meiyu rain belt, are much weaker than that in the observation.     

The asymmetric effects of El Niño and La Niña on the East Asian winter monsoon and their simulation by CMIP5 atmospheric models

El Niño–Southern Oscillation (ENSO) events significantly affect the year-by-year variations of the East Asian winter monsoon (EAWM). However, the effect of La Niña events on the EAWM is not a mirror image of that of El Niño events. Although the EAWM becomes generally weaker during El Niño events and stronger during La Niña winters, the enhanced precipitation over the southeastern China and warmer surface air temperature along the East Asian coastline during El Niño years are more significant. These asymmetric effects are caused by the asymmetric longitudinal positions of the western North Pacific (WNP) anticyclone during El Niño events and the WNP cyclone during La Niña events; specifically, the center of the WNP cyclone during La Niña events is westward-shifted relative to its El Niño counterpart. This central-position shift results from the longitudinal shift of remote El Niño and La Niña anomalous heating, and asymmetry in the amplitude of local sea surface temperature anomalies over the WNP. However, such asymmetric effects of ENSO on the EAWM are barely reproduced by the atmospheric models of Phase 5 of the Coupled Model Intercomparison Project (CMIP5), although the spatial patterns of anomalous circulations are reasonably reproduced. The major limitation of the CMIP5 models is an overestimation of the anomalous WNP anticyclone/cyclone, which leads to stronger EAWM rainfall responses. The overestimated latent heat flux anomalies near the South China Sea and the northern WNP might be a key factor behind the overestimated anomalous circulations.     

Quasi-3-yr Cycle of Rainy Season Precipitation in Tibet Related to Different Types of ENSO during 1981–2015

The rainy season precipitation in Tibet (RSPT) is a direct cause for local floods/droughts. It also indirectly affects the thermal conditions of the Tibetan Plateau, which can result in anomalous patterns of atmospheric circulation over East Asia. The interannual variability of the RSPT is often linked with the El Niño–Southern Oscillation (ENSO), but the relevant mechanisms are far from being understood, particularly for different types of ENSO events. We investigated the interannual variation of the RSPT in association with different types of ENSO. A quasi-3-yr period of the RSPT (less–more–more precipitation) was significant at the 95% confidence level. A joint multi-taper method with singular value decomposition analysis of the coupled field between the RSPT and the sea surface temperature (SST) revealed that the developing eastern Pacific type El Niño was accompanied by a decrease in the RSPT. The shift from the central Pacific type El Niño to the eastern Pacific La Niña was accompanied by an increase in the RSPT. Weakening of the central Pacific La Niña was accompanied by an increase in the RSPT. Analysis of the mechanism of this coupling, using the same analysis method but other climatic factors, indicated that the gradually strengthening eastern Pacific El Niño can inhibit the Walker circulation, weakening the South Asian summer monsoon, and resulting in transport of less water vapor from the Bay of Bengal to Tibet. The change from the central Pacific El Niño to the eastern Pacific La Niña led to continued strengthening of the Walker circulation with westward movement of the ascending area. This enhanced the South Asian summer monsoon over the Arabian Sea and transported more water vapor to Tibet. The decreasing central Pacific La Niña accompanied by persistent cooling of SSTs in the equatorial Pacific led to a strong eastern North Pacific summer monsoon, causing an anomaly in the easterly transport of water vapor from the Sea of Japan to Tibet and increased RSPT.     

ENSO and Western North Pacific tropical cyclone activity simulated in a CGCM

A high-resolution (T213) coupled ocean–atmosphere general circulation model (CGCM) has been used to examine the relationship between El Niño/Southern Oscillation (ENSO) and tropical cyclone (TC) activity over the western North Pacific (WNP). The model simulates ENSO-like events similar to those observed, though the amplitude of the simulated Niño34 sea surface temperature (SST) anomaly is twice as large as observed. In El Niño (La Niña) years, the annual number of model TCs in the southeast quadrant of the WNP increases (decreases), while it decreases (increases) in the northwest quadrant. In spite of the significant difference in the mean genesis location of model TCs between El Niño and La Niña years, however, there is no significant simultaneous correlation between the annual number of model TCs over the entire WNP and model Niño34 SST anomalies. The annual number of model TCs, however, tends to decrease in the years following El Niño, relating to the development of anticyclonic circulation around the Philippine Sea in response to the SST anomalies in the central and eastern equatorial Pacific. Furthermore, it seems that the number of model TCs tends to increase in the years before El Niño. It is also shown that the number of TCs moving into the East Asia is fewer in October of El Niño years than La Niña years, related to the anomalous southward shift of mid-latitude westerlies, though no impact of ENSO on TC tracks is found in other months. It is found that model TCs have longer lifetimes due to the southeastward shift of mean TC genesis location in El Niño years than in La Niña years. As the result of longer fetch of TCs over warm SST, model TCs appear to be more intense in El Niño years. These relationships between ENSO and TC activity in the WNP are in good agreement with observational evidence, suggesting that a finer-resolution CGCM may become a powerful tool for understanding interannual variability of TC activity.