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1.
春季印度洋SSTA对夏季中国西北东部极端降水事件的影响研究 总被引：5，自引：1，他引：4
基于近47年来NCAR/NCEP再分析月平均高度场、风场、地面气压,比湿以及NOAA重构的印度洋海表温度资料和中国西北东部97个气象台站逐日降水资料,首先利用百分位法定义了极端降水事件的阈值,运用SVD及合成分析等方法,研究了前期秋季、冬季、春季及同期夏季印度洋海表温度同夏季中国西北东部极端降水事件的关系,结果表明前期春季印度洋海温异常对预测夏季中国西北东部极端降水事件的变化特征具有较明确的指示意义,关键区位于赤道印度洋地区。如果春季赤道印度洋海温异常偏暖,从同期春季到后期夏季,100～110 °E平均经圈环流在赤道附近表现为异常上升气流,对应30 °N附近在对流层中、上层表现为异常的下沉气流,同时来自印度洋的西南季风异常偏弱,使得后期夏季由于没有异常的水汽输送到我国西北东部地区,从而极端降水事件偏少,而偏冷年份正好相反。另外在春季赤道印度洋海温异常暖年,后期夏季南亚高压偏强,且呈西部型;而在异常冷年,南亚高压偏弱,且呈东部型,这可能是引起夏季中国西北东部极端降水事件变化的另一原因。 相似文献
2.
利用1979—2019年Hadley中心的海表温度资料、GPCP的降水资料以及NCEP-DOE的再分析资料等,分析了北半球春季热带南大西洋海表温度异常与北半球夏季亚澳季风区降水异常的联系。研究表明,北半球春季热带南大西洋海表温度异常与随后夏季热带西太平洋到南海（澳大利亚东侧海域到热带东印度洋）地区的降水异常为显著负相关（正相关）关系。北半球春季热带南大西洋的海表温度正异常可以引起热带大西洋和热带太平洋间的异常垂直环流,其中异常上升支（下沉支）位于热带大西洋（热带中太平洋）。热带中太平洋的异常下沉气流和低层辐散气流引起热带中西太平洋低层的异常东风,后者有利于热带中东太平洋海表温度出现负异常。通过Bjerknes正反馈机制,热带中东太平洋海表温度异常从北半球春季到夏季得到发展。热带中东太平洋海表温度负异常激发的Rossby波使得北半球夏季热带西太平洋低层出现一对异常反气旋。此时,850 hPa上热带西太平洋到海洋性大陆地区为显著的异常东风,有利于热带西太平洋到南海（澳大利亚东侧海域到热带东印度洋）地区出现异常的水汽辐散（辐合）,导致该地区降水减少（增加）。 相似文献
3.
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 Nio和2015/2016超强El Nio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 Nio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 Nio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 Nio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
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基于1979～2017年欧洲中期天气预报中心（ECMWF）全球大气数值预报再分析资料ERA-Interim提供的地表潜热及大气环流再分析资料和英国Hadley气候预测和研究中心提供的全球逐月海表温度格点资料以及新疆气象信息中心提供的塔里木盆地26个站逐月降水资料,研究了夏季青藏高原和热带印度洋热力异常对塔里木盆地夏季降水的影响。结果表明:高原北部潜热偏强（弱）和热带印度洋海温偏暖（冷）时,200 hPa纬向风表现为“北负（正）南正（负）”的特征,中亚和贝加尔湖上空分别为异常气旋（反气旋）和异常反气旋（气旋）,在二者共同作用下,塔里木盆地上空盛行偏南（北）风,印度半岛上空为异常反气旋（气旋）,有利（不利）于将低纬度水汽向北输送,配合中亚上空的异常气旋（反气旋）,有利（不利）于水汽进入新疆地区,对应塔里木盆地夏季降水偏多（少）。同时发现塔里木盆地夏季降水与中亚对流层中高层的温度异常（MUTTI）表现为显著的负相关关系,同时MUTTI与高原潜热和印度洋海温的负相关关系显著,夏季高原潜热偏强（弱）时,高原季风偏强（弱）,印度洋海温偏暖（冷）,南亚季风偏弱（强）,在二者共同作用下中亚对流层关键区中高层温度偏低（高）,其通过影响200 hPa纬向风、500 hPa环流和整层水汽输送进一步影响塔里木盆地夏季降水。 相似文献
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基于近40 a NCEP/NCAR再分析月平均高度场、风场、涡度场、垂直速度场以及NOAA重构的海面温度（sea surface temperature,SST）资料和美国联合台风预警中心（Joint Typhoon Warning Center, JTWC）热带气旋最佳路径资料,利用合成分析方法,研究了前期春季及同期夏季印度洋海面温度同夏季西北太平洋台风活动的关系。结果表明：1）前期春季印度洋海温异常（sea surface temperature anoma1y,SSTA）尤其是关键区位于赤道偏北印度洋和西南印度洋地区对西北太平洋台风活动具有显著的影响,春季印度洋海温异常偏暖年,后期夏季,110°～180°E的经向垂直环流表现为异常下沉气流,对应风场的低层低频风辐散、高层辐合的形势,这种环流形势使得低层水汽无法向上输送,对流层中层水汽异常偏少,纬向风垂直切变偏大,从而夏季西北太平洋台风频数偏少、强度偏弱,而异常偏冷年份则正好相反。2）春季印度洋异常暖年,西北太平洋副热带高压加强、西伸;而春季印度洋异常冷年,后期夏季西北太平洋副热带高压减弱、东退,这可能是引起夏季西北太平洋台风变化的另一原因。 相似文献
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基于1979～2019年日本气象厅提供的地表感热与大气环流再分析资料,美国国家海洋和大气管理局提供的月均海表温度数据和国家气象信息中心提供的月降水数据,分析了夏季伊朗高原感热和热带印度洋海温与同期塔里木盆地降水的可能联系。奇异值分解分析表明,两个地区热力异常均与塔里木盆地夏季降水联系紧密,可以通过影响500 hPa风场和水汽输送来调制塔里木盆地夏季降水的变化。当伊朗高原感热和热带印度洋海温均偏强（弱）时,对应中亚上空受异常气旋（反气旋）控制,蒙古高原上空为反气旋（气旋）控制,二者共同作用塔里木盆地上空盛行异常偏南（北）风,形成有利（不利）的动力条件;同时印度半岛上空受异常反气旋（气旋）环流控制,中亚上空为异常气旋（反气旋）,阿拉伯海水汽可（不可）由以上两个系统两步输送至新疆上空,导致盆地夏季降水整体偏多（少）。当伊朗高原和热带印度洋热力异常反相变化时,盆地降水空间差异性较大,部分区域降水偏多,部分地区降水偏少。 相似文献
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通过资料分析与数值模拟研究了西北太平洋低空环流特征及其与海面温度（SST）异常关系的季节性差异,得到如下结论：1）西北太平洋低空环流的空间尺度和位置在春季和夏季存在明显差异,从春季到夏季,异常环流范围缩小且中心位置向西北偏移;2）西北太平洋低空环流与西北太平洋局地海温的相互作用存在季节差异,春季西北太平洋冷海温与上空反气旋异常之间存在相互作用,而夏季则以大气影响海洋为主,异常的反气旋/气旋可以加热/冷却其下垫面的海温,大气超前3～4 d影响海洋;3）夏季异常反气旋环流（WNPAC）的维持主要来自非局地海温异常（北印度洋暖海温与中太平洋冷海温异常）的强迫,这两个海区对WNPAC的影响也存在季节性差异,北印度洋的影响主要体现在晚春至盛夏,而中太平洋则主要在晚夏发挥作用。 相似文献
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基于1979-2017年美国国家海洋和大气管理局(NOAA)提供的海表温度资料和美国国家环境预测中心(NCEP)/美国国家大气研究中心(NCAR)提供的大气环流再分析资料以及青藏高原地区149个站点观测资料计算的地表感热通量和新疆气象信息中心提供的全疆81站逐月降水资料等,研究了5月青藏高原和热带印度洋加热对新疆夏季降水的单独影响和共同影响。结果表明:5月高原感热和印度洋海表温度的异常呈较好的持续性,异常可持续至夏季。奇异值分解(SVD)分析发现5月高原东部(90°E为界)感热与新疆北部及塔里木盆地西南部夏季降水呈显著负相关,热带印度洋海温与塔里木盆地西部夏季降水呈显著正相关。当仅考虑高原感热影响时,高原东部感热偏强(弱)时,对应北疆夏季降水将偏少(多);当仅考虑热带印度洋海温影响时,海温偏暖(冷)时,塔里木盆地西部地区夏季降水偏多(少)。当高原感热和热带印度洋海温均偏强(弱)时,北疆夏季降水将偏少(多),南疆夏季降水将偏多(少)。当高原感热偏强(弱),热带印度洋海温偏弱(强)时,中亚副热带西风急流位置偏北(偏南),中亚和贝加尔湖地区上空分别为异常反气旋(异常气旋)和异常气旋(异常反气旋)控制,新疆上空盛行偏北(南)风,同时热带印度洋水汽不能(能)输送至新疆上空导致新疆夏季降水偏少(多)。 相似文献
9.
不同海域海表温度异常对西北太平洋副热带高压年代际变化影响的数值模拟研究 总被引：7，自引：1，他引：6
采用1950～2000年逐月观测的不同海域(全球、热带外、热带、热带印度洋-太平洋、热带印度洋及热带太平洋) 海表温度分别驱动NCAR CAM3全球大气环流模式, 进行了多组长时间积分试验, 对比观测资料, 讨论了这些海域海表温度异常 (SSTA) 对西北太平洋副热带高压年代际变化的影响。结果表明: 全球、 热带、 热带印度洋－太平洋和热带印度洋海表温度变化均对夏季西北太平洋副热带高压的年代际变化有重要作用, 即在这些海域的海表温度变化影响下, 西北太平洋副热带高压均在1970年代中后期发生了年代际变化, 其后副高面积增大、 强度增强、 位置偏西、 偏南, 这与观测结果较一致; 热带太平洋海表温度变化对夏季西北太平洋副热带高压的年代际变化也有重要作用, 在其作用下, 夏季西北太平洋副热带高压的强度、 面积在1960年代后期发生年代际变化, 南界在1970年代中后期发生年代际变化, 这些时段以后副高强度增强、 面积增大、 偏南; 热带印度洋海表温度驱动模拟的西北太平洋副热带高压变化比热带太平洋海表温度驱动模拟的副高更接近于观测结果, 且年代际变化更显著, 其差异的可能原因在于两区海表温度在1970年代中后期以后的年代际变化能在孟加拉湾〖CD*2〗中国东南沿海区域强迫产生的异常环流不同, 前者强迫产生出反气旋性环流异常, 有利于副高的增强、 面积增大和西伸, 而后者强迫产生出气旋性环流异常, 不利于副高的西伸; 热带太平洋和热带印度洋海表温度在1970年代中后期的冷、 暖年代际背景变化对夏季西北太平洋副热带高压年代际变化有重要作用; 热带外海表温度变化对西北太平洋副热带高压年代际变化作用较小。 相似文献
10.
夏季北印度洋海温异常对西北太平洋低层反气旋异常的影响 总被引：7，自引：0，他引：7
采用1957—2002年850 hPa风场的ERA-40再分析资料,分析得知西北太平洋低层环流存在着明显的年际变化。这种年际变化表征了西北太平洋夏季风的年际变化,并且会影响东亚夏季风的变化。用Hadley海表面气压以及海表温度资料诊断得到,这种夏季西北太平洋反气旋异常（WPAC,northwest Pacific anomalous anticyclone）的年际变化与北印度洋同期海表温度变化存在很好的相关。用偏相关方法消除N ino3.4信号的同期线性影响,这种同期相关更加显著,而西南热带印度洋的同期海温与WPAC的相关并不显著。数值试验结果表明,北印度洋存在正海温异常时,北印度洋降水偏多,同时伴随着西北太平洋反气旋异常。当只有西南热带印度洋有正海温异常时,北印度洋会出现东风异常且降水减少,而西北太平洋有弱的气旋异常。数值模式结果与观测数据的诊断结果相吻合,说明当夏季北印度洋海表温度为正异常时,可能会产生西北太平洋反气旋异常。 相似文献
11.
赤道西太平洋-印度洋海温异常对亚洲夏季风的影响 总被引：8，自引：0，他引：8
本文采用了p-σ五层原始方程模式模拟并研究了赤道西太平洋-印度洋海温距平场对亚洲夏季风的影响,计算了四种不同的海温距平试验方案。试验结果表明赤道西太平洋海温正距平使对流层下层的印度低压明显加强,副高北挺,季风槽加深,同时加强了对流层上层的反气旋环流。赤道西印度洋暖海温的模拟结果与赤道西太平洋暖海温对上述系统的影响相反,而赤道西印度洋冷海温对季风环流的影响与赤道西太平洋暧海温的影响一致。试验进一步表明赤道西太平洋-印度洋海温距平的纬向梯度方向对亚洲夏季风的影响是主要的,这一结论与实际观测结果一致。本文进一步讨论了赤道海温距平对越赤道气流、印度洋赤道东-西纬向环流和非绝热加热场的影响,结果都表明赤道西太平洋海温正距平和赤道西印度洋海温负距平的模拟特征与反El Nino年亚洲夏季环流特征类似,而赤道西印度洋海员正距平的模拟特征与El Nino年亚洲夏季坏流特征类似。 相似文献
12.
Predictability of the western North Pacific summer climate demonstrated by the coupled models of ENSEMBLES 总被引：1，自引：0，他引：1
The Asian monsoon system, including the western North Pacific (WNP), East Asian, and Indian monsoons, dominates the climate of the Asia-Indian Ocean-Pacific region, and plays a significant role in the global hydrological and energy cycles. The prediction of monsoons and associated climate features is a major challenge in seasonal time scale climate forecast. In this study, a comprehensive assessment of the interannual predictability of the WNP summer climate has been performed using the 1-month lead retrospective forecasts (hindcasts) of five state-of-the-art coupled models from ENSEMBLES for the period of 1960–2005. Spatial distribution of the temporal correlation coefficients shows that the interannual variation of precipitation is well predicted around the Maritime Continent and east of the Philippines. The high skills for the lower-tropospheric circulation and sea surface temperature (SST) spread over almost the whole WNP. These results indicate that the models in general successfully predict the interannual variation of the WNP summer climate. Two typical indices, the WNP summer precipitation index and the WNP lower-tropospheric circulation index (WNPMI), have been used to quantify the forecast skill. The correlation coefficient between five models’ multi-model ensemble (MME) mean prediction and observations for the WNP summer precipitation index reaches 0.66 during 1979–2005 while it is 0.68 for the WNPMI during 1960–2005. The WNPMI-regressed anomalies of lower-tropospheric winds, SSTs and precipitation are similar between observations and MME. Further analysis suggests that prediction reliability of the WNP summer climate mainly arises from the atmosphere–ocean interaction over the tropical Indian and the tropical Pacific Ocean, implying that continuing improvement in the representation of the air–sea interaction over these regions in CGCMs is a key for long-lead seasonal forecast over the WNP and East Asia. On the other hand, the prediction of the WNP summer climate anomalies exhibits a remarkable spread resulted from uncertainty in initial conditions. The summer anomalies related to the prediction spread, including the lower-tropospheric circulation, SST and precipitation anomalies, show a Pacific-Japan or East Asia-Pacific pattern in the meridional direction over the WNP. Our further investigations suggest that the WNPMI prediction spread arises mainly from the internal dynamics in air–sea interaction over the WNP and Indian Ocean, since the local relationships among the anomalous SST, circulation, and precipitation associated with the spread are similar to those associated with the interannual variation of the WNPMI in both observations and MME. However, the magnitudes of these anomalies related to the spread are weaker, ranging from one third to a half of those anomalies associated with the interannual variation of the WNPMI in MME over the tropical Indian Ocean and subtropical WNP. These results further support that the improvement in the representation of the air–sea interaction over the tropical Indian Ocean and subtropical WNP in CGCMs is a key for reducing the prediction spread and for improving the long-lead seasonal forecast over the WNP and East Asia. 相似文献
13.
印度洋海温异常年际变率模态对中国东部地区夏季降水影响机制的数值试验 总被引：3，自引：2，他引：1
利用ECHAM5全球大气环流模式研究了印度洋海温异常年际变率模态从冬至夏的演变对我国东部地区夏季降水影响的机制。观测资料研究表明:对于正的印度洋海温异常年际变率模态,春、夏季热带印度洋和澳大利亚以西洋面(东极子)均为水汽的异常源区,向马达加斯加以东南洋面(西极子)及印度洋邻近大陆提供水汽。夏季,印度洋地区南极涛动、马斯克林高压加强;而印度季风低压和南亚高压均减弱,对应于印度夏季风减弱。夏季印度洋地区正压性的纬向风异常经向遥相关使热带印度洋地区出现西风异常,导致海洋性大陆地区对流活动减弱,而菲律宾海地区对流活动加强,进而导致西太平洋副热带高压偏弱、位置偏东北。对于负的印度洋海温异常年际变率模态,则反之。模式结果基本支持了已有的观测资料诊断结果。 相似文献
14.
冬季和春季印度洋海温异常年际变率模态对中国东部夏季降水的可能影响过程 总被引：11，自引：4，他引：7
印度洋热力状况是影响全球气候变化和亚洲季风变异的一个重要的因素,但以往研究更多关注热带印度洋海温的变化,对南印度洋中高纬地区海温变化关注不够,由此限制了我们对印度洋的全面认识.本文研究了年际尺度上整个印度洋海温异常主导模态的特征及其对我国东部地区夏季降水的可能影响过程,以期望为气候变异研究及预测提供理论依据.研究结果表明:全印度洋海温异常年际变率的主导模态特征是在南印度洋副热带地区海温异常呈现西南—东北反向变化的偶极子模态,西极子位于马达加斯加以东南洋面,东极子位于澳大利亚以西洋面;同时,热带印度洋海温异常与东极子一致.当西极子为正的海温异常,东极子、热带印度洋为负异常时定义为正的印度洋海温异常年际变率模态;反之,则为负的印度洋海温异常年际变率模态.从冬至春,印度洋海温异常年际变率模态具有较好的季节持续性;与我国长江中游地区夏季降水显著负相关,而与我国华南地区夏季降水显著正相关.其可能的影响过程为:对于正的冬、春季印度洋海温异常年际变率模态事件,印度洋地区异常纬向风的经向大气遥相关使得热带印度洋盛行西风异常,导致春、夏季海洋性大陆对流减弱,使夏季西太平洋副热带高压强度偏弱、位置偏东偏北,造成华南地区夏季降水增多,长江中游地区降水减少;反之亦然.同时,印度洋海温异常年际变率模态可通过改变印度洋和孟加拉湾向长江中游地区的水汽输送而影响其夏季降水. 相似文献
15.
The interannual variation of East Asia summer monsoon (EASM) rainfall exhibits considerable differences between early summer [May–June (MJ)] and peak summer [July–August (JA)]. The present study focuses on peak summer. During JA, the mean ridge line of the western Pacific subtropical High (WPSH) divides EASM domain into two sub-domains: the tropical EA (5°N–26.5°N) and subtropical-extratropical EA (26.5°N–50°N). Since the major variability patterns in the two sub-domains and their origins are substantially different, the Part I of this study concentrates on the tropical EA or Southeast Asia (SEA). We apply the predictable mode analysis approach to explore the predictability and prediction of the SEA peak summer rainfall. Four principal modes of interannual rainfall variability during 1979–2013 are identified by EOF analysis: (1) the WPSH-dipole sea surface temperature (SST) feedback mode in the Northern Indo-western Pacific warm pool associated with the decay of eastern Pacific El Niño/Southern Oscillation (ENSO), (2) the central Pacific-ENSO mode, (3) the Maritime continent SST-Australian High coupled mode, which is sustained by a positive feedback between anomalous Australian high and sea surface temperature anomalies (SSTA) over Indian Ocean, and (4) the ENSO developing mode. Based on understanding of the sources of the predictability for each mode, a set of physics-based empirical (P-E) models is established for prediction of the first four leading principal components (PCs). All predictors are selected from either persistent atmospheric lower boundary anomalies from March to June or the tendency from spring to early summer. We show that these four modes can be predicted reasonably well by the P-E models, thus they are identified as the predictable modes. Using the predicted PCs and the corresponding observed spatial patterns, we have made a 35-year cross-validated hindcast, setting up a bench mark for dynamic models’ predictions. The P-E hindcast prediction skill represented by domain-averaged temporal correlation coefficient is 0.44, which is twice higher than the skill of the current dynamical hindcast, suggesting that the dynamical models have large rooms to improve. The maximum potential attainable prediction skills for the peak summer SEA rainfall is also estimated and discussed by using the PMA. High predictability regions are found over several climatological rainfall centers like Indo-China peninsula, southern coast of China, southeastern SCS, and Philippine Sea. 相似文献
16.
Snow cover on the Tibetan Plateau (TP) has been shown to be essential for the East Asian summer monsoon. In this paper, we demonstrate that tropical cyclone (TC) 04B (1999) in the northern Indian Ocean, which made landfall during the autumn of 1999, may have contributed to climate anomalies over East Asia during the following spring and summer by increasing snow cover on the TP. Observations indicate that snow cover on the TP increased markedly after TC 04B (1999) made landfall in October of 1999. Sensitivity experiments, in which the TC was removed from a numerical model simulation of the initial field, verified that TC 04B (1999) affected the distribution as well as increased the amount of snow on the TP. In addition, the short-term numerical modeling of the climate over the region showed that the positive snow cover anomaly induced negative surface temperature, negative sensible heat flux, positive latent heat flux, and positive soil temperature anomalies over the central and southern TP during the following spring and summer. These climate anomalies over the TP were associated with positive (negative) summer precipitation anomalies over the Yangtze River valley (along the southeastern coast of China). 相似文献
17.
LIN Zhaohui WANG Huijun ZHOU Guangqing CHEN Hong LANG Xianmei ZHAO Yan ZENG Qingcun 《大气科学进展》2004,21(3):456-466
Recent advances in dynamical climate prediction at the Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP/CAS) during the last five years have been briefly described in this paper. Firstly,the second generation of the IAP dynamical climate prediction system (IAP DCP-II) has been described,and two sets of hindcast experiments of the summer rainfall anomalies over China for the periods of 1980-1994 with different versions of the IAP AGCM have been conducted. The comparison results show that the predictive skill of summer rainfall anomalies over China is improved with the improved IAP AGCM in which the surface albedo parameterization is modified. Furthermore, IAP DCP-II has been applied to the real-time prediction of summer rainfall anomalies over China since 1998, and the verification results show that IAP DCP-II can quite well capture the large scale patterns of the summer flood/drought situations over China during the last five years (1998-2002). Meanwhile, an investigation has demonstrated the importance of the atmospheric initial conditions on the seasonal climate prediction, along with studies on the influences from surface boundary conditions (e.g., land surface characteristics, sea surface temperature).Certain conclusions have been reached, such as, the initial atmospheric anomalies in spring may play an important role in the summer climate anomalies, and soil moisture anomalies in spring can also have a significant impact on the summer climate anomalies over East Asia. Finally, several practical techniques(e.g., ensemble technique, correction method, etc.), which lead to the increase of the prediction skill for summer rainfall anomalies over China, have also been illustrated. The paper concludes with a list of criticalre quirements needed for the further improvement of dynamical seasonal climate prediction. 相似文献
18.
Based on the NCEP/NCAR reanalysis data and Chinese observational data during 1961–2013, atmospheric circulation patterns over East Asia in summer and their connection with precipitation and surface air temperature in eastern China as well as associated external forcing are investigated. Three patterns of the atmospheric circulation are identified, all with quasi-barotropic structures: (1) the East Asia/Pacific (EAP) pattern, (2) the Baikal Lake/Okhotsk Sea (BLOS) pattern, and (3) the eastern China/northern Okhotsk Sea (ECNOS) pattern. The positive EAP pattern significantly increases precipitation over the Yangtze River valley and favors cooling north of the Yangtze River and warming south of the Yangtze River in summer. The warm sea surface temperature anomalies over the tropical Indian Ocean suppress convection over the northwestern subtropical Pacific through the Ekman divergence induced by a Kelvin wave and excite the EAP pattern. The positive BLOS pattern is associated with below-average precipitation south of the Yangtze River and robust cooling over northeastern China. This pattern is triggered by anomalous spring sea ice concentration in the northern Barents Sea. The anomalous sea ice concentration contributes to a Rossby wave activity flux originating from the Greenland Sea, which propagates eastward to North Pacific. The positive ECNOS pattern leads to below-average precipitation and significant warming over northeastern China in summer. The reduced soil moisture associated with the earlier spring snowmelt enhances surface warming over Mongolia and northeastern China and the later spring snowmelt leads to surface cooling over Far East in summer, both of which are responsible for the formation of the ECNOS pattern. 相似文献