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1.
基于CRU、CMAP、PREC/L、CN05.1、NCEP/NCAR以及全国160个台站的月降水资料,采用经验正交函数(EOF)分解、依赖于季节的经验正交函数(SEOF)分解、滑动平均、空间相关、回归以及合成分析等多元统计方法研究了近50 a华南盛夏降水异常的基本特征及其季节内差异,并讨论了其大气环流异常。结果表明:(1)盛夏7、8月华南降水异常的空间分布都表现为区域一致性,即整个华南地区都为正(负)异常。(2)华南盛夏降水异常在月季变化的时间尺度上存在着同位相和反位相演变,1963—1993年,华南7、8月降水大致为反相演变,即7月华南全区一致偏涝(旱)而8月一致偏旱(涝);1994—2015年,二者总体表现为同相演变,即7月华南全区降水一致偏涝(旱)时8月亦一致偏涝(旱)。(3)大气遥相关型的变化是同相和反相两种演变模态产生的主要原因,同相期间对流层中层7月表现为欧亚遥相关(EU)和东亚太平洋遥相关(EAP)相互配置,8月表现为类似EU和太平洋北美遥相关(PNA)型;反相期间对流层中层7月表现为类似北美东西遥相关(NAEW)型,8月表现为类似EAP型。(4)西太平洋副热带高压的变化与华南盛夏降水季节内差异密切相关。反相期间7月与8月西太平洋副热带高压的差异主要体现在东西位置变化较大,而同相期间变化不大。  相似文献   

2.
华北雨季开始早晚与大气环流和海表温度异常的关系   总被引:2,自引:0,他引:2  
本文利用国家气候中心的1961~2016年华北雨季监测资料、美国国家环境预报中心/大气研究中心(NCEP/NCAR)的大气再分析资料、NOAA海表温度资料,分析了华北雨季开始早晚的气候特征,然后利用合成分析、回归分析等方法,研究了华北雨季开始早晚与大气环流系统和关键区域海表温度的关系。结果表明,56 a来华北雨季开始最早在7月6日,最晚在8月10日,1961~2016年华北雨季开始平均日期是7月18日。华北雨季开始时间具有显著的年际变化,但雨季发生早晚的长期变化趋势不太明显。华北雨季开始早晚与西太平洋副热带高压(简称副高)、东亚副热带西风急流、东亚夏季风等环流系统的活动关系密切,当对流层高层副热带西风急流建立偏早偏强,中层西太平洋副高第二次北跳偏早,低层东亚夏季风北进提前时,华北雨季开始偏早,反之华北雨季开始偏晚。华北雨季开始早晚与春、夏季热带印度洋、赤道中东太平洋海表温度关系显著且稳定,当Ni?o3.4指数和热带印度洋全区海表温度一致模态(IOBW)为正值时,贝加尔湖大陆高压偏强,副高偏强偏南,东亚夏季风偏弱,导致华北雨季开始偏晚;当海表温度指数为负值时,则华北雨季开始偏早。  相似文献   

3.
北方雨季中国东部降水异常模态的环流特征及成因分析   总被引:2,自引:2,他引:0  
郭恒  张庆云 《大气科学》2016,40(5):946-964
根据1958~2011年中国东部(105°E以东)316站逐日降水资料及NCEP/NCAR逐日再分析资料,利用统计分析、物理量诊断等方法,探讨北方雨季(7月11日至8月31日)中国东部降水异常模态及同期、前期的大气环流特征。分析发现,北方雨季中国东部降水异常表现为三个相互独立的降水模态:第一模态为偏西型,当其时间系数为正(负)时,河套地区降水偏多(少),江淮流域上游降水偏少(多),南方大部降水偏多(少);第二模态为北方一致型,当其时间系数为正(负)时,北方降水一致偏多(少),长江流域降水偏少(多);第三模态为偏东型,当其时间系数为正(负)时,东北南部至长江中游降水偏多(少),华东沿海降水偏少(多)。研究发现,造成北方雨季三个降水异常模态的环流特征各不相同:偏西型降水主要受西亚高空副热带西风急流位置南北偏移影响;北方一致型降水主要由东亚-太平洋遥相关波列导致;偏东型降水主要与海陆气压异常对比造成的东亚夏季风变化有关。此外,三个模态与前期环流异常有密切联系。第一模态的正(负)异常由7月上旬200 hPa来自北大西洋的异常波列造成乌拉尔山位势高度负(正)异常和巴尔喀什湖以南位势高度正(负)异常引起。第二模态的正(负)异常与前期7月上旬200 hPa北大西洋上位势高度负(正)异常产生的沿中纬度(高纬度)路径向下游传播的波列有关。第三模态的正(负)异常由春季3月份低层蒙古上空异常的气旋(反气旋)持续至同期造成。  相似文献   

4.
利用1979~2015年NCEP/NCAR发布的月平均全球再分析资料,分析了热带印度洋-西太平洋水汽输送异常对中国东部夏季降水的影响及其形成机理。研究结果表明:热带印度洋-西太平洋地区(10°S~30°N,60°~140°E)夏季异常水汽输送主要包括两个模态,他们可以解释总的水汽输送异常34%的方差。其中,第一模态(EOF1)表现为异常水汽沿反气旋从热带西太平洋经过南海及孟加拉湾输送到中国东部上空,对应南海、孟加拉湾水汽路径输送均偏多,此时西太平洋副热带高压显著偏强,异常水汽在长江中下游地区辐合并伴随显著上升运动,有利于长江中下游降水偏多;第二模态(EOF2)表现为异常水汽从热带印度洋沿阿拉伯海、印度半岛、中南半岛等呈反气旋式输送,华南上空相应出现气旋式水汽输送异常,并对应异常水汽辐合和上升运动,有利于华南降水偏多。就可能的外部成因而言,EOF1与ENSO关系密切,表现为前冬热带中东太平洋显著偏暖,夏季同期热带北印度洋、南海上空显著偏暖,造成西太平洋副热带高压显著偏强,异常水汽主要来源于热带西太平洋和南海;EOF2与同期热带印度洋偶极子(TIOD)异常有关,TIOD为正位相时热带印度洋上空出现异常东风,华南上空出现异常气旋并伴随水汽异常辐合,异常水汽主要来源于热带南印度洋。  相似文献   

5.
Severe flooding occurred in Northeast China (NEC) in summer 2013. Compared with the rainfall climatology of the region, the rainy season began earlier in 2013 and two main rainy periods occurred from late June to early July and from mid July to early August, respectively. During the summer season of 2013, the western Pacific subtropical high (WPSH) was located farther westward, which strengthened the southerly winds on its west side in the lower troposphere. Under this circulation pattern, more water vapor was transported to North China and NEC. Another moisture transport pathway to NEC was traced to the cross-equatorial flow over the Bay of Bengal. In mid–high latitudes in summer 2013, the Northeast Cold Vortex (NECV) was much stronger and remained stable over NEC. Thus, the cold air flow from its northwest side frequently met with the warm and wet air from the south to form stronger moisture convergence at lower levels in the troposphere, resulting in increased precipitation over the region. Correlation analysis indicated that the NECV played a more direct role than the WPSH. Synoptic analyses of the two heaviest flood cases on 2 and 16 July confirmed this conclusion. The four wettest summers in NEC before 2000 were also analyzed and the results were consistent with the conclusion that both the WPSH and the NECV led to the intense rainfall in NEC, but the NECV had a more direct role.  相似文献   

6.
The characteristics of droughts and floods in China during the summers (May–August) of 2016 and 1998 were compared in great detail, together with the associated atmospheric circulations and external-forcing factors. Following results are obtained. (1) The precipitation was mostly above normal in China in summer 2016, with two main rainfall belts located in the Yangtze River valley (YRV) and North China. Compared with 1998, a similar rainfall belt was located over the YRV, with precipitation 100% and more above normal. However, the seasonal processes of Meiyu were different. A typical “Secondary Meiyu” occurred in 1998, whereas dry conditions dominated the YRV in 2016. (2) During May–July 2016, the Ural high was weaker than normal, but it was stronger than normal in 1998. This difference resulted from fairly different distributions of sea surface temperature anomalies (SSTAs) over the North Atlantic Ocean during the preceding winter and spring of the two years. (3) Nonetheless, tropical and subtropical circulation systems were much more similar in May–July of 2016 and 1998. The circulation systems in both years were characterized by a stronger than normal and more westward-extending western Pacific subtropical high (WPSH), a weaker than normal East Asian summer monsoon (EASM), and anomalous convergence of moisture flux in the mid and lower reaches of the YRV. These similar circulation anomalies were attributed to the similar tropical SSTA pattern in the preceding seasons, i.e., the super El Niño and strong warming in the tropical Indian Ocean. (4) Significant differences in the circulation pattern were observed in August between the two years. The WPSH broke up in August 2016, with its western part being combined with the continental high and persistently dominating eastern China. The EASM suddenly became stronger, and dry conditions prevailed in the YRV. On the contrary, the EASM was weaker in August 1998 and the “Secondary Meiyu” took place in the YRV. The Madden–Julian Oscillation (MJO) was extremely active in August 2016 and stayed in western Pacific for 25 days. It triggered frequent tropical cyclone activities and further influenced the significant turning of tropical and subtropical circulations in August 2016. In contrast, the MJO was active over the tropical Indian Ocean in August 1998, conducive to the maintenance of a strong WPSH. Alongside the above oceanic factors and atmospheric circulation anomalies, the thermal effect of snow cover over the Qinghai–Tibetan Plateau from the preceding winter to spring in 2016 was much weaker than that in 1998. This may explain the relatively stronger EASM and more abundant precipitation in North China in 2016 than those in 1998.  相似文献   

7.
根据1958~2011年中国东部(105°E以东)316站逐日降水观测资料及环流逐日再分析资料,利用统计分析、物理量诊断等方法,探讨华南前汛期盛期(5月21日至6月10日)中国东部降水异常模态及对应大气环流特征和可能成因。分析发现,华南前汛期盛期中国东部降水异常表现为两个相互独立的降水模态:第一模态为华南全区一致型,当其时间系数为正(负)时,整个华南降水偏多(少),黄河中游降水偏少(多);第二模态为华南沿海东部型,当其时间系数为正(负)时,华南沿海东部降水偏多(少),而长江中下游降水偏少(多)。研究发现,造成华南前汛期盛期两个降水型的环流特征有明显差异:全区一致型降水主要受东亚高空西风急流南北偏移、副热带高压脊东西偏移及低层南海北部异常风场影响;沿海东部型降水主要由东亚高空西风急流强弱及位置异常、副热带高压强弱变化、低层日本以南西太平洋异常风场导致。此外,两个降水型对应环流异常的成因也各不相同。第一模态中高层环流异常由丝绸之路遥相关型导致,低层风场异常在5月下旬由阿拉伯海向下游传播的风场异常波列引起,在6月上旬则由西太平洋西移的异常反气旋(气旋)造成。第二模态的中高层环流异常先后由极地—欧亚遥相关型、环球遥相关型引起,低层风场异常由高层环流异常的动力作用造成。两降水型均存在整层深厚的垂直运动,但第一模态的垂直运动在高层闭合且对应显著的辐合辐散异常,第二模态则不具有上述特征。  相似文献   

8.
利用中国北方季风区46站盛夏降水观测资料,采用经验正交函数分解(EOF)、合成分析和相关分析等方法,将盛夏北方季风区划分为4类雨型:A型全区一致偏多、B型全区一致偏少、C型华北偏多东北偏少和D型华北偏少东北偏多,并对比分析了四类雨型同期大气环流和前期至同期海温演变特征的差异,以探讨其形成机制及前期预测信号。结果表明:四类雨型对应的东亚大气环流和海温演变具有明显的差异。A型年:东亚副热带西风急流(西风急流)和西太平洋副热带高压(西太副高)位置偏北,东亚夏季风偏强,欧亚中高纬以纬向环流为主,北方季风区低层辐合、高层辐散,冷暖空气在北方季风区辐合;从前冬至夏季,赤道中东太平洋类似于东部型La Ni?a发展年的海温异常分布,北大西洋海温三极子模态(NAT)负位相逐渐形成;B型年则基本相反。C(D)型年:西风急流异常偏北(略偏南),西太副高偏西(东)偏北,华北盛行西南(西北)风,东北盛行东北(东南)风,华北地区对流层低层辐合(辐散)高层辐散(辐合),东北地区对流层低层辐散(辐合)高层辐合(辐散),东北冷涡较弱(活跃);从前冬至夏季,赤道中东太平洋和印度洋逐渐由暖海温向冷海温转变(El Ni?o分布形态逐渐形成)。  相似文献   

9.
利用1961—2017年吉林省46个地面气象观测站点降水月数据及NCEP/NCAR全球月平均位势高度场、风场再分析资料,采用EOF、SEOF、滑动相关、回归分析及合成分析等方法研究了近57 a吉林省盛夏7月、8月降水的基本特征,季内差异及其大气环流异常特征。结果表明:吉林省盛夏7月、8月降水在空间上以全区一致型为主,整个吉林省均表现为正(负)异常;吉林省7月、8月降水在1986—2004年基本呈现反位相变化,即7月多(少),8月少(多);2005—2017年两个月份呈现同位相变化,即7月少(多),8月少(多);反位相年中7月降水与北美东西遥相关(NAEW)及东亚太平洋相关(EAP)有关,8月降水与欧亚遥相关(EU)有关,同位相年中7月、8月降水与副热带高压强度和位置异常有关;吉林省盛夏降水同西太平洋副热带高压有着密切关系,反位相年高、低值年副热带高压的东西位置差异显著,同位相年期间副热带高压异常西伸北进、面积增大。  相似文献   

10.
东北夏季降水分型及其大气环流特征   总被引:1,自引:1,他引:0       下载免费PDF全文
利用1961—2010年中国东北122站逐日降水资料、NCEP/NCAR再分析资料及中国国家气候中心整理的160站月平均温度资料,对东北6月、7月、8月的降水进行分型,在此基础上分析各类降水型对应的环流形势。结果表明:东北6月、7月、8月降水均可划分为两大类四小类,6月与8月的分型结果相同,为全区一致型(同多型、同少型)和南北反位相型(南部型、北部型),7月可分为全区一致型(同多型、同少型)和东西反位相型(东部型、西部型)。6月东北降水主要受东北冷涡影响,冷涡越强,降水越多,且当鄂霍次克海阻塞高压出现明显异常时,6月东北降水将呈现南北反位相特征;7月、8月降水主要受东亚夏季风影响,其中东北降水全区一致型与西太平洋副热带高压的位置以及沿亚洲西风急流东传的波列有关,而降水南北(东西)反位相型则与西太平洋副热带高压的强度有关。  相似文献   

11.
Observations show that the summer precipitation over East China often goes through decadal variations of opposite sign over North China and the Yangtze River valley (YRV), such as the “southern flood and northern drought” pattern that occurred during the late 1970s–1990s. In this study it is shown that a modulation of the Pacific Decadal Oscillation (PDO) on the summer precipitation pattern over East China during the last century is partly responsible for this characteristic precipitation pattern. During positive PDO phases, the warm winter sea surface temperatures (SSTs) in the eastern subtropical Pacific along the western coast of North American propagate to the tropics in the following summer due to weakened oceanic meridional circulation and the existence of a coupled wind–evaporation–SST feedback mechanism, resulting in a warming in the eastern tropical Pacific Ocean (5°N–20°N, 160°W–120°W) in summer. This in turn causes a zonal anomalous circulation over the subtropical–tropical Pacific Ocean that induces a strengthened western Pacific subtropical high (WPSH) and thus more moisture over the YRV region. The end result of these events is that the summer precipitation is increased over the YRV region while it is decreased over North China. The suggested mechanism is found both in the observations and in a 600-years fully coupled pre-industrial multi-century control simulations with Bergen Climate Model. The intensification of the WPSH due to the warming in the eastern tropical Pacific Ocean was also examined in idealized SSTA-forced AGCM experiments.  相似文献   

12.
张雯  董啸  薛峰 《大气科学》2020,44(2):390-406
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。  相似文献   

13.
The interannual variations of summer surface air temperature over Northeast China (NEC) were investigated through a month-to-month analysis from May to August. The results suggested that the warmer temperature over NEC is related to a local positive 500-hPa geopotential height anomaly for all four months. However, the teleconnection patterns of atmospheric circulation anomalies associated with the monthly surface air temperature over NEC behave as a distinguished subseasonal variation, although the local positive height anomaly is common from month to month. In May and June, the teleconnection pattern is characterized by a wave train in the upper and middle troposphere from the Indian Peninsula to NEC. This wave train is stronger in June than in May, possibly due to the positive feedback between the wave train and the South Asian rainfall anomaly in June, when the South Asian summer monsoon has been established. In July and August, however, the teleconnection pattern associated with the NEC temperature anomalies is characterized by an East Asia/Pacific (EAP) or Pacific/Japan (PJ) pattern, with the existence of precipitation anomalies over the Philippine Sea and the South China Sea. This pattern is much clearer in July corresponding to the stronger convection over the Philippine Sea compared to that in August.  相似文献   

14.
The interannual variability of autumn precipitation over South China and its relationship with atmospheric circulation and SST anomalies are examined using the autumn precipitation data of 160 stations in China and the NCEP-NCAR reanalysis dataset from 1951 to 2004. Results indicate a strong interannual variability of autumn precipitation over South China and its positive correlation with the autumn western Pacific subtropical high (WPSH). In the flood years, the WPSH ridge line lies over the south of South China and the strengthened ridge over North Asia triggers cold air to move southward. Furthermore, there exists a significantly anomalous updraft and cyclone with the northward stream strengthened at 850 hPa and a positive anomaly center of meridional moisture transport strengthening the northward warm and humid water transport over South China. These display the reverse feature in drought years. The autumn precipitation interannual variability over South China correlates positively with SST in the western Pacific and North Pacific, whereas a negative correlation occurs in the South Indian Ocean in July. The time of the strongest lag-correlation coefficients between SST and autumn precipitation over South China is about two months, implying that the SST of the three ocean areas in July might be one of the predictors for autumn precipitation interannual variability over South China. Discussion about the linkage among July SSTs in the western Pacific, the autumn WPSH and autumn precipitation over South China suggests that SST anomalies might contribute to autumn precipitation through its close relation to the autumn WPSH.  相似文献   

15.
西北太平洋副热带高压(以下简称副高)是影响中国气候的大尺度环流系统,研究次季节尺度副高东西变动对西南地区降水的影响具有十分重要的意义。本文首先根据副高东西变动的关键区位置分别定义了前夏和后夏副高东西变动指数,指数具有显著的10~30天次季节周期,能够很好表征副高次季节东西变动的特征。根据指数的标准化值,共选取前夏和后夏东西事件195次(1374天)。进一步对东西事件的分析表明次季节尺度上副高东西变动与西南地区降水有十分密切的联系,在副高偏西(东)事件中,副高经历了由东→西→东(西→东→西)逐渐变化的过程,相应西南大部分地区的降水经历了逐渐由少→多→少(多→少→多)的演变,次季节尺度上西南地区降水对副高变化的响应与副高东西变动过程中副高北侧及副高主体区域的水汽和气流的垂直变化有很大的关系。另外,分析发现对于西南地区而言,受副高次季节东西变动的影响,贵州和重庆地区降水变化的一致性比较好,而云南和四川地区降水变化的区域差异较大,尤其是云南。前夏,在副高东西变动过程中云南大部分地区的降水呈现出与西南大部分地区,尤其与贵州和重庆地区的降水变化完全相反的特征,即副高偏西(东)事件中,云南大部分地区的降水偏少(多),西南其它大部地区降水偏多(少);后夏,除云南中北部地区,西南大部分地区的降水变化基本一致。  相似文献   

16.
2011年8月气候异常及成因分析   总被引:4,自引:1,他引:3  
在总结2011年8月我国气候异常与大气环流特征的基础上,针对西南干旱和热带气旋活动偏少两大气候异常事件的成因进行了分析。结果表明:高度场偏高、西太平洋副热带高压偏强、夏季风偏弱和水汽条件较差等大气环流异常是导致高温干旱的主要原因;中部型拉尼娜事件的滞后影响和印度洋偏暖的影响是西南干旱的重要外强迫条件。南海对流活动偏弱,菲律宾以东季风槽位置偏北,热带气旋活动区域垂直风切偏大,西北太平洋副热带高压偏强等因素导致热带气旋活动偏少。  相似文献   

17.
中国北方秋雨与热带中太平洋海表冷却的关系   总被引:7,自引:1,他引:6  
韩晋平  张人禾  苏京志 《大气科学》2013,37(5):1059-1071
本文利用1951~2011年中国160站降水、NCEP/NCAR再分析资料和NOAA延长重建海表温度 (NOAA extended reconstructed SST) 资料,研究了中国9月北方秋雨的年际变化特征及其成因,并用ECHAM5大气环流模式开展了数值试验,最后对2011年9月历史罕见秋雨进行了分析。研究发现,中国北方秋雨有明显的年际和年代际变化,19世纪60年代到1980年代中期,北方秋雨偏多,1950年代、1980年代后期和1990年代秋雨偏少。北方秋雨与西太平洋副热带高压的西伸有密切联系,北方秋雨偏多时,副热带高压偏西偏强,有利于偏南风向北输送水汽并在中国北方辐合。西太平洋副热带高压的加强西伸与热带中太平洋的海表冷却密切有关,偏低的热带中太平洋海表温度(CTSSTI)使其上的对流活动受到抑制,热带西太平洋对流异常旺盛,在西北太平洋出现异常反气旋,加强东亚—西北太平洋的EAP波列,引起西太平洋副热带高压明显西伸,导致秋雨偏多。反之,热带中太平洋海表偏暖,副热带高压偏弱偏南,秋雨偏少。2011年9月北方秋雨的环流异常及成因与统计分析和数值模拟结果基本一致。  相似文献   

18.
利用我国160个站点58年(1951~2008年)的降水资料、NCEP/NCAR再分析环流资料和Hadley海表温度资料,对我国秋季降水年际变化的特征和可能成因进行了分析。结果显示,秋季降水前两模态分别反映长江流域及以南地区和长江以北的江淮、黄淮、华北、四川盆地北部至河套等地降水的变化,两降水模态的变化都以年际尺度为主,年代际变化特征不明显。就环流形势而言,第一模态的年际变化主要与西太平洋副热带高压的强度及相应的对流层低层菲律宾群岛附近的异常气旋/反气旋联系紧密,第二模态的年际变化则可能受到副热带高压的南北位置和相应的日本岛附近的异常气旋/反气旋的影响。同时,两模态及相应的异常环流还分别与热带东印度洋和热带西太平洋附近的异常垂直运动关系密切,热带地区的异常垂直运动可能通过经圈方向的异常环流影响到东亚地区。此外,两降水模态不仅与热带地区的异常环流关系密切,而且与热带海温异常也存在紧密的联系。与两模态相关联的热带太平洋海温异常显示出不同的分布特征,当热带东太平洋偏暖/冷,西太平洋偏冷/暖时,长江以南地区降水偏多/少。而当热带东太平洋和中太平洋一致偏暖/冷时,长江以北地区降水易偏少/多。两降水模态与热带海温及热带地区异常环流之间的密切关系显示热带太平洋海温异常的不同分布可能通过激发不同的热带地区异常垂直环流形势而对降水产生影响。  相似文献   

19.
利用中国东部160个气象观测站1951年-2012年夏季(6-8月)的月平均降水资料,运用EOF分析方法,分析中国东部夏季降水的时空分布特征及其与西太平洋副热带高压的关系。结果表明:(1)夏季,中国东部降水大值区域从华南移到江淮流域,然后到达华北和东北地区。(2) 中国东部夏季降水EOF第一模态空间分布为长江以北与黄河以南地区之间存在一个降水大值雨带, EOF第二模态显示出整个东部沿海地区的降水量以长江为界,长江以南降水偏少,长江以北降水偏多,且江南与江北的降水呈反位相。(3)在西太平洋副热带高压较强的年份,江淮流域降水偏少,华北地区降水偏多;西太平洋副热带高压较弱的年份,江淮流域降水偏多,华南地区降水偏少。  相似文献   

20.
The unprecedented Zhengzhou heavy rainfall in July 2021 occurred under the background of a northward shift of the western Pacific subtropical high(WPSH). Although the occurrence of this extreme event could not be captured by seasonal predictions, a skillful prediction of the WPSH variation might have warned us of the increased probability of extreme weather events in Central and Northern China. However, the mechanism for the WPSH variation in July2021 and its seasonal predictability are still un...  相似文献   

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