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191.
吴爱明  倪允琪 《大气科学》1999,23(6):673-684
利用混合海气耦合模式45年模拟积分的结果,对模式大气的年际变化性进行了分析。结果表明,在这样的海气耦合系统中,大气分量表现出显著的年际变化,冬、夏季异常环流型的分布与观测资料的分析结果基本相符。因此,该模式不仅能较好地再现热带太平洋的ENSO变化性,而且能较好地再现ENSO引起的全球大气环流的年际变化性。  相似文献   
192.
Interdecadal variations of El Niño/Southern Oscillation (ENSO) signals and annual cycles appearing in the sea surface temperature (SST) and zonal wind in the equatorial Pacific during 1950–1997 are studied by wavelet, empirical orthogonal function (EOF) and singular value decomposition (SVD) analyses. The typical timescale of ENSO is estimated to be about 40 months before the late 1970s and 48–52 months after that; the timescale increased by about 10 months. The spatial pattern of the ENSO signal appearing in SST also changed in the 1970s; before that, the area of strong signal spread over the extratropical regions, while it is confined near the equator after that. The center of the strongest signal shifted from the central and eastern equatorial Pacific to the South American coast at that time. These SST fluctuations near the equator are associated with fluctuations of zonal wiond, whose spatial pattern also shifted considerably eastward at that time. In the eastern equatorial Pacific, amplitudes of annual cycles of SST are weak in El Niño years and strong in La Niña years. This relation is not clear, however, in the 1980s and 1990s.  相似文献   
193.
为探究ENSO事件对GNSS ZTD(水汽)周期变化的影响及其相互关系,以河北省为例开展ENSO事件对GNSS ZTD及其周期变化的影响研究。首先利用快速傅里叶变换方法筛选出南方涛动指数(SOI)与GNSS水汽的共同周期,再利用小波变换提取GNSS水汽与SOI共同周期所在的高频项,并将重构的高频项与SOI进行相关性分析。结果表明,SOI与GNSS ZTD存在负相关性,由此推断ENSO事件与GNSS ZTD的周期变化存在一定关联。利用快速傅里叶变换方法分别提取ENSO事件和正常气候下GNSS ZTD的变化周期,分析ENSO事件对GNSS ZTD周期变化的影响,结果表明,ENSO暖事件(厄尔尼诺事件)对GNSS ZTD的最长显著周期存在显著影响;ENSO冷事件(拉尼娜事件)对GNSS ZTD的最长显著周期影响较弱。  相似文献   
194.
Daily precipitation/temperature data collected at 74 weather stations across the Pearl River basin of China (PRBC), for the years 1952–2013, were used to analyse extreme precipitation (EP) processes at annual and seasonal scales in terms of precipitation magnitude, occurrence rates, and timing. Peak‐over‐threshold sampling, modified Mann‐Kendall trend tests, and Poisson regression model were utilized in this study. Causes driving the observed statistical behaviours of EP were investigated, focusing particularly on the impacts of temperature change and the El Niño–Southern Oscillation (ENSO). EP events, which occur mainly during April and September, are most frequent in June. At an annual scale, they are subject to relatively even interannual distributions during the wet season. Significant trends were observed in the magnitude, frequency, and timing of EP events during the dry seasons, although no such trends were seen during the wet seasons. Seasonal shifts in EP can easily trigger sudden flood or drought events and warming temperatures, and ENSO events also have significant impacts on EP processes across the PRBC, as reflected by their increased magnitude and frequency in the western PRBC and decreased precipitation magnitudes in the eastern PRBC during ENSO periods. These results provide important evidence of regional hydrological responses to global climate changes in terms of EP regimes in tropical and subtropical zones.  相似文献   
195.
We investigate a new proxy for ENSO climate variability based on particle‐size data from long‐term, coastal sediment records preserved in a barrier estuary setting. Corresponding ~4–8 year periodicities identified from Wavelet analysis of particle‐size data from Pescadero Marsh in Central Coast California and rainfall data from San Francisco reflect established ENSO periodicity, as further evidenced in the Multivariate ENSO Index (MEI), and thus confirms an important ENSO control on both precipitation and barrier regime variability. Despite the fact that barrier estuary mean particle size is influenced by coastal erosion, precipitation and streamflow, balanced against barrier morphology and volume, it is encouraging that considerable correspondence can also be observed in the time series of MEI, regional rainfall and site‐based mean particle size over the period 1871–2008. This correspondence is, however, weakened after c.1970 by temporal variation in sedimentation rate and event‐based deposition. These confounding effects are more likely when: (i) accommodation space may be a limiting factor; and (ii) particularly strong El Niños, e.g. 1982/1983 and 1997/1998, deposit discrete >cm‐thick units during winter storms. The efficacy of the sediment record of climate variability appears not to be compromised by location within the back‐barrier setting, but it is limited to those El Niños that lead to barrier breakdown. For wider application of this particle size index of ENSO variability, it is important to establish a well‐resolved chronology and to sample the record at the appropriate interval to characterize deposition at a sub‐annual scale. Further, the sample site must be selected to limit the influence of decreasing accommodation space through time (infilling) and event‐based deposition. It is concluded that particle‐size data from back‐barrier sediment records have proven potential for preserving evidence of sub‐decadal climate variability, allowing researchers to explore temporal and spatial patterns in phenomena such as ENSO. Copyright © 2017 John Wiley & Sons, Ltd.  相似文献   
196.
To investigate stable isotopic variability of precipitation in Singapore, we continuously analysed the δ‐value of individual rain events from November 2014 to August 2017 using an online system composed of a diffusion sampler coupled to Cavity Ring‐Down Spectrometer. Over this period, the average value (δ18OAvg), the lowest value (δ18OLow), and the initial value (δ18OInit) varied significantly, ranging from ?0.45 to ?15.54‰, ?0.9 to ?17.65‰, and 0 to ?13.13‰, respectively. All 3 values share similar variability, and events with low δ18OLow and δ18OAvg values have low δ18OInit value. Individual events have limited intraevent variability in δ‐value (Δδ) with the majority having a Δδ below 4‰. Correlation of δ18OLow and δ18OAvg with δ18OInit is much higher than that with Δδ, suggesting that convective activities prior to events have more control over δ‐value than on‐site convective activities. The d‐excess of events also varies considerably in response to the seasonal variation in moisture sources. A 2‐month running mean analysis of δ18O reveals clear seasonal and interannual variability. Seasonal variability is associated with the meridional movement of the Intertropical Convergence Zone and evolution of the Asian monsoon. El Niño–Southern Oscillation is a likely driver of interannual variability. During 2015–2016, the strongest El Niño year in recorded history, the majority of events have a δ18O value higher than the weighted average δ18O of daily precipitation. δ18O shows a positive correlation with outgoing longwave radiation in the western Pacific and the Asian monsoon region, and also with Oceanic Niño Index. During El Niño, the convection centre shifts eastward to the central/eastern Pacific, weakening convective activities in Southeast Asia. Our study shows that precipitation δ‐value contains information about El Niño–Southern Oscillation and the Intertropical Convergence Zone, which has a significant implication for the interpretation of water isotope data and understanding of hydrological processes in tropical regions.  相似文献   
197.
利用日本气象厅提供的西北太平洋台风最佳路径观测资料,选取东海海区为研究范围,统计处理1951—2015年台风各要素资料,研究进入东海海区的台风频数、台风登陆点位置、台风频数及登陆点位置与太平洋年代际振荡(Pacific Decadal Oscillation,PDO)及ENSO的关系、影响台风生成和移动的因素等。结果表明:1)每年的7—9月为东海海区的台风高发季,其中8月最高,登陆台风也有相似趋势。2)进入东海海域的台风频数存在较明显的年际和年代际变化趋势。当PDO处于暖位相时,台风频数较小且有上升趋势,反之亦然。El Niño年进入东海海区的台风频数较常年减少,反之亦然。Niño3.4指数与台风频数整体上为负相关关系,相关系数为-0.32且通过90%置信度检验。3)进入东海海域的台风登陆点纬度变化较大,处于24~36°N之间,且有年代际变化特征。当PDO处于暖(冷)位相时,台风登陆点偏北(偏南)且有向北(南)移动的趋势。而登陆点纬度与ENSO的关系较为复杂。4)西北太平洋副热带高压的位置和强度是引起台风频数及登陆点位置变化的主要原因之一。当PDO处于冷位相时,西北太平洋副热带高压强度偏弱,且副高中心向东向北方向移动,导致进入东海的台风频数偏多,且台风登陆点偏北,反之亦然。  相似文献   
198.
北太平洋涛动(NPO)和东亚冬季风(EAWM)二者是热带外重要的气候系统,不仅对我国甚至对整个东亚气候都有重要影响,对厄尔尼诺-南方涛动(ENSO)的影响也越发受到关注。本研究利用HadISST海温资料以及美国国家环境预报中心(NCEP)月平均气象场再分析资料,采用相关回归等统计方法分析研究了冬季NPO和EAWM对次年冬季ENSO发生、发展影响的差异,并分析了产生差异的可能原因。结果表明,冬季NPO和EAWM对次年冬季ENSO的影响无论是从相关性大小还是触发的ENSO强度上来说都存在明显的差异;进一步分析冬季NPO和EAWM回归的海表面温度(SST)场相关的降水和风场的季节演化特征发现:在热带太平洋区域,冬季NPO和EAWM通过激发赤道西太平洋区域西风和降水异常建立起了相应的海气正反馈机制,而这种正反馈机制在强度和位置上的不同,造成了对ENSO影响的差异。冬季NPO和EAWM年代际变化上的差异可能是另一原因。  相似文献   
199.
1990~1999渤海SSTa年际变化的特征   总被引:8,自引:2,他引:6  
基于 1990~ 1999年逐周的 (18× 18)km分辨率的海表温度 (SST)资料 ,将其与历史资料 (195 9~ 1982 )对比 ,发现近 10年渤海SST较历史SST要高 ,但整体结构特征变化不大。进一步采用EOF方法对渤海SST异常 (SSTa)进行分析 ,得到 3个主要的模态。第一模态对总方差的贡献为 82 .4% ,表现为整个海区SSTa同步升温或降温的特征 ,结合渤海沿岸 2个测站的气温资料的分析 ,认为渤海SSTa第一模态的变化与渤海气温异常变化相互依存 ,另外 ,北黄海SSTa的变化可能是造成渤海SSTa第一模态在海峡口附近变化幅度大的主要因素。第二模态对总方差的贡献为 9.4% ,在空间上其对整个海区SSTa起东升温(东降温 )则西降温 (东升温 )作用 ,可能是ENSO现象影响渤海海温变化最直接的表现。第三模态对总方差的贡献为 5 .0 % ,在空间上其对SSTa起北升温 (北降温 )则南降温 (南升温 )的作用 ,认为其可能与山东陆域气温和黄海流域气温变化有关。  相似文献   
200.
太平洋年代际振荡冷、暖背景下ENSO循环的特征   总被引:12,自引:1,他引:11  
利用英国气象局哈德莱中心的月平均海温距平资料、美国Scripps海洋研究所联合环境分析中心(JEDAC)的海表和次表层海温观测资料以及NCEP/NCAR再分析资料,研究了太平洋年代际振荡(PDO)不同背景下ENSO循环的特征.结果表明,PDO为ENSO循环提供了一个年代际气候背景,在PDO的暖位相时期,El Nino事件发生的频率较高,强度较强;反之,在PDO的冷位相时期,La Nina事件发生的频率较高,强度较强.而且在不同的太平洋年代际振荡背景下,ENSO循环表现出不同的特征.在PDO冷位相时期,发生El Nino(La Nina)事件时,正(负)的SOTA从西太平洋沿温跃层向东传播,正(负)的SSTA从赤道东太平洋向西扩展到中太平洋,ENSO事件先在赤道东太平洋爆发.在PDO的暖位相时期,发生El Nino(La Nina)事件时,正(负)的SOTA首先出现在赤道中太平洋,然后沿温跃层向东传播,正(负)的SSTA从赤道中太平洋向东扩展到东太平洋,ENSO事件首先在中太平洋爆发.这为ENSO预测提供了新的线索.  相似文献   
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