非线性主成分分析在中国四季降水异常分布中的应用

利用中国160站逐月降水资料,运用一种基于前馈型人工神经网络的非线性主成分分析方法(nonlinear principal component analysis,NLPCA)研究了中国近50 a四季降水异常分布的非线性特征.结果表明,NLPCA有能力表示出更一般的低维结构特征.四季降水的异常分布都具有一定的非线性相关空间结构,其中春夏季节非线性较强,秋冬季节稍弱;四季降水距平的一维NLPCA近似在非线性主成分取极端相反位相时,对应的空间分布型表现出明显的不对称性.四季降水异常的一维NLPCA近似都比传统一维PCA的近似逼真,且存在季节变化.     

中国春季气温异常变率的非线性特征

运用一种基于神经网络的非线性主成分分析法(NLPCA)对中国1951-2003年53 a春季气温距平场进行分析,结果表明,春季气温异常变率具有显著的非线性特征,当非线性主元u分别取最大值和最小值时,对应的空间气温异常分布型具有显著的非对称性。     

中国夏季降水异常分布的非线性特征

运用基于前馈型人工神经网络的非线性主成分分析方法(NLPCA),对中国近50 a夏季降水异常分布的非线性特征进行了分析。结果表明,中国夏季降水的异常分布具有一定的非线性特征,当夏季降水距平的一维NLPCA近似在非线性主成分取极端相反位相时,对应的空间分布型表现出明显的不对称性;一维NLPCA对夏季原始降水距平场的近似,比传统一维PCA的近似更为逼真。     

中国春季气温异常变率的非线性特征

运用一种基于神经网络的非线性主成分分析法(NLPCA)对中国1951-2003年53 a春季气温距平场进行分析,结果表明,春季气温异常变率具有显著的非线性特征,当非线性主元u分别取最大值和最小值时,对应的空间气温异常分布型具有显著的非对称性.     

主成分分析与聚类分析在青岛夏季气温变化研究中的应用

选用青岛站1951-2010年每年6-8月各月平均气温资料,通过SAS软件进行了主成分分析和聚类分析,分析了近60 a夏季气温的年际气候变化.主成分分析的结果表明,第一主成分反映青岛夏季气温距平,其正（负）方向反映夏季气温的正（负）距平,其强度反映气温偏高（低）的程度;第二主成分则反映同一年内夏季各月间气温的差异,其绝对值越大,表示各月气温差异越大.聚类分析的结果表明,青岛站夏季月平均气温的变化可以分为3类：1）6月、7月气温较低,在8月升温;2）7月平均气温最高,6月、8月相对较低;3）6月气温低,7、8两月气温较高.其中1993、2003年为第一类,2005年为第二类,其余为第三类.     

北半球冬季大气环流遥相关型的非线性特征

利用NCEP/NCAR再分析500 hPa高度场资料,采用EOF和非线性主成分分析(NLPCA,Nonlinear Principal Component Analysis),研究了北半球冬季大气环流遥相关型的非线性特征,并将两种分析的结果与实际观测相比较,结果表明:NLPCA在提取资料场序列的低维非线性相关结构方面比传统EOF有明显的优越性.北半球冬季大气环流的遥相关型有明显的非线性结构特征,特别是EU型和PNA型,当非线性主成分NLPC取正负极值时,EU和PNA型并不是呈现完全的反位相结构.NLPC取负极值时,EU型的活动中心位置比NLPC取正极值时位置偏西,特别是欧亚大陆中部的距平中心,负中心比正中心偏西,强度更强;PNA型的4个距平中心在NLPC取正极值时比负极值时更集中,副热带太平洋的正中心、北太平洋的负中心比NLPC取负极值时的反符号中心偏东,强度更强.     

中国冬季气温对ENSO的非线性响应特征

运用一双排套装的非线性神经网络统计模型,讨论了中国冬季气温对ENSO事件的非线性响应特征。结果表明,响应具有较明显的非线性特征,且这种非线性主要表现在振荡强度的差异上,即气温对El Nino事件的响应程度强于对La Nina事件的响应。El Nino位相下,气温的正距平中心主要出现在东北、江淮、福建以及新疆南部;La Nina位相下,上述地区气温出现负距平中心,但振荡强度较弱。气温对ENSO的响应可分为线性响应部分和非线性响应部分,其中非线性响应解释的方差约占线性响应的2/5,因此非线性响应的作用不可忽视。     

中国东部冬季气温异常的主模态与大气环流的关系

利用中国东部季风区375个测站,1961-2006年历年平均地面气温资料,采用EOF、SVD、相关分析等方法,分析了中国东部季风区冬季气温与500hPa高度场异常变化的关系。结果表明:影响冬季气温的关键区有两个,皆为显著正相关;SVD分析表明:乌山脊弱,东亚槽浅,纬向环流偏强,经向环流偏弱,极涡面积偏小,使南下冷空气偏少,冬季气温易偏高。上年7月北大西洋高压异常偏强(偏弱),次年冬季气温将会异常偏暖(偏冷),北大西洋前期高度场与气温普遍有密切的关系,主要影响长江流域及其以北的季风中北部区;建立了气温距平与北大西洋关键区上年7月高度距平的关系,并建立了均生函数模型,预测了未来20 a的气温变化趋势。     

江苏省夏季气温异常的海气背景

通过1961－1998年江苏省11个站点夏季（6－8月）平均气温的EOF分析，探讨江苏省夏温异常的时空分布结构，并在此基础上，分析其前期及同期500hPa高度距平场、海温距平场的特征，得到了一些对本地夏季气温异常预测有意义的结果。     

中国秋季月平均气温特征及其异常研究

利用１９５１—１９９０年９—１１月月平均气温标准化距平资料，采用旋转主成分分析方法，研究中国秋季月平均气温的时空异常特征。结果表明，４０年来全国有６个主要气温变化异常区，均表现出程度不同的暖—冷—暖的演变趋势，在气温距平易号的演变过程中，东北突变最早，长江中下游最晚。     

热带对流活动及其与ENSO关系的非线性特征

用非线性主成分分析方法和NCAR／NCEP长波辐射资料（OLR）,研究了热带对流异常及其与ENSO的关系。结果表明热带对流活动在时空上呈现出明显的非线性特征,它是热带对流活动对ENSO的非线性响应;热带对流异常的强度在E1 Nino时期比在La Nina时期强,且异常的中心位置偏东,表现出明显的时空上的不对称性。     

冬季欧亚海平面气压场主要空间模态的年代际变化特征

 运用非线性主成分分析法对欧亚地区1948-2007年冬季海平面气压距平场进行分析。结果表明：冬季欧亚地区海平面气压异常变率具有显著的非线性特征,当非线性主成分取不同的异常值时,对应的空间气压异常分布型具有显著的非对称性。同时,第一非线性模态（NLPC1）年际振荡强度和周期在20世纪70年代初存在明显的年代际变化,1970年以后,年际振荡强度显著增强。     

冬季欧亚海平面气压场主要空间模态的年代际变化特征

运用非线性主成分分析法对欧亚地区1948-2007年冬季海平面气压距平场进行分析。结果表明：冬季欧亚地区海平面气压异常变率具有显著的非线性特征,当非线性主成分取不同的异常值时,对应的空间气压异常分布型具有显著的非对称性。同时,第一非线性模态（NLPC1）年际振荡强度和周期在20世纪70年代初存在明显的年代际变化,1970年以后,年际振荡强度显著增强。     

Nonlinear relation of the Arctic oscillation with the quasi-biennial oscillation

A nonlinear principal component analysis (NLPCA) is applied to a set of monthly mean time series from January 1956 to December 2007 consisting of the Arctic oscillation (AO) index derived from 1,000-hPa geopotential height anomalies poleward of 20°N latitude and the zonal winds observed at seven pressure levels between 10 and 70?hPa in the equatorial stratosphere to investigate the relation of the AO with the quasi-biennial oscillation (QBO). The NLPCA is conducted using a new, compact neural network model. The NLPCA modeling of the dataset of the AO index and QBO winds offers a clear picture of the relation between the two oscillations. In particular, the phase of covariation of the oscillations defined by the two nonlinear principal components of the dataset progresses with a predominant 28.4-month periodicity. This predominant cycle is modulated by an 11-year cycle. The variation of the AO index with the QBO phase also shows that the average AO index is positive when the westerly QBO phase descends past 30?hPa and, conversely, the average AO index is negative when the easterly QBO phase descends past 30?hPa. This relationship is evident during the boreal cold season from November to April but non-existent during the boreal warm season from May to October.     

The nonlinear association between the Arctic Oscillation and North American winter climate

Nonlinear projections of the Arctic Oscillation (AO) index onto North American winter (December–March) 500-mb geopotential height (Z500) and surface air temperature (SAT) anomalies reveal a pronounced asymmetry in the atmospheric patterns associated with positive and negative phases of the AO. In a linear view, the Z500 anomaly field associated with positive AO resembles a positive North Atlantic Oscillation pattern with statistically significant positive and negative anomalies stretching zonally into central-eastern USA and Canada, respectively, resulting in a cold climate anomaly over northeastern and eastern Canada, Alaska and the west coast of USA, and a warm climate anomaly over the rest of the continent. By contrast, the nonlinear behavior, mainly a quadratic association with AO, which is most apparent when the amplitude of the AO index is large, has the same spatial pattern and sign for both positive and negative values of the index. The nonlinear pattern reveals negative Z500 anomalies over the west coast of USA and the North Atlantic and positive Z500 anomalies at higher latitudes centered over the Gulf of Alaska and northeastern Canada accompanied by cooler than normal climate over the USA and southwestern Canada and warmer than normal climate over other regions of the continent. A similar analysis is conducted on the data from the Canadian Center for Climate Modelling and Analysis second generation coupled general circulation model. The nonlinear patterns of North American Z500 and SAT anomalies associated with the AO in the model simulation are generally consistent with the observational results, thereby confirming the robustness of the nonlinear behavior of North American winter climate with respect to the AO in a climate simulation that is completely independent of the observations.     

北半球冬季各阻塞系统对大范围极端温度异常的单独和协同影响

本文利用1979～2015年ERA-interim逐日再分析资料,对比分析了格陵兰阻高（GB）、大西洋—欧洲阻高（AEB）、乌拉尔山阻高（UB）和北太平洋阻高（NPB）四个阻高系统对年际尺度和天气尺度地面温度及极端冷日的单独和协同影响。结果表明,各阻高与地面温度之间的统计关系十分复杂,同一阻高系统可影响多个地区的温度异常,同一个地区的地面温度一般可受到多个阻高系统的不同影响。通过分离单阻高和多阻高（双阻高、三阻高和四阻高）组合的情形,本文的结果进一步表明,UB对欧亚大陆地面温度的影响最为重要,其次对于欧洲地面温度而言,依次为AEB、GB和NPB;对于亚洲地面温度而言,依次则为GB、NPB和AEB。而NPB对北美大陆温度的影响最为重要,其次为GB和AEB,UB的影响最弱。此外,多阻高协同影响地面温度时,并非线性叠加,而是表现为显著的非线性特征。     

An Observed Connection Between Wintertime Temperature Anomalies over Northwest China and Weather Regime Transitions in North Atlantic

In this study, the association between wintertime temperature anomalies over Northwest China and the weather regime transitions in North Atlantic on synoptic scale is analyzed by using observational surface air temperature(SAT) data and atmospheric reanalysis data. Daily SAT anomaly and duration time are used in order to define SAT anomaly cases. Differences with regard to the circulation anomalies over the Ural Mountains and the upstream North Atlantic area are evident. It is found that the colder than normal SAT is caused by the enhanced Ural high and associated southward flow over Northwest China. Time-lagged composites reveal possible connections between the SAT anomalies and the different development phases of the North Atlantic Oscillation(NAO). The Ural highs tend to be strengthened during the negative phase of NAO(NAO–) to Atlantic ridge transition, which are closely related to the downstream-propagating Rossby wave activity. The opposite circulation patterns are observed in the warm SAT cases. A cyclonic circulation anomaly is distinctly enhanced over the Urals during the positive phase of NAO(NAO+) to Scandinavian blocking transition, which would cause warmer SAT over Northwest China. Further analyses suggest that the intensified zonal wind over North Atlantic would favor the NAO– to Atlantic ridge transition, while the weakened zonal wind may be responsible for the transition between NAO+ and Scandinavian blocking.     

Performance of Regional Integrated Environment Modeling System (RIEMS) in the Simulation of Surface Air Temperature over East Asia

Regional climate models (RCMs) have the potential for more detailed surface characteristic and mesoscale modeling results than general circulation models (GCMs).These advantages have drawn significant focus on RCM development in East Asia.The Regional Integrated Environment Modeling System,version 2.0 (RIEMS2.0),has been developed from an earlier RCM,RIEMS1.0,by the Key Laboratory of Regional ClimateEnvironment for Temperate East Asia (RCE-TEA) and Nanjing University.A numerical experiment covering 1979 to 2008 (simulation duration from 1 January 1978 to 31 December 2008) with a 50-km spatial resolution was performed to test the ability of RIEMS2.0 to simulate long-term climate and climate changes in East Asia and to provide a basis for further development and applications.The simulated surface air temperature (SAT) was compared with observed meteorological data.The results show that RIEMS2.0 simulation reproduced the SAT spatial distribution in East Asia but that it was underestimated.The simulated 30-year averaged SAT was approximately 2.0°C lower than the observed SAT.The annual and interannual variations in the averaged SAT and their anomalies were both well reproduced in the model.A further analysis of three sub-regions representing different longitudinal ranges showed that there is a good correlation and consistency between the simulated results and the observed data.The annual variations,interannual variations for the averaged SAT,and the anomalies in the three sub-regions were also captured well by the model.In summary,RIEMS2.0 shows stability and does well both in simulating the long-term SAT in East Asia and in expressing sub-regional characteristics.