不同强度El Ni(n)o的衰减过程.Ⅱ,中等和较弱El Ni(n)o的衰减过程

在第二部分,我们研究了中等和较弱El Ni(n)o的衰减过程. 结果表明,对中等El Ni(n)o而言,在其发展阶段和盛期,负异常信号在西太平洋产生,但由于强度不足,在El Ni(n)o盛期之后迅速衰减,这是一种夭折的类西太平洋振子过程. 因此,与强El Ni(n)o不同,中等El Ni(n)o衰减进入平常态. 而较弱El Ni(n)o以截然不同的另一种方式进行位相转换,伴随东南太平洋副高的加强和西移,东风异常和海表温度负异常自赤道东太平洋向西扩展,这是一种平流模态过程,导致较弱El Ni(n)o衰减进入La Ni(n)a.     

不同分布型El Ni?o期间MJO活动的差异

利用Hadley中心的月平均海温资料、NCEP/NCAR和ERA-Interim逐日再分析大气环流数据等,详细对比了赤道大气季节内振荡(MJO)活动在东部型El Ni?o与中部型El Ni?o发展期间的异同点.结果表明,与传统的东部型El Ni?o发展前MJO明显偏强的特征相似,在中部型El Ni?o迅速发展前的春夏季,MJO动能亦较强且持续东传特征显著.这说明无论是东部型El Ni?o还是中部型El Ni?o,与MJO能量的突然增长相联系的低频纬向西风和低频对流活动的增强及其持续东传是激发El Ni?o的重要因素.但是,在中部型El Ni?o发展成熟的冬季至次年春季,热带中西太平洋MJO动能的强度突然再次增强,所占大气总扰动动能的比重也再次增大,热带MJO动能的逐日演变达到第二次峰值,且较第一次峰值更强;MJO从热带印度洋向赤道中东太平洋持续东传的特征也更为显著.这与在传统东部型El Ni?o盛期MJO能量和东传都明显减弱的特征表现出显著的差异.进一步分析指出,中部型El Ni?o成熟期海温正距平中心位置的西移以及由中部型El Ni?o激发的范围偏小、位置偏西的菲律宾附近异常反气旋环流可能是导致中部型El Ni?o盛期MJO活动显著增强的主要原因.     

不同强度El Nino的衰减过程.Ⅰ,强El Nino的衰减过程

将1951～2004年期间的12次El Nino事件分为强、中等、较弱和弱4类,结果发现,强和较弱El Nino衰减进入La Nina,但是中等和弱El Nino衰减进入平常态.因此,El Nino的衰减结果与自身强度之间存在密切的非线性关系.进一步的研究表明,负异常信号自西太平洋向中东太平洋的东传主导了强El Nino事件向La Nina的转变过程,其具体动力过程类似于西太平洋振子理论.热带西北太平洋（WNP）大气异常反气旋在强El Nino位相转变中起核心作用,它的维持和缓慢东移是赤道东风异常维持和发展的原因,而后者通过激发Kelvin波导致了ENSO从El Nino向La Nina的转变.     

中国华北雾霾天气与超强El Ni?o事件的相关性研究

2015年11—12月,全国接连发生七次大范围、持续性雾霾天气过程,其中,11月27日—12月1日的雾霾天气过程持续时间长达五天,成为2015年最强的一次重污染天气过程;12月19-25日重度雾霾再次发展,影响面积一度达到35.2万km~2.本文利用多种数据资料通过个例对比和历史统计详细分析了超强El Ni?o背景下雾霾天气频发的天气气候条件.其结果清楚表明:2015年11—12月欧亚中高纬度以纬向环流为主,东亚冬季风偏弱,使得影响我国的冷空气活动偏少,我国中东部大部地区对流层低层盛行异常偏南风,大气相对湿度明显偏大,并且大气层结稳定,对流层底层存在明显逆温.上述大气环流条件使得污染物的水平和垂直扩散条件差,因此在有一定污染排放的情况下,造成了重度雾霾天气过程的频发.由此,超强El Ni?o事件所导致的大尺度大气环流异常是我国中东部,尤其华北地区冬季雾霾天气频发的重要原因之一.     

厄尔尼诺持续时间与大气环流异常形势

针对不同持续时间的El Nio事件,进行了大尺度大气环流及其演变的合成分析研究.其结果清楚地表明,不同持续时间的El Nio事件的发生、发展和消亡过程,对流层低层风场和对流层高层速度势场的距平都有极为显著差异.分析得到了对El Nio事件的发生和消亡起着重要作用的大气环流异常形势.还发现对于持续时间较长的El Nio事件,东北太平洋上850hPa异常气旋性环流减弱和西北太平洋上异常反气旋性环流增强较慢,因此赤道太平洋异常西风维持的时间也较长,而与澳大利亚冬季风加强相关联的南半球西太平洋的速度势正距平的维持,对El Nio的持续也起一定作用;对应持续时间较短的El Nio事件,西太平洋上200hPa速度势正距平的迅速东移,对El Nio的迅速消亡起重要作用.     

地球自转与El Ni 0--海气耦合理论

从低纬的海气耦合的浅水模式方程组出发,运用正交模和特殊函数的方法进一步讨论地球自转速率变化对海气耦合系统的影响.研究表明:地球自转速率的变化通过海气耦合一方面使大气和海洋的Kelvin波和Rossby波的移动及稳定性发生变化,另一方面使纬向风、洋流和海表温度发生变化.特别是在地球自转减慢时,通过海气耦合,出现纬向风和洋流异常和大洋东部海表温度增加,从而导致引起全球气候异常的El Ni o现象.     

Using CMIP5 model outputs to investigate the initial errors that cause the “spring predictability barrier” for El Nio events

Most ocean-atmosphere coupled models have difficulty in predicting the El Nio-Southern Oscillation(ENSO) when starting from the boreal spring season. However, the cause of this spring predictability barrier(SPB) phenomenon remains elusive. We investigated the spatial characteristics of optimal initial errors that cause a significant SPB for El Nio events by using the monthly mean data of the pre-industrial(PI) control runs from several models in CMIP5 experiments. The results indicated that the SPB-related optimal initial errors often present an SST pattern with positive errors in the central-eastern equatorial Pacific, and a subsurface temperature pattern with positive errors in the upper layers of the eastern equatorial Pacific, and negative errors in the lower layers of the western equatorial Pacific. The SPB-related optimal initial errors exhibit a typical La Ni-a-like evolving mode, ultimately causing a large but negative prediction error of the Nio-3.4 SST anomalies for El Nio events. The negative prediction errors were found to originate from the lower layers of the western equatorial Pacific and then grow to be large in the eastern equatorial Pacific. It is therefore reasonable to suggest that the El Nio predictions may be most sensitive to the initial errors of temperature in the subsurface layers of the western equatorial Pacific and the Nio-3.4 region, thus possibly representing sensitive areas for adaptive observation. That is, if additional observations were to be preferentially deployed in these two regions, it might be possible to avoid large prediction errors for El Nio and generate a better forecast than one based on additional observations targeted elsewhere. Moreover, we also confirmed that the SPB-related optimal initial errors bear a strong resemblance to the optimal precursory disturbance for El Nio and La Nia events. This indicated that improvement of the observation network by additional observations in the identified sensitive areas would also be helpful in detecting the signals provided by the precursory disturbance, which may greatly improve the ENSO prediction skill.     

The unusual 2014–2016 El Ni?o events: Dynamics,prediction and enlightenments

The 2014–2016 El Ni?o events consist of a stalled El Ni?o event in the winter of 2014/2015 and a following extreme El Ni?o event in the end of 2015. Neither event was successfully predicted in operational prediction models. Because of the unusual evolutions of these events that rarely happened in the historical observations, few experience was ready for understanding and predicting the two El Ni?o events when they occurred. Also due to their specialties, considerable attention were attracted with aims to reveal the hidden mechanisms. This article reviews the recent progresses and knowledge that were obtained in these studies. Emerging from these studies, it was argued that the key factor that was responsible for the stalled El Ni?o in 2014 was the unexpected summertime Easterly Wind Surges(EWSs) or the lack of summertime Westerly Wind Bursts(WWBs). Most operational prediction models failed to reproduce such stochastic winds and thus made unrealistic forecasts. The two El Ni?o events awakened the research community again to incorporate the state-of-the-art climate models to simulate the stochastic winds and investigate their roles in the development of El Ni?o.     

The critical role of Indian summer monsoon on the remote forcing between Indian and Northwest Pacific during El Nio decaying year

Recent studies have found a connection between Indian Ocean Basin Warming and the anomalous Northwest Pacific Anticyclone(ANPWA) during El Ni?o decaying year.This study focuses on the necessary condition for this connection by using observation and numerical simulation.The seasonal transition of the Indian Ocean sea surface wind is critical to the climatic effect of Indian Ocean Basin Warming.When the South Asian Summer Monsoon reaches its peak,the background wind becomes desirable for basin warming,which then affects the climate in the Northwest Pacific.Via the Kelvin waves and Ekman divergence,the wind anomalies exist in the lower atmosphere east of the Indian Ocean warm Sea Surface Temperature(SST) anomalies,and intensify and sustain the ANWPA throughout the El Nio decaying summer.This impact plays an important role in the inter-annual variability of the East Asian Summer Monsoon.     

Sea surface salinity-derived indexes for distinguishing two types of El Ni?o events in the tropical Pacific

In this study, sea surface salinity(SSS) indexes are derived from reanalysis and observational datasets to distinguish the two types of(Central Pacific(CP) and Eastern Pacific(EP)) El Ni?o events in the tropical Pacific. Based on the SSS anomalous spatial and temporal pointwise correlations with sea surface temperature(SST) indexes of two types of El Ni?o events, the key areas with SSS variations for EP and CP El Ni?o events are identified. For EP El Ni?o events, the key areas are located over an arcuate area centered at(0°, 130°E) and in the central equatorial Pacific covering(5°S–5°N, 175°W–158°W). For CP El Ni?o events, the key areas are located in the northeastern western Pacific covering(2°N, 142°E–170°E) and in the southeastern Pacific covering(20°S–10°S, 135°W–95°W). The key areas for EP and CP El Ni?o events in this study are not located near the dateline in the equatorial Pacific and differ from those obtained from the regression or composite methods.Accordingly, these key areas are used to construct SSS indexes, termed as the CP/EP El Ni?o SSS index(CSI/ESI), to distinguish EP and CP El Ni?o events independently. The SSS indexes are verified by different datasets over varying time periods and they can be adequately used to identify the two types of El Ni?o events and serve as another useful tool for monitoring ENSO. These analyses offer novel insight into how to represent the diversity of El Ni?o events.     

区分热带太平洋两类厄尔尼诺事件的海表面盐度指数

本研究利用再分析资料和观测数据得到用来区分热带太平洋两种类型El Ni?o事件(中太平洋El Ni?o (CP El Ni?o)和东太平洋El Ni?o (EP El Ni?o))的海表面盐度(SSS)指数.通过计算SSS异常与海表面温度(SST)的空间和时间相关性,识别出了与CP和EP El Ni?o事件相关的SSS关键区.确定出的EP El Ni?o事件SSS关键区位于以(0°,130°E)为中心的弧形区域和由赤道太平洋覆盖(5°S～5°N, 175°W～158°W)的区域; CP El Ni?o事件SSS关键区位于西太平洋东北部(2°S～9°N, 142°E～170°E)和东南太平洋(20°S～10°S, 135°W～95°W).本研究中获得的CP和EP El Ni?o事件的关键区与传统的回归和合成方法不一致,并不位于赤道太平洋的日界期线附近.根据这些关键区,分别构建SSS指数,称为CSI指数(CP El Ni?o SSS index)和ESI指数(EP El Ni?o SSS index),用于独立区分CP和EP El Ni?o事件.利用不同时段的多种来源的数据进行检验,表明CSI和ESI可以有效地用于区分两类El Ni?o事件,并作为监测ENSO的另一个有效工具.本研究为表征和理解El Ni?o事件的多样性提供了可能的新方法.     

Conceptual model about the interaction between El Nio/Southern Oscillation and Quasi-Biennial Oscillation in far west equatorial Pacific

In the tropical Pacific region, El Ni?o/Southern Os- (COADS SST from 1945 to 1993) in the eastern cillation (ENSO) and the Quasi-Biennial Oscillation in (150°W-90°W, 5°S-5°N) and the observed SST far west equatorial Pacific (QBOWP) are two most and zonal wind in the far western equatorial Pacific prominent interannual variation phenomena. The for- (120°-140°E, 0°-10°N) (Fig.1), in the eastern Pa- mer is characterized by coupled SST-wind variability cific the period of S…     

积雪在El Niño影响东亚夏季气候异常中的作用

本文利用1948-2010年Global Land Data Assimilation System（GLDAS）NOAH陆面模式资料、GPCC月平均降水资料和NCAR/NCEP全球月平均再分析资料,采用滤波、距平合成和线性相关等方法,分析了El Niño成熟位相冬季欧亚大陆积雪异常的分布特征,研究了关键区积雪融化对后期春、夏季土壤湿度、土壤温度以及大气环流与降水的影响,揭示了El Niño事件通过关键区积雪储存其强迫信号并影响东亚夏季气候异常的机制和过程.主要结论如下：El Niño成熟阶段冬季伊朗高原、巴尔喀什湖东北部和青藏高原南麓区域是雪深异常的三个关键区,这些区域的雪深、雪融和土壤湿度有明显的正相关;这三个关键区雪深异常通过春季融雪将冬季El Niño信号传递给春、夏季局地土壤湿度,通过减少感热通量和增加潜热通量对大气环流产生影响;春末夏初伊朗高原土壤湿度异常对东亚夏季气候异常的影响最大,其引起的降水异常与El Niño次年夏季降水异常分布基本一致,春夏季青藏高原南麓和巴尔喀什湖附近土壤湿度也都明显增加,均会对中国华北降水增加有显著正贡献.总之,在利用El Niño事件研究和预测东亚夏季气候异常时,还应考虑关键区雪深异常对El Niño信号的存储和调制作用.     

夏季西北太平洋大气环流异常及其与热带印度洋-太平洋海温变化的关系

本文分析了夏季西北太平洋大气环流异常特征及其与海温变化的关系,发现夏季西北太平洋异常反气旋/气旋(WNPAC/WNPC)是西北太平洋地区对流层中低层存在的重要大气环流异常现象,与东亚-西北太平洋低纬度至高纬度的经向PJ波列及欧亚中高纬度东西纬向波列的变化有关,通过与中高纬度环流变化的联系,对东亚及欧亚中高纬度气候有重要影响.夏季WNPAC/WNPC与热带海温变化的关系存在明显的不对称性,显著的WNPAC一般出现在El Niño衰减年夏季,与前期El Niño成熟年冬季的赤道东太平洋暖海温异常和El Niño衰减年春夏季印度洋海盆尺度的暖海温异常有明显的正相关关系,进一步表明了WNPAC在El Niño事件影响夏季气候中的重要桥梁作用;而夏季显著的WNPC与前期和同期热带海温变化的关系存在明显的不确定性,主要与夏季热带印度洋和赤道中东太平洋之间东暖西冷的热力差异异常引起的孟加拉湾-赤道西太平洋西风异常有关.进一步分析WNPAC/WNPC与海温变化关系不对称的可能原因,发现El Niño和La Niña衰减年夏季热带印度洋和太平洋海温变化所引起的印-太之间海温(热力)差异的一致性特征可能是导致WNPAC/WNPC与海温变化关系不对称的主要原因.     

1997/1998 El Niño期间中国南部闪电活动的异常特征

基于近8年卫星观测的全球闪电资料, 对中国东南部和中南半岛各季节闪电密度距平场进行EOF分析发现, 在这一El Niño事件期间, 与NINO3区海表温度正距平升高的同时, 1997年春季该地区的闪电活动就出现了显著的正异常, 并一直持续到次年春季结束, 各季度的正异常区闪电密度距平百分率依次是89%, 30%, 45%, 498%和55%, 其中冬季变化幅度最大; 正异常区在冬、春季位于中国南部及其沿海地区, 而在夏、秋季位于中南半岛南部及泰国湾. 与正常年份相比, 各季闪电密度正距平中心位置显著偏西, 特别是冬、春季同时偏北. 另外, 中国南部地区的闪电密度和对流性降水量及高CAPE日数三项距平百分比的年际变化分析表明, 正异常区和黑潮主干区这三项的距平百分比之间两两相关; 在三项中, 闪电密度的相对变化率最大, 闪电活动对El Niño事件的响应最灵敏. 但是, 黑潮主干海域、青藏高原和西北、华北-东北等地区的闪电活动对El Niño事件的响应情况更为复杂和多样化.     

中国东部土壤湿度异常和厄尔尼诺对中国东部夏季降水的作用比较

利用中国气象科学研究院气候系统模式CAMS-CSM中大气和陆面的耦合版本进行了土壤湿度和热带太平洋海温异常影响东亚夏季风的数值模拟,探讨了中国东部从长江中下游到华北(YRNC)春季土壤湿度和厄尔尼诺(El Ni?o)在影响夏季东亚环流和中国东部降水中的作用及其机理.结果表明,中国东部春季土壤湿度和El Ni?o海温异常均对东亚夏季风有显著的影响,其中土壤湿度对中国东部夏季降水的影响略大于海温的作用,然而两者对东亚夏季风环流和中国夏季降水的作用显著不同. YRNC土壤偏湿(干)引起的降水异常模态为中国北部和东南降水偏少(多),而长江流域和东北降水偏多(少),环流上YRNC土壤偏湿(干)能引起西太平洋副热带高压显著偏强(弱)偏西(东)和东亚大槽偏深(浅),表现为弱(强)夏季风形态. El Ni?o对降水的影响显著不同于土壤湿度的作用,在El Ni?o发展期的夏季,中国东北和华北地区为异常反气旋,长江中下游和华南地区为异常气旋,西太平洋副热带高压偏弱,引起长江下游、华南降水偏多,华北降水偏少.在El Ni?o衰减期的夏季,中国东北地区存在一个异常气旋,华南有一个异常反气旋,异常反气旋西部的偏南气流和异常气旋西部的偏北气流在中国中部和北部地区汇合,使得夏季华北和长江中游地区降水增多,其余地区降水偏少.     

Phytoplankton and chlorophyll a relationships with ENSO in Prydz Bay,East Antarctica

The historical data of phytoplankton and chlorophyll a(Chl a)(1990–2002)obtained during the Chinese National Antarctic Research Expedition(CHINARE)in the Prydz Bay have been integrated.The results showed that the temperature,salinity,nutrients,and oxygen of seawater changed when El Nino/La Nina occurred.The variation of biological communities reflected the response of ecosystem to environmental changes.During El Ni?o period,Chl a concentration and phytoplankton community structure changed significantly,and the relative proportion of diatoms increased while dinoflagellates decreased.During La Ni?a period,the proportion of diatoms decreased,but the golden-brown algae and blue-green algae increased significantly.The variation of phytoplankton population directly affected the biodiversity of the bay,which were also quite sensitive to the marine environment changes.Meanwhile,the satellite remote sensing data of 2002–2011(December–March)have been used to study the temporal connection change of Chl a and phytoplankton in the Prydz Bay.We found that there were significant differences in the monthly variation characteristics of satellite remote sensing Chl a and sea surface temperature(SST),which had some links with sea ice melting and El Ni?o/La Ni?a events.We found that the start time of bloom advanced,lagged or synchronized with the changes of the SST,and we also found the occurrence time of phytoplankton bloom corresponded with the sea ice melting inner bay.To some extent,this study will help us understand the relationships between ENSO events and the phytoplankton bloom in the Southern Ocean.     

El Nino演变不同阶段东亚大气环流年际异常型的数值模拟

给定1948～1999年逐月变化的全球观测的海表温度分布，使用全球大气环流模式（CCM3/NCAR）模拟了大气对海表温度变化的响应，利用SVD和合成检验方法，分析了El Nino发展阶段夏季、成熟阶段冬季以及衰亡阶段夏季东亚大气环流的年际异常型.结果表明：El Nino发展阶段夏季，中国东北、朝鲜半岛以及日本海附近为高度负异常中心，西太平洋副高偏弱、偏东，东亚夏季风增强；El Nino成熟阶段冬季，东亚大槽加强，东亚北部冬季风加强；El Nino衰亡阶段夏季，西太平洋副高偏强、偏南、西伸，东亚夏季风减弱；El Nino事件在其衰亡阶段夏季与东亚大气环流异常的关系最紧密，其次是成熟阶段冬季，最后是发展阶段夏季.模拟的El Nino演变不同阶段东亚大气环流年际异常型易于解释以往研究中观测分析揭示的由El Nino造成的我国东部气温和降水异常型.     

超强厄尔尼诺事件“春季可预报性障碍”及其误差增长动力学分析

基于一个中等复杂程度模式(ICM)集合预报系统(EPS)产生的海表温度距平(SSTA)预报产品,从误差增长的角度探讨了2015/16超强El Nio事件的"春季可预报性障碍"(SPB)问题.通过分析集合预报成员预报误差的增长倾向,发现了2015/16 El Nio事件的预报误差增长呈现显著的季节依赖性,且在春/夏季具有最大增长率,表明ICM-EPS对2015/16 El Nio事件的预报发生了明显的SPB现象.进一步分析表明,上述SPB现象不是由ICM初始场的不确定性引起,而是由其模式误差导致,而ICM-EPS集合预报成员的平均滤掉了部分模式误差的影响,减弱了SPB现象,从而使得2015/16 El Nio事件的预报产生较小的预报误差.通过探讨由海温方程的倾向误差表征的模式误差,该研究揭示了导致SPB现象发生的倾向误差的主要空间特征,并阐明了ICM-EPS低估2015/16El Nio事件强度的原因.此外,本文也揭示了导致显著SPB现象,尤其是导致最大预报误差的SSTA倾向误差的结构特征.该倾向误差的SSTA分量具有赤道中东太平洋负异常,西太平洋正异常的纬向偶极子结构,与Duan等提出的最敏感非线性强迫奇异向量(NFSV)-倾向误差高度相似,从而表明NFSV-型倾向误差也存在于实际的El Nio预报中.该研究也探讨了其他超强El Nio事件,如1982/83和1997/98事件,得到了类似的结果.因此,如果利用NFSV-型倾向误差校正ICM模式误差,ICM-EPS可大大提高超强El Nio事件的预报技巧.     

1997/1998 El Ni(n)o期间中国南部闪电活动的异常特征

基于近8年卫星观测的全球闪电资料,对中国东南部和中南半岛各季节闪电密度距平场进行EOF分析发现,在这一El Nino事件期间,与NINO3区海表温度正距平升高的同时,1997年春季该地区的闪电活动就出现了显著的正异常,并一直持续到次年春季结束,各季度的正异常区闪电密度距平百分率依次是89%,30%,45%,498%和55%,其中冬季变化幅度最大;正异常区在冬、春季位于中国南部及其沿海地区,而在夏、秋季位于中南半岛南部及泰国湾.与正常年份相比,各季闪电密度正距平中心位置显著偏西,特别是冬、春季同时偏北.另外,中国南部地区的闪电密度和对流性降水量及高CAPE日数三项距平百分比的年际变化分析表明,正异常区和黑潮主干区这三项的距平百分比之间两两相关;在三项中,闪电密度的相对变化率最大,闪电活动对ElNino事件的响应最灵敏.但是,黑潮主干海域、青藏高原和西北、华北-东北等地区的闪电活动对El Nino事件的响应情况更为复杂和多样化.