厄尼诺与南海的台风活动

本文对厄尼诺年(赤道东太平洋SST有持续正距平)和反厄尼诺年(赤道东太平洋SST有持续负距平)南海的台风(包括进入南海的西太平洋台风和在南海生成的台风)活动进行了统计分析。结果表明,厄尼诺同南海的台风活动有明显关系:厄尼诺年平均台风数偏少,反厄尼诺年平均台风数偏多,其异常主要发生在8—11月份;在两广沿海登陆的平均台风数也是厄尼诺年偏少,反厄尼诺年偏多,其异常以10和11月最显著;在北部湾海域活动的台风多在8—9月份,也是厄尼诺年偏少,反厄尼诺年偏多。文本也对厄尼诺如何影响南海的台风活动提出了初步看法。      

气象学方面的厄尼诺

1.引言对于大多数年份来说,秘鲁和厄瓜多尔海岸以外的海洋表面水是冷的。每年圣诞节前后,一股暖流在厄瓜多尔海岸以南流动,来替换冷的表面水,这种现象被称为厄尼诺。捕鱼受到轻微的影响,但这种影响是短暂的。然而,有些年份(1891、1925、1941、1957—1958、1965、1972—1973和1976)厄尼诺强而且长。沿秘鲁海岸和赤道东太平洋洋面温度上升,并且可以持续一年以上。鳀鱼捕捞遭受破坏,南美西部热带地区发生异常的大雨。在最近几年中,厄尼诺的最初含意已经失去。对于海洋学家和气象学家来说,现在的厄尼诺则意味着这种主要现象。较早的沿南美海岸的海水上翻速度控制着厄尼诺的海洋学理论,已被Wyrtki(1973,1975)有力地反驳了,他假定厄尼诺是由信风强度的振荡造成的。     

第八讲 应用与改进

8.1 厄尼诺、东北低温的灰色预测模型及其微机软件系统 厄尼诺(EL Nino)是秘鲁、厄瓜多尔的太平洋沿岸海水温度异常升高的现象,通常这一带的海洋表面水是冷的,但有的年份,在圣诞节前后,一股暖流在该沿岸流动,来替换冷的表面水,最初这种现象被称为厄尼诺。现在我们通常把秘鲁、厄瓜多尔沿岸和赤道东太平洋洋面温度持续上升现象称为厄尼诺。1982/83的厄尼诺引起了全球范围的气候异常,1986/87又出现了厄尼诺。朱正心、曹鸿兴运用厄尼诺年的历史资料,     

厄尼诺现象与我国夏季(6—8月)降水、气温的关系

一、前言 根据已经得到的海洋气象观测资料分析,在东太平洋赤道洋面上已出现了强大的厄尼诺(El Nio)现象,有可能是近些年来一次较强的厄尼诺现象。在秘鲁北部的皮乌拉等地,接连不断的暴雨造成水灾;在厄瓜多尔沿岸地区予1982年10—11月也连降大雨,致使巴巴奥约河、卡拉科尔河和圣保罗河     

热带印度洋海温异常与ENSO关系的进一步研究

用1955年1月-2001年12月美国Scripps海洋研究所的海温再分析资料、美国NCEP再分析资料和美国气候预测中心(CPC)资料,讨论了热带太平洋ENSO与热带印度洋海温距平以及与印度洋偶极子(Dipole)的关系,研究结果发现:在垂直最大温度距平曲面(MTAL)上,热带印度洋海温距平分布存在着与热带太平洋ENSO密切相关的Dipole现象,其中最大的相关在太平洋ENSO 超前印度洋Dipole一个月.但是,热带印度洋Dipole的分布与Saij定义的位置略有不同,为东北西南向,它们分别在6°-10°S、65°-75°E(西印度洋)和2°-6°N、85°-95°E(东印度洋),它是赤道印度洋的一个主要海温距平系统.另外,在热带印度洋东北部与ENSO相关的海温距平是一个上下不一致的系统,该海温距平并没有伸展到海面,从海面到20-50 m的浅薄水层,则为与赤道西南印度洋相同符号的海温距平分布.因此在海面,海温距平不存在与ENSO有关的Dipole现象,赤道印度洋Dipole只存在于次表层以下,这是赤道印度洋Dipole与ENSO不同之处.这种赤道东北印度洋表层与赤道西南印度洋表层同符号的海温距平现象,有可能是海气热力过程如感热过程造成的.热带印度洋Dipole的周期要小于El Nio,一般为1-6 a.     

论1982—1983年冬季东亚气候距平的分布及其形成原因

1982—1983年冬季东亚气候距平的主要特征是有三个距平带和热干、冷湿两种距平状态。作者发现，在厄尼诺现象盛行时，副高明显加强，这是15°N 以南出现热干气候的直接原因。我国新疆地区偏暖，华南、西南地区偏冷也同厄尼诺有一定的遥相关关系。15°—30°N 的强大降水正距平则同东亚南支急流加强和南移有密切关系，南支急流加强则是其南侧的副高加强和其北侧青藏高原气温的强大负距平与雪盖扩大的结果。从降水带与高空急流的关系看，该冬季15°—30°N 地带的降水增多是一种季风雨的加强，同夏季梅雨加强的环流特点是相同的。     

晚春初夏西太平洋副高突变特征及其年际变化

根据热带印度洋和热带太平洋(22.5 S～22.5 N,42.5 E～77.5 W )1951～1995年逐月5 ×5 的海面温度距平资料,首先进行了海面温度距平的平均功率谱分析,获取赤道印度洋和赤道太平洋海面平均温度距平存在准12年和准4年的周期变化;然后,利用多维时间序列的交叉谱分析,进一步分别分析了赤道印度洋和赤道太平洋各格点上海面温度距平在准12年和准4年演变周期各格点之间的演变位相及演变落后时间,获得一些有意义的结论。     

厄尼诺与影响本省台风的关系

厄尼诺现象一般是指秘鲁外海及赤道东太平洋地区海水温度异常持续偏高的现象,是大尺度海洋和大气相互作用的结果,每隔2至7年不规则的出现一次,每次持续1至2年。近几年来,厄尼诺对大气环流和大范围天气气候变化的影响,引来了人们的广泛注意。本文着重分析了厄尼诺与影响本省台风的关系,发现在厄尼诺年影响本省的台风在总次数和出现的月份上与常年均有较大差异,还对厄尼诺现象与西太平洋台风发生的环境条件作了初步的分析。     

热带太平洋SSWA特征及其在ENSO循环中的演变

应用1970年1月至1989年12月热带太平洋SSTA（海面温度距乎）和SSWA（海面风距平）资料,分析发现：热带太平洋SSWA的主要空间特征和海气耦合主要空间型均表现为ElNino（LaNina）盛期的SSWA分布。热带太平洋SS－WA的主要传播特征与ENSO循环过程中SSWA的演变是一致的,表现为赤道中东太平洋海面阻平东、西风的转换和赤道东太平洋SSWA辐散、辐合的转换。赤道中东太平洋距平东风（西风）向赤道距平西风（东风）的转换伴随着中西太平洋副热带SSWA偶极子气旋（反气旋）的生消,偶极子气旋（及气旋）表现为明显的北半球强于南半球。     

海洋和大气状态异常对西北太平洋台风活动的影响

本文分析了33年(1951—1983年)逐月平均的赤道东太平洋海温距平(SSTA)、热带西北太平洋500hPa高度距平和西北太平洋台风频数距平资料,指出:赤道东太平洋热力状况的异常对西北太平洋台风活动有明显影响。进一步对于1982—1983年的厄尼诺过程进行诊断分析,认为,SSTA异常可以通过经圈环流改变中、低纬环流的相互作用,以此来制约西北太平洋台风活动,即:当赤道东太平洋出现暖水时,北半球的哈得来环流加强,导致中纬度上空西风带加强、斜压扰动向南发展,结果,北半球副热带高压滞留在较低纬度、热带盛行东风气流,形成了不利于西北太平洋台风发生、发展的大尺度环流条件。     

ACTIONS OF TYPHOONS OVER THE WESTERN PACIFIC (INCLUDING THE SOUTH CHINA SEA) AND EL NINO

According to me lime cross-section or SSI in me equatorial eastern racing and me historical data on typhoon actions over the western Pacific (including the South China Sea), a composite analysis of the actions of typhoon over the western Pacific in El Nino year (SST in the equatorial eastern Pacific are continuously higher than normal) and in the inverse El Nino year (there are continuative negative anomalies of SST in the equatorial eastern Pacific) is carried out. The results show that the actions of typhoon are in close relation with El Nino: The annual average number of typhoons over the western Pacific and South China Sea is less than normal in El Nino year and more in the inverse El Nino year; The annual average number of the landing typhoon on the continent of China bears the same relationship with El Nino; The anomalies of typhoon actions mainly occur during July-November and their starting are behind the anomaly of SST in the equatorial eastern Pacific.Based on the generation and development co     

大尺度海气异常关系的主振荡型分析

简要介绍了主振荡型(POP)分析的原理及方法.用它分析了热带太平洋海表温度异常,得到的主振荡型 P_1、P_2及其周期 T,描述了 El Nino 与 La Nina 事件交替出现的时空特征.分析了热带太平洋区域月平均海温与风场的伴随相关型(ACP),得到了与 El Nino 事件相关的、物理意义清楚的环流异常图像.而对东亚夏季降水、气温的 ACP 分析给出了 El Nino 事件与我国夏季长期天气异常联系的接近实际的结果.     

On the Mechanism of the Locking of the El Nino Event Onset Phase to Boreal Spring

The mechanism of the locking of the E1 Nino event onset phase to boreal spring （from April to June） in an intermediate coupled ocean-atmosphere model is investigated. The results show that the seasonal variation of the zonal wind anomaly over the equatorial Pacific associated with the seasonal variation of the ITCZ is the mechanism of the locking in the model. From January to March of the E1 Nino year, the western wind anomaly over the western equatorial Pacific can excite the downwelling Kelvin wave that propagates eastward to the eastern and middle Pacific by April to June. From April to December of the year before the E1 Nifio year, the eastern wind anomaly over the equatorial Pacific forces the downwelling Rossby waves that modulate the ENSO cycle. The modulation and the reflection at the western boundary modulate the time of the transition from the cool to the warm phase to September of the year before the E1 Nifio year and cause the strongest downwelling Kelvin wave from the reflected Rossby waves at the western boundary to arrive in the middle and eastern equatorial Pacific by April to June of the E1 Nino year. The superposition of these two kinds of downwelling Kelvin waves causes the El Nino event to tend to occur from April to June.     

On the Mechanism of the Locking of the El Nio Event Onset Phase to Boreal Spring

1. Introduction The observed facts show that the ENSO cycle has obvious phase-locking and oscillates irregularly (An and Wang, 2001; Kaplan et al., 1998). Based on Zibiak and Cane's (1987) model (hereafter, the Z-C model) and simple, coupled ocean-atmosph…     

The propagation characteristics of interannual low-frequency oscillations in the tropical air-sea system

The time series of sea surface temperature (SST), sea level pressure (SLP), zonal wind (U) and total cloudiness (CA), for the period of 1950-1979, over a 8o×8o grid-point latitudinal belt between 32oS and 32oN are made from COADS (Comprehensive Ocean-Atmosphere Data Set). The time harmonic analysis and power spectra analysis show that there exist quasi-biennial oscillation (QBO), three and half years oscillation (SO), five and half years oscillation (FYO) and eleven years oscillation (EYO) in these time series. The main propagation characteristics of these interannual low-frequency oscillations are as follows:(1) The variance analysis of SST shows that there is an active region of QBO and SO (with maximum variance), coming from the southwestern part of the subtropical Pacific, stretching eastward up to the west coast of South America, and then northward to the eastern equatorial Pacific. The QBO and SO disturbances of SST follow the same route and cause the anomaly of SST (El Nino and period of cold water) in the eastern equatorial Pacific.(2) Either the QBO or SO of SST can cause El Nino events, although it is easier when they are situated in the same phase of warm water at the eastern equatorial Pacific. The FYO of SST seems to be a standing oscillation. It plays an important role on the formation of strong El Nino events or strong cold water events.(3) The QBO and SO of U propagate eastward along the equator. The origin of QBO and SO may at least be traced as far as the western Indian Ocean. While they propagate along the equator, it strengthens two times at 90oE and the western Pacific, respectively. Like SST, the FYO of U is somehow a standing oscillation.(4) The Oscillations of U have a good coupling relationship with those of SST, while they propagate. When the QBO and SO of SST move to the east side of the eastern equatorial Pacific, it is the time for the QBO and SO of U to enter into the east part of the western Pacific.It is clear that, when we do research work on the formation of El Nino events, our consideration would not be confined to the tropics, it should cover the subtropical region in the southern Pacific. The features of the circulation and other oceanic states in this area are very important to the El Nino events.     

RECONSTRUCTION OF EL NINO EVENT CHRONOLOGY FOR THE LAST 600 YEAR PERIOD

The El Nino events for 1870—1989 were identified according to the sea surface temperature(SST)over the easternequatorial Pacific(0—10°S,90—180°W)and Southern Oscillation Index.The chronicle of the El Nino events in histori-cal time(14708—1879)was reconstructed by using of a series of proxy data such as Australian droughts,Nile floods,Peruvian floods,numbers of landing typhoon in China,cool summers in East Asia,SOI calculated from tree ring data,and El Nino events identified mainly from meteorological and oceanographical conditions along the Ecuador and Perucoast.Finally,114 El Nino events were found for the period 1470—1989.The mean return interval was 4.5 years.The fre-quency of the events seems to have a cyclical variation of 70 years.No close relationship was found between the globalwarming and the frequency of El Nino events.     

从有效位能变化来分析ElNino的年代际变化

利用近50a的美国Maryland大学全球海洋同化分析资料和NCEP全球大气再分析资料，分析了与ElNino相联系的热带太平洋有效位能（APE）的时空演变过程，从有效位能变化角度揭示了50年来ElNino的年代际变化特征。结果表明，热带太平洋ElNino年代际变化特征主要表现为在20世纪70年代末期以前与其后的显著不同。在有效位能异常变化的振幅和频率方面，20世纪70年代末期以后，振荡的振幅显著增,大直频率变慢。在有效位能异常变化的振幅和频率方面，70年代末期以前，ElNino事件的先兆是有效位能先在热带西太平洋异常积累，然后这些积累的有效位能沿赤道快速向东传播并释放能量，使得东太平洋出现能量的异常，东太平洋的有效位能减少，产生ElNino事件；70年代末期以后，ElNino事件的建立没有表现异常的有效位能在热带西太平洋的积累，其建立表现为赤道中太平洋直接出现的局地有效位能的异常，然后表现为不稳定海气耦合模态增幅性地缓慢向东传播，使得东太平洋的有效位能减少，发生ElNino事件。     

Distinguished Effects of Interannual Salinity Variability on the Development of the Central-Pacific El Nino Events

El Nio events in the central equatorial Pacific (CP) are gaining increased attention,due to their increasing intensity within the global warming context.Various physical processes have been identified in the climate system that can be responsible for the modulation of El Nio,especially the effects of interannual salinity variability.In this work,a comprehensive data analysis is performed to illustrate the effects of interannual salinity variability using surface and subsurface salinity fields from the Met Office ENSEMBLES (EN3) quality controlled ocean dataset.It is demonstrated that during the developing phase of an El Nio event,a negative sea surface salinity (SSS) anomaly in the western-central basin acts to freshen the mixed layer (ML),decrease oceanic density in the upper ocean,and stabilize the upper layers.These related oceanic processes tend to reduce the vertical mixing and entrainment of subsurface water at the base of the ML,which further enhances the warm sea surface temperature (SST) anomalies associated with the El Nio event.However,the effects of interannually variable salinity are much more significant during the CP-El Nio than during the eastern Pacific (EP) El Nio,indicating that the salinity effect might be an important contributor to the development of CP-El Nio events.     

STUDY ON THE QUASI-FOUR YEAR OSCILLATION OF AIR-SEA INTERACTION

Complex Singular Value Decomposition(CSVD)analysis technique was applied to study theQuasi Four year Oscillation(QFO)of air sea interaction and its coupled pattern evolution duringdifferent phases.Results show that:(1)CSVD method can better reveal phase relation betweentwo physical fields:(2)Not only northerly anomalies from Northern Hemisphere but alsosoutherly anomalies from Southern Hemisphere contribute to EI Nino.They converge in westernequatorial Pacific,leading to outburst of strong equatorial westerly anomalies,and result in strongEl Nino event onset:(3)An abnormal subtropical anticyclone circulation appears overnorthwestern Pacific while El Nino developing.It favors transitions from the warm SST(EINino)to the cold SST(La Nina),just as the tropical westerly anomalies produced by abnormalcyclone during a decaying La Nina.which encourage the development of El Nino:(4)Thewesterly anomalies in equatorial Pacific are mainly induced by eastward abnormal subtropicalcyclone pairs,which are located in north and south Pacific respectively,and are not the eastwardwesterly anomalies from equatorial Indian Ocean.     

Factors that affect the amplitude of El Nino in global coupled climate models

Historically, El Nino-like events simulated in global coupled climate models have had reduced amplitude compared to observations. Here, El Nino-like phenomena are compared in ten sensitivity experiments using two recent global coupled models. These models have various combinations of horizontal and vertical ocean resolution, ocean physics, and atmospheric model resolution. It is demonstrated that the lower the value of the ocean background vertical diffusivity, the greater the amplitude of El Nino variability which is related primarily to a sharper equatorial thermocline. Among models with low background vertical diffusivity, stronger equatorial zonal wind stress is associated with relatively higher amplitude El Nino variability along with more realistic east–west sea surface temperature (SST) gradient along the equator. The SST seasonal cycle in the eastern tropical Pacific has too much of a semiannual component with a double intertropical convergence zone (ITCZ) in all experiments, and thus does not affect, nor is it affected by, the amplitude of El Nino variability. Systematic errors affecting the spatial variability of El Nino in the experiments are characterized by the eastern equatorial Pacific cold tongue regime extending too far westward into the warm pool. The time scales of interannual variability (as represented by time series of Nino3 SSTs) show significant power in the 3–4 year ENSO band and 2–2.5 year tropospheric biennial oscillation (TBO) band in the model experiments. The TBO periods in the models agree well with the observations, while the ENSO periods are near the short end of the range of 3–6 years observed during the period 1950–94. The close association between interannual variability of equatorial eastern Pacific SSTs and large-scale SST patterns is represented by significant correlations between Nino3 time series and the PC time series of the first EOFs of near-global SSTs in the models and observations. Received: 17 April 2000 / Accepted: 17 August 2000