东亚季风系统的时空变化及其对我国气候异常影响的最近研究进展

本文回顾了关于东亚季风系统的时空变化及其对我国气候异常影响的最近研究进展。许多研究说明,东亚季风系统无论风场的垂直结构、年循环或是水汽输送和降水特征都明显不同于南亚和北澳季风系统,它是亚澳季风系统中一个相对独立的季风系统。并且,研究结果表明了东亚季风系统有明显的时空变化:其中夏季风系统在年际时间尺度上存在着一个准两年周期振荡和具有极向三极子异常的空间分布特征,并从20世纪70年代中后期起至今发生了明显变弱的年代际变化,这个变化在华北尤其显著;而东亚冬季风在年际时间尺度上存在一个准四年周期振荡,从20世纪80年代中后期起也发生了明显变弱的年代际变化,它引起了我国的持续暖冬。进一步的研究还揭示了东亚季风系统的变异是与海–陆–气耦合系统变异及其相互作用密切相关,因而,东亚季风系统可以看成是一个大气–海洋–陆地的耦合气候系统,即称之为东亚季风气候系统。此外,本文还从上述东亚季风气候系统的年际和年代际变异提出了长江流域严重洪涝灾害发生的气候学概念模型和华北持续干旱的气候背景。     

有关南半球大气环流与东亚气候的关系研究的若干新进展

南半球大气环流是全球大气环流的重要组成部分,也是影响气候变化和亚洲季风系统的一个重要因素.中国气象学家很早就注意到南半球大气环流对东亚夏季风降水的影响.近年来,有关南半球气候变率的研究目前正受到世界气象学家越来越多的关注.南半球中高纬大气资料的丰富及南极涛动的确定,使得认识南半球高中纬环流的年际变动规律及其与东亚气候关系成为可能.本文主要介绍近年来有关南极涛动的年际变化与沙尘天气发生频次及东亚冬春季气候的关系,古气候资料揭示的南极涛动与华北降水的关系,以及南半球大气环流与长江中下游夏季降水的关系和南极涛动变率的可预测性等方面的研究进展.并对未来研究方向作了初步的展望.     

Research progress on inter-monthly winter temperature variation in East Asia and climate prediction

近年来,东亚冬季气温的月际间变化十分显著,冬季不同月份或不同阶段之间极端冷暖事件的转折或交替频发.由于月际间变化常常被季节平均掩盖,东亚冬季气候预测面临众多的挑战.因此,亟需研究东亚冬季气温月际间变化的特征和机理,明确其可预测性和预测来源,进而研制考虑月际变化的东亚冬季气温的有效预测方法和预测模型.本文回顾了过去5年对东亚冬季气温月际间变化的主要特征,物理过程,机制,可预测性和预测的研究进展,同时考虑了多个与气温相联系统的变化,包括冬季风,西伯利亚高压,平流层极涡.本文也进一步讨论了未来的研究前景.     

东亚季风指数的定义及其与中国气候的关系

利用NCEP/NCAR 850 hPa月平均风场再分析资料,在客观地选定定义地区范围的基础上;定义了一组新的东亚季风指数:西南季风面积和强度指数,东南季风面积和强度指数,偏北季风面积和强度指数.研究了各季风指数的相互关系、季节变化和年际变异.这6个东亚季风指数突出反映了东亚西南季风、东南季风及偏北季风3支季风气流强度和范围变化的特征.分析表明,它们相互之间既有一定联系,又有独立性.各季风指数存在明显的季节变化和年际变化.另外,分析了各季风指数与中国夏季降水和冬季气温的联系,以考察其解释我国气候异常分布的能力.结果表明,这些指数与我国夏季降水和冬季气温有很好的关系,并各自对应有一定的降水和气温分布.特别是西南季风与东南季风影响我国夏季降水的地区有很大差异.因此,我们指出,研究东亚夏季风时,区别西南季风与东南季风是很有必要的,用单一指数不足以表征它们不同的变化.     

东亚冬季风的时空变化及其与ENSO、AO相互关系的研究进展

作为亚洲季风系统中的一个重要组成部分, 东亚冬季风的变化对北半球甚至全球的天气气候都有重要的影响。本文回顾了近些年国内外关于东亚冬季风变化特征, 主要包括其时间和空间演变及其与ENSO、AO之间相互作用等研究的主要进展。目前已有的研究结果表明, 东亚冬季风系统是一个贯穿于整个大气对流层的深厚型环流系统, 其异常表现为东亚区域整层环流系统的异常;东亚冬季风具有2a, 5~7a的年际变化和10a以上的年代际变化, 有空间分布的不均匀性及爆发与撤退日期的突变性;强弱冬季风年的异常环流形势在对流层各层以及高纬度、中纬度和低纬度地区都有所表现;在年际尺度上, ENSO、AO与东亚冬季风有一定的相关性, 但是在年代际上, 东亚冬季风同两者之间有着更显著的联系, 通过大气动力和热力过程, 它们之间相互影响、相互作用, 共同影响我国、东亚甚至于全球天气气候的变化。     

夏季风北推和强度对我国北方夏季降水影响的年代际特征

利用近50年NCEP／NCAR的候平均风场和比湿场资料,计算了东亚夏季风北界的位置,发现季风北界存在着明显的年代际变化,季风北界偏北的年份集中于1950年代和1960年代,而偏南的年份则集中于1980年代和1990年代,并且各个季风区的季风北界的年代际变化比较一致。利用这些资料定义了“区域夏季风指数”,更好地反映东亚夏季风的强弱和北方各地区旱涝之间的关系;用合成分析方法比较了夏季风强度与北方各干旱半干旱区域旱涝变化的关系,说明华北地区最为敏感,区域季风指数与7,8月降水量的关系最好。最后用小波分析方法,讨论了这些区域的夏季风强度和夏季降水量在不同时间尺度上的关系,发现区域季风强度指数和各季风区降水量的关系在15年左右的年代际尺度上关系最好,在3～5年的年际尺度上也有比较好的相关。这些结果对于北方地区的气候趋势预测有一定参考价值。     

孟加拉湾冬季风及其与亚洲夏季气候的关系

利用东亚和孟湾近海1000hPa低层风场,定义了一个东亚和孟湾的冬季风指数,通过对比分析发现,孟湾冬季风指数温度场和风场具有显著的气候意义.同时可以看到孟湾和东亚冬季风都具有年际和年代际变化,但其变化特征有较大的不同,东亚冬季风有较明显的15～20年的年代际变化,而孟湾冬季风在最近50年则表现为一致增强的趋势.在此基础上,进一步利用相关分析和合成分析方法分析了孟湾冬季风活动的跨季节影响,研究发现,孟湾冬季风对春、夏季气候有较强的跨季节影响,孟湾冬季风指数与次年夏季中国的降水有较好的对应关系.     

近40年东亚冬季风强度的多时间尺度变化特征及其与气候的关系

文章利用季风强度指数研究了近40年冬季1月份东亚季风强度趋势、年际、十年际变化特征及其与我国冬季天气气候的关系。结果指出,东亚冬季风的年际变化、年代际变化与我国冬季天气气候关系密切。弱冬季风时,我国天气气候是暖、湿;强冬季风时,则冷、干。但是,季风与我国气候在近40年中的趋势变化关系则不如其年际、十年际变化更密切。近40年来,我国冬季气温已明显升高,季风减弱,但不太显著。80年代中期开始,冬季风已明显减弱。此外,还指出,东亚强冬季风时,大气环流具有强WP型、弱EU遥相关型的特征     

季风的季节、年际和年代际变化

区域季风和全球季风的分布依赖于季风的定义。基于“季风是热带大气水汽中心随越赤道气流向赤道外季节扩展”的定义总结并讨论了东亚季风的区域特征、亚洲季风的季节进程和全球季风的分布以及季风的年际和年代际变化。最后对季风研究的潜在方向作了适当的讨论。     

冬夏东亚季风环流对太平洋热状况的响应

冬夏隔季韵律关系一直是我国长期天气预报和短期气候预测的一个重要依据,然而迄今为止对它们之间的物理过程及成因机理并不十分清楚。利用NCEP/NCAR全球2.5°×2.5°网格月平均再分析资料,研究1951~2000年冬夏东亚季风环流异常变化与太平洋海面温度(SST)的关系及对关键海温区响应机理。研究指出:冬夏东亚季风环流隔季韵律关系及其年际变化与赤道东太平洋海面温度异常(SSTA)变化密切相关,冬季赤道东太平洋出现La Ni~na(El Ni~no)型的SST分布,有利冬、夏东亚季风环流加强(减弱),其影响过程通过赤道Walker环流强(弱)以及东亚地区Hadley环流强(弱)过程完成。冬季赤道东太平洋海温变化是冬、夏东亚环流季节以及年际变化的一个重要外强迫因子。     

欧洲多个耦合气候模式对东亚冬季气候的预测性能研究

在短期气候预测方法中,多模式集合预测作为一种实用方法得到了广泛的研究。利用DEMETER多模式集合预测系统1980—2001年的回报试验,研究了欧洲7个耦合模式对东亚地区(0°—60°N,70°—140°E)冬季大气环流和气候异常的预测效能。研究的气候要素是冬季500 hPa高度场、850 hPa风场、表面气温场和降水场。集合平均(EM)是最基本的多模式集合构建方法。为了进一步订正模式预测的误差,基于经验正交函数分解进行订正,产生“合成数据集”,并利用该数据集进行合成集合平均或合成超级集合(SEM/SSE)。研究表明,东亚地区冬季气候异常的模式预测效能热带高于中高纬度地区,海洋高于内陆。多模式集合平均和合成集合平均或合成超级集合均从整体上对东亚地区冬季气候异常的预测效能有一定程度的提高,体现了其相对于7个单一模式的优势。两类不同的多模式集合方法对预测结果也有一定的影响,其中,合成集合平均或合成超级集合对冬季500 hPa高度场、850 hPa风场和降水场异常的预测效能优于集合平均;但是对于冬季表面气温场异常的预测,集合平均优于合成集合平均或合成超级集合。     

The seasonal predictability of the Asian summer monsoon in a two-tiered forecast system

An extensive set of boreal summer seasonal hindcasts from a two tier system is compared with corresponding seasonal hindcasts from two other coupled ocean–atmosphere models for their seasonal prediction skill (for precipitation and surface temperature) of the Asian summer monsoon. The unique aspect of the two-tier system is that it is at relatively high resolution and the SST forcing is uniquely bias corrected from the multi-model averaged forecasted SST from the two coupled ocean–atmosphere models. Our analysis reveals: (a) The two-tier forecast system has seasonal prediction skill for precipitation that is comparable (over the Southeast Asian monsoon) or even higher (over the South Asian monsoon) than the coupled ocean–atmosphere. For seasonal anomalies of the surface temperature the results are more comparable across models, with all of them showing higher skill than that for precipitation. (b) Despite the improvement from the uncoupled AGCM all models in this study display a deterministic skill for seasonal precipitation anomalies over the Asian summer monsoon region to be weak. But there is useful probabilistic skill for tercile anomalies of precipitation and surface temperature that could be harvested from both the coupled and the uncoupled climate models. (c) Seasonal predictability of the South Asian summer monsoon (rainfall and temperature) does seem to stem from the remote ENSO forcing especially over the Indian monsoon region and the relatively weaker seasonal predictability in the Southeast Asian summer monsoon could be related to the comparatively weaker teleconnection with ENSO. The uncoupled AGCM with the bias corrected SST is able to leverage this teleconnection for improved seasonal prediction skill of the South Asian monsoon relative to the coupled models which display large systematic errors of the tropical SST’s.     

BCC二代气候系统模式的季节预测评估和可预报性分析

本文利用国家气候中心（BCC）第二代季节预测模式系统历史回报数据,从确定性预报和概率预报两个方面系统地评估了该模式对气温、降水和大气环流的季节预报性能,并与BCC一代气候预测模式的结果进行了对比,重点分析了二代模式的季节可预报性问题。结果显示,BCC二代模式对全球气温、降水和环流的预报性能整体上优于一代模式,特别在热带中东太平洋、印度洋和海洋大陆地区的温度和降水的预报效果改进尤为明显。这些热带地区降水预报的改进,可以通过激发太平洋—北美型（PNA）、东亚—太平洋型（EAP）等遥相关波列提升该模式在中高纬地区的季节预报技巧。分析表明,厄尔尼诺和南方涛动（ENSO）信号在热带和热带外地区均是模式季节可预报性的重要来源,BCC二代模式能够较好把握全球大气环流对ENSO信号的响应特征,从而通过对ENSO预报技巧的改进有效地提升了模式整体的预报性能。从概率预报来看,BCC二代模式对我国冬季气温和夏季降水具备一定的预报能力,特别是对我国东部大部分地区冬季气温正异常和负异常事件预报的可靠性和辨析度相对较高。因此,进一步提高模式对热带大尺度异常信号和大气主要模态的预报能力、加强概率预报产品释用对提高季节气候预测水平具有重要意义。     

Predictability of the western North Pacific summer climate demonstrated by the coupled models of ENSEMBLES

The Asian monsoon system, including the western North Pacific (WNP), East Asian, and Indian monsoons, dominates the climate of the Asia-Indian Ocean-Pacific region, and plays a significant role in the global hydrological and energy cycles. The prediction of monsoons and associated climate features is a major challenge in seasonal time scale climate forecast. In this study, a comprehensive assessment of the interannual predictability of the WNP summer climate has been performed using the 1-month lead retrospective forecasts (hindcasts) of five state-of-the-art coupled models from ENSEMBLES for the period of 1960–2005. Spatial distribution of the temporal correlation coefficients shows that the interannual variation of precipitation is well predicted around the Maritime Continent and east of the Philippines. The high skills for the lower-tropospheric circulation and sea surface temperature (SST) spread over almost the whole WNP. These results indicate that the models in general successfully predict the interannual variation of the WNP summer climate. Two typical indices, the WNP summer precipitation index and the WNP lower-tropospheric circulation index (WNPMI), have been used to quantify the forecast skill. The correlation coefficient between five models’ multi-model ensemble (MME) mean prediction and observations for the WNP summer precipitation index reaches 0.66 during 1979–2005 while it is 0.68 for the WNPMI during 1960–2005. The WNPMI-regressed anomalies of lower-tropospheric winds, SSTs and precipitation are similar between observations and MME. Further analysis suggests that prediction reliability of the WNP summer climate mainly arises from the atmosphere–ocean interaction over the tropical Indian and the tropical Pacific Ocean, implying that continuing improvement in the representation of the air–sea interaction over these regions in CGCMs is a key for long-lead seasonal forecast over the WNP and East Asia. On the other hand, the prediction of the WNP summer climate anomalies exhibits a remarkable spread resulted from uncertainty in initial conditions. The summer anomalies related to the prediction spread, including the lower-tropospheric circulation, SST and precipitation anomalies, show a Pacific-Japan or East Asia-Pacific pattern in the meridional direction over the WNP. Our further investigations suggest that the WNPMI prediction spread arises mainly from the internal dynamics in air–sea interaction over the WNP and Indian Ocean, since the local relationships among the anomalous SST, circulation, and precipitation associated with the spread are similar to those associated with the interannual variation of the WNPMI in both observations and MME. However, the magnitudes of these anomalies related to the spread are weaker, ranging from one third to a half of those anomalies associated with the interannual variation of the WNPMI in MME over the tropical Indian Ocean and subtropical WNP. These results further support that the improvement in the representation of the air–sea interaction over the tropical Indian Ocean and subtropical WNP in CGCMs is a key for reducing the prediction spread and for improving the long-lead seasonal forecast over the WNP and East Asia.     

Potential predictability of the Asian summer monsoon on monthly and seasonal time scales

Summary ¶The potential predictability of the monthly and seasonal means during the Northern Hemisphere summer and winter is studied by estimating the signal-to-noise ratio. Based on 33 years of daily low-level wind observations and 24 years of satellite observations of outgoing long wave radiation, the predictability of the Asian summer monsoon region is contrasted with that over other tropical regions. A method of separating the contributions from slowly varying boundary forcing and internal dynamics (e.g., intraseasonal oscillations) that determine the predictability of the monthly mean tropical climate is proposed. We show that the Indian monsoon climate is only marginally predictable in monthly time scales as the contribution of the boundary forcing in this region is relatively low and that of the internal dynamics is relatively large. It is shown that excluding the Indian monsoon region, the predictable region is larger and predictability is higher in the tropics during northern summer. Even though the boundary forced variance is large during northern winter, the predictable region is smaller as the internal variance is larger and covers a larger region during northern winter (due to stronger intraseasonal activity). Consistent with the estimates of predictability of monthly means, estimates of potential predictability on seasonal time scales also indicate that predictability of seasonal mean Indian monsoon is limited.Received December 6, 2002; accepted March 16, 2003 Published online: June 12, 2003     

Predictability of the summer East Asian upper-tropospheric westerly jet in ENSEMBLES multi-model forecasts

The interannual variation of the East Asian upper-tropospheric westerly jet(EAJ) significantly affects East Asian climate in summer. Identifying its performance in model prediction may provide us another viewpoint,from the perspective of uppertropospheric circulation,to understand the predictability of summer climate anomalies in East Asia. This study presents a comprehensive assessment of year-to-year variability of the EAJ based on retrospective seasonal forecasts,initiated from1 May,in the five state-of-the-art coupled models from ENSEMBLES during 1960–2005. It is found that the coupled models show certain capability in describing the interannual meridional displacement of the EAJ,which reflects the models' performance in the first leading empirical orthogonal function(EOF) mode. This capability is mainly shown over the region south of the EAJ axis. Additionally,the models generally capture well the main features of atmospheric circulation and SST anomalies related to the interannual meridional displacement of the EAJ. Further analysis suggests that the predicted warm SST anomalies in the concurrent summer over the tropical eastern Pacific and northern Indian Ocean are the two main sources of the potential prediction skill of the southward shift of the EAJ. In contrast,the models are powerless in describing the variation over the region north of the EAJ axis,associated with the meridional displacement,and interannual intensity change of the EAJ,the second leading EOF mode,meaning it still remains a challenge to better predict the EAJ and,subsequently,summer climate in East Asia,using current coupled models.     

欧亚北部冬季增雪“影响”我国夏季气候异常的机理研究——陆面季节演变异常的“纽带”作用

本文主要利用美国冰雪资料中心 (The National Snow and Ice Data Center) 提供的卫星反演积雪资料和ERA40土壤温度再分析资料, 采用相关分析, 对欧亚北部冬季新增雪盖面积 (冬季TFSE) 与我国夏季气候异常关系的可能物理途径进行了初步研究。结果表明, 春夏季陆面季节演变异常是上述“隔季相关” 的重要纽带: 当冬季TFSE偏大时, 欧亚北部大范围积雪—冻土自西向东、 由南向北的融化进程明显减慢, 受其影响, 至夏季, 东亚中高纬区积雪和地表冻土的融化异常强烈, 土壤温度明显偏低, 这种夏季陆面异常可能通过自身的冷却作用, 通过加强东亚中高纬异常北风对东亚中纬区夏季变冷产生直接影响, 进而与西太平洋副热带高压, 乃至与我国江南夏季降水异常产生关联; 冬季TFSE偏小时相反。分析表明, 冬季TFSE信号在东亚中高纬局地的春季积雪—冻土融化过程中被加强, 并在夏季达到显著。     

Equatorial pacific SSTA-related decadal variations of potential predictability of ENSO and interannual climate

Summary Based on analysis of NCEP reanalysis data and SST indices of the recent 50 years, decadal changes of the potential predictability of ENSO and interannual climate anomalies were investigated. Autocorrelation of Nino3 SST anomalies (SSTA) and correlation between atmospheric anomalies fields and Nino3 SSTA exhibit obvious variation in different decades, which indicates that Nino3 SSTA-related potential predictability of ENSO and interannual climate anomalies has significant decadal changes. Time around 1977 is not only a shift point of climate on the interdecadal time scale but also a catastrophe point of potential predictability of ENSO and interannual climate. As a whole, ENSO and the PNA pattern in boreal winter are more predictable in 1980s than in 1960s and 1970s, while the Nino3 SSTA-related potential predictability of the Indian monsoon and the East Asian Monsoon is lower in 1980s than in 1960s and 1970s. Received October 19, 1999 Revised December 30, 1999     

季风与ENSO的选择性相互作用:年循环和春季预报障碍的影响

本文主要基于对Webster and Yang（1992）一文的回顾,讨论了年循环在季风和ENSO相互作用中的作用、春季预报障碍（SPB）、Webster-Yang指数（WYI）、以及亚洲夏季风的前期讯号等内容。亚洲季风和ENSO作为全球天气和气候变率的主要来源,它们之间的相互作用存在明显的年变化和季节“锁相”特征:在北半球秋冬季,亚洲季风对流活动最弱,此时ENSO的信号最强;但是到了北半球春季,亚洲季风对流快速爆发,而此时的ENSO信号却迅速衰减。亚洲季风和ENSO位相的错位变化使得热带海—气系统的不稳定性在北半球春季达到最大,此时任意一个微小的扰动都容易快速增长,最终导致基于ENSO的预报技巧减小。亚洲夏季风环流本质上可以看成是大气对副热带地区潜热加热的低频罗斯贝波响应,它具有很强的垂直风切变,这是WYI定义的物理基础。WYI数值越大,代表垂直东风切变越大,即亚洲季风环流增强,反之亦然。利用WYI与前期大气环流场、欧亚雪盖、土壤湿度等物理量进行回归分析,结果表明:当亚洲夏季风增强时,前期冬季和春季,在北印度洋和亚洲副热带地区上空出现东风异常,同时在更高纬度地区伴随出现西风的异常;此外,副热带地区如印度次大陆、中南半岛和东亚的土壤湿度增大;中纬度地区尤其是青藏高原中西部的积雪密度明显减小。这些前期讯号的发现有助于我们构建动力统计模型,进而提高对亚洲夏季风的季节预报水平。     

How Well do Existing Indices Measure the Strength of the East Asian Winter Monsoon？

Defining the intensity of the East Asian winter monsoon (EAWM) with a simple index has been a difficult task. This paper elaborates on the meanings of 18 existing EAWM strength indices and classifies them into four categories: low level wind indices, upper zonal wind shear indices, east-west pressure contrast indices, and East Asian trough indices. The temporal/spatial performance and prediction potential of these indices are then analyzed for the 1957--2001 period. It reveals that on the decadal timescale, most indices except the east--west pressure contrast indices can well capture the continuous weakening of the EAWM around 1986. On the interannual timescale, the low level wind indices and East Asian trough indices have the best predictability based on knowledge of the El Nino-Southern Oscillation and Arctic Oscillation, respectively. All the 18 existing indices can well describe the EAWM-related circulation, precipitation, and lower tropospheric air temperature anomalies. However, the variations of surface air temperature over large areas of central China cannot be well captured by most indices, which is possibly related to topographic effects. The results of this study may provide a possible reference for future studies of the EAWM.