1901-2007年澳门地面气温变化的分析

 利用澳门的气温观测资料, 分析了澳门1901-2007年地面气温变化的基本特征。结果表明：近107 a的升温率为0.066℃/10a, 明显低于全球平均升温率。季节平均气温的年代际变化有明显的季节差异,最大的增暖发生在春季和冬季,夏季的增暖最小;冬、夏季的变化分别有明显的时间尺度约为60 a和30 a的振动。年平均最高气温的升温率仅为最低气温的一半左右。最高气温的年代际变化呈缓慢的气候波动现象,20世纪80年代中期以后的升幅与历史上的增暖大致相当;最低气温近20多年来的增暖趋势可能是其长期（变暖）趋势的延续。年平均日较差整体来说是趋于减少的,但近30 a却趋于增加。     

北极涛动的年代际变化及其气候影响

北极涛动(Arctic Oscillation,AO)是北半球热带外地区大气环流变率的主导模态,对北半球以及区域尺度气温变化具有重要影响。AO可在没有外强迫条件下通过波流相互作用形成,因此它被认为是全球气候系统内部变率的重要组成部分。研究年代际尺度上AO的变化及其气候影响,可加深对当前北半球气候变化规律的物理理解,也可为预估未来年代际尺度上气候变化及其不确定性提供科学依据。本文从AO影响东亚冬季风年代际变化的物理机制、AO对北半球冬季气温长期趋势的贡献、AO年代际影响的不确定性三个方面出发,简要回顾和总结了近年来有关年代际尺度上冬季AO时空变化及其对北半球气候影响的研究成果,并初步展望一些值得继续深入研究的问题。     

Review on the Data Application and Climate Variability in China for Various Timescales

 Temperature and precipitation are two main variables in climate changes. Spatial-temporal resolutions of temperature and precipitation, and recent studies on climate variability in China are summarized and discussed in this review. Recent 100-year datasets are used to reveal quasi-20-year and quasi-70-year oscillations in eastern China, as well as precipitation pattern shift in China. An oscillation with the timescale of 70-80 years is introduced in eastern China, derived from 500-year and 1000-year proxy and observation records. Finally, it is noted that more research achievements on climate change in China depend upon developing or reconstructing long-term series, studying in regularity and mechanism, as well as upon prediction and service etc.     

太平洋年代际振荡研究进展(英)

近10年来,太平洋年代际振荡(PDO)因其对全球气候系统的深远影响而得到广泛的研究。PDO指的足在太平洋的气候变率中具有类似ENSO空间结构但周期为10-30年的一种振荡,当北太平洋中部海面温度异常增暖(冷却)时,热带太平洋中部和东部以及北美沿岸常同时伴随有同等幅度的异常冷却(增暖)。总体而言,有两类观点分别认为PDO起源于确定的海气耦合过程或起源于大气的随机强迫。确定性起源论强调,一个海气耦合系统内部的物理过程可以提供一个正反馈机制以增强一初始扰动,及一个负反馈机制以促使振荡位相发生逆转;海洋环流的动力演变过程决定了振荡的时间尺度。随机性起源论则强调,因为大气活动没有一个特定的时间尺度,其时间尺度谱实际上对应于白噪音谱,所以大气对海洋的强迫是随机的;而海洋常在低频谱段有最大的响应振幅,其对应的周期约为十几年或几十年。作者试图系统性地理解PDO在观测、理论和数值方面的研究现状,从而为当前研究提供一个有用的背景性参考。     

东北三省冬季气温变化的有关研究进展

 通过简要回顾中国学者有关东北三省冬季气温变化的研究成果,概括分析了近百年或近几十年时间尺度平均气温及最高、最低气温年际、年代际变化的基本特征,综述了与冬季气温年际、年代际变化相关的各类海-气环流因子。近百年来,东北冬季气温上升,1987年前后发生增暖突变;北极涛动、西伯利亚高压、东亚冬季风等是影响东北冬季气温年际变化的主要因子;北极涛动、东亚冬季风、东亚中高纬环流型等的持续性是冬季气温年代际变化的主要因子。对多种变化特征集中出现的20世纪70年代末的气候变化值得深入探讨,也有必要在整个东北三省的范围内,深入开展冬季气温预测方法的系统研究。另外,测站气温序列的非均一性问题也应引起足够重视。     

中国气候变化研究中不同时间尺度资料的应用与研究

Temperature and precipitation are two main variables in climate changes.Spatial-temporal resolutions of temperature and precipitation,and recent studies on climate variability in China are summarized and discussed in this review.Recent 100-year datasets are used to reveal quasi-20-year and quasi-70-year oscillations in eastern China,as well as precipitation pattern shift in China.An oscillation with the timescale of 70-80 years is introduced in eastern China.derived from 500-year and 1000-year proxy and observation records.Finally,it is noted that more research achievements on climate change in China depend upon developing or reconstructing long term series,studying in regularity and mechanism,as well as upon prediction and service etc.     

交叉小波变换在区域气候分析中的应用

将交叉谱与小波变换分析方法相结合,与传统的交叉谱方法相比,交叉小波变换方法用于区域气候变化与大气环流系统之间耦合振荡行为的相关分析更具优越性,不仅可以弥补经典交叉谱分析方法存在的缺陷,而且能够发挥小波变换在时频两域都具有表征气候信号局部化特征的作用;该方法具有较强的耦合信号分辨能力,便于描述耦合信号在时频域中分布状况的优点。采用交叉小波变换分析北极涛动指数(AOI)距平与河南省月平均降水量距平、气温距平序列之间的联合统计特征及其在时频域中的相关关系,根据小波互相关系数、交叉小波凝聚谱和小波位相谱分析北极涛动对河南省气候变化的可能影响。应用结果表明:河南省降水量和气温变化与AOI之间存在着多时间尺度的显著相关振荡,年代际尺度周期上的互相关系数明显大于年际尺度周期,相关程度随耦合振荡频率的增大而减小,相关显著性取决于两者的时频域联合统计特征,时域中小波互相关系数、小波凝聚谱和小波位相谱的分布具有明显的局部化特征;说明北极涛动年际和年代际异常对河南省气候变化具有显著影响。     

动力气候模式预测系统业务化及其应用

动力气候模式是目前国际上开展气候预测的主要工具。经过 8年多的研制、发展和业务化过程 ,国家气候中心已建立起第一代动力气候模式预测业务系统 ,并以此为平台 ,形成了一套包括月、季节到年际时间尺度的动力模式预测业务。 2 0年历史回报试验和 1年多的试验性业务运行结果表明 ,该系统对东亚区域的季节预测具有较好的预测能力 ,其预测结果已经在实际业务中得到了应用 ,并成为我国短期气候预测业务的重要参考依据。该文是对该动力模式系统性能的介绍 ,也是对国家“九五”重中之重课题的加强课题“短期气候预测综合动力模式预测系统业务化”专题的总结汇报。     

Interannual Climate Variability of the Past Millennium from Simulations

The interannual variability of global temperature and precipitation during the last millennium is analyzed using the results of ten coupled climate models participating in the Paleoclimate Modelling Intercomparison Project Phase 3. It is found that large temperature(precipitation) variability is most dominant at high latitudes(tropical monsoon regions), and the seasonal magnitudes are greater than the annual mean. Significant multi-decadal-scale changes exist throughout the whole period for the zonal mean of both temperature and precipitation variability, while their long-term trends are indistinctive. The volcanic forcings correlate well with the temperature variability at midlatitudes, indicating possible leading drivers for the interannual time scale climate change.     

北京市能源系统气候变化脆弱性分析与适应建议

1951-2014年,北京市年平均气温以0.37℃/10a的速度上升,且热岛效应强度和范围增大。随着北京城市化发展,气候变化给北京市能源系统带来的额外压力也趋于显著。本研究着重分析了气候变化条件下能源系统的脆弱性。研究结果表明,气候变化下北京市能源系统的脆弱性主要表现在高温天气条件下,电力需求负荷超过电力供应系统设计最大负荷;低温条件下,天然气供应短缺;极端天气给能源生产、能源供应和能源运输造成威胁。针对北京市能源系统的脆弱性,借鉴国际经验,提出了北京市能源系统提升气候变化适应能力的短期战略和长期战略,并分别从政策、技术和管理方面提出了短期战略的适应建议。     

Non-uniform interhemispheric temperature trends over the past 550 years

The warming trend over the last century in the northern hemisphere (NH) was interrupted by cooling from ad 1940 to 1975, a period during which the southern hemisphere experienced pronounced warming. The cause of these departures from steady warming at multidecadal timescales are unclear; the prevailing explanation is that they are driven by non-uniformity in external forcings but recent models suggest internal climate drivers may play a key role. Paleoclimate datasets can help provide a long-term perspective. Here we use tree-rings to reconstruct New Zealand mean annual temperature over the last 550 years and demonstrate that this has frequently cycled out-of-phase with NH mean annual temperature at a periodicity of around 30–60 years. Hence, observed multidecadal fluctuations around the recent warming trend have precedents in the past, strongly implicating natural climate variation as their cause. We consider the implications of these changes in understanding and modelling future climate change.     

Interdecadal Variability of the East Asian Summer Monsoon in an AGCM

It is well known that significant interdecadal variation of the East Asian summer monsoon （EASM） occurred around the end of the 1970s. Whether these variations can be attributed to the evolution of global sea surface temperature （SST） and sea ice concentration distribution is investigated with an atmospheric general circulation model （AGCM）. The model is forced with observed monthly global SST and sea ice evolution through 1958-1999. A total of four integrations starting from different initial conditions are carried out. It is found that only one of these reproduces the observed interdecadal changes of the EASM after the 1970s, including weakened low-level meridional wind, decreased surface air temperature and increased sea level pressure in central China, as well as the southwestward shift of the western Pacific subtropical high ridge and the strengthened 200-hPa westerlies. This discrepancy among these simulated results suggests that the interdecadal variation of the EASM cannot be accounted for by historical global SST and sea ice evolution. Thus, the possibility that the interdecadal timescale change of monsoon is a natural variability of the coupled climate system evolution cannot be excluded.     

关于年代际气候变化可能机制的研究

年代际气候变化作为年际和月季气候变化的重要背景,往往影响着年际和月季时间尺度的气候及特征。随着科学的发展进步和社会需求的提高,年代际气候变化已成为人们关注的重要问题。作为气候动力学和气候预测研究的重要内容之一,年代际气候变化及其动力学机制的研究在国内外都在蓬勃开展,并取得了不少的成果。本文除简要介绍了中国气候的年代际变化特征,将着重就年代际气候变化的可能机制作一个系统的综合性讨论,内容主要包括全球主要海温变化模态的影响、气候系统相互关系年代际变化的影响、大气行星尺度系统年代际变化的影响,以及太阳活动及火山爆发的影响等。大家知道,年代际气候变化研究十分重要,但也可以看到年代际气候变化的动力学机制却十分复杂,不少问题还没有搞的十分清楚,需要加大力量进行深入研究;我们相信,深入的研究结果必将对年代际气候变化的预测提供可靠的科学依据,进而推动年代际气候变化的业务预测及其能力的提高。     

Decadal/Interdecadal Variations of the Ocean Temperature and its Impacts on Climate

Decadal/interdecadal climate variability is an important research focus of the CLIVAR Program and has been paid more attention. Over recent years, a lot of studies in relation to interdecadal climate variations have been also completed by Chinese scientists. This paper presents an overview of some advances in the study of decadal/interdecadal variations of the ocean temperature and its climate impacts, which includes interdecadal climate variability in China, the interdecadal modes of sea surface temperature (SST) anomalies in the North Pacific, and in particular, the impacts of interdecadal SST variations on the Asian monsoon rainfall. As summarized in this paper, some results have been achieved by using climate diagnostic studies of historical climatic datasets. Two fundamental interdecadal SST variability modes (7– 10-years mode and 25–35-years mode) have been identified over the North Pacific associated with different anomalous patterns of atmospheric circulation. The southern Indian Ocean dipole (SIOD) shows a major feature of interdecadal variation, with a positive (negative) phase favoring a weakened (enhanced) Asian summer monsoon in the following summer. It is also found that the China monsoon rainfall exhibits interdecadal variations with more wet (dry) monsoon years in the Yangtze River (South China and North China) before 1976, but vice versa after 1976. The weakened relationship between the Indian summer rainfall and ENSO is a feature of interdecadal variations, suggesting an important role of the interdecadal variation of the SIOD in the climate over the south Asia and southeast Asia. In addition, evidence indicates that the climate shift in the 1960s may be related to the anomalies of the North Atlantic Oscillation (NAO) and North Pacific Oscillation (NPO). Overall, the present research has improved our understanding of the decadal/interdecadal variations of SST and their impacts on the Asian monsoon rainfall. However, the research also highlights a number of problems for future research, in particular the mechanisms responsible for the monsoon long-term predictability, which is a great challenge in climate research.     

1961-2007年云南干季干湿气候变化研究

从影响自然干湿变化的多种因素出发,基于云南省15个站点1961-2007年干季9项气候要素实测数据,应用因子分析法研究云南干季干湿气候变化特征。提取了表征干季干湿气候变化的3个公共因子,阐明了云南干季干湿气候变化特点和原因。结果显示：1960年代以来5个年代干湿气候变化明显,变化原因各异,总变化趋势是湿度缓降、干旱强度渐强;1960-1980年代都处于中等干旱偏弱态势,进入1990年代后降水时间分布不均和气候变暖导致干季气候持续典型偏干;干季总降水量变化趋势有不确定性,年代际变化明显、变率不大,但其年际变化突出造成干季干湿状况年际波动大。     

海河流域平原地区绝对湿度变化趋势和跃升现象

20世纪80年代以来,海河流域经受了严重的气象性和水源性干旱;与此同时,其自然气候蒸发能力却呈现出显著的下降趋势。利用标准气象台站的历史资料,研究了该流域大气绝对湿度的演变趋势,初步的研究结果表明:海河流域大气绝对湿度呈现年代增加的趋势,尤其是每年5、6月份的农田灌溉季节,这种增加的趋势更加显著;值得指出的是,自20世纪80年代中期以来,该流域的大气绝对湿度出现一个显著跃升的现象,跃升幅度达10%左右。鉴于水汽在天气气候和水份循环中的重要作用,该流域大气绝对湿度增加原因及其气候环境效应,值得进一步关注和研究。     

Modelling the Baltic Sea ocean climate on centennial time scale: temperature and sea ice

This study considers the possible use of different kinds of forcing datasets in Baltic Sea ocean climate modelling on centennial time scales, in particular for the past half millennium. We demonstrate that high-quality station data of the past century and gridded multi-proxy reconstructions for the past 500 years can be used with great success but with various levels of detail. We also demonstrate that output data from the state-of-the-art global climate model EcHo-G are not suitable for modelling the Baltic Sea ocean climate. Two climate properties were studied: the annual maximum ice extent (MIB) and the vertically and horizontally integrated annual water temperature. Centennial time scale results indicate that the seventeenth and nineteenth centuries were the coldest centuries, while the 1690s were the coldest decade and 1695 the coldest year in the last 500 years. The results also indicate that the twentieth century was the warmest century with the least MIB of the last 500 years. On a decadal time scale, the 1990s, 1930s and 1730s were the warmest decades and comparable in terms of both water temperature and MIB. The year 1989 had the minimum observed MIB of only 52,000 km², implying that the Baltic Sea has been partly ice covered in all winters of the past half millennium. Even though different climate forcing mechanisms may operate on the climate system today compared to over the last half millennium, this study cannot clearly state that the region is experiencing climate change outside the natural limits of the past 500 years.     

Multi-scale analysis of global temperature changes and trend of a drop in temperature in the next 20 years

Summary A novel multi-timescale analysis method, Empirical Mode Decomposition (EMD), is used to diagnose the variation of the annual mean temperature data of the global, Northern Hemisphere (NH) and China from 1881 to 2002. The results show that: (1) Temperature can be completely decomposed into four timescales quasi-periodic oscillations including an ENSO-like mode, a 6–8-year signal, a 20-year signal and a 60-year signal, as well as a trend. With each contributing ration of the quasi-periodicity discussed, the trend and the 60-year timescale oscillation of temperature variation are the most prominent. (2) It has been noticed that whether on century-scale or 60-year scales, the global temperature tends to descend in the coming 20 years. (3) On quasi 60-year timescale, temperature abrupt changes in China precede those in the global and NH, which provides a denotation for global climate changes. Signs also show a drop in temperature in China on century scale in the next 20 years. (4) The dominant contribution of CO₂ concentration to global temperature variation is the trend. However, its influence weight on global temperature variation accounts for no more than 40.19%, smaller than those of the natural climate changes on the rest four timescales. Despite the increasing trend in atmospheric CO₂ concentration, the patterns of 20-year and 60-year oscillation of global temperature are all in falling. Therefore, if CO₂ concentration remains constant at present, the CO₂ greenhouse effect will be deficient in counterchecking the natural cooling of global climate in the following 20 years. Even though the CO₂ greenhouse effect on global climate change is unsuspicious, it could have been excessively exaggerated. It is high time to re-consider the trend of global climate changes.     

Summer temperature variations recorded in tree-ring ��13C values on the northeastern Tibetan Plateau

The source region of the Yangtze River is experiencing ever-faster glacier retreat and land deterioration as a result of climate change; however, understanding the past climate variability in the region is still limited by lack of long-term climate records. Here, we report a temperature-sensitive annual stable carbon isotope (??¹³C) series of Tibetan juniper (Sabina tibetica) tree rings from 1850 to 2002 in natural forests in the source region of the Yangtze River on the northeastern Tibetan Plateau. The stable carbon discrimination (??¹³C) is significantly negatively correlated with the regional mean summer (May, June, and July) temperature, as well as with large-scale temperature variations. The reconstructed mean summer temperature explained about 44.3% of the total variance. It also agreed well with neighboring temperature proxies, including the ice-core ??¹⁸O series from the Guoqu glacier and from Dasuopu glacier and other tree-ring proxies. The cold and warm periods indicated by the climate reconstruction also coincide well with documented glacier advances and retreats in the eastern and southeastern Tibetan Plateau. The significant correlations among the reconstructed temperature, sea surface temperature (SST_Nino3), and the Southern Oscillation index suggest the influences of synoptic atmospheric circulation on low-frequency variations in temperature on the region of the Yangtze River.     

Interdecadal variability of regional climate change: implications for the development of regional climate change scenarios

Summary Illustrative examples are discussed of the interdecadal variability features of the regional climate change signal in 5 AOGCM transient simulations. It is shown that the regional precipitation change signal is characterized by large variability at decadal to multidecadal scales, with the structure of the variability varying markedly across regions. Conversely, the regional temperature change signal shows low interdecadal variability. Results are compared across scenarios, models and different realizations with the same model. Our analysis indicates that, at the decadal scale, linear scaling of the regional climate change signal by the global temperature change works relatively well for temperature but less so for precipitation. The nonlinear fraction of the climate change signal tends to decrease with the magnitude of the signal. The implications of interdecadal variability for the generation of regional climate change scenarios are discussed, in particular concerning the use of multi-experiment ensembles to produce such scenarios.