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1.
利用影响南海夏季风年际变化的主要气候现象厄尔尼诺-南方涛动（El Ni?o-Southern Oscillation,ENSO）和对流层准两年振荡（Tropospheric Biennial Oscillation,TBO）相关的气候因子,提出了以过程判别函数确定物理过程的持续性,建立年际尺度的集成物理统计预测模型,而非年际尺度变率由经验统计模型预测,二者相结合,发展了集成物理-经验统计预测模型。经验模型在拟合时段的回报结果很好,但在独立样本预测时效果明显降低,其中预测评分（PS）降低了23%,距平相关系数（ACC）降低了63%;相比之下,集成物理-经验统计预测模型在独立样本预测时比经验模型有更好的预测结果（PS评分提高了9.5%,ACC提高了75%）,且预测结果相对稳定。此外,集成物理-经验统计预测模型对南海夏季风降水的空间分布也有一定预测能力。 相似文献
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由于分布广泛、分辨率高、定年准确和气候敏感性好等原因,树木年轮在重建过去区域、半球甚至全球气候环境变化中扮演着重要角色。天山地处中亚干旱区,气候变化波动大,对全球变化响应敏感,植物生长的干旱胁迫作用强烈,天山山区分布有大量雪岭云杉和西伯利亚落叶松等长龄且对气候敏感的针叶树种,因此天山山区是树轮气候研究的理想区域。天山山区树轮气候研究始于20世纪70年代,尤其是近10 a有了长足的进步,有关天山山区树轮气候研究已经在国际上有一定影响。本文通过综述国内外对天山山区树轮气候研究的现状和进展,总结了近200 a基于树轮资料的天山山区较为一致的气候变化规律,并为进一步开展天山山区树轮气候研究提出建议。天山山区未来树木年轮气候学研究应在开展大量不同区域树木年轮气候学重建基础上,尝试理解树木径向生长对气候的响应机理研究,同时选用不同数理方法和多树木年轮指标进行长时间尺度和大空间范围重建工作,并讨论中亚干旱区过去千年气候变化的影响机制。 相似文献
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Heatwaves in Europe: areas of homogeneous variability and links with the regional to large-scale atmospheric and SSTs anomalies 总被引：1，自引：1，他引：0
This work presents a methodology to study the interannual variability associated with summertime months in which extremely
hot temperatures are frequent. Daily time series of maximum and minimum temperature fields (T
max and T
min, respectively) are used to define indexes of extreme months based on the number of days crossing thresholds. An empirical
orthogonal function (EOF) analysis is applied to the monthly indexes. EOF loadings give information about the geographical
areas where the number of days per month with extreme temperatures has the largest variability. Correlations between the EOF
principal components and the time series of other fields allow plotting maps highlighting the anomalies in the large scale
circulation and in the SSTs that are associated with the occurrence of extreme events. The methodology is used to construct
the “climatology” of the extremely hot summertime months over Europe. In terms of both interannual and intraseasonal variability,
there are three regions in which the frequency of the extremely hot days per month homogeneously varies: north-west Europe,
Euro-Mediterranean and Eurasia region. Although extremes over those regions occur during the whole summer (June to August),
the anomalous climatic conditions associated with frequent heatwaves present some intraseasonal variability. Extreme climate
events over the north-west Europe and Eurasia are typically related to the occurrence of blocking situations. The intraseasonal
variability of those patterns is related to the amplitude of the blocking, the relative location of the action centre and
the wavetrain of anomalies downstream or upstream of the blocking. During June and July, blocking situations which give extremely
hot climate conditions over north-west Europe are also associated with cold conditions over the eastern Mediterranean sector.
The Euro-Mediterranean region is a transition area in which extratropical and tropical systems compete, influencing the occurrence
of climate events: blockings tend to be related to extremely hot months during June while baroclinic anomalies dominate the
variability of the climate events in July and August. We highlight that our method could be easily applied to other regions
of the world, to other fields as well as to model outputs to assess, e.g. the potential change of extreme climate events in
a warmer climate. 相似文献
4.
The exploration of alternative socioeconomic futures is an important aspect of understanding the potential consequences of climate change. While socioeconomic scenarios are common and, at times essential, tools for the impacts, adaptation and vulnerability and integrated assessment modeling research communities, their approaches to scenario development have historically been quite distinct. However, increasing convergence of impacts, adaptation and vulnerability and integrated assessment modeling research in terms of scales of analysis suggests there may be value in the development of a common framework for socioeconomic scenarios. The Shared Socioeconomic Pathways represents an opportunity for the development of such a common framework. However, the scales at which these global storylines have been developed are largely incommensurate with the sub-national scales at which impacts, adaptation and vulnerability and, increasingly, integrated assessment modeling studies are conducted. The objective of this study was to develop sub-national and sectoral extensions of the global SSP storylines in order to identify future socioeconomic challenges for adaptation for the U.S. Southeast. A set of nested qualitative socioeconomic storyline elements, integrated storylines, and accompanying quantitative indicators were developed through an application of the Factor–Actor–Sector framework. In addition to revealing challenges and opportunities associated with the use of the SSPs as a basis for more refined scenario development, this study generated sub-national storyline elements and storylines that can subsequently be used to explore the implications of alternative sub-national socioeconomic futures for the assessment of climate change impacts and adaptation. 相似文献
5.
Radiative forcing has been widely used as a metric of climate change, i.e. as a measure by which various contributors to a net surface temperature change can be quantitatively compared. The extent to which this concept is valid for spatially inhomogeneous perturbations to the climate system is tested. A series of climate model simulations involving ozone changes of different spatial structure reveals that the climate sensitivity parameter is highly variable: for an ozone increase in the northern hemisphere lower stratosphere, it is more than twice as large as for a homogeneous CO2 perturbation. A global ozone perturbation in the upper troposphere, however, causes a significantly smaller surface temperature response than CO2. The variability of the climate sensitivity parameter is shown to be mostly due to the varying strength of the stratospheric water vapour feedback. The variability of the sea-ice albedo feedback modifies climate sensitivity of perturbations with the same vertical structure but a different horizontal structure. This feedback is also the origin of the comparatively larger climate sensitivity to perturbations restricted to the northern hemisphere extratropics. As cloud feedback does not operate independently from the other feedbacks, quantifying its effect is rather difficult. However, its effect on the variability of for horizontally and vertically inhomogeneous perturbations within one model framework seems to be comparatively small.This revised version was published online March 2005 with corrections to table 5. 相似文献
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基于卫星遥感的植被NDVI对气候变化响应的研究进展 总被引：10，自引：1，他引：9
回顾了以往植被对气候响应的有关研究,从此类研究常使用的数据、方法及获取的结论3个方面进行了分析,重点阐述了归一化植被指数（Normalized Difference Vegetation Index,NDVI）对降水、温度和辐射等气候因子的响应特征,并探讨了未来的发展趋势。结果表明,植被NDVI对降水的显著响应往往出现在干旱半干旱地区和干湿季气候差异明显地区,且具有一定的滞后特征,滞后的时间尺度与局地条件关系密切;温度成为植被NDVI 控制因子的情况常出现在温带或寒温带地区,与对降水的滞后响应相比,植被对于温度的滞后响应并不是特别明显;辐射对于植被的主导影响主要出现在低纬度的部分区域、高云量区域和高纬度地区的特定时间段内。认为量化人类在植被对气候变化响应过程中的作用,全球变暖情形下植被对气候响应特征的深入分析,以及植被受气候影响的多尺度特征可能是以后此类研究的发展方向。 相似文献
8.
In this study, empirical orthogonal function was applied to analyze rainfall variability in the Nile basin based on various spatio-temporal scales. The co-occurrence of rainfall variability and the variation in selected climate indices was analyzed based on various spatio-temporal scales. From the highest to the lowest, the cumulative amount of variance explained by the first two principal components (PCs) for any selected size of the spatial domain was obtained for the annual, seasonal, and monthly rainfall series respectively. The variability in the annual rainfall of 1° × 1° spatial coverage explained by only the first PC was about 55% on average. However, this percentage reduced to about 40% on average across the study area when the size of the spatial domain was increased from 1° × 1° to 10° × 10°. The variation in climate indices was shown to explain rainfall variability more suitably at a regional than location-specific spatial scale. The magnitudes and sometimes signs of the correlation between rainfall variability and the variation in climate indices tended to vary from one time scale to another. These findings are vital in the selection of spatial and temporal scales for more considered attribution of rainfall variability across the study area. 相似文献
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采用2004年Casati提出的强度-尺度检验技术,选取2008年汛期代表不同类型降水(对流云降水、层状云降水、混合云降水)的4个降水过程,从尺度分解角度入手,对"世界气象组织天气研究计划——北京奥运会预报示范项目"(WWRP B08FDP)项目中4个I临近预报参加系统(BJANC,GRAPES-SWIFT,STEPS,CARDS)的1h定量降水预报进行时空尺度分解检验,研究降水预报技巧与降水时空尺度和强度之间的关系。结果表明:尽管目前国际先进的临近预报系统的水平分辨率已高达1～2km,但其有技巧的临近预报能力主要集中于空间尺度大于32km、时间尺度大于1h的降水系统,而对小于这些尺度的降水系统预报能力仍非常有限;在不同时空尺度的临近预报降水误差中,60%以上的误差来自于空间尺度小于8km的降水,85%以上的误差来自于时间尺度小于1h的降水,传统的外推技术不能满足这些较小时空尺度降水预报的需求,要发展有效的预报方法来提高较小时空尺度降水的预报能力。将基于外推的临近预报和基于稠密观测资料、快速更新的数值预报的潜势预报相结合可能是一条有效的解决途径。 相似文献
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An improvement of analog model strategy for more reliable local climate change scenarios 总被引：2，自引：0，他引：2
Summary Downscaled results derived using a linear regression model are compared with corresponding analysis based on an analog model, and the effect of systematic biases in climate models is examined. Here, a correction of the biases in the climate model is achieved using a common principal component analysis basis and by adjusting the part of the principal components corresponding to the control period. The results suggests that the downscaled results have a distribution more similar to the observations if the systematic biases are corrected for. The analog model can utilise weighted as well as unweighted principal components as input, and the effect of this choice was ex-amined. The results suggest that the weighted principal components yield more realistic results than the unweighted ones.Analog models are by definition incapable of making extrapolations outside the range of observed values whereas a linear model is well-suited for extrapolation. A combined approach involves superimposing a linear trend from the regression-based model onto the results of the analog model. It is theoretically possible for the combined method to make projections with a realistic level of variance as well as higher values than in the calibration data sample. A comparison between the linear, analog, and the combined strategies suggest that the linear model not always give the strongest trend, but also that the combined method may shift the analog-derived distribution towards higher values. 相似文献
13.
关于气候变化对社会经济系统影响的机理和途径的探讨 总被引：2，自引：1，他引：1
本文基于考虑气候变化影响应与经济系统的特征时空尺度相匹配的观点,讨论了气候变化对经济系统影响的途径.认为:气候变化是年代际尺度的气温变化,直接影响的是冰冻圈、海平面、水资源、陆面状况、生态系统、微生物、人体健康等七个领域;觉察不到日变化、季节变化、年际变化而呈现出年代际变化的事物才是受全球变暖影响的事物;由于时间尺度不匹配,经济系统几乎不会受气候变化的直接影响;就间接影响而言,全球变暖导致的极端气候事件加剧和人类为应对与适应气候变化的积极响应,对经济系统的影响要显著得多. 相似文献
14.
Adaptation to climate change is about planning for the future while responding to current pressures and challenges. Adaptation scientists are increasingly using future visioning exercises embedded in co-production and co-development techniques to assist stakeholders in imagining futures in a changing climate. Even if these exercises are growing in popularity, surprisingly little scrutiny has been placed on understanding the fundamental assumptions and choices in scenario approaches, timeframes, scales, or methods, and whether they result in meaningful changes in how adaptation is being thought about. Here, we unpack key insights and experiences across 62 case studies that specifically report on using future visioning exercises to engage stakeholders in climate change adaptation. We focus on three key areas: 1) Stakeholder diversity and scales; 2) Tools, methods, and data, and 3) Practical constraints, enablers, and outcomes. Our results show that most studies focus on the regional scale (n = 32; 52%), involve mainly formal decision makers and employ vast array of different methods, tools, and data. Interestingly, most exercises adopt either predictive (what will happen) and explorative (what could happen) scenarios while only a fraction use the more normative (what should happen) scenarios that could enable more transformative thinking. Reported positive outcomes include demonstrated increases in climate change literacy and support for climate change adaptation planning. Unintended and unexpected outcomes include increased anxiety in cases where introduced timeframes go beyond an individual’s expected life span and decreased perceived necessity for undertaking adaptation at all. Key agreed factors that underpin co-production and equal representation, such as gender, age, and diversity, are not well reported, and most case studies do not use reflective processes to harness participant feedback that could enable more robust methodology development. This is a missed opportunity in developing a more fundamental understanding of how these exercises can effectively shift individual and collective mindsets and advance the inclusion of different viewpoints as a pathway for more equitable and just climate adaptation. 相似文献
15.
频发的极端高温事件将导致城市用水量增长,增加城市供水设施的运行风险。综合采用气候相似性、终端用水模拟、供水管网系统水力学模拟等方法,构建了极端高温事件对城市用水量及供水管网系统影响的定量评估方法。以北京某新城区为研究案例,模拟结果表明极端高温事件将使日用水量较夏季常态增加5.7%,人均日用水量增加19.83 L,其中早晚用水高峰时段增幅较大,导致供水管网系统中不能满足28 m水头要求的节点比例增加了约13个百分点。 相似文献
16.
Assessment of a stochastic downscaling methodology in generating an ensemble of hourly future climate time series 总被引：2，自引：0，他引：2
This study extends a stochastic downscaling methodology to generation of an ensemble of hourly time series of meteorological variables that express possible future climate conditions at a point-scale. The stochastic downscaling uses general circulation model (GCM) realizations and an hourly weather generator, the Advanced WEather GENerator (AWE-GEN). Marginal distributions of factors of change are computed for several climate statistics using a Bayesian methodology that can weight GCM realizations based on the model relative performance with respect to a historical climate and a degree of disagreement in projecting future conditions. A Monte Carlo technique is used to sample the factors of change from their respective marginal distributions. As a comparison with traditional approaches, factors of change are also estimated by averaging GCM realizations. With either approach, the derived factors of change are applied to the climate statistics inferred from historical observations to re-evaluate parameters of the weather generator. The re-parameterized generator yields hourly time series of meteorological variables that can be considered to be representative of future climate conditions. In this study, the time series are generated in an ensemble mode to fully reflect the uncertainty of GCM projections, climate stochasticity, as well as uncertainties of the downscaling procedure. Applications of the methodology in reproducing future climate conditions for the periods of 2000–2009, 2046–2065 and 2081–2100, using the period of 1962–1992 as the historical baseline are discussed for the location of Firenze (Italy). The inferences of the methodology for the period of 2000–2009 are tested against observations to assess reliability of the stochastic downscaling procedure in reproducing statistics of meteorological variables at different time scales. 相似文献
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区域气候模拟研究及其应用进展 总被引：10，自引：3，他引：7
区域气候模拟研究在过去十几年里取得了显著的进步。经过广泛的发展和不断的检验,区域气候模式现在已经成为气候研究和业务预报的重要工具。目前已经发表了很多令人鼓舞的结果,其中包括过去极端气候事件的模拟,当前气候发展演变和未来气候变化的预测,特别是对月和季节尺度气候的模拟与预测。通过对高分辨率和动力连续的区域气候模式结果的分析,人们对于周-季节时间尺度的各种物理过程,包括陆面和水文过程、边界层、云和降水、云-辐射相互作用的认识也在不断的深入。然而,区域气候是多尺度扰动(如中尺度、天气尺度、行星尺度扰动)和多圈层系统(如大气圈、生物圈、水圈、冰雪圈、陆面)相互作用的结果,同时物理过程本身具有不确定性,人们对一些复杂的物理过程,特别是土壤湿度作用以及云-气候反馈过程也缺乏深刻的理解,因此该领域的研究还面临着很多挑战。作者重点总结并评述了区域气候模式对现在和未来区域气候模拟、极端天气和气候事件模拟、物理过程研究、短期气候预测几方面应用的研究进展,最后讨论了区域气候模式发展在上述各方面,特别是周-次季节时间尺度区域天气和气候的模拟与预测所面临的挑战和应用前景。 相似文献
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年代际气候预测计划（DCPP）是第六次国际耦合模式比较计划（CMIP6）的子计划之一,其目标是利用多模式开展气候系统年代际预测、可预测性和变率机制研究。DCPP设计了3组试验,即年代际回报试验、预报试验以及理解年代际变率机制和可预测性的敏感性试验。目前有21个模式拟参与DCPP计划,其中包括5个来自中国的模式。DCPP将推动解决气候系统从年际到年代际尺度预测相关的多项科学问题,评估当前气候预测系统预报技巧,挖掘潜在可预报性,研究长时间尺度气候变率形成机制,提供对科学和社会有用的预测产品。 相似文献
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Vulnerability of water supply from the Oregon Cascades to changing climate: Linking science to users and policy 总被引：1，自引：0，他引：1
Despite improvements in understanding biophysical response to climate change, a better understanding of how such changes will affect societies is still needed. We evaluated effects of climate change on the coupled human-environmental system of the McKenzie River watershed in the Oregon Cascades in order to assess its vulnerability. Published empirical and modeling results indicate that climate change will alter both the timing and quantity of streamflow, but understanding how these changes will impact different water users is essential to facilitate adaptation to changing conditions. In order to better understand the vulnerability of four water use sectors to changing streamflow, we conducted a series of semi-structured interviews with representatives of each sector, in which we presented projected changes in streamflow and asked respondents to assess how changing water availability would impact their activities. In the McKenzie River watershed, there are distinct spatial and temporal patterns associated with sensitivity of water resources to climate change. This research illustrates that the implications of changing streamflow vary substantially among different water users, with vulnerabilities being determined in part by the spatial scale and timing of water use and the flexibility of those uses in time and space. Furthermore, institutions within some sectors were found to be better positioned to effectively respond to changes in water resources associated with climate change, while others have substantial barriers to the flexibility needed to manage for new conditions. A clearer understanding of these opportunities and constraints across water use sectors can provide a basis for improving response capacity and potentially reducing vulnerability to changing water resources in the region. 相似文献