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中国柯本气候分类 总被引：2，自引：0，他引：2
利用中国734个气象站点1957-2016年的气温和降水量数据,结合柯本气候分类,采用薄板样条插值法,研究中国柯本气候分类的时空分布及变化特征。结果表明：1957-2016年中国包括5个气候带,其中赤道气候带（0.17%）包括热带季风和热带疏林草原气候,干旱气候带（41.38%）包括冷性沙漠和冷性草原气候,暖温气候带（25.53%）包括热夏冬干暖温、温夏冬干暖温、热夏常湿暖温以及温夏常湿暖温气候类型,冷温气候带（28.44%）包括热夏冬干冷温、温夏冬干冷温、冷夏冬干冷温、热夏常湿冷温、温夏常湿冷温以及冷夏常湿冷温气候类型,极地气候带（4.48%）仅有苔原气候。在此60 a,气候变化主要体现在冷温气候带向干燥气候带和暖温气候带的转移,以及冷温气候带中冷夏向温夏的转移和温夏向热夏的转移。 相似文献
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从气候监测诊断、气候预测、气候系统模式、气候评价与灾害风险管理、气候变化业务和气候业务平台等角度,系统概述了我国现代气候业务现状。提出了以气候监测和动力学诊断为基础,以提升气候服务、气候风险管理和应对气候变化能力为目标,以发展客观化气候预测技术和定量化气候评估方法为核心的现代气候业务概念。分析了国际气候业务发展趋势及我国气候业务的差距,明确了加强气候系统基本变量监测、提高气候系统模式分辨率和改进物理过程、发展第2代短期气候预测系统、研发气象灾害风险评估方法并建立中国气候服务系统 (CFCS) 等发展任务。 相似文献
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利用2000—2017年百色市气象资料和城市社会经济发展数据,构建以气候天然容量、极端气候事件压力、城市气候压力和城市协调发展能力四个评价指数组成的城市气候承载力综合函数,客观定量评价广西西部山地城市百色2000—2017年的气候承载力变化。结果表明：21世纪以来,百色市的气候承载力整体呈现一种波动上升的状态,反映百色的城市建设与气候之间的协调力增强,城市建设发展仍有较大的气候承载空间。百色城市气候承载力对极端天气气候事件,特别是干旱事件较为敏感;人为影响因子对气候承载力具有重要影响。提升气候承载力和应对气候变化能力应从提高防御自然灾害能力和城市协调发展能力、降低城市气候压力着手,建立可持续发展的城市气候生态系统。 相似文献
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The majority of climate change impacts assessments account for climate change uncertainty by adopting the scenario-based approach.
This typically involves assessing the impacts for a small number of emissions scenarios but neglecting the role of climate
model physics uncertainty. Perturbed physics ensemble (PPE) climate simulations offer a unique opportunity to explore this
uncertainty. Furthermore, PPEs mean it is now possible to make risk-based impacts estimates because they allow for a range
of estimates to be presented to decision-makers, which spans the range of climate model physics uncertainty inherent from
a given climate model and emissions scenario, due to uncertainty associated with the understanding of physical processes in
the climate model. This is generally not possible with the scenario-based approach. Here, we present the first application
of a PPE to estimate the impact of climate change on heat-related mortality. By using the estimated impacts of climate change
on heat-related mortality in six cities, we demonstrate the benefits of quantifying climate model physics uncertainty in climate
change impacts assessment over the more common scenario-based approach. We also show that the impacts are more sensitive to
climate model physics uncertainty than they are to emissions scenario uncertainty, and least sensitive to whether the climate
change projections are from a global climate model or a regional climate model. The results demonstrate the importance of
presenting model uncertainties in climate change impacts assessments if the impacts are to be placed within a climate risk
management framework. 相似文献
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Dietmar Dommenget 《Climate Dynamics》2016,46(1-2):427-447
In this study the relationship between climate model biases in the control climate and the simulated climate sensitivity are discussed on the basis of perturbed physics ensemble simulations with a globally resolved energy balance (GREB) model. It is illustrated that the uncertainties in the simulated climate sensitivity (estimated by the transient response to CO2 forcing scenarios in the twenty first century or idealized 2 × CO2 forcing experiments) can be conceptually split into two parts: a direct effect of the perturbed physics on the climate sensitivity independent of the control mean climate and an indirect effect of the perturbed physics by changing the control mean climate, which in turn changes the climate sensitivity, as the climate sensitivity itself is depending on the control climate. Biases in the control climate are negatively correlated with the climate sensitivity (colder climates have larger sensitivities), if no physics are perturbed. Perturbed physics that lead to warmer control climate, would in average also lead to larger climate sensitivities, if the control climate is held at the observed reference climate by flux corrections. Thus the effects of control biases and perturbed physics are opposing each other and are partially cancelling each other out. In the GREB model the biases in the control climate are the more important effect for the regional climate sensitivity uncertainties, but for the global mean climate sensitivity both, the biases in the control climate and the perturbed physics, are equally important. 相似文献
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CMIP5气候模式对中国未来气候变化的预估和应用 总被引：2，自引：0，他引：2
气候模式是研究气候系统和气候变化的有力工具,其模拟结果是进行气候预测和气候变化风险评估的重要数据基础。随着全球气候变暖速度加快,地表生态环境、水文动态循环过程、社会经济发展等都受到其影响,进而影响到人类的生产和生活。利用气候模式对未来气候变化特征进行评估和预测,可为人类调整发展策略以适应气候变化提供科学依据。通过汇总CMIP5(Coupled Model Intercomparison Project Phase 5)模式在气候变化方面的相关研究,综述了CMIP5气候模式在农业生产、水文动态监控以及其他领域中的应用,最后指出了CMIP5气候模式在模拟预估未来气候变化上存在的不足,并展望了CMIP5气候模式在未来的应用。 相似文献
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对青少年开展气候变化教育是应对气候变化挑战的重要举措之一。了解哪些因素会影响青少年的气候变化减缓意愿及行为则是开展有效气候变化教育的前提。文中基于影响青少年气候变化行为因素的理论框架,针对厦门、深圳、宁波9所中学1539名学生,开展问卷调查。结果表明,我国沿海地区12~14岁青少年整体上对气候变化关注程度和气候变化减缓行动表现一般,且其气候变化科学知识水平相对较低;回归分析显示影响他们减缓行为意愿的主要因素是过去参与过的气候变化减缓行为、自我效能和气候变化卷入度,而影响他们减缓行为的主要因素为气候变化卷入度和自我效能;气候变化主观认知较高和高责任心型人格的青少年表现出较高的减缓行为。最后提出建议：我国青少年气候变化教育应该重点关注提高青少年气候变化卷入度、增加气候科学认知水平和增进自我效能,以期提高青少年的气候变化减缓行为意愿和减缓行为。 相似文献
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Although climate policy diffusion is widely studied, we know comparatively little about how these global policies and the norms that surround them are used by various political actors seeking to advance their own agendas. In this article, we focus on how global climate norms are diffused differently at national and local scales and used to repoliticize or depoliticize climate change. We focus on the case of Turkey, which carries the stark contrast of showing willingness to achieve global climate goals in the international arena but less so in domestic politics and actions. The article employs a novel methodological approach, using topic modeling and network analyses on a range of climate change–related policy documents, and interviews with high-level officers, conducted at the three jurisdictional levels in Turkey. The findings reveal that although global climate policy is diffused to both national and local governments, it is used in different ways at these levels. The national government uses climate policy diffusion to depoliticize climate change by creating ad hoc climate coalitions and limiting local climate actions to seeking external climate-related funds. Meanwhile, the metropolitan municipalities replicate nationally adopted climate goals, whereas the district municipalities domesticate ambitious climate norms and repoliticize climate change via local climate entrepreneurs and civic action. The paper contributes to understanding how climate policy diffusion and norm domestication can have different political outcomes in achieving global climate goals and argues for increased policy attention to the strategic use of climate policy diffusion for the depoliticization of climate change. 相似文献
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Cluster analysis of Southeastern U.S. climate stations 总被引：1，自引：0，他引：1
Summary A two-step cluster analysis of 449 Southeastern climate stations is used to objectively determine general climate clusters (groups of climate stations) for eight southeastern states. The purpose is objectively to define regions of climatic homogeneity that should perform more robustly in subsequent climatic impact models. This type of analysis has been successfully used in many related climate research problems including the determination of corn/climate districts in Iowa (Ortiz-Valdez, 1985) and the classification of synoptic climate types (Davis, 1988).These general climate clusters may be more appropriate for climate research than the standard climate divisions (CD) groupings of climate stations, which are modifications of the agro-economic United States Department of Agriculture crop reporting districts. Unlike the CD's, these objectively determined climate clusters are not restricted by state borders and thus have reduced multicollinearity which makes them more appropriate for the study of the impact of climate and climatic change.With 5 Figures 相似文献
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全球变暖背景下的气候服务 总被引：2，自引：0，他引：2
气候与人的关系密不可分.气候学本身就是人类认识自然、利用气候的科学.最近五十多年,地球气候明显地受到了人类活动的影响,而变化的气候又通过各种途径影响人类的生产和生活.21世纪人类必须高度重视并积极应对气候变化及与其相伴随的各种极端天气气候事件.通过进一步加强气候监测,加强气候科学研究和模式研发,迅速提升气候预测能力,并通过加强建立与用户之间的伙伴关系,建立气候服务系统,从而不断提高服务水平,以适应日趋严峻的气候变化. 相似文献
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中国气候预测研究与业务发展的回顾 总被引：2，自引：0，他引：2
天气预报是指一周内至两周时间尺度的气象预报,而月季及以上时间尺度的预报则属于气候预测范畴。中国的气候预测起步很早,无论在研究工作中还是在业务应用上都取得了显著成就。文中扼要回顾了这些研究和业务发展成就,重点包括:对于季风和梅雨、寒潮的早期认知和后期研究发现、早期气候预测业务发展概况、动力气候预测的早期探索、动力-统计气候预测方法的研制和应用、气候预测模式的发展以及初始化和多模式集合预测、东亚气候系统变异的全方位探索、气候预测范畴的不断拓展和气候预测研究的不断创新。也对未来气候预测研究和业务发展提出了几个重大挑战性课题,涉及不同时间尺度气候变异过程之间的相互作用、季节内至年代际气候预测、气候系统模式及初始化、动力-统计相结合的气候预测方法等方面。 相似文献
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We explore the potential to improve understanding of the climate system by directly targeting climate model analyses at specific indicators of climate change impact. Using the temperature suitability of premium winegrape cultivation as a climate impacts indicator, we quantify the inter- and intra-ensemble spread in three climate model ensembles: a physically uniform multi-member ensemble consisting of the RegCM3 high-resolution climate model nested within the NCAR CCSM3 global climate model; the multi-model NARCCAP ensemble consisting of single realizations of multiple high-resolution climate models nested within multiple global climate models; and the multi-model CMIP3 ensemble consisting of realizations of multiple global climate models. We find that the temperature suitability for premium winegrape cultivation is substantially reduced throughout the high-value growing areas of California and the Columbia Valley region (eastern Oregon and Washington) in all three ensembles in response to changes in temperature projected for the mid-twenty first century period. The reductions in temperature suitability are driven primarily by projected increases in mean growing season temperature and occurrence of growing season severe hot days. The intra-ensemble spread in the simulated climate change impact is smaller in the single-model ensemble than in the multi-model ensembles, suggesting that the uncertainty arising from internal climate system variability is smaller than the uncertainty arising from climate model formulation. In addition, the intra-ensemble spread is similar in the NARCCAP nested climate model ensemble and the CMIP3 global climate model ensemble, suggesting that the uncertainty arising from the model formulation of fine-scale climate processes is not smaller than the uncertainty arising from the formulation of large-scale climate processes. Correction of climate model biases substantially reduces both the inter- and intra-ensemble spread in projected climate change impact, particularly for the multi-model ensembles, suggesting that—at least for some systems—the projected impacts of climate change could be more robust than the projected climate change. Extension of this impacts-based analysis to a larger suite of impacts indicators will deepen our understanding of future climate change uncertainty by focusing on the climate phenomena that most directly influence natural and human systems. 相似文献
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This paper considers how farmers perceive and respond to climate change policy risks, and suggests that understanding these risk responses is as important as understanding responses to biophysical climate change impacts. Based on a survey of 162 farmers in California, we test three hypotheses regarding climate policy risk: (1) that perceived climate change risks will have a direct impact on farmer's responses to climate policy risks, (2) that previous climate change experiences will influence farmer's climate change perceptions and climate policy risk responses, and (3) that past experiences with environmental policies will more strongly affect a farmer's climate change beliefs, risks, and climate policy risk responses. Using a structural equation model we find support for all three hypotheses and furthermore show that farmers’ negative past policy experiences do not make them less likely to respond to climate policy risks through participation in a government incentive program. We discuss how future research and climate policies can be structured to garner greater agricultural participation. This work highlights that understanding climate policy risk responses and other social, economic and policy perspectives is a vital component of understanding climate change beliefs, risks and behaviors and should be more thoroughly considered in future work. 相似文献
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多要素气候态相似季节划分法作为一种新的季节划分客观化方法,在近几年被广泛应用于气候变化研究、气候监测和短期气候预测等。该方法的关键之处在于多要素的融合和典型场的选取,其中典型场是指多要素气候态相似法中所选取的能代表冬季和夏季平均气候特征的气候态距平场。文中采用3种不同方案选取典型场：方法一,基于60年平均气候态选取典型场;方法二,基于30年平均气候态选取典型场;方法三,基于逐年气候态状况选取典型场。研究不同典型场的选取对多要素气候态相似季节划分法划分结果的可能影响,进而以1998年和2013年华中地区的季节划分为例,对第3种典型场划分方法的准确性进行论证。结果显示,典型场作为多要素气候态相似季节划分法的划分基准,对季节划分的结果至关重要,基于单年气候状况选取的典型场与基于多年平均气候态选取的典型场之间的差异存在年代际变化,且在气候变化的转折阶段差异尤为显著。基于第3种典型场选取方案的1998年和2013年季节划分结果能准确地反映当年华中地区气候态和大气环流的季节变化情况。 相似文献
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地球系统中的大气圈、水圈、冰雪圈、岩石圈和生物圈构成了气候系统, 气候系统中不同圈层之间的相互作用决定了气候的自然变化。由于人类活动的日益加剧, 对气候系统已经产生了显著影响。气候的自然变化和人类活动导致的气候变化对社会经济的发展以及人民生活的影响日益加大, 并涉及到国家安全、环境外交和可持续发展等一系列重大问题。要认识气候变化及其强迫因素、预测未来气候变化, 最基础的工作是建立针对气候目的涉及到气候系统五大圈层的综合气候观测系统, 以获取所需的高质量资料和相关产品, 提供气候系统变化的详细信息。该文回顾了气候观测系统设计在中国的发展以及中国气象科学研究院在组织设计中国气候观测系统中的作用, 并指出了在建立我国气候观测系统中存在的一些需要改进的方面。在对气候观测系统进行分析的基础上, 指出了与建立气候观测系统相关的10个方面的关键问题, 这些问题包括:气候观测系统的科学需求、气候观测系统的代表性、全面性、规范性、对气候预测和预估及模式发展的支撑性、多学科应用性、社会经济性、资料开放共享性以及气候系统资料的同化再分析和历史资料的抢救。 相似文献
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ADVANCES IN REGIONAL CLIMATE MODELING SINCE 1990 总被引：1，自引：2，他引：1
Due to the close relationship between regional climate anomalies and social-economy andsociety development,climatologists worldwide paid great attention to the regional climateanomalies over a long period of time and the corresponding investigation of regional climatemodeling has made great progresses.Since 1990 the regional climate simulations have made a moresubstantial achievement.This paper will focus on the reliability and uncertainties of regionalclimate modeling by global climate models,the advances on regional climate modeling in the worldand the outlook of regional climate modeling. 相似文献
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Big data has emerged as the next technological revolution in IT industry after cloud computing and the Internet of Things. With the development of climate observing systems, particularly satellite meteorological observation and high-resolution climate models, and the rapid growth in the volume of climate data, climate prediction is now entering the era of big data. The application of big data will provide new ideas and methods for the continuous development of climate prediction. The rapid integration, cloud storage, cloud computing, and full-sample analysis of massive climate data makes it possible to understand climate states and their evolution more objectively, thus predicting the future climate more accurately. This paper describes the application status of big data in operational climate prediction in China; it analyzes the key big data technologies, discusses the future development of climate prediction operations from the perspective of big data, speculates on the prospects for applying climatic big data in cloud computing and data assimilation, and puts forward the notion of big data-based super-ensemble climate prediction methods and computerbased deep learning climate prediction methods. 相似文献
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Big data has emerged as the next technological revolution in IT industry after cloud computing and the Internet of Things.With the development of climate observing systems,particularly satellite meteorological observation and high-resolution climate models,and the rapid growth in the volume of climate data,climate prediction is now entering the era of big data.The application of big data will provide new ideas and methods for the continuous development of climate prediction.The rapid integration,cloud storage,cloud computing,and full-sample analysis of massive climate data makes it possible to understand climate states and their evolution more objectively,thus predicting the future climate more accurately.This paper describes the application status of big data in operational climate prediction in China;it analyzes the key big data technologies,discusses the future development of climate prediction operations from the perspective of big data,speculates on the prospects for applying climatic big data in cloud computing and data assimilation,and puts forward the notion of big data-based super-ensemble climate prediction methods and computerbased deep learning climate prediction methods. 相似文献