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1.
C. Casty D. Handorf C. C. Raible J. F. González-Rouco A. Weisheimer E. Xoplaki J. Luterbacher K. Dethloff H. Wanner 《Climate Dynamics》2005,24(7-8):809-822
Recurrent climate winter regimes are examined from statistically reconstructed and modelled 500 hPa geopotential height fields
over the North Atlantic/European sector for the period 1659–1990. We investigate the probability density function of the state
space spanned by the first two empirical orthogonal functions of combined winter data. Regimes are detected as patterns that
correspond to areas of the state space with an unexpected high recurrence probability using a Monte Carlo approach. The reconstruction
and the model reveal four recurrent climate regimes. They correspond to the two phases of the North Atlantic Oscillation and
two opposite blocking patterns. Complemented by the investigation of the temporal evolution of the climate regimes this leads
to the conclusion that the reconstructed and the modelled data for this geographic sector reproduce low-frequency atmospheric
variability in the form of regime-like behaviour. The overall evidence for recurrent climate regimes is higher for the model
than for the reconstruction. However, comparisons with independent data sources for the period 1659–1990 revealed a more realistic
temporal evolution of the regimes for the reconstructed data.
Electronic Supplementary Material Supplementary material is available for this article at 相似文献
2.
Imagery plays a central role in climate change communication. But whereas research on the verbal communication of climate change has proliferated, far fewer studies have focused on visual communication. Correspondingly, relatively little is known about how to effectively engage the public using the visual medium. The current research is the first mixed methods, cross-national investigation of public perceptions of climate images, with a focus on photographic climate change imagery. Four structured discussion groups in the UK and Germany (N = 32) and an international survey with an embedded experiment in the UK, Germany and the US (N = 3014) were conducted to examine how different types of climate change imagery were evaluated. The qualitative research pointed to the importance of the perceived authenticity and credibility of the human subjects in climate images, as well as widespread negativity towards images depicting protests and demonstrations. Images of climate ‘solutions’ produced positive emotional responses in the survey and were less polarizing for climate change skeptics, but they were also the least motivating of action. Familiar climate images (such as a polar bear on melting ice) were easily understood in the survey (and evaluated positively as a consequence) but viewed with cynicism in discussion groups. We present a detailed discussion of these and other key findings in this paper and describe a novel application of the data through an online image library for practitioners which accompanies the research (www.climatevisuals.org). 相似文献
3.
The increased frequency of wildfires in the United States has become a common prediction associated with the build-up of greenhouse gases. In this investigation, variations in annual wildfire data in Yellowstone National Park are compared to variations in historical climate conditions for the area. Univariate and multivariate analytical techniques reveal that (a) summer temperatures in the Park are increasing, (b) January-June precipitation levels are decreasing, and (c) variations in burn area within the Park are significantly related to the observed variations in climate. Outputs from four different general circulation model simulations for 2 × CO2 are included in the analyses; model predictions for increasing aridity in the Yellowstone Park area are generally in agreement with observed trends in the historical climate records. 相似文献
4.
CLIMATE CHANGE: LONG-TERM TRENDS AND SHORT-TERM
OSCILLATIONS 总被引：2，自引：0，他引：2
Identifying the Northern Hemisphere (NH) temperature reconstruction and instrumental data for
the past 1000 years shows that climate change in the last millennium includes long-term trends and various
oscillations. Two long-term trends and the quasi-70-year oscillation were detected in the global temperature
series for the last 140 years and the NH millennium series. One important feature was emphasized that
temperature decreases slowly but it increases rapidly based on the analysis of different series. Benefits can be
obtained of climate change from understanding various long-term trends and oscillations. Millennial temperature
proxies from the natural climate system and time series of nonlinear model system are used in understanding the
natural climate change and recognizing potential benefits by using the method of wavelet transform analysis. The
results from numerical modeling show that major oscillations contained in numerical solutions on the
interdecadal timescale are consistent with that of natural proxies. It seems that these oscillations in the climate
change are not directly linked with the solar radiation as an external forcing. This investigation may conclude
that the climate variability at the interdecadal timescale strongly depends on the internal nonlinear effects in the climate system. 相似文献
5.
Alexander Loew 《Theoretical and Applied Climatology》2014,115(3-4):427-440
Satellite-based observations provide a unique data record to study the Earth system. Recent efforts of the space agencies to reprocess the archives of satellite observations aim to provide Essential Climate Variable (ECV) data records for manifold applications in climate sciences. Varying lengths of a data record or gaps in a data time series are likely to affect the analysis results obtained from long-term satellite data records. The present paper provides a systematic assessment of the impact of variations in the observational record of terrestrial ECVs for selected climate applications like trend detection and the analysis of relationships between different ECVs. As an example, the Sahelian drought and the subsequent recovery in precipitation and vegetation will be analyzed in detail using observations of precipitation, surface albedo, vegetation index, as well as ocean indices. The paper provides a different perspective on the robustness of long-term satellite observations than previous studies. It shows in particular that the long-term significant trends in precipitation and vegetation dynamics are rather sensitive to the investigation period chosen and that small data gaps can already have a considerable influence on the analysis results. It is therefore a plea for continuous climate observations from space. 相似文献
6.
Jean-Philippe Boulanger G. Brasseur Andrea Fabiana Carril Manuel de Castro Nicolas Degallier Carlos Ereño H. Le Treut Jose Antonio Marengo Claudio Guillermo Menendez Mario Nestor Nuñez Olga C. Penalba Alfredo Luis Rolla Matilde Rusticucci Rafael Terra 《Climatic change》2010,98(3-4):307-329
The goal of the CLARIS project was to build an integrated European–South American network dedicated to promote common research strategies to observe and predict climate changes and their consequent socio-economic impacts taking into account the climate and societal peculiarities of South America. Reaching that goal placed the present network as a privileged advisor to contribute to the design of adaptation strategies in a region strongly affected by and dependent on climate variability (e.g. agriculture, health, hydro-electricity). Building the CLARIS network required fulfilling the following three objectives: (1) The first objective of CLARIS was to set up and favour the technical transfer and expertise in earth system and regional climate modelling between Europe and South America together with the providing of a list of climate data (observed and simulated) required for model validations; (2) The second objective of CLARIS was to facilitate the exchange of observed and simulated climate data between the climate research groups and to create a South American high-quality climate database for studies in extreme events and long-term climate trends; (3) Finally, the third objective of CLARIS was to strengthen the communication between climate researchers and stakeholders, and to demonstrate the feasibility of using climate information in the decision-making process. 相似文献
7.
Roger R. Torres David M. Lapola Jose A. Marengo Magda A. Lombardo 《Climatic change》2012,115(3-4):597-609
Brazil suffers yearly from extreme weather and climate events, which can be exacerbated in a warmer climate. Although several studies have analyzed the projections of climate change in Brazil, little attention has been paid to defining the locations that can be most affected, and consequently have a more vulnerable population, in a spatially-explicit form. This study presents a spatial analysis of summarized climate change data and a joint investigation combining these possible climate changes and social vulnerability indicators in Brazil. The Regional Climate Change Index (RCCI), which can synthesize a large number of climate model projections, is used for the climate analysis, and the Socio-Climatic Vulnerability Index (SCVI) is proposed to aggregate local population vulnerabilities to the climate change information. The RCCI results show climatic hotspots emerging in Brazil, covering the western portion of the Northeast (NE), northwestern Minas Gerais state and center-western (CW) and northern regions (N), except northeast Pará and Amapá states. The SCVI analysis reveals major socio-climatic hotspots in the NE and several localized hotspots in some of the major Brazilian metropolitan regions, namely Manaus, Belo Horizonte, Brasília, Salvador, Rio de Janeiro and S?o Paulo. The two novelties of this study are a spatially detailed analysis of the RCCI in Brazil and the development of an index that can summarize the large amount of climate model information available today with social vulnerability indicators. Both indices may be important tools for improving the dialogue between climate and social scientists and for communicating climate change to policymakers in a more synthetic and socially relevant form. 相似文献
8.
本文以那曲地区和拉萨市区(文中称藏北高原)作为研究对象,对该区域的植被进行分类。通过地面调查数据、遥感数据、中国植被图集扫描图中经几何校正的西藏藏北高原作为实际参考数据,利用R2V软件和Arc info软件的结合,得出西藏藏北高原植被的数字化图。同时通过中国植被图集中西藏藏北高原的数据和MOD IS卫星6、2、1通道合成数据的特点,利用最大似然估计监督类方法对2004年9月13和27日的EOS/MOD IS卫星遥感图像的西藏藏北高原部分植被进行分类。得出西藏藏北高原7个典型植被类型及其面积,可以反映出该区域植被的特征。这对可持续发展该区域的草地资源提供了决策依据。 相似文献
9.
基于多源陆面通量数据相融合的新资料及其在中国夏季风影响过渡区的应用 总被引：1，自引：0，他引：1
夏季风影响过渡区是陆面能量交换与区域气候相互作用显著的热点区域。然而,目前缺乏适用于该区域的高精度长期通量数据集,这限制了陆面水热交换与气候相互作用的研究。如何融合目前已有的多源通量资料进行重构建以及应用显得十分必要。本研究综合包括中国北方协同观测试验和中国通量网的多种下垫面通量观测以及多种格点资料,试图重构中国夏季风影响过渡区的陆面能量通量数据集。在筛选具有优良下垫面代表性站点并考察模拟和观测散点分布规律的基础上,利用多元回归模型构建了一套适用于夏季风影响过渡区并且受观测资料约束的月平均感热、潜热和净辐射数据集。交叉验证结果表明构建的数据集相对于几种原始格点数据集精度有一定提高,最大程度上消除了原始格点资料的系统偏差。进一步分析表明在地表能量平衡分量中,陆面湍流通量对夏季风的响应更为显著,并且夏季风影响过渡区陆面湍流热通量对夏季风持续时间呈现对数分布的年际变化规律;当夏季风处于低持续影响状态时陆面湍流热通量年际变化更为显著,偏弱的夏季风系统可能导致陆面过程对气候变化更强的影响。本文基于多源通量数据融合构建的新数据集可以为气候变化研究提供数据支撑,同时增加了对陆面过程与季风系统相互作用的认识。 相似文献
10.
American Indians have unique vulnerabilities to the impacts of climate change because of the links among ecosystems, cultural practices, and public health, but also as a result of limited resources available to address infrastructure needs. On the Crow Reservation in south-central Montana, a Northern Plains American Indian Reservation, there are community concerns about the consequences of climate change impacts for community health and local ecosystems. Observations made by Tribal Elders about decreasing annual snowfall and milder winter temperatures over the 20th century initiated an investigation of local climate and hydrologic data by the Tribal College. The resulting analysis of meteorological data confirmed the decline in annual snowfall and an increase in frost free days. In addition, the data show a shift in precipitation from winter to early spring. The number of days exceeding 90 ?F (32 ?C) has doubled in the past century. Streamflow data show a long-term trend of declining discharge. Elders noted that the changes are affecting fish distribution within local streams and plant species which provide subsistence foods. Concerns about warmer summer temperatures also include heat exposure during outdoor ceremonies that involve days of fasting without food or water. Additional community concerns about the effects of climate change include increasing flood frequency and fire severity, as well as declining water quality. The authors call for local research to understand and document current effects and project future impacts as a basis for planning adaptive strategies. 相似文献
11.
以青藏高原东北缘山地地区不同海拔高度地理单元村落的农户为调查对象,进行气候变化、气象灾害的感知及适应策略等调查,采用感知强度公式及专家打分法分析农户气候变化感知以及所采用的适应策略,结果显示：1961—2013年湟水中游气候变化整体趋于暖干化,有84%的农户认为气候变暖,并对其生活造成了严重的影响;在不同海拔高度上的地理单元,农户对气象灾害的感知有明显差异,川水地区农户对沙尘的感知最强,浅山地区农户对虫害的感知最强,而脑山地区农户对连阴雨的感知最强;不同海拔高度的农户对适应策略的选择不同,川水地区农户主要采取“生产性+生活性+保障性”组合适应策略;浅山地区农户主要采取“生产性+生活性”组合适应策略;而脑山地区的农户则主要采取单一的“生产性”适应策略来应对气候变化所带来的影响。 相似文献
12.
Daniel S. Wilks 《Climatic change》1992,22(1):67-84
While large-scale climate models (GCMs) are in principle the most appropriate tools for predicting climate changes, at present little confidence can be placed in the details of their projections. Use of tools such as crop simulation models for investigation of potential impacts of climatic change requires daily data pertaining to small spatial scales, not the monthly-averaged and large-scale information typically available from the GCMs. A method is presented to adapt stochastic weather generation models, describing daily weather variations in the present-day climate at particular locations, to generate synthetic daily time series consistent with assumed future climates. These assumed climates are specified in terms of the commonly available monthly means and variances of temperature and precipitation, including time-dependent (so-called transient) climate changes. Unlike the usual practice of applying assumed changes in mean values to historically observed data, simulation of meteorological time series also exhibiting changes in variability is possible. Considerable freedom in climate change scenario construction is allowed. The results are suitable for investigating agricultural and other impacts of a variety of hypothetical climate changes specified in terms of monthly-averaged statistics. 相似文献
13.
14.
Olive flowering as an indicator of local climatic changes 总被引：3，自引：0，他引：3
F. Orlandi L. Ruga B. Romano M. Fornaciari 《Theoretical and Applied Climatology》2005,81(3-4):169-176
Summary In recent years many studies on climate change and its impacts have been published. In this investigation the flowering of the olive tree (Olea europaea L.) in central Italy was related to climate and its usefulness as a bio-indicator for climatic change has been studied.An aerobiological method was used to determine the flowering periods in each of 22 study years (1982–2003), and five yearly target dates in correspondence to different flowering phases were selected.Climatic trends were studied through heat summations (daily maximum, minimum and average temperatures) from 1 January to the annual day of full flowering; moreover Growing Degree Days (GDD) and Chilling Units (CU) were carried out since 1 January to 25 conventional dates in the pre-flowering period.Statistical analyses were carried out to study the relationships among climatic trends (expressed by GDD and CU) and the flowering phases. The principal result may be represented by the close relationship between climate and reproductive phenology to consider olive flowering as a good indicator of climatic changes. 相似文献
15.
16.
气象部门馆藏的西部最早的器测气象资料始于20世纪30年代,不能满足建立20世纪以来中国气候变化序列的需求,而古气候重建或气候模拟资料则可以延伸到器测时代以前。为了探讨长序列多源气候资料序列融合方法,采用贝叶斯方法对中国北疆地区8条树轮气温重建资料、器测资料与国际耦合模式比较计划第5阶段（CMIP5）模式模拟资料进行了融合试验。首先利用器测资料对气温代用资料进行校验与网格重建,并以此作为贝叶斯模型的先验分布,然后,用泰勒图选出了该区域气候模拟效果最佳的几个模式;最后将网格重建和气候模拟序列用贝叶斯模型进行了融合试验。结果表明,贝叶斯融合模型能有效提取各种数据来源的有用信息进行融合,融合结果的长期变化（线性）趋势更接近器测气候序列,并在一定程度上提高了序列的精度,减小了结果的不确定性;并且,融合结果能够纠正先验分布及气候模拟数据的明显偏差,为长年代气候序列重建提供了一个可行的思路。 相似文献
17.
J. Ray Bates 《Climate Dynamics》2012,38(3-4):455-473
A theoretical investigation of climate stability and sensitivity is carried out using three simple linearized models based on the top-of-the-atmosphere energy budget. The simplest is the zero-dimensional model (ZDM) commonly used as a conceptual basis for climate sensitivity and feedback studies. The others are two-zone models with tropics and extratropics of equal area; in the first of these (Model A), the dynamical heat transport (DHT) between the zones is implicit, in the second (Model B) it is explicitly parameterized. It is found that the stability and sensitivity properties of the ZDM and Model A are very similar, both depending only on the global-mean radiative response coefficient and the global-mean forcing. The corresponding properties of Model B are more complex, depending asymmetrically on the separate tropical and extratropical values of these quantities, as well as on the DHT coefficient. Adopting Model B as a benchmark, conditions are found under which the validity of the ZDM and Model A as climate sensitivity models holds. It is shown that parameter ranges of physical interest exist for which such validity may not hold. The 2?×?CO2 sensitivities of the simple models are studied and compared. Possible implications of the results for sensitivities derived from GCMs and palaeoclimate data are suggested. Sensitivities for more general scenarios that include negative forcing in the tropics (due to aerosols, inadvertent or geoengineered) are also studied. Some unexpected outcomes are found in this case. These include the possibility of a negative global-mean temperature response to a positive global-mean forcing, and vice versa. 相似文献
18.
Anthropogenic climate change is affecting the environment of all oceans, modifying ocean circulation, temperature, chemistry and productivity. While evidence for changes in physical signals is often distinct, impacts on fishes inhabiting oceanic systems are not easily identified, and therefore, quantification of responses is less common. Correctly attributing changes associated with a changing climate from other drivers is important for the implementation of effective harvest and management strategies and for addressing associated socio-economic impacts, particularly for countries highly dependent on oceanic resources. Data supporting investigation of responses of oceanic species to climate impacts include fisheries catch, fisheries-independent surveys, and conventional and electronic tagging data. However, there are a number of challenges associated with detecting climatic responses with these data, including (i) data collection costs (ii) small sample sizes (iii) limited time series relative to temporal scales at which environmental variability occurs, (iv) changing fisher and fisheries behavior due to non-climate drivers and (v) changes in population dynamics due to natural climate variability and non-climate drivers. We highlight potential biases and suggest strategies that should be considered when using oceanic fish and fisheries data in the evaluation of climate change impacts. Consideration of these factors is important when assessing variability in exploited species and designing management responses to climate or fisheries threats. 相似文献
19.
Gordon D. Nigh 《Climatic change》2006,76(3-4):321-337
Future climate change is expected to have many impacts on forest ecosystems. It is important to have some understanding of these impacts in order to make informed forest management decisions. A major consideration in making forest management decisions is the productivity of a site, as measured by site index. In this study, I relate Douglas-fir site index to accumulated growing degree-days greater than 5°C (DD5), as well as to soil moisture and nutrient regime. This allows the impact of climate change on forest productivity to be estimated. A two step approach was followed. The first step derived models to estimate various climate variables to latitude, longitude, and elevation using data from climate stations. Then, these climate variables were used along with soil moisture and nutrient data to predict site index for the site index plots. A two step approach was taken because climatic data were not available for the site index plots. The trend was for site index to increase with both increasing soil moisture and nutrients, although the site index decreased on the wetter sites. Site index also increased with DD5 at the rate of 1.2 m for every increase of 100 units in DD5. These models can be used together to evaluate the impact of various climate change scenarios on site index. 相似文献
20.
根据最新研究成果，对从古气候学角度展望未来全球气候变化问题的可能性和方法进行了讨论和总结。过去温室气体含量、温度、降水、海平面和突然气候变化等古资料记录及其分析加深了我们对于气候系统物理过程的理解，古气候类比方法以及古资料在气候模式校准中的应用也显示了古气候学对于未来气候预测的潜在意义。 相似文献