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Place attachment, the emotional bonds that people form to significant places, influences adaptation to climate change. Within this context, weather is garnering greater attention for its dynamic, mediating role, yet its political and cultural significance remains under-researched. Here we draw on Serres and McCarren’s (1992) idea of the Natural Contract and Vannini et al.’s (2012) contributions on weathering to integrate contractarianism with a deep account of people’s relationship with weather in place. We analyse attitudes and adaptation to climate change in communities of the geographically-remote and climate-vulnerable Outer Hebrides in Scotland, using video-elicitation to generate data on significant places. Our results show that changing, difficult and unpredictable weather binds people to place and influences how they think about themselves, their place and adaptation in dynamic ways. Through this connection, we demonstrate that people knowingly enter into what we term Weather Contracts and that accepting the volatility of the weather allows people to react positively to changes brought with climate. Finally, we show that the common ideology of a community living with weather generates wider discourses around independence and resisting modernisation that we term a weathered ideology. Thus, climate change is not always a destabilising force. For those who are accustomed to changing weather it can be a dimension of place around which people can organise. Uncertainty and anxiety about the future of the climate is caused more by a lack of control over adaptation processes than by a fear of unknown weather. This has implications for people living at the margins across the globe, where unpredictable weather is a part of local identities, but influence on adaptation policy making is low. 相似文献
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Policy efforts to address climate change are increasingly focused on adaptation, understood as adjustments in human systems to moderate the harm, or exploit beneficial opportunities, related to actual or expected climate impacts. We examine individual-level determinants of support for climate adaptation policies, focusing on whether individuals’ exposure to extreme weather events is associated with their support for climate adaptation policies. Using novel public opinion data on support for a range of adaptation policies, coupled with high resolution geographic data on extreme weather events, we find that individuals experiencing recent extreme weather activity are more likely to support climate change adaptation policy in general, but that the relationship is modest, inconsistent across specific adaptation policies, and diminishes with time. The data thus suggest that experiencing more severe weather may not appreciably increase support for climate adaptation policies. 相似文献
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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
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Martina K. Linnenluecke Alexander Stathakis Andrew Griffiths 《Global Environmental Change》2011,21(1):123-133
Growing scientific evidence suggests that human-induced climate change will bring about large-scale environmental changes such as sea-level rise and coastal flooding, extreme weather events and agricultural disruptions. The speed and extent of these changes and the expected impacts on social and corresponding economic and industrial systems are now moving to the forefront of debates. In this paper, we argue that climate change will lead to significant disruptions to firms which might ultimately create the necessity of a geographical shift of firm and industrial activities away from regions highly affected by climate change. Such a shift might become necessary due to (1) direct disruptions through climate change impacts on firm operations, for instance through droughts, floods, or sea level rise, and due to (2) disruptions in a firm's supplier, buyer or resource base that lead to flow-on effects and adverse consequences for a firm. We propose a framework for integrating firm relocation decisions into firm adaptive responses to climate change. The framework consists of three assessment steps: the level of risk from climate change impacts at a firm's location, the feasibility of relocation, and associated costs and benefits. We apply the framework to two case examples. The first case of electricity distribution firms in Victoria/Australia illustrates how the relocation (undergrounding) of cables could decrease the vulnerability of distribution networks to bushfires and the risk of electricity-caused fires, but would require significant investments. The second case of firms in the Australian pastoral industry points to geographic diversification of pastoral land holdings as possible adaptation option, but also to constraints in form of availability of suitable properties, ties to local communities, and adverse impacts on biodiversity. Implications for adaptation research and practice are outlined. 相似文献
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本文主要通过研究MM5数值预报产品在大不同地区短期降水预报中的释用,发现MM5数值产品具有较好的降水预报能力,对中小尺度的局地对流性降水预报效果更为明显,对强降水的预报量级亦有很好的指导意见。 相似文献
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J. N. Mutemi L. A. Ogallo T. N. Krishnamurti A. K. Mishra T. S. V. Vijaya Kumar 《Meteorology and Atmospheric Physics》2007,95(1-2):87-113
Summary This study examines the predictability of weather over several regions in Africa using a multimodel superensemble technique
developed at the Florida State University, which is an objective means of combining daily forecasts from multilevel global
models. It is referred to as FSUSE and up to 7 different models are used to construct the superensemble. The benchmark reanalysis
fields used are the precipitation data sets from CMORPH and all other global fields from ECMWF daily operational analysis.
The FSUSE works by using multiple linear regression to derive weights from a comparison of each member model forecast to the
benchmark analysis during a training period of the most recent 120 days, and these weights are passed to the forecast phase.
This procedure removes the bias of each model and allows for an optimal linear combination of the individual model forecasts
by taking account of the relative skill of each model to give a consensus forecast that is superior to the ensemble mean and
all the members.
Results show that bad models and poor analysis fields used during the training phase degrade the skill of the FSUSE. In the
forecasts of rainfall events over all regions of Africa, the FSUSE root-mean-square (R M S) error, equitable threat skill
score (E T S), and bias on the daily forecasts of rainfall were invariably superior to the best member model. The skills deteriorate
as the forecast lead time in days increases, with the degradation being most significant beyond day 3. In all cases, the bias
score of the FSUSE was approximately 1, while the anomaly correlation scores were to the order of 0.9. These scores indicate
the robustness of the FSUSE forecasts. Over East Africa, the FSUSE forecasts were consistent with the spatial-temporal pattern
of the Intertropical Convergence Zone (ITCZ), the main rain bearing synoptic mechanism across tropical Africa. Thus, in addition
to superior forecasts, the use of FSUSE based data sets may provide a better understanding of the dynamical processes within
the ITCZ over the region.
These results could be further improved if the daily series of operational analysis had included gauge data and if the resolution
were higher. It is hardly possible to get uniformly consistent and continuous daily observations over these diverse regions
of Africa. However, given the availability of the satellite based estimates of daily rainfall, such as CMORPH and global analysis
that are exchanged very fast nowadays, the FSUSE scheme for numerical weather predictions (N W P) provides useful medium range
weather forecasts in real-time. 相似文献
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Khazaei Mohammad Reza Zahabiyoun Bagher Hasirchian Mehraveh 《Theoretical and Applied Climatology》2020,140(3):859-870
Theoretical and Applied Climatology - Weather generators (WGs) typically have unique advantages to the climate change impacts assessment. However, each of them has the weaknesses, strengths, and... 相似文献
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陈丹 《沙漠与绿洲气象(新疆气象)》2020,14(4):94-99
采用一元线性回归分析和基于Matlab的Mann-kendal气候突变检验和morlet小波分析等方法,开展沙雅气象站50年常规气象要素和极端天气指数研究分析。结果显示:(1)气温增温趋势明显,最低气温上升对气温增温贡献大。(2)降水量变化趋势不明显,在20世纪80年代强度变化大。(3)历年日照时数显著下降,有高频振荡周期。(4)风速下降显著,春季风速下降速率最快;全年主导风向为东北风,除此之外夏季还多出现北风,秋冬季节多出现偏西风。(5)夜间最低气温增温明显,且增温速率高于白天,极端低温日数减少,沙雅县气温呈上升趋势;降水日数和各量级降水日数趋势变化不明显。 相似文献
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为缓解气候变化以及目前全球性的环境危机,促进可持续发展,人类对城市的发展与建设模式进行了重新思考、审视与选择。从全球气候变化的现实,结合贵阳市生态城市的建设,阐述了建设生态城市,走可持续发展道路的必要性。 相似文献
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Coupled atmosphere-ocean general circulation models (GCMs) simulate different realizations of possible future climates at global scale under contrasting scenarios of land-use and greenhouse gas emissions. Such data require several additional processing steps before it can be used to drive impact models. Spatial downscaling, typically by regional climate models (RCM), and bias-correction are two such steps that have already been addressed for Europe. Yet, the errors in resulting daily meteorological variables may be too large for specific model applications. Crop simulation models are particularly sensitive to these inconsistencies and thus require further processing of GCM-RCM outputs. Moreover, crop models are often run in a stochastic manner by using various plausible weather time series (often generated using stochastic weather generators) to represent climate time scale for a period of interest (e.g. 2000 ± 15 years), while GCM simulations typically provide a single time series for a given emission scenario. To inform agricultural policy-making, data on near- and medium-term decadal time scale is mostly requested, e.g. 2020 or 2030. Taking a sample of multiple years from these unique time series to represent time horizons in the near future is particularly problematic because selecting overlapping years may lead to spurious trends, creating artefacts in the results of the impact model simulations. This paper presents a database of consolidated and coherent future daily weather data for Europe that addresses these problems. Input data consist of daily temperature and precipitation from three dynamically downscaled and bias-corrected regional climate simulations of the IPCC A1B emission scenario created within the ENSEMBLES project. Solar radiation is estimated from temperature based on an auto-calibration procedure. Wind speed and relative air humidity are collected from historical series. From these variables, reference evapotranspiration and vapour pressure deficit are estimated ensuring consistency within daily records. The weather generator ClimGen is then used to create 30 synthetic years of all variables to characterize the time horizons of 2000, 2020 and 2030, which can readily be used for crop modelling studies. 相似文献
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It has been argued that public doubts about climate change have been exacerbated by cold weather events seen as a form of disconfirming evidence for anticipated ‘warming’. Although a link between perceptions of climate and weather is well-established, such assumptions have not been empirically tested. Here we show, using nationally representative data, that directly following a period of severe cold weather in the UK, three times as many people saw these events as pointing towards the reality of climate change, than as disconfirming it. This we argue was a consequence of these cold winters being incorporated into a conceptualisation of extreme or ‘unnatural’ weather resulting from climate change. We also show that the way in which people interpret cold weather is associated with levels of pre-existing scepticism about climate change, which is in turn related to more general worldviews. Drawing attention to ‘extreme’ weather as a consequence of climate change can be a useful communication device, however this is problematic in the case of seasonal cold. 相似文献
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Julian Ramirez-Villegas Mike Salazar Andy Jarvis Carlos E. Navarro-Racines 《Climatic change》2012,115(3-4):611-628
Policy measures regarding adaptation to climate change include efforts to adjust socio-economic and ecologic systems. Colombia has undertaken various measures in terms of climate change mitigation and adaptation since becoming a party of the Kyoto protocol in 2001 and a party of the United Nations Framework Convention on Climate Change (UNFCCC) in 1995. The first national communication to the UNFCCC stated how Colombian agriculture will be severely impacted under different emission scenarios and time frames. The analyses in this document further support that climate change will severely threaten the socioeconomics of Colombian agriculture. We first query national data sources to characterize the agricultural sector. We then use 17 Global Circulation Model (GCM) outputs to quantify how Colombian agricultural production may be affected by climate change, and show the expected changes to years 2040–2069 (“2050”) under the A2 scenario of the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (SRES-A2) and the overall trends in both precipitation and temperature to 2100. We then evaluate expected changes within different regions and measure the proportion of area affected within each crop’s distributional range. By 2050, climatic change in Colombia will likely impact 3.5 million people, 14?% of national GDP corresponding to agriculture, employment of 21?% of the population, agro-industries, supply chains, and food and nutritional security. If no adaptation measures are taken, 80?% of crops would be impacted in more than 60?% of their current areas of cultivation, with particularly severe impacts in high value perennial and exportable crops. Impacts also include soil degradation and organic matter losses in the Andes hillsides; likely flooding in the Caribbean and Pacific coasts; niche losses for coffee, fruit, cocoa, and bananas; changes in prevalence of pests and diseases; and increases in the vulnerabilities of non-technically developed smallholders. There is, however, still time to change the current levels of vulnerability if a multidisciplinary focus (i.e., agronomic, economic, and social) in vulnerable sectors is undertaken. Each sub-sector and the Government need to invest in: (1) data collection, (2) detailed, regionally-based impact assessments, (3) research and development, and (4) extension and technology transfer. Support to vulnerable smallholders should be given by the state in the form of agricultural insurance systems contextualized under the phenomenon of climate change. A national coordination scheme led by (but not restricted to) the Ministry of Agriculture and Rural Development (MADR) with the contributions of national and international institutions is needed to address agricultural adaptation. 相似文献
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A changing climate and more frequent extreme weather events pose challenges to the oil and gas sector. Identifying how these changes will affect oil and gas extraction, transportation, processing, and delivery, and how these industries can adapt to or mitigate any adverse impacts will be vital to this sector’s supply security. This work presents an overview of the sector’s vulnerability to a changing climate. It addresses the potential for Natech hazards and proposes risk reduction measures, including mitigation and adaptation options. Assessment frameworks to ensure the safety of people, the environment, and investments in the oil and gas sector in the face of climate change are presented and their limitations discussed. It is argued that a comprehensive and systemic analysis framework for risk assessment is needed. The paper concludes that climate change and extreme weather events represent a real physical threat to the oil and gas sector, particularly in low-lying coastal areas and areas exposed to extreme weather events. The sector needs to take climate change seriously, assess its own vulnerability, and take appropriate measures to prevent or mitigate any potentially negative effects. 相似文献
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Debates about climate justice have mainly occurred at the international scale, and have focussed on the rights and responsibilities of nation-states to either be protected from the effects of climate change, or to take action to reduce emissions or support adaptation. In this paper, we argue that it is both productive and necessary to examine how climate justice is being pursued at the urban scale, which brings into focus the need for attention to issues of recognition as well as rights and responsibilities. Building on work from environmental justice, which has conceptualized justice as trivalent, we propose that climate justice can be understood as a pyramid, the faces of which are distributions, procedures, rights, responsibilities and recognition. We then apply this conceptual framework to examine climate change interventions in five cities; Bangalore, Monterrey, Hong Kong, Philadelphia and Berlin. Arguing that the politics and practices of urban climate change interventions are constantly engaging with and refracting the idea of justice, we examine how justice was articulated, practiced and contested across our cases. The perspective of recognition emerges as a particularly useful entry point through which to explore the types of rights, responsibilities, distributions and procedures required to respond justly to climate change. We conclude by reflecting on our framework, arguing that it is useful both as an analytical device to interrogate climate justice and to shape the design of climate change interventions which seek to ensure climate justice. 相似文献
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A growing body of research examines the role of extreme weather experience—as one of the most personal, visceral (and increasingly frequent and severe) impacts of climate change—in shaping views on climate change. A remaining question is whether the experience of an extreme weather event increases climate change concern via experiential learning or reinforces existing views via motivated reasoning. Building on this work, we explore the relationship between personal experience and climate change policy preferences using surveys in 10 communities that experienced extreme weather events (3 tornadoes, 3 floods, 2 wildfires, 1 hurricane and 1 landslide). We find that self-reported personal harm aligns with objective measures of event impacts and that personal harm (i.e., experience) is associated with higher levels of policy support. However, we do not find that objective measures of event impacts are related to policy support. Though political ideology (i.e., motivated reasoning) dominates our model of policy support in predictable ways, personal harm moderates this relationship suggesting that conservatives reporting higher levels of personal harm from the event are, on average, more likely to express support for climate policy than those reporting lower levels of harm. We postulate that while extreme weather events may serve as teachable moments on climate change, their lessons may only reach conservatives who feel personally harmed, even in the communities most affected. 相似文献
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《Global Environmental Change》1999,9(2):81-93
Institutions are the multitude of means for holding society together, for giving it a sense of purpose and for enabling it to adapt. Institutions help to define climate change both as a problem and a context, through such socialised devices as the use of scientific knowledge, culturally defined interpretation of scientific findings, and politically tolerable adaptation strategies. This paper briefly reviews the origins and current status of the ‘new’ institutional theories that have recently developed within the social sciences. The conclusion is that they are based on such contradictory interpretations of human behaviour that, although appealing, a complete synthesis will never be possible. In effect, there is a fundamental institutional ‘failure’ over the interpretation and resolution of climate change. Cultural theory helps to explain why this is the case by throwing light on the inherent contradictions that beset us all when confronted with global warming. 相似文献
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The literature suggests that extreme weather experiences have potential to increase climate change engagement by influencing the way people perceive the proximity and implications of climate change. Yet, limited attention has been directed at investigating how individual differences in the subjective interpretation of extreme weather events as indications of climate change moderate the link between extreme weather experiences and climate change attitudes. This article contends that subjective attribution of extreme weather events to climate change is a necessary condition for extreme weather experiences to be translated into climate change mitigation responses, and that subjective attribution of extreme weather to climate change is influenced by the psychological and social contexts in which individuals appraise their experiences with extreme weather. Using survey data gathered in the aftermath of severe flooding across the UK in winter 2013/2014, personal experience of this flooding event is shown to only directly predict perceived threat from climate change, and indirectly predict climate change mitigation responses, among individuals who subjectively attributed the floods to climate change. Additionally, subjective attribution of the floods to climate change is significantly predicted by pre-existing climate change belief, political affiliation and perceived normative cues. Attempts to harness extreme weather experiences as a route to engaging the public must be attentive to the heterogeneity of opinion on the attributability of extreme weather events to climate change. 相似文献