Climate change detection and annual extreme temperature analysis of the Irtysh Basin

As the largest tributary of the Ob River, the Irtysh River is an international river partially joining the territories of China, Kazakhstan, and Russia. Four meteorological stations in the Irtysh Basin were selected and the long-term observed daily temperature data were collected. The extreme temperature change was analyzed considering climate change. Detected by the heuristic segmentation by histogram comparison approach, climate was changed during the first half of the 1970s in terms of the increased mean value and decreased standard deviation of the daily temperature series. The noticeable change of the monthly mean temperature was the warmer winter. After climate change, the annual maximum temperature was little changed and its series was not segmented. However, the annual minimum temperature was significantly changed in terms of the increased mean value by more than 2°C, so its series was segmented to the pre- and post-change point subseries. The generalized extreme value distribution was fitted to the annual extreme temperature and the parameters were estimated by the maximum likelihood method. The return levels for 10/50/100-year return periods estimated by the profile likelihood method were obtained for the annual extreme temperature. The probability of occurrence of the cold extremes was decreased after 1970s.     

Climate change and energy security: an analysis of policy research

The literature on climate change’s impacts on energy security is scattered across disparate fields of research and schools of thought. Much of this literature has been produced outside of the academy by scholars and practitioners working in “think tanks,” government agencies, and international/multilateral institutions. Here we reviewed a selected set of 58 articles and reports primarily from such sources and performed textual analysis of the arguments. Our review of this literature identifies three potential mechanisms for linking climate change and energy security: Climate change may 1) create second-order effects that may exacerbate social instability and disrupt energy systems; 2) directly impact energy supply and/or systems or 3) influence energy security through the effects of climate-related policies. We identify emerging risks to energy security driven by climate mitigation technology choices but find less evidence of climate change’s direct physical impacts. We used both empirical and qualitative selection factors for choosing the grey literature sample. The sources we selected were published in the last 5 years, available through electronic media and were written in language accessible to general policy or academic readers. The organizations that published the literature had performed previous research in the general fields of energy and/or climate change with some analytical content and identified themselves as non-partisan. This literature is particularly valuable to scholars because identifies understudied relationships that can be rigorously assessed through academic tools and methodologies and informs a translational research agenda that will allow scholars to engage with practitioners to address challenges that lie at the nexus of climate change and energy security.     

Climate change signal analysis for Northeast Asian surface temperature

Climate change detection, attribution, and prediction were studied for the surface temperature in the Northeast Asian region using NCEP/NCAR reanalysis data and three coupled-model simulations from ECHAM4/OPYC3, HadCM3, and CCCma GCMs (Canadian Centre for Climate Modeling and Analysis general circulation model). The Bayesian fingerprint approach was used to perform the detection and attribution test for the anthropogenic climate change signal associated with changes in anthropogenic carbon dioxide (CO2) and sulfate aerosol (SO42-) concentrations for the Northeast Asian temperature. It was shown that there was a weak anthropogenic climate change signal in the Northeast Asian temperature change. The relative contribution of CO2 and SO42- effects to total temperature change in Northeast Asia was quantified from ECHAM4/OPYC3 and CCCma GCM simulations using analysis of variance. For the observed temperature change for the period of 1959-1998, the CO2 effect contributed 10%-21% of the total variance and the di     

Climate change perceptions and their individual-level determinants: A cross-European analysis

There is now an extensive literature on the question of how individual-level factors affect climate change perceptions, showing that socio-political variables, notably values, worldviews and political orientation, are key factors alongside demographic variables. Yet little is known about cross-national differences in these effects, as most studies have been conducted in a single or small number of countries and cross-study comparisons are difficult due to different conceptualisations of key climate change dimensions. Using data from the European Social Survey Round 8 (n = 44,387), we examine how key socio-political and demographic factors are associated with climate change perception across 22 European countries and Israel. We show that human values and political orientation are important predictors of climate change beliefs and concern, as are the demographics of gender, age, and education. Certain associations with climate change perceptions, such as the ones for the self-transcendence versus self-enhancement value dimension, political orientation, and education, are more consistent across countries than for gender and age. However, even if the direction of the associations are to a large extent consistent, the sizes of the effects are not. We demonstrate that the sizes of the effects are generally smaller in Central and Eastern European countries, and that some demographic effects are larger in Northern European as compared to Western European countries. This suggests that findings from one country do not always generalize to other national contexts.     

气候变化与城市全要素生产率：理论与实证

利用1994—2014年中国城市数据探讨气候变化对城市全要素生产率（TFP）的影响。研究发现：气候变化（气温变化和降水量变化）对城市TFP均有负面影响,其中降水量的影响更显著,但对中国东部地区城市的TFP影响不明显;经济发展水平越高的城市,其TFP受气候变化的影响越小,而经济发展水平越低,这种影响就越显著;城市产业结构越趋合理,天气与气候的影响越低,反之则影响越大。其中降水量的变化对三大产业都有影响,对第一产业影响最显著。     

兴义近47a气候变化分析

采用累积距平和一元线性趋势分析法,对兴义市近47a的气温和降雨资料进行统计分析。结果表明：年平均气温在1961-1967年为上升,是变暖期,1968-1985年累积距平为下降,是变冷期,1997-2007年是变暖期。冬季的气温变化较大,对年平均气温的变化贡献最大,尤其是2001年以来连续7a的偏暖年,冬季的增温非常明显。兴义市1961—1978年年降雨量变化相对较为平稳,1979-1986年为降雨量增加时期,1987-1989年为降雨减少年,1990-1997年降雨增加时期,经过1998-2003年的波动后,2004-2007年为降雨减少年。近47a来年平均温度和年降雨量变化较为平稳,主要是四季的变化较大,冬季以0．146℃／10a增暖,春季以0．165℃／10a趋势变冷,夏秋变化不大。夏季降雨量以27．403mm／10a的趋势增加,冬季降雨量无明显变化,春季降雨量以12．584mm／10a的趋势减少,而秋季则以17．71mm／10a的趋势减少。     

Climate spectra and detecting climate change

Part of the debate over possible climate changes centers on the possibility that the changes observed over the previous century are natural in origin. This raises the question of how large a change could be expected as a result of natural variability. If the climate measurement of interest is modelled as a stationary (or related) Gaussian time series, this question can be answered in terms of (a) the way in which change is estimated, and (b) the spectrum of the time series. These computations are illustrated for 128 years of global temperature data using some simple measures of change and for a variety of possible temperature spectra. The results highlight the time scales on which it is important to know the magnitude of natural variability. The uncertainties in estimates of trend are most sensitive to fluctuations in the temperature series with periods from approximately 50 to 500 years. For some of the temperature spectra, it was found that the standard error of the least squares trend estimate was 3 times the standard error derived under the naïve assumption that the temperature series was uncorrelated. The observed trend differs from zero by more than 3 times the largest of the calculated standard errors, however, and is therefore highly significant.     

Climate change and Quebec's ski industry

This study presents the results of a second-generation climate change assessment for three key ski regions of Quebéc incorporating snowmaking as a climate adaptation strategy. Potential economic ramifications for ski operators are assessed separately for the main revenue-generating period and shoulder seasons. The paper concludes that climate change does not pose a threat to the Quebéc ski industry under 2020s scenarios and that, while adequate snow base can be maintained with additional snowmaking under even the warmest scenario for the 2050s, the combined economic impact of lost revenue opportunities from a shortened ski season and increased snowmaking costs will likely prove prohibitive for some ski operators.     

Climate change,innovation and jobs

The employment effect of climate policy has emerged as an important concern of policy makers, not least in the USA. Yet the impact of climate policy on jobs is complex. In the short term, jobs will shift from high-carbon activities to low-carbon activities. The net effect could be job creation, as low-carbon technologies tend to be more labour-intensive, at least in the short term until efficiency gains bring down costs. In the medium term, the effect will be felt economy-wide as value chains and production patterns adjust. This effect is more difficult to gauge, particularly if climate policy is unilateral and trade effects have to be taken into account. However, the biggest effect is expected to be long term, when climate policy will trigger widespread structural adjustment. Such episodes of ‘creative destruction’ are often associated with innovation, job creation and growth.     

Climate change and global water resources

By 2025, it is estimated that around 5 billion people, out of a total population of around 8 billion, will be living in countries experiencing water stress (using more than 20% of their available resources). Climate change has the potential to impose additional pressures in some regions. This paper describes an assessment of the implications of climate change for global hydrological regimes and water resources. It uses climate change scenarios developed from Hadley Centre climate simulations (HadCM2 and HadCM3), and simulates global river flows at a spatial resolution of 0.5×0.5° using a macro-scale hydrological model. Changes in national water resources are calculated, including both internally generated runoff and upstream imports, and compared with national water use estimates developed for the United Nations Comprehensive Assessment of the Freshwater Resources of the World. Although there is variation between scenarios, the results suggest that average annual runoff will increase in high latitudes, in equatorial Africa and Asia, and southeast Asia, and will decrease in mid-latitudes and most subtropical regions. The HadCM3 scenario produces changes in runoff which are often similar to those from the HadCM2 scenarios — but there are important regional differences. The rise in temperature associated with climate change leads to a general reduction in the proportion of precipitation falling as snow, and a consequent reduction in many areas in the duration of snow cover. This has implications for the timing of streamflow in such regions, with a shift from spring snow melt to winter runoff. Under the HadCM2 ensemble mean scenario, the number of people living in countries with water stress would increase by 53 million by 2025 (relative to those who would be affected in the absence of climate change). Under the HadCM3 scenario, the number of people living in countries with water stress would rise by 113 million. However, by 2050 there would be a net reduction in populations in stressed countries under HadCM2 (of around 69 million), but an increase of 56 million under HadCM3. The study also showed that different indications of the impact of climate change on water resource stresses could be obtained using different projections of future water use. The paper emphasises the large range between estimates of “impact”, and also discusses the problems associated with the scale of analysis and the definition of indices of water resource impact.     

Climate change and snow-cover duration in the Australian Alps

This study uses a model of snow-cover duration, an observed climate data set for the Australian alpine area, and a set of regional climate-change scenarios to assess quantitatively how changes in climate may affect snow cover in the Australian Alps. To begin, a regional interannual climate data set of high spatial resolution is prepared for input to the snow model and the resulting simulated interannual and spatial variations in snow-cover duration are assessed and compared with observations. The model provides a reasonable simulation of the sensitivities of snow-cover duration to changes in temperature and precipitation in the Australian Alps, although its performance is poorer at sites highly marginal for snow cover. (In a separate comparison, the model also performs well for sites in the European Alps.) The input climate data are then modified in line with scenarios of regional climate change based on the results of five global climate models run in enhanced greenhouse experiments. The scenarios are for the years 2030 and 2070 and allow for uncertainty associated with projecting future emissions of greenhouse gases and with estimating the sensitivity of the global climate system to enhanced greenhouse forcing. Attention focuses on the climate changes most favourable (best-case scenario) and least favourable (worst-case scenario) for snow cover amongst the range of climate changes in the scenarios. Under the best case scenario for 2030, simulated average snow-cover duration and the frequency of years of more than 60 days cover decline at all sites considered. However, at the higher sites (e.g., more than 1700 m) the effect is not very marked. For the worst case scenario, a much more dramatic decline in snow conditions is simulated. At higher sites, simulated average snow cover duration roughly halves by 2030 and approaches zero by 2070. At lower sites (around 1400 m), near zero average values are simulated by 2030 (compared to durations of around 60 days for current climate).These simulated changes, ranging between the best and worst case, are likely to be indicative of how climate change will affect natural snow-cover duration in the Australian Alps. However, note that the model does not allow directly for changes in the frequency and intensity of snow-bearing circulation systems, nor do the climate-change scenarios allow possible changes in interannual variability (particularly that due to the El Niño-Southern Oscillation) and local topographical effects not resolved by global climate models. The simulated changes in snow cover are worthy of further consideration in terms of their implications for the ski industry and tourism, water resources and hydroelectric power, and land-use management and planning.68 Barada Crescent, Aranda ACT 2614, Australia.     

Climate change perception in Romania

Theoretical and Applied Climatology - In the last decades, anthropogenic drivers have significantly influenced the natural climate variability of Earth’s atmosphere. Climate change has become...     

Climate change and sustainable development: expanding the options

Climate change and sustainable development have been addressed in largely separate circles in both research and policy. Nevertheless, there are strong linkages between the two in both realms. This paper focuses on the scientific linkages and discusses the opportunities they provide for integrated policy development, and the necessity to consider the risk of trade-offs. It is suggested that integration may not only provide new opportunities, but may even be a prerequisite for successfully addressing both issues. Since the feasibility of stabilising greenhouse gas concentrations is dependent on general socio-economic development paths, climate policy responses should be fully placed in the larger context of technological and socio-economic policy development rather than be viewed as an add-on to those broader policies. The arguments are supported by a range of examples for various economic sectors in the areas of both mitigation and adaptation, largely drawn from IPCC’s Third Assessment Report.     

Climate change and the transition to neoliberal environmental governance

What are the guiding principles of contemporary international governance of climate change and to what extent do they represent neoliberal forms? We document five main political and institutional shifts within the UN Framework Convention on Climate Change (UNFCCC) and outline core governance practices for each phase. In discussing the current phase since the Paris Agreement, we offer to the emerging literature on international neoliberal environmental governance an analytical framework by which the extent of international neoliberal governance can be assessed. We conceptualize international neoliberal environmentalism as characterized by four main processes: the prominence of libertarian ideals of justice, in which justice is defined as the rational pursuit of sovereign self-interest between unequal parties; marketization, in which market mechanisms, private sector engagement and purportedly ‘objective’ considerations are viewed as the most effective and efficient forms of governance; governance by disclosure, in which the primary obstacles to sustainability are understood as ‘imperfect information’ and onerous regulatory structures that inhibit innovation; and exclusivity, in which multilateral decision-making is shifted from consensus to minilateralism. Against this framework, we argue that the contemporary UNFCCC regime has institutionalized neoliberal reforms in climate governance, although not without resistance, in a configuration which is starkly different than that of earlier eras. We conclude by describing four crucial gaps left by this transition, which include the ability of the regime to drive adequate ambition, and gaps in transparency, equity and representation.     

Climate change: High-latitude regions

The distinctive physical setting of high-latitude regions results not only in enhanced change in mean surface temperature for a given perturbation of planetary heat balance, but an enhanced regional and seasonal environmental response due to non-uniformity in poleward heat flux, and to the energy relationships of phase change and albedo change connected with ice and snow cover. The environmental response of the Arctic is characteristically different from that of the Antarctic because of differences in planetary geography and energy circulation. Ecosystems that have adapted to the low natural energy flows of high latitudes are relatively more sensitive to a given change in magnitude and timing of available energy, and to changes in physical and geochemical conditions, than most of those in lower latitudes. These natural sensitivities have a profound influence on human activities in polar areas. Policies to adapt to, or where possible to benefit from the environmental changes that will be brought about by climate change in high latitudes will have to be adapted to the distinctive environmental responses of polar areas. Careful research to understand the environmental response to climate change is essential as arctic and antarctic regions assume a greater importance in world affairs, and as the arctic regions in particular are the subject of increasing policy attention on strategic, resource development, socioeconomic and environmental protection grounds.