共查询到10条相似文献，搜索用时 140 毫秒
1.
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
2.
王召民 《气候变化研究进展》2007,3(1):1-007
未来是否会发生由大西洋热盐环流崩溃引起的气候突变是目前极富争议性的全球气候变化问题。首先回顾了过去发生的气候突变事件以及若干成因假说,介绍了McGill地球系统模拟组的有关研究成果,并探讨了过去气候突变事件中的南北半球遥相关,最后讨论了未来是否会发生大西洋热盐环流崩溃引起的气候突变。对过去发生的大西洋热盐环流突变的研究表明,它产生的气候背景与现代气候以及将来进一步变暖的气候截然不同,因此不能凭过去发生过的突变事件来推论将来会发生类似的气候突变。尽管有的气候模式预测全球变暖会导致大西洋热盐环流减弱甚至崩溃而引发气候突变,但是目前全球气候系统的观测有许多不足之处,并且现代气候模式也存在较大的不确定性,因此尚不能确信现在的全球变暖会导致这样的气候突变。 相似文献
3.
In a changing climate, changes in rainfall variability and, in particular, extreme rainfall events are likely to be highly significant for environmentally vulnerable regions such as southern Africa. It is generally accepted that sea-surface temperatures play an important role in modulating rainfall variability, thus the majority work to date has focused on these mechanisms. However past research suggests that land surface processes are also critical for rainfall variability. In particular, work has suggested that the atmosphere-land surface feedback has been important for past abrupt climate changes, such as those which occurred over the Sahara during the mid-Holocene or, more recently, the prolonged Sahelian drought. Therefore the primary aim of this work is to undertake idealised experiments using both a regional and global climate model, to test the sensitivity of rainfall variability to land surface changes over a location where such abrupt climate changes are projected to occur in the future, namely southern Africa. In one experiment, the desert conditions currently observed over southwestern Africa were extended to cover the entire subcontinent. This is based on past research which suggests a remobilisation of sand dune activity and spatial extent under various scenarios of future anthropogenic global warming. In the second experiment, savanna conditions were imposed over all of southern Africa, representing an increase in vegetation for most areas except the equatorial regions. The results suggest that a decrease in rainfall occurs in the desert run, up to 27% of total rainfall in the regional model (relative to the control), due to a reduction in available moisture, less evaporation, less vertical uplift and therefore higher near surface pressure. This result is consistent across both the regional and global model experiments. Conversely an increase in rainfall occurs in the savanna run, because of an increase in available moisture giving an increase in latent heat and therefore surface temperature, increasing vertical uplift and lowering near surface pressure. These experiments, however, are only preliminary, and form the first stage of a wider study into how the atmosphere-land surface feedback influences rainfall extremes over southern Africa in the past (when surface i.e. vegetation conditions were very different) and in the future under various scenarios of future climate change. Future work will examine how other climate models simulate the atmosphere-land surface feedback, using more realistic vegetation types based on past and future surface conditions. 相似文献
4.
Regional climate change patterns identified by cluster analysis 总被引：1，自引：0，他引：1
Climate change caused by anthropogenic greenhouse emissions leads to impacts on a global and a regional scale. A quantitative
picture of the projected changes on a regional scale can help to decide on appropriate mitigation and adaptation measures.
In the past, regional climate change results have often been presented on rectangular areas. But climate is not bound to a
rectangular shape and each climate variable shows a distinct pattern of change. Therefore, the regions over which the simulated
climate change results are aggregated should be based on the variable(s) of interest, on current mean climate as well as on
the projected future changes. A cluster analysis algorithm is used here to define regions encompassing a similar mean climate
and similar projected changes. The number and the size of the regions depend on the variable(s) of interest, the local climate
pattern and on the uncertainty introduced by model disagreement. The new regions defined by the cluster analysis algorithm
include information about regional climatic features which can be of a rather small scale. Comparing the regions used so far
for large scale regional climate change studies and the new regions it can be shown that the spacial uncertainty of the projected
changes of different climate variables is reduced significantly, i.e. both the mean climate and the expected changes are more
consistent within one region and therefore more representative for local impacts. 相似文献
5.
The appropriate level of spatial resolution for climate scenarios is a key uncertainty in climate impact studies and regional integrated assessments. To the extent that such uncertainty may affect the magnitude of economic estimates of climate change, it has implications for the public policy debates concerning the efficiency of CO2 control options. In this article, we investigate the effects that different climate scenario resolutions have on economic estimates of the impacts of future climate changeon agriculture in the United States. These results are derived via a set of procedures and an analytical model that has been used previously in climate change assessments. The results demonstrate that the spatial scale of climate scenarios affects the estimates of both regional changes in crop yields and the economic impact on the agricultural sector as a whole. An assessment based on the finer scale climatological information consistently yielded a less favorable assessment of the implications of climate change. Regional indicators of economic activity were of opposite sign in some regions, based on the scenario scale. Such differences in economic magnitudes or signs are potentially important in examining whether past climate change assessments may misstate the economic consequences of such changes. The results reported here suggest that refinement of the spatial scale of scenarios should be carefully considered in future impacts research. 相似文献
6.
尽管气候变化是全球性的现象,但其表现和结果随区域不同而不同,因此区域气候信息对于气候变化的作用和风险评估很重要。基于此,IPCC第六次评估报告（AR6）第一工作组（WGI）报告第十章对如何从全球链接到区域气候变化方面进行了评估。区域气候变化是对自然强迫和人类活动的区域响应、对大尺度气候系统内部变率的响应和区域气候本身反馈过程的相互作用结果。因此,本章重点关注如何从多套观测资料,不同模式的集合,物理过程的理解、专家判断和本地信息等多元信息中有效提炼出区域信息的方法。通过提炼方法指出人类活动是许多次大陆尺度上1950年代以来区域平均温度变化的主要驱动力,但参考时段和阈值的选择对人类活动信号是否出现和出现的早晚有影响。人类活动对一些区域的多年代际降水变化有一定贡献,但其不确定性相对全球平均而言更大。气候系统内部变率可以在很大程度上延迟和阻碍人类活动信号在区域气候变化中的出现。区域气候变化的评估给决策者提供了更多有用的信息,增加了评估报告的适用性。 相似文献
7.
Edmund Penning-Rowsell Clare Johnson Sylvia Tunstall 《Global Environmental Change》2006,16(4):323-339
This paper evaluates policy accelerations after past flood crises in the UK (in 1947, 1953, 1998 and 2000) and explores their value as surrogates or metaphors for how governments might respond with policy changes to the local expressions of global climate and environmental change in the future. We find that these past policy change accelerations were, in general, not based on the development of new ideas but on bringing forward existing ideas that were already the subject of widespread professional or public discourse. We suggest, therefore, that we may be able to detect now, as ‘signals’ within current policy discourse, the embryos of the policy shifts that are likely to come about as part of any crisis-response adaptation to future climate change. If this is the case, then we believe that those with policy responsibilities now may be able to begin carefully and proactively to prepare the ground for such policy changes ahead of the crisis events that will alone trigger their acceleration and adoption. 相似文献
8.
In spite of the uncertainties of potential climate change, a scientific consensus is emerging that increasing concentrations of atmospheric CO2 could alter global temperatures and precipitation patterns. Changes in global climate as predicted by General Circulation Models (GCM) could therefore, have profound implications for global agriculture. The objective of this study was to assess the impacts of potential climate change on livestock and grassland production in the major producing regions of the United States. Simulation sites were selected for the study on the basis of the region's economic dependence on rangeland livestock production. Five thirty-year simulations were conducted on each site using the Simulation of Production and Utilization of Rangelands model and Colorado Beef Cattle Production Model. Climate change files were obtained by combining historic weather data from each site with predicted output from three GCM's. Results from nominal runs were compared with the three climate change scenarios and a doubled CO2 run. The magnitude and direction of ecosystem response to climate change varied among the GCM's and by geographic region. Simulations demonstrated that changes in temperature and precipitation patterns caused an increase in above-ground net primary production for most sites. Increased decomposition rates were recorded for northern regions. Similarly, animal production in northern regions increased, implying an increase in economic survivability. However, because decreases in animal production indicators were recorded for the southern regions, economic survivability in southern regions is less certain. 相似文献
9.
Safavi Hamid R. Sajjadi Sayed Mahdi Raghibi Vahid 《Theoretical and Applied Climatology》2017,130(1-2):635-653
Water resources in snow-dependent regions have undergone significant changes due to climate change. Snow measurements in these regions have revealed alarming declines in snowfall over the past few years. The Zayandeh-Rud River in central Iran chiefly depends on winter falls as snow for supplying water from wet regions in high Zagrous Mountains to the downstream, (semi-)arid, low-lying lands. In this study, the historical records (baseline: 1971–2000) of climate variables (temperature and precipitation) in the wet region were chosen to construct a probabilistic ensemble model using 15 GCMs in order to forecast future trends and changes while the Long Ashton Research Station Weather Generator (LARS-WG) was utilized to project climate variables under two A2 and B1 scenarios to a future period (2015–2044). Since future snow water equivalent (SWE) forecasts by GCMs were not available for the study area, an artificial neural network (ANN) was implemented to build a relationship between climate variables and snow water equivalent for the baseline period to estimate future snowfall amounts. As a last step, homogeneity and trend tests were performed to evaluate the robustness of the data series and changes were examined to detect past and future variations. Results indicate different characteristics of the climate variables at upstream stations. A shift is observed in the type of precipitation from snow to rain as well as in its quantities across the subregions. The key role in these shifts and the subsequent side effects such as water losses is played by temperature.
相似文献10.
《大气与海洋》2013,51(1):117-138
Abstract Dynamics affects the distribution and abundance of stratospheric ozone directly through transport of ozone itself and indirectly through its effect on ozone chemistry via temperature and transport of other chemical species. Dynamical processes must be considered in order to understand past ozone changes, especially in the northern hemisphere where there appears to be significant low‐frequency variability which can look “trend‐like” on decadal time scales. A major challenge is to quantify the predictable, or deterministic, component of past ozone changes. Over the coming century, changes in climate will affect the expected recovery of ozone. For policy reasons it is important to be able to distinguish and separately attribute the effects of ozone‐depleting substances and greenhouse gases on both ozone and climate. While the radiative‐chemical effects can be relatively easily identified, this is not so evident for dynamics — yet dynamical changes (e.g., changes in the Brewer‐Dobson circulation) could have a first‐order effect on ozone over particular regions. Understanding the predictability and robustness of such dynamical changes represents another major challenge. Chemistry‐climate models have recently emerged as useful tools for addressing these questions, as they provide a self‐consistent representation of dynamical aspects of climate and their coupling to ozone chemistry. We can expect such models to play an increasingly central role in the study of ozone and climate in the future, analogous to the central role of global climate models in the study of tropospheric climate change. 相似文献