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中东地区水资源可用性指标的气候模型预测有多不确定?

How uncertain are climate model projections of water availability indicators across the Middle East?

机构信息

Met Office Hadley Centre, Fitzroy Road, Exeter, UK.

出版信息

Philos Trans A Math Phys Eng Sci. 2010 Nov 28;368(1931):5117-35. doi: 10.1098/rsta.2010.0174.

Abstract

The projection of robust regional climate changes over the next 50 years presents a considerable challenge for the current generation of climate models. Water cycle changes are particularly difficult to model in this area because major uncertainties exist in the representation of processes such as large-scale and convective rainfall and their feedback with surface conditions. We present climate model projections and uncertainties in water availability indicators (precipitation, run-off and drought index) for the 1961-1990 and 2021-2050 periods. Ensembles from two global climate models (GCMs) and one regional climate model (RCM) are used to examine different elements of uncertainty. Although all three ensembles capture the general distribution of observed annual precipitation across the Middle East, the RCM is consistently wetter than observations, especially over the mountainous areas. All future projections show decreasing precipitation (ensemble median between -5 and -25%) in coastal Turkey and parts of Lebanon, Syria and Israel and consistent run-off and drought index changes. The Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) GCM ensemble exhibits drying across the north of the region, whereas the Met Office Hadley Centre work Quantifying Uncertainties in Model ProjectionsAtmospheric (QUMP-A) GCM and RCM ensembles show slight drying in the north and significant wetting in the south. RCM projections also show greater sensitivity (both wetter and drier) and a wider uncertainty range than QUMP-A. The nature of these uncertainties suggests that both large-scale circulation patterns, which influence region-wide drying/wetting patterns, and regional-scale processes, which affect localized water availability, are important sources of uncertainty in these projections. To reduce large uncertainties in water availability projections, it is suggested that efforts would be well placed to focus on the understanding and modelling of both large-scale processes and their teleconnections with Middle East climate and localized processes involved in orographic precipitation.

摘要

未来 50 年强劲的区域气候变化预测给当前这一代气候模型带来了巨大挑战。在这一领域,水循环变化特别难以建模,因为在代表大规模和对流降雨及其与地表条件的反馈等过程方面存在重大不确定性。我们提供了气候模型对 1961-1990 年和 2021-2050 年期间水可用性指标(降水、径流量和干旱指数)的预测及其不确定性。我们使用两个全球气候模型(GCM)和一个区域气候模型(RCM)的集合来研究不同的不确定性因素。尽管这三个集合都捕捉到了中东地区观测到的年降水量的总体分布,但 RCM 的降水始终比观测值高,尤其是在山区。所有未来的预测都显示,土耳其沿海地区和黎巴嫩、叙利亚和以色列部分地区的降水将减少(集合中位数在-5%至-25%之间),径流量和干旱指数将持续变化。政府间气候变化专门委员会第四次评估报告(AR4)GCM 集合显示该地区北部变干燥,而英国气象局哈德利中心的工作则显示北部略微干燥,南部显著湿润。QUMP-A GCM 和 RCM 集合的 RCM 预测也显示出更高的敏感性(更湿润和更干燥)和更广泛的不确定性范围。这些不确定性的性质表明,影响区域干湿模式的大尺度环流模式以及影响局部水资源可用性的区域尺度过程都是这些预测的重要不确定性来源。为了减少水可用性预测中的不确定性,建议集中精力理解和模拟大尺度过程及其与中东气候的遥相关以及地形降水所涉及的局部过程,这将有助于减少水可用性预测中的不确定性。

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