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Climate change impact on available water resources obtained using multiple global climate and hydrology models\ud \ud

机译:气候变化对利用多种全球气候和水文模型获得的可用水资源的影响\ ud \ UD

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摘要

Climate change is expected to alter the hydrological cycle resulting in large-scale impacts on water availability. However, future climate change impact assessments are highly uncertain. For the first time, multiple global climate (three) and hydrological models (eight) were used to systematically assess the hydrological response to climate change and project the future state of global water resources. This multi-model ensemble allows us to investigate how the hydrology models contribute to the uncertainty in projected hydrological changes compared to the climate models. Due to their systematic biases, GCM outputs cannot be used directly in hydrological impact studies, so a statistical bias correction has been applied. The results show a large spread in projected changes in water resources within the climate–hydrology modelling chain for some regions. They clearly demonstrate that climate models are not the only source of uncertainty for hydrological change, and that the spread resulting from the choice of the hydrology model is larger than the spread originating from the climate models over many areas. But there are also areas showing a robust change signal, such as at high latitudes and in some midlatitude regions, where the models agree on the sign of projected hydrological changes, indicative of higher confidence in this ensemble mean signal. In many catchments an increase of available water resources is expected but there are some severe decreases in Central and Southern Europe, the Middle East, the Mississippi River basin, southern Africa, southern China and south-eastern Australia.
机译:预计气候变化将改变水文循环,从而对水的可利用性产生大规模影响。但是,未来的气候变化影响评估是高度不确定的。首次使用了多种全球气候(三种)和水文模型(八种)来系统地评估水文对气候变化的响应,并预测全球水资源的未来状况。与气候模型相比,这种多模型集合使我们能够研究水文模型如何导致预计水文变化的不确定性。由于其系统性偏差,GCM输出不能直接用于水文影响研究,因此已应用了统计偏差校正。结果表明,在某些地区的气候-水文学模型链中,水资源的预计变化范围很大。他们清楚地表明,气候模型不是水文变化不确定性的唯一来源,并且水文模型选择所产生的扩散大于气候模型在许多地区所产生的扩散。但是,在高纬度地区和某些中纬度地区,也有一些区域显示出强健的变化信号,这些模型在预测的水文变化迹象上达成了一致,表明对该总体平均信号的置信度更高。在许多流域,预计可用水资源将增加,但中欧,南欧,中东,密西西比河流域,南部非洲,中国南部和澳大利亚东南部将有严重减少。

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