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Hydrological droughts in the 21st century hotspots and uncertainties from a global multimodel ensemble experiment

机译:21世纪的水文干旱热点和来自全球多模式集合实验的不确定性

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摘要

Increasing concentrations of greenhouse gases in the atmosphere are expected to modify the global water cycle with significant consequences for terrestrial hydrology. We assess the impact of climate change on hydrological droughts in a multimodel experiment including seven global impact models (GIMs) driven by bias-corrected climate from five global climate models under four representative concentration pathways (RCPs). Drought severity is defined as the fraction of land under drought conditions. Results show a likely increase in the global severity of hydrological drought at the end of the 21st century, with systematically greater increases for RCPs describing stronger radiative forcings. Under RCP8.5, droughts exceeding 40% of analyzed land area are projected by nearly half of the simulations. This increase in drought severity has a strong signal-to-noise ratio at the global scale, and Southern Europe, the Middle East, the Southeast United States, Chile, and South West Australia are identified as possible hotspots for future water security issues. The uncertainty due to GIMs is greater than that from global climate models, particularly if including a GIM that accounts for the dynamic response of plants to CO2 and climate, as this model simulates little or no increase in drought frequency. Our study demonstrates that different representations of terrestrial water-cycle processes in GIMs are responsible for a much larger uncertainty in the response of hydrological drought to climate change than previously thought. When assessing the impact of climate change on hydrology, it is therefore critical to consider a diverse range of GIMs to better capture the uncertainty.
机译:预计大气中温室气体浓度的增加会改变全球水循环,对陆地水文学产生重大影响。我们在一个多模型实验中评估了气候变化对水文干旱的影响,该实验包括在四个有代表性的集中途径(RCP)下从五个全球气候模型中通过偏差校正后的气候驱动的七个全球影响模型(GIM)。干旱严重程度定义为干旱条件下的土地比例。结果表明,到21世纪末,全球水文干旱的严重程度可能会增加,RCP的系统性增加幅度更大,说明辐射强迫更大。在RCP8.5下,将近一半的模拟预测干旱将超过已分析土地面积的40%。干旱严重程度的提高在全球范围内具有很强的信噪比,并且确定了南欧,中东,美国东南部,智利和西南澳大利亚是未来水安全问题的可能热点。 GIM带来的不确定性要大于全球气候模型带来的不确定性,特别是如果包含一个GIM来解释植物对CO2和气候的动态响应,则该不确定性会更大,因为该模型模拟的干旱频率几乎没有或没有增加。我们的研究表明,GIM中陆地水循环过程的不同表示方式导致水文干旱对气候变化响应的不确定性要比以前想象的要大得多。因此,在评估气候变化对水文学的影响时,至关重要的是要考虑各种GIM,以更好地捕捉不确定性。

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