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Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins

机译:区域和全球水文模型模拟的11个大河流域气候变化影响的跨尺度比对

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摘要

Ideally, the results from models operating at different scales should agree in trend direction and magnitude of impacts under climate change. However, this implies that the sensitivity to climate variability and climate change is comparable for impact models designed for either scale. In this study, we compare hydrological changes simulated by 9 global and 9 regional hydrological models (HM) for 11 large river basins in all continents under reference and scenario conditions. The foci are on model validation runs, sensitivity of annual discharge to climate variability in the reference period, and sensitivity of the long-term average monthly seasonal dynamics to climate change. One major result is that the global models, mostly not calibrated against observations, often show a considerable bias in mean monthly discharge, whereas regional models show a better reproduction of reference conditions. However, the sensitivity of the two HM ensembles to climate variability is in general similar. The simulated climate change impacts in terms of long-term average monthly dynamics evaluated for HM ensemble medians and spreads show that the medians are to a certain extent comparable in some cases, but have distinct differences in other cases, and the spreads related to global models are mostly notably larger. Summarizing, this implies that global HMs are useful tools when looking at large-scale impacts of climate change and variability. Whenever impacts for a specific river basin or region are of interest, e.g. for complex water management applications, the regional-scale models calibrated and validated against observed discharge should be used.
机译:理想情况下,以不同规模运行的模型的结果应在趋势方向和气候变化影响的大小上一致。但是,这意味着对于任一规模设计的影响模型,其对气候变异性和气候变化的敏感度均相当。在这项研究中,我们比较了参考和情景条件下所有大陆的11个大型流域的9个全球和9个区域水文模型(HM)模拟的水文变化。重点在于模型验证运行,参考期内年排放量对气候变化的敏感性以及长期平均每月季节性动态对气候变化的敏感性。一个主要的结果是,大多数未根据观测值进行校准的全局模型通常在平均每月排放量上显示出相当大的偏差,而区域模型则显示了参考条件的更好再现。但是,两个HM合奏对气候变化的敏感性总体上相似。根据对HM合奏中位数和价差评估的长期平均每月动态来模拟的气候变化影响表明,在某些情况下,中位数在一定程度上具有可比性,但在其他情况下,中位数具有明显的差异,且价差与全局模型有关明显更大。总之,这意味着在考察气候变化和多变性的大规模影响时,全球HMs是有用的工具。只要对特定流域或地区的影响值得关注,例如对于复杂的水管理应用,应使用针对观测到的排放量进行校准和验证的区域规模模型。

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