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首页> 外文期刊>Journal of Hydrology >Evaluation of the performance of Euro-CORDEX Regional Climate Models for assessing hydrological climate change impacts in Great Britain: A comparison of different spatial resolutions and quantile mapping bias correction methods
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Evaluation of the performance of Euro-CORDEX Regional Climate Models for assessing hydrological climate change impacts in Great Britain: A comparison of different spatial resolutions and quantile mapping bias correction methods

机译:评估大不列区水文气候变化影响的欧洲驯化区域气候模型的表现:不同空间分辨率和分位式偏压校正方法的比较

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摘要

Regional Climate Models (RCMs) are an essential tool for analysing regional climate change impacts, such as hydrological change, as they provide simulations with more small-scale details and expected smaller errors than global climate models. There has been much effort to increase the spatial resolution and simulation skill of RCMs (i.e. through bias correction), yet the extent to which this improves the projection of hydrological change is unclear. Here, we evaluate the skill of five reanalysis-driven Euro-CORDEX RCMs in simulating precipitation and temperature, and as drivers of a hydrological model to simulate river flow on four UK catchments covering different physical, climatic and hydrological characteristics. We use a comprehensive range of evaluation indices for aspects of the distribution such as means and extremes, as well as for the structure of time series. We test whether high-resolution RCMs provide added value, through analysis of two RCM resolutions, 0.44 degrees (50 km) and 0.11 degrees (12.5 km), which are also bias-corrected employing the parametric quantile-mapping (QM) method, using the normal distribution for temperature, and the Gamma (GQM) and Double Gamma (DGQM) distributions for precipitation. The performance of these is considered for a range of meteorological variables and for the skill in simulating hydrological impacts at the catchment scale.
机译:区域气候模型(RCMS)是分析区域气候变化影响的重要工具,如水文变化,因为它们提供了更小的细节和预期的误差,而不是全球气候模型的误差。已经努力提高RCMS的空间分辨率和模拟技能(即通过偏压校正),但这改善了水文变化的投影的程度尚不清楚。在这里,我们评估了在模拟沉淀和温度下进行了五次重新分析驱动的欧洲欧洲驯化型RCM的技能,以及水文模型的驱动器,以模拟河流的四个英国集水区覆盖不同的物理,气候和水文特征。我们使用全面的评估指标进行分布的各个方面,如手段和极端,以及时间序列的结构。我们测试高分辨率RCMS是否提供附加值,通过分析两个RCM分辨率,0.44度(50公里)和0.11度(12.5 km),这也是采用参数定量映射(QM)方法的偏置校正,使用温度的正态分布,以及沉淀的γ(GQM)和双伽马(DGQM)分布。这些性能被认为是一系列气象变量以及用于在集水区中模拟水文冲击的技能。

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