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首页> 外文期刊>Journal of hydrometeorology >High-resolution climate change impact analysis on medium-sized river catchments in germany: An ensemble assessment
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High-resolution climate change impact analysis on medium-sized river catchments in germany: An ensemble assessment

机译:对德国中型河流集水区的高分辨率气候变化影响分析:整体评估

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The impact of climate change on three small- to medium-sized river catchments (Ammer, Mulde, and Ruhr) in Germany is investigated for the near future (2021-50) following the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A1B scenario. A 10-member ensemble of hydrological model (HM) simulations, based on two high-resolution regional climate models (RCMs) driven by two global climate models (GCMs), with three realizations of ECHAM5 (E5) and one realization of the Canadian Centre for Climate Modelling and Analysis version 3 (CCCma3; C3) is established. All GCM simulations are downscaled by the RCM Community Land Model (CLM), and one realization of E5 is downscaled also with the RCM Weather Research and Forecasting Model (WRF). This concerted 7-km, high-resolution RCM ensemble provides a sound basis for runoff simulations of small catchments and is currently unique for Germany. The hydrology for each catchment is simulated in an overlapping scheme, with two of the three HMs used in the project. The resulting ensemble hence contains for each chain link (GCM-realization-RCM-HM) at least two members and allows the investigation of qualitative and limited quantitative indications of the existence and uncertainty range of the change signal. The ensemble spread in the climate change signal is large and varies with catchment and season, and the results show that most of the uncertainty of the change signal arises from the natural variability in winter and from the RCMs in summer.
机译:在政府间气候变化专门委员会(IPCC)排放特别报告之后,在不久的将来(2021-50年)调查了气候变化对德国三个中小河流域(阿默尔,穆尔德和鲁尔河)的影响方案(SRES)A1B方案。一个由10个成员组成的水文模型(HM)模拟集合,基于两个高分辨率区域气候模型(RCM),其中两个模型由两个全球气候模型(GCM)驱动,其中ECHAM5(E5)的三个实现和加拿大中心的一个实现建立了气候建模与分析版本3(CCCma3; C3)。 RCM社区土地模型(CLM)缩减了所有GCM模拟的规模,RCM天气研究和预报模型(WRF)也缩减了E5的一种实现。这个协调一致的7公里高分辨率RCM集成为小流域的径流模拟提供了良好的基础,目前在德国是独一无二的。每个流域的水文状况都以重叠方案进行了模拟,项目中使用了三个HM中的两个。因此,对于每个链环(GCM-realization-RCM-HM),所得的合奏包含至少两个成员,并允许研究变化信号的存在和不确定范围的定性和有限定量指示。气候变化信号中的集合传播很大,并且随流域和季节的不同而变化,结果表明,变化信号的大部分不确定性来自冬季的自然变化和夏季的RCM。

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