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HYROLOGICAL IMPACTS OF CLIMATE CHANGE - CHALLENGES, UNCERTAINTY AND LIMITATIONS

机译:气候变化的水文影响-挑战,不确定性和局限性

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How climate change impacts water resources in the future is an important question that all hydrologists want to have an answer to. Climate projection scenarios are available from many Global Circulation Models. These projection datasets are typically used as input to a hydrological model for simulating impacts on hydrology, particularly river runoff, evaporation, and storage changes. However, there are a number of uncertainties (e.g. choice of a GCM, downscaling model, etc.), which make the impact assessment process complicated and heavily restrict our ability to make predictions of hydrological impacts. We illustrate some of these issues and their impacts on hydrological simulations using two examples from the Himalayan region: the Koshi River basin, Nepal and the Yellow River source region, China. Climate projections used are from a number of GCMs participated in the Coupled Model Intercomparison Project (CMIP3). In both examples, detailed process based distributed hydrological models are used. Overall, we conclude that an assessment of climate change impacts based on only one GCM, one downscaling model or one emission scenario should be interpreted with caution.
机译:气候变化如何在未来影响水资源是所有水文学家都想回答的重要问题。许多全球环流模型都提供了气候预测方案。这些投影数据集通常用作水文模型的输入,以模拟对水文的影响,尤其是河流径流,蒸发量和储量变化。但是,存在许多不确定性(例如,GCM的选择,缩减模型等),这使影响评估过程变得复杂,严重限制了我们对水文影响进行预测的能力。我们使用两个来自喜马拉雅地区的例子(尼泊尔的科什河流域和中国的黄河源地区)来说明其中的一些问题及其对水文模拟的影响。使用的气候预测来自参与耦合模型比对项目(CMIP3)的许多GCM。在两个示例中,均使用了基于详细过程的分布式水文模型。总的来说,我们得出的结论是,应仅基于一种GCM,一种降尺度模型或一种排放情景对气候变化影响进行评估。

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