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Generation of rainfall scenarios using daily patterns of change from GCMs

机译:利用GCM的每日变化模式生成降雨情景

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摘要

This paper proposes a modification of the perturbation approach to downscaling GCM rainfall. The proposed approach uses a daily pattern of change in ranked rainfalls from the GCM, and then scales the ranked point daily rainfall by this pattern of change. This new approach can produce sequences of "climate change impacted" point daily rainfall that are very different in magnitude to sequences that are produced by simpler perturbation methods, especially in terms of rainfall that will produce runoff. We argue that the proposed method is superior to simpler methods, because the method can produce sequences of "climate change impacted" point rainfall that are consistent with the changes in extreme daily rainfalls and changes in the frequency of wet days that occur in the GCM.
机译:本文提出了一种对摄动法的修改,以降低GCM降雨的尺度。所提出的方法使用GCM的日降水量的每日变化模式,然后通过这种变化模式来缩放日降水量的定点。这种新方法可以产生“受气候变化影响”的点日降雨序列,其幅度与通过更简单的摄动方法产生的序列非常不同,尤其是会产生径流的降雨。我们认为,提出的方法优于简单方法,因为该方法可以产生“受气候变化影响”的点降雨序列,这些序列与极端每日降雨的变化和GCM中发生的潮湿天数的变化一致。

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