Rainfall uncertainty for extreme events in NWP downscaling model
Rainfall uncertainty for extreme events in NWP downscaling model
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DOI：
10.1002/hyp.7905
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发表时间：
2011-04-30
影响因子：
3.2
通讯作者：
Williams, Michael
中科院分区：
文献类型：
--
作者：
Bray, Michaela;Han, Dawei;Williams, Michael
有限区域数值天气预报（NWP）模式，如MM5已成为一种流行的方法，用于生成水文分析的降雨估计，特别是在降雨数据稀疏的集水区。虽然已经进行了几项研究，以调查水文应用的MM5参数化方案的适当性，嵌套域的大小和它们之间的距离被忽视的水文目的模型降水估计的不确定性的来源。本研究探讨模式降雨量估计来自MM5的不确定性，通过改变域的大小和域之间的距离。研究结果显示，区域大小与缓冲区大小对模式降雨量估测有显著的影响，水文学者不应忽略。版权所有（C）2010约翰威利父子有限公司
Limited area numerical weather predication (NWP) models such as MM5 have become a popular method for generating rainfall estimates for hydrological analysis, particularly for catchments where rainfall data are sparse. Although several studies have been undertaken to investigate the appropriateness of MM5 parameterization schemes for hydrological applications, the size of the nested domains and the distance between them have been overlooked as a source of uncertainty in model precipitation estimates for hydrological purposes. This study examines the uncertainty of model rainfall estimates derived from MM5 by varying the domain size and the distance between the domains. The results from this study show that domain size and buffer zone have a significant impact on model rainfall estimates, which should not be overlooked by hydrologists. Copyright (C) 2010 John Wiley & Sons, Ltd.