Rainfall uncertainty for extreme events in NWP downscaling model

被引：16

作者：

Bray, Michaela ^{[1
]}

Han, Dawei ^{[1
]}

Xuan, Yunqing ^{[2
]}

Bates, Paul ^{[3
]}

Williams, Michael ^{[4
]}

机构：

[1] Univ Bristol, Dept Civil Engn, Bristol BS8 1TR, Avon, England

[2] UNESCO IHE Inst Water Educ, Dept Hydroinformat & Knowledge Management, Delft, Netherlands

[3] Univ Bristol, Dept Geog, Bristol BS8 1SS, Avon, England

[4] Landmark Informat Grp Ltd, Exeter EX2 7HY, Devon, England

来源：

HYDROLOGICAL PROCESSES | 2011年 / 25卷 / 09期

关键词：

MM5; domain size; buffer zone; sensitivity; precipitation; REGIONAL-CLIMATE MODEL; PARAMETERIZATION SCHEMES; UNITED-STATES; SENSITIVITY; SIMULATION; PREDICTION; MM5;

D O I：

10.1002/hyp.7905

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

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.

引用

页码：1397 / 1406

页数：10

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