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Rainfall uncertainty for extreme events in NWP downscaling model
Authors:Michaela Bray  Dawei Han  Yunqing Xuan  Paul Bates  Michael Williams
Institution:1. Department of Civil Engineering, University of Bristol, Queen's Building, University Walk, Bristol BS8 1TR, UK;2. Department of Hydroinformatics and Knowledge Management, UNESCO‐IHE Institute for Water Education, Delft, The Netherlands;3. Department of Geography, University of Bristol, University Road, Clifton, Bristol BS8 1SS, UK;4. Landmark Information Group Ltd, 5‐7 Abbey Court, Exeter, Devon EX2 7HY, UK
Abstract: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 © 2010 John Wiley & Sons, Ltd.
Keywords:MM5  domain size  buffer zone  sensitivity  precipitation
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