Integration of weather radar data into a raster GIS framework for improved flood estimation

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Title Integration of weather radar data into a raster GIS framework for improved flood estimation
Author Yu, Bofu; Seed, A.; Lin, Pu; Malone, T.
Journal Name Atmospheric Science Letters
Year Published 2005
Place of publication UK
Publisher John Wiley
Abstract Weather radar data were used to estimate rainfall fields at 2-km resolution for a large flood event in 1999 in south-east Queensland, Australia, and subsequently integrated with a raster-based hydrologic model (RAMS) for runoff generation and flow routing. Gauge-based and radar-based temporal storm patterns are quite similar for the storm event. Agreement between gauge-based and radar-based event rainfall totals is not as good as that for spatially averaged intensities. Correlation between gauge-based and radar-based rainfall measurements is not sensitive to the exponent value in the Z-R relationship for the event tested. The hydrologic model with 4 parameters for the entire 13 600-km2 catchment works very well when calibrated against the measured hydrograph. An overall model efficiency of 0.61 is achieved with respect to predicted peak discharge for 17 validation sites in the catchment. RAMS compares favourably with URBS, a rainfall-runoff model using gauge-based measurements currently in use for flood forecasting purposes. Copyright © 2005 Royal Meteorological Society
Peer Reviewed Yes
Published Yes
Publisher URI http://www3.interscience.wiley.com/journal/106562719/home
Alternative URI http://dx.doi.org/10.1002/asl.95
Copyright Statement Copyright 2005 John Wiley & Sons, Ltd. Self-archiving of the author-manuscript version is not yet supported by this publisher. Please refer to the journal link for access to the definitive, published version or contact the author for more information.
Volume 6
Page from 66
Page to 70
ISSN 1530-261X
Date Accessioned 2006-03-19
Language en_AU
Faculty Faculty of Environmental Sciences
Subject PRE2009-Surfacewater Hydrology
URI http://hdl.handle.net/10072/4316
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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