Assessment of a 1-hour gridded precipitation dataset to drive a hydrological model: a case study of the summer 2007 floods in the Upper Severn, UK

In this study a gridded hourly 1-km precipitation dataset for a meso-scale catchment (4,062 km2) of the Upper Severn River, UK was constructed using rainfall radar data to disaggregate a daily precipitation (rain gauge) dataset. The dataset was compared to an hourly precipitation dataset created ent...

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Bibliographic Details
Published in:Hydrology Research 2013-01, Vol.44 (1), p.89-105
Main Authors: PARKES, B. L, WETTERHALL, F, PAPPENBERGER, F, HE, Y, MALAMUD, B. D, CLOKE, H. L
Format: Article
Language:English
Subjects:
Atmospheric precipitations
Calibration
Case studies
Catchment area
Daily precipitation
Datasets
Earth sciences
Earth, ocean, space
Engineering and environment geology. Geothermics
Exact sciences and technology
Gages
Gauges
Hydrologic models
Hydrology
Hydrology. Hydrogeology
Mesoscale phenomena
Natural hazards: prediction, damages, etc
Precipitation
Radar
Radar data
Rain
Rain gauges
Rainfall
Rivers
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Summary:In this study a gridded hourly 1-km precipitation dataset for a meso-scale catchment (4,062 km2) of the Upper Severn River, UK was constructed using rainfall radar data to disaggregate a daily precipitation (rain gauge) dataset. The dataset was compared to an hourly precipitation dataset created entirely from rainfall radar data. Results found that when assessed against gauge readings and as input to the Lisflood-RR hydrological model, the rain gauge/radar disaggregated dataset performed the best suggesting that this simple method of combining rainfall radar data with rain gauge readings can provide temporally detailed precipitation datasets for calibrating hydrological models.
ISSN:1998-9563
0029-1277
2224-7955
DOI:10.2166/nh.2011.025