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

被引：28

作者：

Parkes, B. L. ^{[1
]}

Wetterhall, F. ^{[1
,2
]}

Pappenberger, F. ^{[3
]}

He, Y. ^{[4
]}

Malamud, B. D. ^{[1
]}

Cloke, H. L. ^{[1
]}

机构：

[1] Kings Coll London, Dept Geog, London WC2R 2LS, England

[2] Swedish Meteorol & Hydrol Inst, S-60176 Norrkoping, Sweden

[3] European Ctr Medium Range Weather Forecasts ECMWF, Reading RG2 9AX, Berks, England

[4] Univ E Anglia, Tyndall Ctr Climate Change Res, Norwich NR4 7TJ, Norfolk, England

来源：

HYDROLOGY RESEARCH | 2013年 / 44卷 / 01期

基金：

英国自然环境研究理事会;

关键词：

disaggregation; gauge; hydrological modelling; precipitation; radar; Severn Uplands; RADAR DATA; RAINFALL; UNCERTAINTY; ACCURACY; REAL; PROPAGATION; CALIBRATION; QUALITY;

D O I：

10.2166/nh.2011.025

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

In this study a gridded hourly 1-km precipitation dataset for a meso-scale catchment (4,062 km(2)) 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.

引用

页码：89 / 105

页数：17

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