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

B. L. Parkes*, F. Wetterhall, F. Pappenberger, Y. He, B. D. Malamud, H. L. Cloke

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

22 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)89-105
Number of pages17
JournalHydrology Research
Volume44
Issue number1
DOIs
Publication statusPublished - 1 Mar 2013

Keywords

  • Disaggregation
  • Gauge
  • Hydrological modelling
  • Precipitation
  • Radar
  • Severn uplands

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