A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations

Gemma Coxon, Jim E Freer, Ida K Westerberg, Thorsten Wagener, Ross Woods, Paul Smith

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

97 Citations (Scopus)
628 Downloads (Pure)

Abstract

Benchmarking the quality of river discharge data and understanding its information content for hydrological analyses is an important task for hydrologic science. There is a wide variety of techniques to assess discharge uncertainty. However, few studies have developed generalized approaches to quantify discharge uncertainty. This study presents a generalized framework for estimating discharge uncertainty at many gauging stations with different errors in the stage-discharge relationship. The methodology utilizes a nonparametric LOWESS regression within a novel framework that accounts for uncertainty in the stage-discharge measurements, scatter in the stage-discharge data and multisection rating curves. The framework was applied to 500 gauging stations in England and Wales and we evaluated the magnitude of discharge uncertainty at low, mean and high flow points on the rating curve. The framework was shown to be robust, versatile and able to capture place-specific uncertainties for a number of different examples. Our study revealed a wide range of discharge uncertainties (10–397% discharge uncertainty interval widths), but the majority of the gauging stations (over 80%) had mean and high flow uncertainty intervals of less than 40%. We identified some regional differences in the stage-discharge relationships, however the results show that local conditions dominated in determining the magnitude of discharge uncertainty at a gauging station. This highlights the importance of estimating discharge uncertainty for each gauging station prior to using those data in hydrological analyses.
Original languageEnglish
Pages (from-to)5531–5546
Number of pages16
JournalWater Resources Research
Volume51
Issue number7
Early online date23 Jun 2015
DOIs
Publication statusPublished - 19 Jul 2015

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