2015
DOI: 10.5194/hess-19-3951-2015
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Uncertainty in hydrological signatures

Abstract: Abstract. Information about rainfall-runoff processes is essential for hydrological analyses, modelling and watermanagement applications. A hydrological, or diagnostic, signature quantifies such information from observed data as an index value. Signatures are widely used, e.g. for catchment classification, model calibration and change detection. Uncertainties in the observed data -including measurement inaccuracy and representativeness as well as errors relating to data management -propagate to the signature v… Show more

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Cited by 153 publications
(151 citation statements)
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“…Since the hydrological signatures introduced so far do not explicitly consider low-and high-flow events, we defined high-and low-flow days using thresholds based on the median and mean daily flow, respectively (Clausen and Biggs, 2000;Olden and Poff, 2003;Westerberg and McMillan, 2015). We computed the average duration and average frequency of high-and low-flow events.…”
Section: Methodsmentioning
confidence: 99%
“…Since the hydrological signatures introduced so far do not explicitly consider low-and high-flow events, we defined high-and low-flow days using thresholds based on the median and mean daily flow, respectively (Clausen and Biggs, 2000;Olden and Poff, 2003;Westerberg and McMillan, 2015). We computed the average duration and average frequency of high-and low-flow events.…”
Section: Methodsmentioning
confidence: 99%
“…The runoff signatures are viewed in such a way that streamflow data can be broken up into several samples, each of them a manifestation of catchment functioning (Euser et al, 2013;Hrachowitz et al, 2014;Westerberg and McMillan, 2015). Five different signatures are used in this study and described in the following:…”
Section: Evaluation Strategy 321 Hydrological Signaturesmentioning
confidence: 99%
“…It is critical to systematically assess model performance across spatial and temporal scales to understand how model structure, parameterization, and hydroclimatic setting affect model performance. Furthermore, evaluation of model performance points out the need to understand the uncertainty of the observations used for model evaluation [Hamilton and Moore, 2012;McMillan et al, 2012;Westerberg and McMillan, 2015] as well as uncertainties in other water balance terms.…”
Section: Model Performance Uncertainty and Communication Of Resultsmentioning
confidence: 99%