2020
DOI: 10.1002/wat2.1499
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A review of hydrologic signatures and their applications

Abstract: Hydrologic signatures are quantitative metrics or indices that describe statistical or dynamical properties of hydrologic data series, primarily streamflow. Hydrologic signatures were first used in eco-hydrology to assess alterations in flow regime, and have since seen wide uptake across a variety of hydrological fields. Their applications include extracting biologically relevant attributes of streamflow data, monitoring hydrologic change, analyzing runoff generation processes, defining similarity between wate… Show more

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Cited by 95 publications
(73 citation statements)
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References 178 publications
(236 reference statements)
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“…Classical examples are recession curve analysis and flow duration curves or other hydrological signatures from observed discharges as indicators of storage change or effective volume in headwater catchments. This will, of course, be more informative where those signatures can be most easily be related to particular processes (via recession coefficients or time constants) and can be robust to uncertainties in the observations (Gupta et al, 2008; Di Baldassarre & Montanari, 2009; Wagener et al, 2007; Westerberg & McMillan, 2015; Westerberg et al, 2016; McMillan, 2021).…”
Section: Testing Perceptual Model Hypothesesmentioning
confidence: 99%
“…Classical examples are recession curve analysis and flow duration curves or other hydrological signatures from observed discharges as indicators of storage change or effective volume in headwater catchments. This will, of course, be more informative where those signatures can be most easily be related to particular processes (via recession coefficients or time constants) and can be robust to uncertainties in the observations (Gupta et al, 2008; Di Baldassarre & Montanari, 2009; Wagener et al, 2007; Westerberg & McMillan, 2015; Westerberg et al, 2016; McMillan, 2021).…”
Section: Testing Perceptual Model Hypothesesmentioning
confidence: 99%
“…Perhaps, however, given enough observations it might be possible to again define some limits of acceptability without resorting to the strong statistical assumptions of, for example, kriging interpolation that lack any link to how small‐scale heterogeneities interact nonlinearly in producing responses at larger scales. The use of hydrological signatures, for example, might help in this respect in that as summary variables there will be some effect of integrating over uncertainties in the observations (e.g., Coxon et al, 2014; McMillan, 2020). This would, of course, work best if those uncertainties were aleatory rather than epistemic with nonstationary bias in nature.…”
Section: Looking To the Futurementioning
confidence: 99%
“…Hydrologists use data to underpin the hydrologic system by identifying several unique catchment signatures and employ various flow descriptors independent of statistical assumptions yet capable of capturing signals that reflect the basin's long-term unique behavior. Hydrological indices, commonly referred to as hydrologic metrics, hydrologic signatures, or diagnostic signatures, are quantitative flow metrics that characterize statistical or dynamical hydrological data series (McMillan, 2021). Specifically, streamflow indices are flow descriptors derived from discharge time-series data, and a considerable collection of indices are available to aid in the better characterization of hydrological features, ranging from basic statistics like the mean to more sophisticated metrics (Addor et al, 2018;McMillan, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Hydrological indices, commonly referred to as hydrologic metrics, hydrologic signatures, or diagnostic signatures, are quantitative flow metrics that characterize statistical or dynamical hydrological data series (McMillan, 2021). Specifically, streamflow indices are flow descriptors derived from discharge time-series data, and a considerable collection of indices are available to aid in the better characterization of hydrological features, ranging from basic statistics like the mean to more sophisticated metrics (Addor et al, 2018;McMillan, 2021). In many cases, daily streamflow records are not permitted for redistribution; however, researchers have computed streamflow indices and made them publicly accessible.…”
Section: Introductionmentioning
confidence: 99%
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