2021
DOI: 10.1002/wat2.1569
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Parameter estimation and uncertainty analysis in hydrological modeling

Abstract: Nowadays, mathematical models of hydrological systems are used routinely to guide decision making in diverse subjects, such as: environmental and risk assessments, design of remediation strategies for contaminated sites, and evaluation of the impact of climate change on water resources. The correct development and use of them is relevant beyond the realm of hydrology. The continuous improvement in computational power and data collection are leading to the development of increasingly complex models, which integ… Show more

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Cited by 79 publications
(34 citation statements)
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References 150 publications
(372 reference statements)
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“…To limit the potential for unphysical parameter combinations during calibration, which can quickly degrade the numerical stability of ISSHMs, it's strongly recommended to employ regularization (Alcolea et al., 2006, 2008; Doherty, 2003; Doherty & Hunt, 2010; Herrera et al., 2021). Here, stable and highly efficient hybrid subspace regularization (Tikhonov regularization combined with truncated singular value decomposition (SVD; Doherty et al., 2010; Tikhonov & Arsenin, 1977; Tonkin & Doherty, 2005)) was employed.…”
Section: Methodsmentioning
confidence: 99%
“…To limit the potential for unphysical parameter combinations during calibration, which can quickly degrade the numerical stability of ISSHMs, it's strongly recommended to employ regularization (Alcolea et al., 2006, 2008; Doherty, 2003; Doherty & Hunt, 2010; Herrera et al., 2021). Here, stable and highly efficient hybrid subspace regularization (Tikhonov regularization combined with truncated singular value decomposition (SVD; Doherty et al., 2010; Tikhonov & Arsenin, 1977; Tonkin & Doherty, 2005)) was employed.…”
Section: Methodsmentioning
confidence: 99%
“…As a minimum, it is expected that models are able to reproduce observed data and that their results can be used as reasonably approximations to evaluate future or hypothetical scenarios for groundwater systems. This requires the integration of observations and models through calibration [6][7][8][9]. Furthermore, it is generally also important to quantify the uncertainty of the model results in order to include it into the risk associated to decisions supported by them [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…Environmental tracers whose concentrations exhibit large oscillations in their amplitude and duration have a broad range of applications (Herrera et al, 2022b(Herrera et al, , 2022aMassoudieh, 2013;Thiros et al, 2021). As daily or weekly oscillations of a tracer are damped after a few meters of traveling through an aquifer (Brünjes et al, 2016), tracers with seasonal oscillations are more suitable for large-scale tracing (Molina-Giraldo et al, 2011).…”
Section: Introductionmentioning
confidence: 99%