2006
DOI: 10.1002/hyp.6179
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Physics-based hydrologic-response simulation: foundation for hydroecology and hydrogeomorphology

Abstract: Obviously, not all hydrologic-response simulations can (or should) be conducted with comprehensive physics-based models. Potentially the most effective use of physics-based simulation, related to hydroecology and hydrogeomorphology, is in the design of data collection strategies and identifying the next hypothesis-testing field experiment.

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Cited by 70 publications
(57 citation statements)
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References 17 publications
(1 reference statement)
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“…Loague et al 2006), have received wide attention and significant progress has been made with their development in recent years (Gaukroger and Werner 2011;Maxwell et al 2014). The software packages mentioned most often in the literature include ParFlow (Kollet and Maxwell 2006), HydroGeoSphere (Therrien et al 2009), InHM (VanderKwaak 1999, and OpenGeoSys ).…”
Section: Fully Coupled Schemesmentioning
confidence: 99%
“…Loague et al 2006), have received wide attention and significant progress has been made with their development in recent years (Gaukroger and Werner 2011;Maxwell et al 2014). The software packages mentioned most often in the literature include ParFlow (Kollet and Maxwell 2006), HydroGeoSphere (Therrien et al 2009), InHM (VanderKwaak 1999, and OpenGeoSys ).…”
Section: Fully Coupled Schemesmentioning
confidence: 99%
“…The understood goal of such models is to a priori predict surface and subsurface flows to stream channels as a result of rainfall and eventually snow-melt events with minimal pre-calibration. For example, one of the more widely tested, or calibrated physically-based watershed model is the "integrated watershed model", InHM, proposed by Loague et al [45]. This model is fundamentally based on the soil properties of the watershed as controlled by an arbitrarily thin surface-subsurface exchange layer.…”
Section: Summary and Conclusion-impacts On Watershed Modeling Effortsmentioning
confidence: 99%
“…The general objective in preparing this short communication was to further discuss and demonstrate the utility of hydrologic-response simulation for effectively examining field observations and, in certain situations, for making queries beyond the measured data (also see Loague and VanderKwaak, 2004;Ebel and Loague, 2006;Loague et al, 2006). The specific objective of this effort was to further assess the type of hydrologic-response data needed to rigorously test or evaluate both physics-based models and the theories upon which these models are based.…”
Section: Introductionmentioning
confidence: 98%