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Physics‐based hydrologic response simulation: platinum bridge, 1958 Edsel, or useful tool

Physics‐based hydrologic response simulation: platinum bridge, 1958 Edsel, or useful tool Keith Loague* Joel E. VanderKwaak Department of Geological and Environmental Sciences, Stanford University, Stanford, CA, USA *Correspondence to: Keith Loague, Department of Geological and Environmental Sciences, Stanford University, Stanford, CA 94305-2115, USA. E-mail: keith@pangea.stanford.edu The aim of a model is, of course, precisely not to reproduce reality in all its complexity. It is rather to capture in a vivid, often formal, way what is essential to understanding some aspect of its structure or behavior. . .. We select, for inclusion in our model, those features of reality that we consider to be essential to our purpose . . . the ultimate criteria, being based on intentions and purposes as they must be, are finally determined by the individual, that is, human, modeler. Joseph Weizenbaum (1976) There are Lots (and Lots) of Rainfall-Runoff Models Clarke (1973) generalizes a mathematical rainfall-runoff model by qt = f(pt−1 , pt−2 , . . . ; qt−1 , qt−2 , . . . ; a1 , a2 , . . .) + xt (1) where pt are the input variables, qt are the output variables, an are the system parameters, x t is the residual error, and f is the functional form of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Hydrological Processes Wiley

Physics‐based hydrologic response simulation: platinum bridge, 1958 Edsel, or useful tool

Loague, Keith; VanderKwaak, Joel E.
Hydrological Processes , Volume 18 (15) – Oct 30, 2004
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References (83)

Publisher
Wiley
Copyright
Copyright © 2004 John Wiley & Sons, Ltd.
ISSN
0885-6087
eISSN
1099-1085
DOI
10.1002/hyp.5737
Publisher site
See Article on Publisher Site

Abstract

Keith Loague* Joel E. VanderKwaak Department of Geological and Environmental Sciences, Stanford University, Stanford, CA, USA *Correspondence to: Keith Loague, Department of Geological and Environmental Sciences, Stanford University, Stanford, CA 94305-2115, USA. E-mail: keith@pangea.stanford.edu The aim of a model is, of course, precisely not to reproduce reality in all its complexity. It is rather to capture in a vivid, often formal, way what is essential to understanding some aspect of its structure or behavior. . .. We select, for inclusion in our model, those features of reality that we consider to be essential to our purpose . . . the ultimate criteria, being based on intentions and purposes as they must be, are finally determined by the individual, that is, human, modeler. Joseph Weizenbaum (1976) There are Lots (and Lots) of Rainfall-Runoff Models Clarke (1973) generalizes a mathematical rainfall-runoff model by qt = f(pt−1 , pt−2 , . . . ; qt−1 , qt−2 , . . . ; a1 , a2 , . . .) + xt (1) where pt are the input variables, qt are the output variables, an are the system parameters, x t is the residual error, and f is the functional form of

Journal

Hydrological Processes – Wiley

Published: Oct 30, 2004

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