Hypothetico-inductive data-based mechanistic modeling of hydrological systems
Date
2013
Authors
Young, Peter C
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Publisher
American Geophysical Union
Abstract
The paper introduces a logical extension to data-based mechanistic (DBM) modeling, which provides hypothetico-inductive (HI-DBM) bridge between conceptual models, derived in a hypothetico-deductive manner, and the DBM model identified inductively from the
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Keywords: Diagnostic tests; Distributed models; Effective rainfall; Hydrological system; Mechanistic modeling; State-dependent parameters; Stochastic simulation model; Time-series data; Mathematical models; Water resources; Parameter estimation; conceptual framewor
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Source
Water Resources Research
Type
Journal article
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2037-12-31
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