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Hypothetico-inductive data-based mechanistic modeling of hydrological systems

Date

Authors

Young, Peter C

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

Keywords

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

URI

http://hdl.handle.net/1885/72552

Collections

ANU Research Publications

Source

Water Resources Research

Type

Journal article

DOI

10.1002/wrcr.20068

Restricted until

2037-12-31

Downloads

File

Description

01_Young_Hypothetico-inductive_2013.pdf (2.12 MB)

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