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Errors and parameter estimation in precipitation-runoff modeling: 1. Theory

Water Resources Research

By:
https://doi.org/10.1029/WR021i008p01195

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Abstract

Errors in complex conceptual precipitation-runoff models may be analyzed by placing them into a statistical framework. This amounts to treating the errors as random variables and defining the probabilistic structure of the errors. By using such a framework, a large array of techniques, many of which have been presented in the statistical literature, becomes available to the modeler for quantifying and analyzing the various sources of error. A number of these techniques are reviewed in this paper, with special attention to the peculiarities of hydrologic models. Known methodologies for parameter estimation (calibration) are particularly applicable for obtaining physically meaningful estimates and for explaining how bias in runoff prediction caused by model error and input error may contribute to bias in parameter estimation.

Additional publication details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Errors and parameter estimation in precipitation-runoff modeling: 1. Theory
Series title:
Water Resources Research
DOI:
10.1029/WR021i008p01195
Volume:
21
Issue:
8
Year Published:
1985
Language:
English
Publisher:
American Geophysical Union
Description:
19 p.
First page:
1195
Last page:
1213