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An analysis of input errors in precipitation- runoff models using regression with errors in the independent variables ( Turtle Creek, Dallas, Texas).

Water Resources Research

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Abstract

Errors in runoff prediction caused by input data errors are analyzed by treating precipitation-runoff models as regression (conditional expectation) models. Independent variables of the regression consist of precipitation and other input measurements; the dependent variable is runoff. In models using erroneous input data, prediction errors are inflated and estimates of expected storm runoff for given observed input variables are biased. A case study using a set of data from Turtle Creek near Dallas, Texas illustrates the problems of model input errors. -from Author

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
An analysis of input errors in precipitation- runoff models using regression with errors in the independent variables ( Turtle Creek, Dallas, Texas).
Series title:
Water Resources Research
Volume
18
Issue:
4
Year Published:
1982
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
947
Last page:
964
Number of Pages:
18