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A comparison of four streamflow record extension techniques

Water Resources Research

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ORCID iD
https://doi.org/10.1029/WR018i004p01081

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Abstract

One approach to developing time series of streamflow, which may be used for simulation and optimization studies of water resources development activities, is to extend an existing gage record in time by exploiting the interstation correlation between the station of interest and some nearby (long-term) base station. Four methods of extension are described, and their properties are explored. The methods are regression (REG), regression plus noise (RPN), and two new methods, maintenance of variance extension types 1 and 2 (MOVE.l, MOVE.2). MOVE.l is equivalent to a method which is widely used in psychology, biometrics, and geomorphology and which has been called by various names, e.g., ‘line of organic correlation,’ ‘reduced major axis,’ ‘unique solution,’ and ‘equivalence line.’ The methods are examined for bias and standard error of estimate of moments and order statistics, and an empirical examination is made of the preservation of historic low-flow characteristics using 50-year-long monthly records from seven streams. The REG and RPN methods are shown to have serious deficiencies as record extension techniques. MOVE.2 is shown to be marginally better than MOVE.l, according to the various comparisons of bias and accuracy.

Additional publication details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
A comparison of four streamflow record extension techniques
Series title:
Water Resources Research
DOI:
10.1029/WR018i004p01081
Volume:
18
Issue:
4
Year Published:
1982
Language:
English
Publisher:
American Geophysical Union
Description:
8 p.
First page:
1081
Last page:
1088