An operational GLS model for hydrologic regression
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Abstract
Recent Monte Carlo studies have documented the value of generalized least squares (GLS) procedures to estimate empirical relationships between streamflow statistics and physiographic basin characteristics. This paper presents a number of extensions of the GLS method that deal with realities and complexities of regional hydrologic data sets that were not addressed in the simulation studies. These extensions include: (1) a more realistic model of the underlying model errors; (2) smoothed estimates of cross correlation of flows; (3) procedures for including historical flow data; (4) diagnostic statistics describing leverage and influence for GLS regression; and (5) the formulation of a mathematical program for evaluating future gaging activities.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | An operational GLS model for hydrologic regression |
| Series title | Journal of Hydrology |
| DOI | 10.1016/0022-1694(89)90268-0 |
| Volume | 111 |
| Issue | 1-4 |
| Year Published | 1989 |
| Language | English |
| Publisher | Elsevier |
| Description | 15 p. |
| First page | 361 |
| Last page | 375 |