Model archive - Regional regression models for estimating flood frequency characteristics of unregulated streams in Wisconsin
January 3, 2023
This model archive contains R source code for the Weighted-Multiple Linear Regression Program (WREG), input files, and associated output files needed to recreate regression models that are discussed in the report: Levin, S.B. and Sanocki, C.A., Methods for estimating flood magnitude and frequency for unregulated streams in Wisconsin, U.S. Geological Survey Scientific Investigations Report 2022-5118 (https://doi.org/10.3133/sir20225118). More information and instructions for running the model archive are included in the README.txt file. Information regarding the WREG program can be found at: https://water.usgs.gov/software/WREG/.
Citation Information
| Publication Year | 2023 |
|---|---|
| Title | Model archive - Regional regression models for estimating flood frequency characteristics of unregulated streams in Wisconsin |
| DOI | 10.5066/P9JVO8QV |
| Authors | Sara B Levin |
| Product Type | Data Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Upper Midwest Water Science Center |
| Rights | This work is marked with CC0 1.0 Universal |
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Estimating flood magnitude and frequency for unregulated streams in Wisconsin
Flood frequency characteristics and estimated flood discharges for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities were computed at 299 streamgaged locations in Wisconsin. The State was divided into four flood frequency regions using a cluster analysis to produce regions which are homogeneous with respect to physical basin characteristics. Regression...
Authors
Sara B. Levin, Christopher A. Sanocki
Related
Estimating flood magnitude and frequency for unregulated streams in Wisconsin
Flood frequency characteristics and estimated flood discharges for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities were computed at 299 streamgaged locations in Wisconsin. The State was divided into four flood frequency regions using a cluster analysis to produce regions which are homogeneous with respect to physical basin characteristics. Regression...
Authors
Sara B. Levin, Christopher A. Sanocki