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Models, Inputs, and Outputs for Estimating the Uncertainty of Discharge Simulations for the Lake Michigan Diversion Using the Hydrological Simulation Program - FORTRAN Model

Dates

Publication Date
Start Date
1991-10-05
End Date
2017-02-14

Citation

Over, T.M., Soong, D.T., and Sortor, R.N., 2022, Models, inputs, and outputs for estimating the uncertainty of discharge simulations for the Lake Michigan Diversion using the Hydrological Simulation Program - FORTRAN model: U.S. Geological Survey data release, https://doi.org/10.5066/P9UC21B0.

Summary

This data release contains the models and their inputs and outputs needed to reproduce the findings for the publication by Soong and Over (2022), "Effect of Uncertainty of Discharge Data on Uncertainty of Discharge Simulation for the Lake Michigan Diversion, Northeastern Illinois and Northwestern Indiana." These data were developed in cooperation with the U.S. Army Corps of Engineers, Chicago District, for the Lake Michigan Diversion Accounting program. Data are provided in four zip files and one MS Word file. The MS Word file 4.ReadMe.HSPF_Recalibrations_with_17TimeSeriesPairs.docx documents the recalibration of the Hydrological Simulation Program - FORTRAN (HSPF) model with discharge time series pairs that characterize the uncertainty [...]

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Attached Files

Click on title to download individual files attached to this item.

1.Executables.zip 34.22 MB application/zip
10.55 GB application/x-zip-compressed
3.BaseModel-ParameterUncertainty.zip 183.89 MB application/zip
5.HSPFsimulations.zip 24.56 MB application/zip
4.ReadMe.HSPF_Recalibrations_with_17TimeSeriesPairs.docx 23.87 KB application/vnd.openxmlformats-officedocument.wordprocessingml.document

Purpose

This data release documents the models and data used for a study of the effect of published discharge uncertainty on the uncertainty of discharge simulations using the Hydrological Simulation Program - FORTRAN model for the accounting of diversions from Lake Michigan.

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Provenance

The Hydrological Simulation Program - FORTRAN (HSPF) was developed by and is maintained by the U.S. Environmental Protection Agency. The HSPF models used in this study were built by the authors. The forcing (meteorological) data are from the U.S. Army Corps of Engineers, the National Oceanic and Atmospheric Administration, and the Illinois State Water Survey; the discharge data are from the U.S. Geological Survey's National Water Information System Database. The PEST software used for HSPF optimization was developed by John Doherty of Watermark Numerical Computing. The R scripts used for discharge uncertainty analysis were adapted from those provided with the paper by Mansanarez and others (2019, https://doi.org/10.1029/2018WR023389), who also provided the Markov chain Monte Carlo estimation engine used therein.

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9UC21B0

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