An expanding effort exists to estimate discharge of rivers utilizing remote sensing measurements. The goal of this investigation is to evaluate the uncertainty associated with estimating streamflow using remote sensing practices. This data release contains in-situ observations of river width, depth, velocity, and discharge from 30 U.S. Geological Survey (USGS) gaged study reaches (USGSGagedTestSiteMeasurements.csv) obtained from the USGS National Water Information System (NWIS) Surface Water Field Measurements to assess the uncertainty associated with estimating discharge using a modified Manning's equation model. The R code (CalibrationObservationsExp_sampleRandomDF.R) was used to randomly sample observations for user defined sample sizes to test uncertainty related to calibration with limited observations. The ExperimentInputFiles zip file contains a subset of the USGS gaged observation dataset that served as input values to the attached R code found in the R_Script zip file. Geomorphic characteristics (parameters.csv) of the study reaches and associated drainage basins were used to investigate relations between site conditions and accuracy of discharge estimates obtained using the modified Manning's equation. Surface water height and slope data from the Tanana River near Fairbanks, Alaska (TananaRiver_Fairbanks_DynamicSurfaceWaterSlope.csv) were used to assess the influence of static and dynamic slope values on estimating discharge.

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 of the published daily discharge at the two U.S. Geological Survey (USGS) streamgages, analyzed in 2.PubQUncertaintyEst.zip. It also points to data included in four zip files. The zip files provide the inputs, scripts and other executables, and sample outputs from the model archive for the publication. In addition, the zip files document the executables (1.Executables.zip) and the following modeling tasks: 2.PubQUncertaintyEst.zip - Estimation of the uncertainty of published daily discharge at two USGS streamgages; 3.BaseModel-ParameterUncertainty.zip - Estimation of the parameters of the base HSPF model; and 5.HSPFsimulations.zip - Simulations of discharge with HSPF for the nine study watersheds.

This dataset includes depth and position measurements to estimate the cross-sectional geometry at sites in small streams throughout the United States.

This dataset includes depth and position measurements to estimate the cross-sectional geometry at sites in small streams throughout the United States.

This dataset includes depth and position measurements to estimate the cross-sectional geometry at sites in small streams throughout the United States.

This dataset includes depth and position measurements to estimate the cross-sectional geometry at sites in small streams throughout the United States.

This dataset includes depth and position measurements to estimate the cross-sectional geometry at sites in small streams throughout the United States.

This dataset includes depth and position measurements to estimate the cross-sectional geometry at sites in small streams throughout the United States.

This dataset includes depth and position measurements to estimate the cross-sectional geometry at sites in small streams throughout the United States.

This dataset includes depth and position measurements to estimate the cross-sectional geometry at sites in small streams throughout the United States.