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Jesse E Dickinson

This code computes the analytical solution for the damping of sinusoidal infiltration in variably saturated soils described by Bakker and Neiber (2009) and implemented by Dickinson et al. (2014). The usage of the code is documented in the appendix of Dickinson et al. (2014). Bakker, M., Nieber, J.L., 2009. Damping of sinusoidal surface flux fluctuations with soil depth. Vadose Zone J. 8, 119–126,http://dx.doi.org/10.2136/vzj2008.0084. Dickinson, J.E., Ferré, T.P.A., Bakker, M., Crompton, B., 2014. A screening tool for delineating subregions of steady recharge within groundwater models.Vadose Zone J. 13, 15, http://dx.doi.org/10.2136/vzj2013.10.0184. The code can be obtained at http://az.water.usgs.gov/software/damp.html
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This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Water Model Retrospective (v2.1) at streamflow benchmark locations defined by Foks and others (2022). Modeled hourly timesteps were converted to mean daily timesteps. Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent bias in flow duration curve midsegment slope, the percent...
Predictive Understanding of Multiscale Processes: IWP-PUMP-DRB Integrated Modeling
This site is for data and information compilation and sharing related to the work of the DRB Integrated Modeling effort of the Predictive Understanding of Multiscale Processes (PUMP) project. PUMP is advancing multi-scale, integrated modeling capabilities to address priority water resource issues within the Integrated Water Prediction (IWP) program, Integrated Water Science (IWS) Basin studies, Integrated Water Availability Assessments (IWAAs), and other relevant Water Mission Area (WMA) project efforts. Development and testing of modeling approaches occurs at multiple scales spanning national and sub-national domains.  Models will leverage physical process-driven approaches, data-driven approaches (statistical...
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A list of stream gages within the conterminous United States that will serve as the initial list of sites (version 1.0) used for streamflow benchmarking of hydrologic models. Sites within this list were chosen based on their presence in the GAGES-II dataset, their availability of modeled streamflow data from the most recent version of the National Hydrologic Model application of Precipitation-Runoff Modeling System v1.0, and their availability of modeled streamflow data from the most recent version of the NOAA National Water Model application of WRF-hydro version 2.1 retrospective dataset.
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Attributions for nonstationary peak streamflow records in the Southwest region, 1941-2015 and 1966-2015, and supporting information
Southwest (SW) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains comma separated value (csv) files to support the attribution of changes in peak streamflow in the southwestern U.S. to changes in precipitation, temperature, and timing of peak runoff. The peak streamflow is the maximum instantaneous flow during a water year from October 1st to September 30th of the next year. The dataset contains results for only the streamgages that were identified to have significant trends and change points for periods...
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