The dataset supported findings in the study: "Evaluation of SWAT reservoir, ponds, and wetlands tools in water and sediment simulation in the Rock River watershed". Results of this study demonstrate the impact of impoundments in SWAT modeling.The dataset includes sources of the SWAT input data. This dataset is associated with the following publication: Jalowska, A., and Y. Yuan. Evaluation of SWAT Impoundment Modeling Methods in Water and Sediment Simulations. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 55(1): 209-227, (2019).

This U.S. Geological Survey (USGS) data release contains model scenario input and output files and nine hydrology and water-quality models developed using the Soil and Water Assessment Tool (SWAT). The models represent nine watersheds in eastern New York that drain to Lake Erie or the Niagara River and were created, calibrated, and validated for hydrology, sediment, and nutrients as baseline scenarios. Twenty-six additional scenarios were created to explore the effects of agricultural and urban best management practices, point source discharges, and green infrastructure on the water quality of tributaries to Lake Erie/Niagara River. Model documentation and scenario development are described in Merriman and others (2024).

This U.S. Geological Survey (USGS) data release contains model scenario input and output files and nine hydrology and water-quality models developed using the Soil and Water Assessment Tool (SWAT). The models represent nine watersheds in eastern New York that drain to Lake Erie or the Niagara River and were created, calibrated, and validated for hydrology, sediment, and nutrients as baseline scenarios. Twenty-six additional scenarios were created to explore the effects of agricultural and urban best management practices, point source discharges, and green infrastructure on the water quality of tributaries to Lake Erie/Niagara River. Model documentation and scenario development are described in Merriman and others (2024).

The Water Availability Tool for Environmental Resources (WATER-KY; Williamson and others, 2009) provides the ability to simulate streamflow for ungaged basins. This model integrates TOPMODEL (Beven and Kirkby, 1979) for pervious portions of the landscape with simulation of flow generated from impervious surfaces (USDA, 1986). A restructured version of this decision support tool translates the abilities of WATER to a format that can be used without proprietary software (Williamson and others, 2021). Additional functionality has also been added to include hydrologic response units (HRUs) that are defined based on three fundamental land-use categories: forest, agricultural land, and developed areas, based on subsequent development of WATER for the Delaware River Basin (Williamson and others, 2015). This refinement for agricultural areas, combined with the new software environment that enables easy substitution of precipitation and temperature data was used to develop a method focused on recent conditions in order to simulate daily peak streamflow for forecasted precipitation totals as well as the associated stage in order to identify if flood conditions are possible. Beven, K.J., and Kirkby, M.J., 1979, A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant: Hydrological Sciences Bulletin v. 24, p. 43-69, https://doi.org/10.1080/02626667909491834. U.S. Department of Agriculture [USDA], 1986, Urban hydrology for small watersheds: Natural Resources Conservation Service, Conservation Engineering Division, Technical Release 55, Revised June 1986, Update of Appendix A January 1999, https://www.nrc.gov/docs/ML1421/ML14219A437.pdf. Williamson, T.N., Hoefling, D.J., Headman, A.O., and Gerzan, M.N., 2021, Water Availability Tool for Environmental Resources for the Commonwealth of Kentucky updated for 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9AQH027. Williamson, T.N., Lant, J.G., Claggett, P.R., Nystrom, E.A., Milly, P.C.D., Nelson, H.L., Hoffman, S.A., Colarullo, S.J., and Fischer, J.M., 2015, Summary of hydrologic modeling for the Delaware River Basin using the Water Availability Tool for Environmental Resources (WATER): U.S. Geological Survey Scientific Investigations Report 2015–5143, 68 p., https://doi.org/10.3133/sir20155143. Williamson, T.N., Odom, K.R., Newson, J.K., Downs, A.C., Nelson Jr., H.L., Cinotto, P.J., and Ayers, M.A., 2009, The Water Availability Tool for Environmental Resources (WATER)—A water-budget modeling approach for managing water-supply resources in Kentucky—Phase I—Data processing, model development, and application to non-karst areas:U.S. Geological Survey Scientific Investigations Report 2009–5248, 34 p., https://doi.org/10.3133/sir20095248.

The Soil Water Assessment Tool (SWAT) model was used to simulate the hydrologic response of a watershed in south-central Texas within the Honey Creek State Natural Area for the time period 2001 to 2010; the simulation was focused on simulating the hydrologic outcomes of brush management. Specifically a SWAT2012 (Arnold et al., 2012) model of the watershed was built using the ArcSWAT tool (Winchell et al., 2007). Included are the necessary files and processing scripts for users to recreate the Monte Carlo and global sensitivity analysis results presented in the publication. Note the actual outputs from the analyses are not included herein because of storage size limitations. The results of the SWAT modeling are presented in the publication "The importance of parameterization when simulating the hydrologic response of vegetative land-use change" by White, Stengel, Rendon and Banta (2017). Arnold,J.G., Moriasi, D.N., Gassman, P.W., Abbaspour, K.C., White, M.J., Srinivasan, Raghavan, Santhi,Chinnasamy, Harmel,R.D., Van Griensven, Ann, Van, M.W., Liew, et al. Swat—Model use, calibration, and validation. Transactions of the ASABE, v.55,no.4, 1491–1508, 2012 Winchell, M., Srinivasan, Raghavan, Di Luzio, M., and Arnold, J.G., ArcSWAT interface for swat2005 user's guide. Texas Agricultural Experiment Station and United States Department of Agriculture, Temple, TX, 2007.

Supporting information for "River basin simulations reveal wide-ranging wetland-mediated nitrate load reductions". Supporting information includes the calibrated baseline model and the modified Soil and Water Assessment Tool (SWAT) source code and executable file. The supporting information also provides metadata -- and download links -- for the model input and output files for all model runs described in the manuscript. This dataset is associated with the following publication: Evenson, G., H. Golden, J. Christensen, C. Lane, M. Kalcic, A. Rajib, Q. Wu, D.T. Mahoney, E. White, and E. D'Amico. River Basin Simulations Reveal Wide-Ranging Wetland-Mediated Nitrate Reductions. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 27(26): 9822-9831, (2023).

This model archive data release includes all models used to characterize the magnitude, spatial distribution and timing of groundwater (GW) flow through lakebed sediments to Upper Klamath Lake (UKL), Oregon, described in the associated journal article (https://doi.org/10.1016/j.scitotenv.2020.142768). One-dimensional vertical models of GW flow (MODFLOW-2005) and solute transport (MT3D-USGS) were calibrated (UCODE) to 2014 observed dissolved silica (Si, 0.2-micron filtered) porewater concentrations in the upper 0.1 m of lakebed sediment to estimate GW flow and Si exchange across the lakebed interface. The Si-based calibrated GW flow rates were then used in conjunction with observed dissolved phosphate-phosphorus (PP) porewater concentrations in the upper 0.1 m of lakebed sediment to estimate the amount of PP reacted during upward flow through the lakebed sediment and the PP discharge to the lake. One-dimensional, vertical GW flow and heat transport models (VS2DH) were calibrated (UCODE) to 2015 and 2017 observed lakebed temperatures to provide estimates of GW-inflow rates at multiple UKL locations. Calibrated GW inflows were greatest in the spring and decreased through the summer. The magnitude and timing of the GW-lake water exchange estimates obtained from these methods were compared to rates obtained from a generalized cross-sectional GW flow model (MODFLOW-NWT) with time-varying recharge. The cross-sectional GW flow model demonstrated that snow-melt GW recharge could be transported rapidly to the lake due to the relatively high permeability and low specific storage of the surrounding volcanic rocks explaining the greater GW discharge to the lake in the spring. This USGS data release contains all the input and output files for the simulations described in the associated journal article (https://doi.org/10.1016/j.scitotenv.2020.142768).

The data are: 1) compilation of field observed nutrient and hydrometeorological data for the Upper Fish River Watershed (UFRW); 2) wetland and GIS data downloaded from national repositories for UFRW; 3) wetland nutrient data generated by the models for the UFRW; 4) output data (nutrient loads and removal rates) produced by the SWAT-WetQual (watershed-wetland) model framework for the UFRW; 5) global wetland nutrient function data obtained from literature; and 6) model data used in developing statistical regression relationships for nutrient removal rates and efficiencies. Nutrients: Nitrate and Orthophosphate.

The data are: 1) compilation of field observed nutrient and hydrometeorological data for the Upper Fish River Watershed (UFRW); 2) wetland and GIS data downloaded from national repositories for UFRW; 3) wetland nutrient data generated by the models for the UFRW; 4) output data (nutrient loads and removal rates) produced by the SWAT-WetQual (watershed-wetland) model framework for the UFRW; 5) global wetland nutrient function data obtained from literature; and 6) model data used in developing statistical regression relationships for nutrient removal rates and efficiencies. Nutrients: Nitrate and Orthophosphate.

A hydrodynamic, water-temperature, and water-quality model (CE-QUAL-W2; Wells, 2020) of the Link-Keno reach of the Klamath River (Oregon) was used for calendar years 2006–15 to run a series of base and recirculation scenarios. These model runs were implemented to test alternative scenarios for routing some of the Klamath Straits Drain discharge into Ady Canal. The model scenarios were configured for baseline conditions and three different sets of recirculation scenarios, including the maximum year-round recirculation without discharge limits (scenario 1), limited year-round recirculation fixed by the current pipe flow configuration from Klamath Straits Drain into Ady Canal (scenario 2), and limited seasonal recirculation (May-September), also fixed by the current pipe flow configuration (scenario 3). For calendar years 2012–15, a separate CE-QUAL-W2 model for the Klamath Straits Drain was used in lieu of the Klamath Straits Drain as a tributary directly into the Link-Keno reach of the Klamath River CE-QUAL-W2 model. Original calibration and simulation of the Klamath Straits Drain model was documented in Sullivan and Rounds (2018). Original calibration and simulation of the Link-Keno reach of the Klamath River was documented in Sullivan and others (2011). These recirculation scenarios will be used by the United States Bureau of Reclamation to better understand the effects of recirculating Klamath Straits Drain discharge into Ady Canal on constituent loads of total nitrogen, total phosphorus, and the 5-day biochemical oxygen demand (BOD5).