A previous soil-water balance (SWB) model [Smith and Westenbroek, 2015; http://dx.doi.org/10.3133/sir20155038) for Minnesota was updated to simulate potential recharge rates from 2014 to 2018. The previous model was developed to estimate mean annual potential recharge from 1995 to 2010. The updated model was also run with a newer version of the SWB model, also known as SWB version 2.0 {Westenbroek and others, 2018; https://doi.org/10.3133/tm6A59). The updated model was used to extract potential recharge rates for comparison to recharge rates calculated for two agricultural field sites in southeastern Minnesota, as part of the associated report, U.S. Geological Survey Scientific Investigations Report 2020-5006 (http://dx.doi.org/10.3133/sir20205006). The potential recharge rates were also used to simulate potential recharge rates for all of southeastern Minnesota from 2014-2018. For this model, the land-use grid was updated to the 2011 National Land Cover Database (NLCD); otherwise, the other input datasets and the lookup table were left unaltered from the original model. Daymet (version 3) daily surface weather data necessary for running this SWB model, including "prcp", "tmax", and "tmin", can be downloaded from this SWB model archive. Alternatively, the Daymet v3 are available upon request through the following link: https://doi.org/10.3334/ORNLDAAC/1328.

A soil-water balance model (SWB) was developed to estimate potential recharge and surface runoff for portions of the Cannon River drainage basin, southeast Minnesota, for the period 1995 through 2010. The model was used in the creation of Cannon River streamflow distribution maps, as part of the associated report, U.S. Geological Survey Scientific Investigations Map 2017-3390 (http://dx.doi.org/10.3133/SIM20173390). This SWB model was calibrated using three independent hydrograph separation models: PART, Hysep-fixed, and Hysep-sliding method. The basic framework for this model was the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038).

A soil-water balance model (SWB) was developed to estimate potential recharge and surface runoff for portions of the Cannon River drainage basin, southeast Minnesota, for the period 1995 through 2010. The model was used in the creation of Cannon River streamflow distribution maps, as part of the associated report, U.S. Geological Survey Scientific Investigations Map 2017-3390 (http://dx.doi.org/10.3133/SIM20173390). This SWB model was calibrated using three independent hydrograph separation models: PART, Hysep-fixed, and Hysep-sliding method. The basic framework for this model was the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038).

A soil-water balance model (SWB) was developed to estimate potential recharge to the Interstate 94 Corridor surficial aquifer, located in central Minnesota, for the period 2010 through 2014. The model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates. Furthermore, the model was based upon the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038). The model was used to estimate recharge to the surficial aquifer system as part of a preliminary water budget exercise described in the associated report (http://dx.doi.org/10.3133/sir20175114).

A soil-water balance model (SWB) was developed to estimate potential recharge to the Interstate 94 Corridor surficial aquifer, located in central Minnesota, for the period 2010 through 2014. The model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates. Furthermore, the model was based upon the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038). The model was used to estimate recharge to the surficial aquifer system as part of a preliminary water budget exercise described in the associated report (http://dx.doi.org/10.3133/sir20175114).

A water table fluctuation model simulated potential recharge rates from 2016 to 2018 for two agricultural sites in southeastern Minnesota. The model calculated potential recharge rates through the analysis of groundwater rises. A total of 42 piezometers were analyzed for this study using the water table fluctuation model. This methodology of calculating potential recharge rates was used as an independent method from two other methods: a soil-water-balance model (https://doi.org/10.5066/P90N4AWG), and DRAINMOD (https://doi.org/10.5066/P987N30U).

A water table fluctuation model simulated potential recharge rates from 2016 to 2018 for two agricultural sites in southeastern Minnesota. The model calculated potential recharge rates through the analysis of groundwater rises. A total of 42 piezometers were analyzed for this study using the water table fluctuation model. This methodology of calculating potential recharge rates was used as an independent method from two other methods: a soil-water-balance model (https://doi.org/10.5066/P90N4AWG), and DRAINMOD (https://doi.org/10.5066/P987N30U).

This model archive contains the Soil-Water-Balance (SWB) model used to simulate potential mean annual recharge in the Grand Canyon region for 1981 through 2016. The simulated results are described in the associated U.S. Geological Survey Scientific Investigations Report 2022-xxxx. The model archive includes all the necessary files to document and run the SWB model and process the results as displayed in the accompanying report. The directories in the archive are presented each as a separate .zip file and include an "ancillary" directory, a "bin" directory, a "georef" directory, a "model directory, an "output" directory, and a "source" directory. There is a README file describing all the files and directories in the archive and information on how to run the model.

This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate potential recharge for the State of Maine for 1991 to 2015. The model was calibrated using annual values of runoff, evapotranspiration, and recharge for 32 watersheds in the State. The simulations were used to create 25-year statistical grids of annual potential recharge (mean, median, minimum, and maximum), and the uncertainty around these grids. The calibrated SWB model and its use is described in the associated U.S. Geological Survey Scientific Investigations Report 2019–5125. The Maine SWB model was used to create output at two different scales: 250-meter and 500-meter grid cells. The calibration and uncertainty analysis were carried out at the 500-m grid size, and the final model runs were done at the 250-m grid size. The model archive includes all the files used in the calibration and uncertainty runs, which are described in the accompanying Scientific Investigations Report 2019–5125. The directory structure of the model archive contains all the files needed to document and run the model. The directories in the archive are presented each as a separate .zip file and include an "ancillary" directory, a "bin" directory, a "georef" directory, a "model directory, an "output" directory, and a "source" directory. There is a README file describing all the files and directories in the archive and information on how to run the model. Each primary folder also contains a README file describing the contents.

This set of data includes four potential annual recharge grids for the State of Maine that were simulated using the Maine Soil-Water-Balance model for 1991 through 2015. The files include a grid representing the uncertainty in the potential recharge and a grid showing the annual average precipitation from the climate dataset that the simulation is based on. A 25-year simulation of potential recharge to groundwater from the Maine Soil-Water-Balance model for the years 1991 to 2015 produced annual results from which the four potential recharge grids were derived. The four are: 25-year mean, median, maximum, and minimum simulated annual potential. A data exclusion zone (see Scientific Investigations Report 2019–5125) has been applied to the recharge datasets, resulting in a dataset that covers most, but not all, of the State of Maine. The potential recharge grids are given in units of inches per year, with a raster grid cell size of 250 meters. The uncertainty in the simulated grid values is the standard deviation grid, which represents the standard deviation of the simulated median recharge grid. The precipitation data used in the 25-year simulation are from DayMet version 3 daily data. The average annual precipitation grid is the calculated annual average from those data. Further details about the generation and application of the data can be found in Scientific Investigations Report 2019–5125.