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Soil-Water-Balance (SWB) model archive used to simulate potential annual recharge for the former Badger Army Ammunition Plant study area, Prairie du Sac, Wisconsin, 1980 to 2020.
This model archive makes available the U.S. Geological Survey Soil-Water-Balance (SWB) model created in support of a groundwater flow model of the former Badger Army Ammunition Plant in Sauk County, Wisconsin. The SWB model provides initial estimates of potential recharge to the groundwater system in the study area, which are used in a calibrated 3-dimensional MODFLOW (modular finite-difference flow) model. The SWB and MODFLOW models run from 1980 to 2020. The model incorporates changing land use, and changes reflecting the decomissioning of the plant (changing urban back to non-urbanized). SWB output is broken up into 50 model timesteps for the MODFLOW model.
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Soil-Water-Balance (SWB) model archive used to simulate potential annual recharge for the former Badger Army Ammunition Plant study area, Prairie du Sac, Wisconsin, 1980 to 2020.
공공데이터포털
This model archive makes available the U.S. Geological Survey Soil-Water-Balance (SWB) model created in support of a groundwater flow model of the former Badger Army Ammunition Plant in Sauk County, Wisconsin. The SWB model provides initial estimates of potential recharge to the groundwater system in the study area, which are used in a calibrated 3-dimensional MODFLOW (modular finite-difference flow) model. The SWB and MODFLOW models run from 1980 to 2020. The model incorporates changing land use, and changes reflecting the decomissioning of the plant (changing urban back to non-urbanized). SWB output is broken up into 50 model timesteps for the MODFLOW model.
Soil-Water-Balance (SWB) model archive used to simulate annual upland recharge from infiltration of precipitation and snowmelt in the Harney Basin, Oregon, 1982-2016
공공데이터포털
This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate upland recharge from infiltration of precipitation and snowmelt in the Harney Basin, Oregon, 1982-2016. The model was calibrated using annual values of runoff, evapotranspiration, and baseflow for eight watersheds in the basin. The Harney Basin SWB model was used to create output at the scale of 1-kilometer grid cells. The simulations were used to create daily grids of potential recharge. The calibrated SWB model and its use is described in the associated U.S. Geological Survey Scientific Investigations Report 2021–5128 (Garcia and others, 2022). 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.
Soil-Water-Balance (SWB) model archive used to simulate annual upland recharge from infiltration of precipitation and snowmelt in the Harney Basin, Oregon, 1982-2016
공공데이터포털
This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate upland recharge from infiltration of precipitation and snowmelt in the Harney Basin, Oregon, 1982-2016. The model was calibrated using annual values of runoff, evapotranspiration, and baseflow for eight watersheds in the basin. The Harney Basin SWB model was used to create output at the scale of 1-kilometer grid cells. The simulations were used to create daily grids of potential recharge. The calibrated SWB model and its use is described in the associated U.S. Geological Survey Scientific Investigations Report 2021–5128 (Garcia and others, 2022). 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.
Soil-Water-Balance (SWB) model archive used to simulate potential mean annual recharge in the Grand Canyon region, Arizona
공공데이터포털
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.
Soil-Water-Balance (SWB) model archive used to simulate potential mean annual recharge in the Grand Canyon region, Arizona
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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.
Soil-Water-Balance model data sets for the Cannon River drainage basin, southeast Minnesota, 1995-2010
공공데이터포털
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).
Soil-Water-Balance model data sets for the Cannon River drainage basin, southeast Minnesota, 1995-2010
공공데이터포털
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).
Soil-Water Balance model datasets used to estimate recharge for southeastern Minnesota, 2014-2018
공공데이터포털
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.
Soil-Water Balance model datasets used to estimate recharge for southeastern Minnesota, 2014-2018
공공데이터포털
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.
MODFLOW-NWT model of the Former Badger Army Ammunition Plant, Wisconsin
공공데이터포털
This model archive makes available a calibrated, transient MODFLODW-NWT model and a MODPATH7 particle-tracking model used to simulate the groundwater flow system at the former Badger Army Ammunition Plant, in Sauk County, Wisconsin, during 1984-2020. The development of the MODFLODW-NWT and MODPATH7 models are described in the associated U.S. Geological Survey Scientific Investigations Report 2023-5040. This model archive contains all the files needed to document and run the groundwater flow and particle-tracking models. The directories in the archive are each presented as a separate .zip file and include an a "bin" directory, a "georef" directory, a "model” directory, an "output" directory, and a "source" directory. There is also an “ancillary_pest” directory included in the archive that contains files used during the calibration of the flow model. There is a README file describing all the files and directories in the archive and information on how to run the model. Each primary directory also contains a README file which describes the contents of that directory.