A soil-water balance model (SWB) was developed to estimate recharge to the groundwater flow system in Florida and parts of Georgia, Alabama, and South Carolina for the period 1995 through 2010. The model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates. The model was used to estimate recharge to the groundwater flow system as part of a preliminary water budget exercise described in the associated report (http://doi.org/10.3133/sir20185030).

A soil-water balance model (SWB) was developed to estimate potential recharge and irrigation water demand from the groundwater flow system in Florida and parts of Georgia, Alabama, and South Carolina for the period 1895 through 2010. This SWB model executable code detailed in the report SWB—A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge; Chapter 31 of Section A, Groundwater, of Book 6, Modeling Techniques By S.M. Westenbroek, V.A. Kelson,W.R. Dripps,R.J. Hunt, and K.R. Bradbury (https://pubs.usgs.gov/tm/tm6-a31/) The SWB model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates including irrigation pumpage quantities reported by the States of Florida and Georgia. Irrigation water demand for 6 crop types (citrus, field crops, hay, sod, sugar cane, and vegetables) were calculated for the period 1950-2010. This USGS data release contains all of the input and output files except climate data for the simulations described in this data release. Due to size limitations climate data used in the production of this model are not included in this archive, URLs to locate the climate data are included.

A soil-water balance model (SWB) was developed to estimate potential recharge and irrigation water demand from the groundwater flow system in Florida and parts of Georgia, Alabama, and South Carolina for the period 1895 through 2010. This SWB model executable code detailed in the report SWB—A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge; Chapter 31 of Section A, Groundwater, of Book 6, Modeling Techniques By S.M. Westenbroek, V.A. Kelson,W.R. Dripps,R.J. Hunt, and K.R. Bradbury (https://pubs.usgs.gov/tm/tm6-a31/) The SWB model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates including irrigation pumpage quantities reported by the States of Florida and Georgia. Irrigation water demand for 6 crop types (citrus, field crops, hay, sod, sugar cane, and vegetables) were calculated for the period 1950-2010. This USGS data release contains all of the input and output files except climate data for the simulations described in this data release. Due to size limitations climate data used in the production of this model are not included in this archive, URLs to locate the climate data are included.

Groundwater recharge is an important part of water budget estimation and is a critical data component used in creating and calibrating groundwater flow models such as MODFLOW. Soil Water Balance Models (SWB) can be used to estimate potential groundwater recharge across spatial domains and through time. This metadata record describes an SWB archive for parts of the Coastal Plain of North Carolina, South Carolina, and Georgia, eastern United States. The model was run for various land cover build out scenarios and several downscaled climate models (SWB) The model’s pixel resolution is 609.9-meters (m) and it was run for the for the period 1979 - 2060. The SWB model executable code is detailed in the report SWB—A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge; Chapter 31 of Section A, Groundwater, of Book 6, Modeling Techniques By S.M. Westenbroek, V.A. Kelson,W.R. Dripps,R.J. Hunt, and K.R. Bradbury (https://pubs.usgs.gov/tm/tm6-a31/) The SWB model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates. Due to size limitations climate data used in the production of this model are not included in this archive, URLs to locate the climate data are included.

Groundwater recharge is an important part of water budget estimation and is a critical data component used in creating and calibrating groundwater flow models such as MODFLOW. Soil Water Balance Models (SWB) can be used to estimate potential groundwater recharge across spatial domains and through time. This metadata record describes an SWB archive for parts of the Coastal Plain of North Carolina, South Carolina, and Georgia, eastern United States. The model was run for various land cover build out scenarios and several downscaled climate models (SWB) The model’s pixel resolution is 609.9-meters (m) and it was run for the for the period 1979 - 2060. The SWB model executable code is detailed in the report SWB—A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge; Chapter 31 of Section A, Groundwater, of Book 6, Modeling Techniques By S.M. Westenbroek, V.A. Kelson,W.R. Dripps,R.J. Hunt, and K.R. Bradbury (https://pubs.usgs.gov/tm/tm6-a31/) The SWB model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates. Due to size limitations climate data used in the production of this model are not included in this archive, URLs to locate the climate data are included.

A soil-water balance model (SWB) was developed to estimate potential recharge to the groundwater system in Brunswick, New Hanover, and Pender counties North Carolina 1980 through 2016 to support a regional groundwater flow model being produced for the surficial, Castle Hayne, and Peedee Aquifer System. The SWB model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates including evapotranspiration rates reported by NASA's MODIS (Moderate Resolution Imaging Spectroradiometer) satellite platform. This USGS data release contains all the input and output files for the simulations described in this data release.

A soil-water balance model (SWB) was developed to estimate potential recharge to the groundwater system in Brunswick, New Hanover, and Pender counties North Carolina 1980 through 2016 to support a regional groundwater flow model being produced for the surficial, Castle Hayne, and Peedee Aquifer System. The SWB model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates including evapotranspiration rates reported by NASA's MODIS (Moderate Resolution Imaging Spectroradiometer) satellite platform. This USGS data release contains all the input and output files for the simulations described in this data release.

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 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.

This USGS Data Release represents Soil-Water Balance (SWB) groundwater infiltration modeling results for the Lower Colorado River Basin (LCRB). The data release was produced in compliance with 'open data' requirements as a way to make the scientific data associated with USGS research efforts and publications available to the public. There are 3 separate groups of datasets associated with this Data Release: 1. SWB model results from simulations run using projected climate data, summarized by month from 1950 through 2099, for the LCRB within the United States 2. SWB model results from simulations run using projected climate data, summarized by month from 1950 through 2099, for the Grand Canyon region 3. SWB model results from simulations run using projected climate data, summarized by month from 1950 through 2099, for the alluvial basins of Arizona.