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Soil-Water Balance model datasets used to estimate groundwater recharge in Florida and parts of Georgia, Alabama, and South Carolina, 1895-2010
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.
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Soil-Water Balance model datasets used to estimate groundwater recharge in Florida and parts of Georgia, Alabama, and South Carolina, 1895-2010
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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.
Soil-Water Balance model datasets used to estimate groundwater recharge in Florida and parts of Georgia, Alabama, and South Carolina, 1995-2010
공공데이터포털
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).
Soil-Water Balance model datasets used to estimate groundwater recharge in Florida and parts of Georgia, Alabama, and South Carolina, 1995-2010
공공데이터포털
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).
Soil-Water Balance model datasets used to estimate groundwater recharge in parts of North Carolina, South Carolina, and Georgia under 2015 conditions and future conditions using three downscaled climate models paired with two land cover scenarios
공공데이터포털
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.
Soil-Water Balance model datasets used to estimate groundwater recharge in parts of North Carolina, South Carolina, and Georgia under 2015 conditions and future conditions using three downscaled climate models paired with two land cover scenarios
공공데이터포털
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.
Soil-Water Balance model and datasets used to estimate potential groundwater recharge Brunswick, New Hanover, and Pender counties North Carolina 1980 through 2016
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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.
Soil-Water Balance model and datasets used to estimate potential groundwater recharge Brunswick, New Hanover, and Pender counties North Carolina 1980 through 2016
공공데이터포털
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.
Data sets of actual evapotranspiration rates from 2000 to 2017 for basins in Florida and parts of Alabama and Georgia, calculated using the water-balance method, the bias-corrected Operational Simplified Surface Energy Balance (SSEBop) model, and the land-use crop coefficients model
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Annual actual evapotranspiration (ETa) rates in 55 basins in Florida and parts of Alabama and Georgia were evaluated for 2000–17 using the Operational Simplified Surface Energy Balance (SSEBop) model at about a one-square kilometer resolution (Sepúlveda, 2021). SSEBop ETa rates were bias corrected on the basis of ETa rates computed from weather observations at 24 micrometeorological evapotranspiration flux (MEF) stations, stratified by land-use type and referred to as mETa rates. Uncorrected and bias-corrected SSEBop ETa rates were evaluated by comparison with independent estimates based on a crop-coefficient method for generalized land-use types (luETa) and a water-balance method for each basin (wbETa). Average annual estimates of SSEBop ETa (uncorrected and bias-corrected) and differences (residuals) from average annual estimates based on luETa rates and wbETa rates for each of the 55 basins are provided by each of the five Florida Water Management Districts and by the Tampa Bay Water regional utility.
Data sets of actual evapotranspiration rates from 2000 to 2017 for basins in Florida and parts of Alabama and Georgia, calculated using the water-balance method, the bias-corrected Operational Simplified Surface Energy Balance (SSEBop) model, and the land-use crop coefficients model
공공데이터포털
Annual actual evapotranspiration (ETa) rates in 55 basins in Florida and parts of Alabama and Georgia were evaluated for 2000–17 using the Operational Simplified Surface Energy Balance (SSEBop) model at about a one-square kilometer resolution (Sepúlveda, 2021). SSEBop ETa rates were bias corrected on the basis of ETa rates computed from weather observations at 24 micrometeorological evapotranspiration flux (MEF) stations, stratified by land-use type and referred to as mETa rates. Uncorrected and bias-corrected SSEBop ETa rates were evaluated by comparison with independent estimates based on a crop-coefficient method for generalized land-use types (luETa) and a water-balance method for each basin (wbETa). Average annual estimates of SSEBop ETa (uncorrected and bias-corrected) and differences (residuals) from average annual estimates based on luETa rates and wbETa rates for each of the 55 basins are provided by each of the five Florida Water Management Districts and by the Tampa Bay Water regional utility.
OFR 2021-1008 MODEL ARCHIVE: Soil-Water-Balance model developed to simulate net infiltration and irrigation water use for the Mississippi Embayment Regional Aquifer System, 1915 to 2018
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This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate potential recharge for the Mississippi Alluvial Aquifer for 1915 to 2018. The model was calibrated using monthly values of evapotranspiration and annual values of runoff and recharge for 19 drainage basins selected from within or nearby the Mississippi Alluvial Aquifer system. The calibrated SWB model and its use are described in the associated U.S. Geological Survey Open-File Report 2021-1008. The model was used to create output at two different scales: 1,609-meter and 1,000-meter grid cells. Also included are files used to generate a high-resolution (100-meter) subset of output for an area near Shellmound, Mississippi. The directory structure of the model archive contains all of the files needed to document and run the model for a short example time period. This archive *does not* include all daily weather data drivers needed to replicate the model output; those files consume tens of gigabytes of storage space and are available elsewhere on the Internet (sources and online links to these data are provided in the source information section of the metadata). The directories in the archive are presented each as a separate .zip file and include 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.