Chloe Codner Amy S. Morris Colin A. Baciocco Derrick L. Wagner Eric G. Fiorentino Alan LePera 20260423 soil-water-balance model Denver, Colo. U.S. Geological Survey https://doi.org/10.5066/P13S99PS Amy S. Morris Colin A. Baciocco Isaac A. Dale Chloe Codner Ethan A. Kirby Grant M. Graves Derrick L. Wagner Eric Fiorentino Alan LePera Jon Sanford Lara Joy 2026 publication Scientific Investigations Report 2026-5009 Reston, Va. U.S. Geological Survey https://doi.org/10.3133/sir20265009 The U.S. Geological Survey (USGS), in cooperation with the Oklahoma Water Resources Board (OWRB), constructed a Soil-Water-Balance (SWB) model of the High Plains aquifer system (hereinafter referred to as the "Ogallala aquifer" in northwestern Oklahoma. The SWB model as well as supplementary data were used to (1) estimate recharge to the Ogallala aquifer in northwestern Oklahoma, and (2) support development of a conceptual groundwater-flow model and water budget for the Ogallala aquifer during 1998–2022. This USGS model application data release contains all model input data and the resulting recharge data files. Input data for the SWB model are precipitation, air temperature, soil-water storage capacity, hydrologic soil group, surface-water flow direction, and land-cover type. Supplementary base-flow and groundwater-use data for the Ogallala aquifer are also provided. The SWB model in this data release was used to estimate the amount of recharge entering the Ogallala aquifer in northwestern Oklahoma between 1998 and 2022. The resulting recharge rates were used to update a conceptual-model water budget for the Ogallala aquifer during this period. Users are encouraged to review the associated model documentation report (https://doi.org/10.3133/sir20265009) to understand the purpose, construction, and limitations of this model. The model will run successfully only if the original directory structure is correctly restored. Instructions for reconstructing the original directory structure can be found in the readme.txt American Standard Code for Information Interchange (ASCII) text file in this data release. The readme.txt ASCII text file also contains instructions for running the model included in this data release and described in the model documentation report. 19670101 20221231 ground condition Complete None planned -103.2965 -99.1072 37.7745 35.2944 ISO 19115 Topic Category environment inlandWaters geoscientificInformation USGS Thesaurus groundwater groundwater and surface-water interaction hydrology water budget modeling groundwater quality water use hydrogeology hydrologic processes water supply and demand included unsaturated zone groundwater flow None groundwater-flow model Soil-Water-Balance model Python slug test base-flow index usgssoilwaterbalancemodel SWB groundwater use hydrogeologic framework groundwater recharge Ogallala aquifer USGS Metadata Identifier USGS:66953434d34e5956a8cbbb1e Geographic Names Information System (GNIS) Oklahoma Cimarron County Texas County Beaver County Harper County Woods County Woodward County Ellis County Dewey County Roger Mills County Custer County Beckham County Cimarron River Beaver River Wolf Creek Arkansas River Canadian River North Canadian River Washita River Colorado Las Animas County Baca County Prowers County Kansas Stanton County Grant County Haskell County Gray County Ford County Edwards County Kiowa County Morton County Stevens County Meade County Clark County Comanche County New Mexico Union County Quay County Texas Dallam County Sherman County Hansford County Ochiltree County Lipscomb County Hartley County Moore County Hutchinson County Roberts County Hemphill County Oldham County Potter County Carson County Gray County Wheeler County None. Refer to the 'Distribution Information' section for details. Acknowledgement of the USGS would be appreciated in products derived from this data release. These data are marked with a Creative Commons Zero (CC0) version 1.0 Universal license (https://creativecommons.org/publicdomain/zero/1.0/). These data are in the public domain and do not have any use constraints. These groundwater model input and output files are provided to support the analyses documented in the associated model documentation report (https://doi.org/10.3133/sir20265009). Although the information contained in the model files may be useful for other purposes, it is incumbent on the user to understand the purpose, construction, and limitations of this Soil-Water-Balance model. Data have been checked to ensure consistency with the accompanying report. If any errors are detected, please notify the originating office. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. U.S. Geological Survey Oklahoma-Texas Water Science Center Public Information Officer Public Information Officer mailing and physical

1505 Ferguson Lane

Austin Texas 78754 USA (512) 927-3500 otpublicinfo@usgs.gov Oklahoma Water Resources Board Microsoft Windows 11 version 23H2 (Build 22631.6345); ESRI ArcGIS Pro Version 3.0.3; Microsoft Excel for Microsoft 365 MSO 32-bit version 2512 (Build 16.0.19530.20226); HydroSOLVE AQTESOLV for Windows Version 4.50.002 Professional; Python Version 3.12.3; Soil-Water-Balance code 64-bit Version 2.2.0. All feature attribute values were peer reviewed. Refer to the "Methodology" and "Process Step" sections found within the "Lineage" part of the "Data Quality Information" section for a description of the quality-assurance and quality-control steps performed on the dataset. Values were checked for correct data types. All data match the information provided by their associated metadata and reported values fall within the expected ranges. The data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for this data release (https://doi.org/10.5066/P13S99PS) for additional details. Horizontal positional accuracies of the point data are dependent on the source data used to define the location of the site (digital orthophotographs, global positioning system [GPS], survey, and so forth). The source data type and horizontal accuracy associated with the locations of the sites may be obtained from the U.S. Geological Survey (USGS) National Water Information System (NWIS) (USGS, 2026). Vertical geospatial coordinates are not included in this data release. Westenbroek, S. M. Engott, J.A. Kelson, V.A. Hunt, R.J. 2018 publication Techniques and Methods 6-A59 Reston, Va. U.S. Geological Survey https://doi.org/10.3133/tm6A59 Digital and/or Hardcopy 19980101 20221231 ground conditions of the data during the modeled time period Westenbroek and others (2018) A code documentation report with detailed descriptions of the Soil-Water-Balance (SWB) code inputs and outputs included in this data release. The SWB code was used to estimate spatially distributed recharge for the groundwater-flow model. Thornton, M.M. Shrestha, R. Wei, Y. Thornton, P.E. Kao, S-C. 20201215 raster digital data Oak Ridge, Tenn. Oak Ridge National Laboratory Distributed Active Archive Center https://doi.org/10.3334/ornldaac/1840 Digital and/or Hardcopy 19980101 20221231 ground conditions of the data during the modeled time period Thornton and others (2020) Climate data (daily minimum and maximum temperature and precipitation) were downloaded from source link for input to the Soil-Water-Balance (SWB) model. U.S. Department of Agriculture 2024 raster digital data Natural Resources Conservation Service https://www.nrcs.usda.gov/resources/data-and-reports/gridded-soil-survey-geographic-gssurgo-database Digital and/or Hardcopy 2024 publication date U.S. Department of Agriculture (2024) Soil properties were retrieved from this online source and were used in the Soil-Water-Balance (SWB) model. Dewitz, J. 2023 remote-sensing image https://www.sciencebase.gov U.S. Geological Survey Downloaded from Multi-Resolution Land Characteristics Consortium at: https://www.mrlc.gov/data/nlcd-2021-land-cover-conus https://doi.org/10.5066/p9jz7ao3 Digital and/or Hardcopy 2021 ground condition Dewitz (2023) Land-use and land-cover data were retrieved from this source and were used in the Soil-Water-Balance (SWB) model. Canopy cover data was also retrieved from this source and converted to percent canopy cover for each cell within the Soil-Water-Balance (SWB) model area. U.S. Geological Survey 2023 raster digital data Reston, Va. U.S. Geological Survey https://www.usgs.gov/the-national-map-data-delivery https://www.usgs.gov/3d-elevation-program https://apps.nationalmap.gov/downloader/ Digital and/or Hardcopy 2023 publication date USGS (2023) Digital elevation model data were retrieved from this online source and were used in the Soil-Water-Balance (SWB) model. Hargreaves, G.H. Samani, Z.A. 1985 publication Applied Engineering in Agriculture v. 1 no. 2 St. Joseph, Mich. American Society of Agricultural and Biological Engineers p. 96–99 https://doi.org/10.13031/2013.26773 Digital and/or Hardcopy 1985 publication date Hargreaves and Samani (1985) Reference crop evapotranspiration data were derived from this source and were used in the Soil-Water-Balance (SWB) model. Thornthwaite, C.W. Mather, J.R. 1957 publication Publications in Climatology v. 10, no. 3 Centerton, N.J. Drexel Institute of Technology, Laboratory of Climatology p. 185–311 https://www.wrc.udel.edu/wp-content/publications/ThornthwaiteandMather1957Instructions_Tables_ComputingPotentialEvapotranspiration_Water%20Balance.pdf Digital and/or Hardcopy 19980101 20221231 ground condition during the modeled time period Thornthwaite and Mather (1957) Instructions and tables for computing potential evapotranspiration data used in the SWB model O'Callaghan, J.F. Mark, D.M. 1984 publication Computer Vision, Graphics, and Image Processing v. 28, no 3 p. 323-324 https://doi.org/10.1016/S0734-189X(84)80047-X Digital and/or Hardcopy 1984 publication date O'Callaghan and Mark (1984) Describes the D8 method for drainage network evaluation; the data derived from which is used as an input in the SWB model Cunningham, W.L. Schalk, C.W. 2011 publication U.S. Geological Survey Technique and Methods book 1, chap. A1 Reston, Va. U.S. Geological Survey 151 p. https://doi.org/10.3133/tm1A1 Digital and/or Hardcopy 2011 publication date Cunningham and Schalk (2011) Provided the U.S. Geological Survey standards for the slug-test data collection method. In-Situ Inc. 2026 website https://in-situ.com/us/level-troll-700-data-logger Digital and/or Hardcopy 2026 date website was accessed In-Situ Inc. (2026) Provides specifications for the pressure logger used for data collection Butler, Jr., J.J. 1998 2 publication Boca Raton, Fla. CRC Press 280 p. https://doi.org/10.1201/9780367815509 Digital and/or Hardcopy 1998 publication date Butler (1998) Describes guidelines for analyzing unconfined slug tests Hyder, Z. Butler, J.J. Jr. McElwee, C.D. Liu, W. 1994 publication Water Resources Research v. 30, no. 11 Washington, D.C. American Geophysical Union (AGU) p. 2945-2957 https://doi.org/10.1029/94WR01670 Digital and/or Hardcopy 1994 publication date Hyder and others (1994) The data processing method outlined in this publication was used to estimate hydraulic conductivity data. Bouwer, H. Rice, R.C. 1976 publication Water Resources Research v 12, no. 3 p. 423-428 https://doi.org/10.1029/WR012i003p00423 Digital and/or Hardcopy 1976 publication date Bouwer and Rice (1976) The data processing method outlined in this publication was used to estimate hydraulic conductivity data. Batu, V. 1998 publication New York, N.Y. John Wiley and Songs, Inc. 727 p. Digital and/or Hardcopy 1976 publication date Batu (1998) Provides definitions and basic information on hydraulic properties Westenbroek, S.M. Kelson, V.A Dripps, W.R. Hunt, R.J. Bradbury, K.R. 2010 publication Technique and Methods 6-A31 Reston, Va. U.S. Geological Survey 59 p. https://doi.org/10.3133/tm6A31 Digital and/or Hardcopy 2010 publication date Westenbroek and others (2010) describes methodologies used in the SWB model Oklahoma Water Resources Board 2024 application/service accessed February 21, 2024 https://oklahoma.gov/owrb/data-and-maps/interactive-maps.html Digital and/or Hardcopy 2024 access date OWRB (2024) web application used to locate OWRB well site information. U.S. Geological Survey 2024 tabular digital data accessed February 21, 2024 https://doi.org/10.5066/F7P55KJN Digital and/or Hardcopy 2024 access date USGS (2024) database used to find USGS well information Barlow, P.M. Cunningham, W.L. Zhai, T. Gray, M. 2015 application/service Techniques and Methods 3-B10 https://doi.org/10.3133/tm3B10 Digital and/or Hardcopy 2015 publication date Barlow and others (2015) This tool was used to estimate base flows in the study area. Wahl, K.L. Wahl, T.L. 1995 publication San Antonio, Tex. A component Conference of the First International Conference on Water Resources Engineering https://www.usbr.gov/tsc/techreferences/hydraulics_lab/pubs/PAP/PAP-0708.pdf Digital and/or Hardcopy 1995 publication date Wahl and Wahl (1995) provides documentation for recession-index selection and turning-point analysis and is the basis for the Base-Flow Index (BFI) algorithm used in Groundwater Toolbox. HydroSOLVE, Inc. 2011 application/service accessed June 1, 2023 https://www.aqtesolv.com Digital and/or Hardcopy 2023 access date HydroSOLVE, Inc. (2011) Documentation for AQTESOLV for Windows Becker, C.J. Runkle, D. Rea, A. 2023 application/service Open-File Report 96-451 accessed April 18, 2023 https://pubs.usgs.gov/of/1996/ofr96-451/ Digital and/or Hardcopy 2023 access date Becker and others (1996) Source of geographic data for panhandle and northwest parts of the Ogallala aquifer in Oklahoma Preprocessing: A Python (version 3.12.3) script (\ancillary\download_daymet.py) was used to download climate data from the Daymet database (version 4; Thonrton and others, 2020). Thornton and others (2020) 2024 Running the SWB model: Open the SWB control file (\model\swb_control.ctl) and ensure that the input file paths are correct for all needed inputs. Ensure that the folders containing the climate data (tmin, tmax, and prcp) are stored within the "climate" folder. Set the output file data and types to the desired settings. Once the control file is updated and all files are stored in the correct paths, double-click on the run_swb batch file (\model\run_swb.bat). Running the batch file will open the command window and display the progress of the SWB model. 2024 The daily groundwater recharge was used to estimate the mean annual recharge to the Ogallala aquifer in Oklahoma for the 1998–2022 model period. Recharge was estimated by using the Soil-Water-Balance (SWB) code (version 2.2.0; Westenbroek and others, 2018). The SWB code uses a modified Thornthwaite-Mather (Thornthwaite and Mather, 1957) SWB method on a gridded data structure to compute the daily amount of infiltration, accounting for losses, that exceeds the storage capacity of the plant root zone. Input data required to estimate recharge using the SWB code include precipitation, air temperature, soil-water storage capacity, hydrologic soil group, surface-water flow direction, and land-cover type (Westenbroek and others, 2018). The input data files and output recharge data files are included in this data release. The SWB code computes recharge by using the following equation modified from Westenbroek and others (2010): R=(P+S+Ri)−(Int+Ro+Pet)−ΔSm where R is recharge, in inches per day (in./d); P is precipitation, in in./d; S is snowmelt, in in./d; Ri is surface runoff inflow, in in./d; Int is plant interception, in in./d; Ro is surface runoff outflow, in in./d; Pet is potential evapotranspiration, in in./d; and ΔSm is the change in soil moisture, in in./d. Westenbroek and others (2010) Thornthwaite and Mather (1957) Westenbroek and others (2018) 2024 Input data for the SWB code were assigned to a user-specified grid that consisted of 783 columns by 566 rows of cells that were each 1,500 by 1,500 feet (ft). Climate data inputs (daily precipitation, minimum temperature, and maximum temperature grids for 1998–2022) were obtained from the Daymet database (version 4; Thornton and others, 2020) using a Python (version 3.12.3) script (\ancillary\download_daymet.py). Soil properties (soil-water storage capacity and hydrologic soil group) were obtained from the Gridded Soil Survey Geographic database (U.S. Department of Agriculture, 2024). Land-cover types were obtained from the National Land Cover Database (Dewitz, 2023) and resampled to the SWB model grid resolution by using the most common land-cover type in each cell. Percent of canopy cover was also obtained from the National Land Cover Database and resampled to the SWB model grid resolution. Flow direction was derived by calculating the land-surface gradient by using the D8 method (O'Callaghan and Mark, 1984) from a 10-meter (m) digital elevation model (USGS, 2023); any depressions were filled by using the ArcGIS Fill tool after the digital elevation model was resampled to the SWB model grid resolution. Filling depressions in the digital elevation model ensures correct routing of surface runoff and eliminates isolated areas that could result in unrealistically high amounts of recharge. Thornton and others (2020) U.S. Department of Agriculture (2024) Dewitz (2023) O'Callaghan and Mark (1984) USGS (2023) 2024 Reference evapotranspiration was calculated by using the Hargreaves and Samani (1985) method. Land-cover types (Dewitz, 2023) were used in conjunction with hydrologic soil groups (U.S. Department of Agriculture, 2024) to partition daily precipitation (Thornton and others, 2020) into plant interception (Int) and surface runoff (Ri and Ro) components and assign plant root-zone depths. The root-zone depths for grass/pasture and forest/shrubland (the dominant land-cover types for land overlying the aquifer) varied with soil texture but ranged from about 1.0 ft to 2.1 ft after being scaled to approximately 60 percent of the values used by Westenbroek and others (2010) which were in permeable glacial deposits in Wisconsin. The maximum volume of water available in the root zone is calculated by multiplying the soil-water storage capacity by the root-zone depth. Changes in soil moisture (ΔSm) exceeding the soil-water storage capacity were assumed to be recharge (R) to the saturated zone. Smaller root-zone depths resulted in increased recharge and decreased evapotranspiration of water from the root zone, and larger root-zone depths resulted in decreased recharge and increased evapotranspiration of water from the root zone. Hargreaves and Samani (1985) Dewitz (2023) U.S. Department of Agriculture (2024) Thornton and others (2020) Westenbroek and others (2010) 2024 Post-processing: After running the SWB model, network common data form (NetCDF) or American Standard Code for Information Interchange (ASCII) text files were output (\model\output) for parameters used in the model. SWB statistics executable (\bin\swbstats2.exe) for the SWB (version 2.2.0) code was used to calculate annual statistics on the net infiltration (or recharge) data output by the model. The sum of simulated recharge for each cell in the model was exported in ASCII format using the aggregates tool in QGIS (version 3.40), for each simulated model year in the model output net infiltration NetCDF file (\output\net_infilitration__1998-01-01_to_2022-12-31__566_by_783.nc) is in the same folder as the SWB statistics executable and the SWB statistics batch file (\model\swbstats2_annual_stats_ascii.bat). The sum of recharge grids for the model period were averaged in ArcGIS Pro to provide mean annual recharge values over the Ogallala aquifer in Oklahoma for the 1998–2022 model period. Westenbroek and others (2018) 2024 The process used to develop and apply the SWB model is fully described in the model documentation report (https://doi.org/10.3133/sir20265009). Refer to the readme.txt file in the model documentation. 2024 In October 2023, slug tests were completed on nine OWRB groundwater monitoring wells to estimate the hydraulic conductivity of the Ogallala aquifer at each well. Hydraulic conductivity is a measure of the ability of a porous material to allow fluids to pass through it. A slug test requires a rapid change in groundwater level, usually as a result of adding or removing a known volume, or “slug,” into or from the well and then measuring the rate at which the groundwater level returns to static conditions (Cunningham and Schalk, 2011). Slug tests were used in addition to geophysical tests to estimate the hydraulic properties of the Ogallala aquifer. The slug-test procedures were modified from Cunningham and Schalk (2011). Ideally, a slug test is performed when the groundwater-level altitude is above the top of the screened interval (Cunningham and Schalk, 2011). A Level TROLL 700 pressure transducer (In-Situ Inc., 2026) was used to continuously log the groundwater level within the groundwater monitoring well at a 0.5-second interval. Prior to each slug test, the pressure transducer was lowered approximately 50 feet below the water surface, and continuous logging was started. A mechanical slug, a 4-foot PVC pipe filled with sand was dropped down into the well for water levels less than 200 feet deep or a known amount of water for water levels greater than 200 feet. This process was repeated two times as separate test runs to evaluate the repeatability of the measurement. Data were downloaded from the pressure transducer by using Win-Situ software, version 5.7.8.0 (In-Situ Inc., Fort Collins, Colorado). Data from the slug tests were analyzed by using the guidelines for analyzing unconfined slug tests developed by Butler (1998). This informed the decision to use the KGS method (Hyder and others, 1994) for the mechanical slugs and Bouwer-Rice method (Bouwer and Rice, 1976) for all of the poured slugs. For the Bouwer-Rice method the assumed specific storage was set equal to 0.000225 which was appropriate for dense sandy gravel (Batu, 1998) and were similar to estimated values from (Hyder and others, 1994). Cunningham and Schalk (2011) Hyder and others (1994) Bouwer and Rice (1976) Butler (1998) Batu (1998) 2023 Use the U.S. Geological Survey Groundwater Toolbox procedures documented in Barlow and others (2015) to obtain the necessary daily streamflow time series and perform base‑flow separations. Wahl and Wahl (1995) provides documentation for recession-index selection and turning-point analysis and is the basis for the Base-Flow Index (BFI) algorithm used in Groundwater Toolbox. The sites of 07156900 and 07234000 from USGS (2024) had enough daily data for BFI to work. Barlow and others (2015) Wahl and Wahl (1995) USGS (2024) 2024 The panhandle and northwest shapefiles were modified from Becker and others (1996). The Harper-Beaver County line was used as a cutoff for the eastern extent of the panhandle part of the Ogallala aquifer for management purposes by the Oklahoma Water Resources Board (OWRB). The northwest part of the Ogallala aquifer was modified to include everything south of the North Canadian River aquifer (OWRB, 2024). Becker and others (1996) OWRB (2024) 2023 Raster Grid Cell 783 566 1 Albers Conical Equal Area 29.5 45.5 -96.0 23.0 0.0 0.0 row and column 1500 1500 survey feet North_American_Datum_1983 Geodetic Reference System 1980 6378137.0 298.257222101 georef.zip compressed (.zip) folder containing a collection of files with a common filename prefix (SWB_Model_Area) associated with the feature class (shapefile; .shp) containing information on the SWB model area Producer Defined FID Internal feature number. ESRI 0 The unique whole number assigned to the only feature in the feature class ESRI Shape Feature geometry or shape type ESRI Polygon A polygon consists of one or more rings where a ring is a connected sequence of four or more points that form a closed, non-self-intersecting loop ESRI Shape_Leng Total length of the polygon's perimeter Producer Defined 4,047,000.00047 4,047,000.00047 feet 0.00001 Shape_Area Total area of the polygon Producer Defined 997,150,500,252 997,150,500,252 square feet 1 panhandle.shp Contained in the compressed Shapefiles (Shapfiles.zip) folder is a collection of files with a common filename prefix (Panhandle) associated with the feature class (shapefile; .shp) showing the extent of the panhandle part of the Ogallala aquifer in northwestern Oklahoma. Producer Defined FID sequential unique whole numbers that are automatically generated for each feature ESRI 0 The unique whole number assigned to the only feature in the feature class ESRI Shape Feature geometry or shape type ESRI Polygon A polygon consists of one or more rings where a ring is a connected sequence of four or more points that form a closed, non-self-intersecting loop ESRI Northwest.shp Contained in the compressed Shapefiles (Shapfiles.zip) folder is a collection of files with a common filename prefix (Northwest) associated with the feature class (shapefile; .shp) showing the extent of the northwest part of the Ogallala aquifer in northwestern Oklahoma. Producer Defined FID Sequential unique whole numbers that are automatically generated for each feature ESRI 0 The unique whole number assigned to the only feature in the feature class ESRI Shape Feature geometry or shape type ESRI Polygon A polygon consists of one or more rings where a ring is a connected sequence of four or more points that form a closed, non-self-intersecting loop ESRI Files in this data release include: readme.txt: This text file describes the directory structure and files in this data release. This file also includes instructions on how to run the model contained in this data release. modelgeoref.txt: This text file defines the coordinates of the four corners of the model domain in decimal degrees (referenced to the North American Datum of 1983), and in feet (referenced to a custom Albers Equal-Area projection). ancillary.zip: This compressed file contains ancillary data files that were used in the interpretation and summary of model results in the associated model documentation report (https://doi.org/10.3133/sir20265009). The ancillary data files also include data from slug tests and groundwater use data from the USGS (Morris and others, 2026) and OWRB (OWRB, 2024). An expanded table of base-flow data used to estimate stream seepage for the Ogallala aquifer is also included as well as a Python script used for the creation of climate grid inputs and summation of monthly and annual outputs. bin.zip: This compressed file contains the SWB (version 2.2.0) 64-bit executable used to run the model documented in this data release. model.zip: This compressed file contains the projection input, control, and batch (run) files for the SWB model documented in this data release. output.zip: This compressed file contains the output files for the SWB model documented in this data release. shapefiles.zip: This compressed file contains the shapefile boundaries for the panhandle and northwest parts of the Ogallala aquifer source.zip: This compressed file contains source files for the SWB code (version 2.2.0) used to run the SWB model documented in this data release and a YAML file (environment.yml) for constructing the Python environment. https://doi.org/10.3133/sir20265009 U.S. Geological Survey GS ScienceBase mailing address

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Denver Colorado 80225 USA 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from authorized or unauthorized use. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Digital Data https://doi.org/10.5066/P13S99PS None 20260423 Amy S Morris U.S. Geological Survey Hydrologist mailing and physical

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Oklahoma City Oklahoma 73116 United States of America 918-230-1654 amorris@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998