Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Mean-annual and mean-seasonal water-budget estimates from a Soil-Water-Balance model of the Appalachian Plateaus, 1980 through 2011

Metadata Updated: August 16, 2024

As part of the U.S. Geological Survey Groundwater Resources Program study of Appalachian Plateaus aquifers, mean-annual and mean-seasonal water-budget estimates for the period 1980 through 2011 were determined for a 162,000 square-mile area covering parts of New York, Pennsylvania, Maryland, Ohio, West Virginia, Kentucky, Virginia, Tennessee, North Carolina, Georgia, Alabama, and Mississippi. Mean-annual and mean-seasonal precipitation, recharge, and actual evapotranspiration (ET) estimates were derived from annual and monthly Soil-Water-Balance (SWB) model (McCoy and others, 2015; Westenbroek and others, 2010) output and compiled in a geodatabase. Precipitation estimates from the Appalachian Plateaus SWB model were derived from daily Daymet climate grids (Thornton and others, 2012). Estimates of recharge from the SWB model were calculated using a modified Thornthwaite-Mather soil-water accounting method (Thornthwaite and Mather, 1957; Westenbroek and others, 2010). Estimates of ET from the SWB model were derived by adjusting a spatially-variable estimate of potential ET (Hargreaves and Samani, 1985) with estimates of precipitation and soil-moisture (Westenbrok and others, 2010). The geodatabase contains polygon and point feature classes representing the model grid cells and their centers, respectively, and two tables containing mean-annual and mean-seasonal estimates for each cell. Mean-annual estimates were computed for full calendar years (January through December) and are presented in inches per year (in/yr) for the 1980 through 2011 period. Mean-seasonal estimates for spring (March through May), summer (June through August) and fall (September through November) are presented in inches for the 1980 through 2011 period. Mean-seasonal estimates for winter (December through February), also presented in inches, were calculated for December 1980 through February 2011.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date August 16, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date August 16, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/bb1091967849ae71d4bc19a54e4767c6
Identifier USGS:dba98e35-d294-402c-b31e-4ee461bc6dd1
Data Last Modified 20201117
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 5f8fda58-2adb-4fa2-87a1-1a3db80c343e
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -88.992632,31.180164,-75.057322,43.797973
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash af5534dd219b2469047428b09f572ea046255168d7b3c3a6656d54560a7265c2
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -88.992632, 31.180164, -88.992632, 43.797973, -75.057322, 43.797973, -75.057322, 31.180164, -88.992632, 31.180164}

Didn't find what you're looking for? Suggest a dataset here.