Soil-water-balance model archive for Long Island, NY, 1900-2019

Dates

Start Date: 1900-01-01
End Date: 2019-12-31
Publication Date: 2022-06-16

Citation

Finkelstein, J.S., 2022, Soil-water-balance model archive for Long Island, NY, 1900-2019: U.S. Geological Survey data release, https://doi.org/10.5066/P94OLK6Z.

Summary

This model archive makes available the Soil-Water-Balance (SWB) model (Westenbroek and others, 2010) and input data used to estimate the potential amount of annual groundwater recharge to the Long Island aquifer system from 1900 to 2019 as described in U.S. Geological Survey Scientific Investigations Report 2021-5143. Input data for two SWB simulations are included in the archive. The first simulation uses existing land-use/land-cover datasets to estimate changes in recharge with changing land use from 1900-2019 (referred to as the post-development simulation). The second simulation assumed a forested, undeveloped (pre-development simulation) condition across Long Island for the same period. The same soil coverages and time-series [...]

Summary

This model archive makes available the Soil-Water-Balance (SWB) model (Westenbroek and others, 2010) and input data used to estimate the potential amount of annual groundwater recharge to the Long Island aquifer system from 1900 to 2019 as described in U.S. Geological Survey Scientific Investigations Report 2021-5143. Input data for two SWB simulations are included in the archive. The first simulation uses existing land-use/land-cover datasets to estimate changes in recharge with changing land use from 1900-2019 (referred to as the post-development simulation). The second simulation assumed a forested, undeveloped (pre-development simulation) condition across Long Island for the same period. The same soil coverages and time-series climate data were used throughout both simulations.

Potential recharge was spatially distributed as gridded output across Long Island in 100m x 100m grid cells. To save on model run time, model inputs were divided into 10-year increments as described in Model_Archive_ReadMe.txt.

The model archive includes all input files used to run the model. The required directory structure to run the model is provided in Model_Archive_ReadMe.txt.

Contacts

Point of Contact :: Jason Finkelstein
Originator :: Jason Finkelstein
Metadata Contact :: Jason Finkelstein
Publisher :: U.S. Geological Survey
Data Owner :: New York Water Science Center
Distributor :: U.S. Geological Survey - ScienceBase
SDC Data Owner :: New York Water Science Center
USGS Mission Area :: Water Resources

Attached Files

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Click on title to download individual files attached to this item.

Long_Island_SWB_model_archive_metadata.xml Original FGDC Metadata	View	27.11 KB	application/fgdc+xml
source.zip		660.71 KB	application/zip
georef.txt		834 Bytes	text/plain
t2016_t2019.zip		372.4 MB	application/zip
bins.zip		2.47 MB	application/zip
		4.87 GB	application/zip
t2011_t2016.zip		121.45 MB	application/zip
t1980_t2011.zip		596.77 MB	application/zip
		286.97 MB	application/zip
		254.57 MB	application/zip
Model_Archive_ReadMe.txt		17.77 KB	text/plain

Related External Resources

Type: Related Primary Publication

Finkelstein, J.S., Monti, J., Jr., Masterson, J.P., and Walter, D.A., 2022, Application of a soil-water-balance model to estimate annual groundwater recharge for Long Island, New York, 1900–2019: U.S. Geological Survey Scientific Investigations Report 2021–5143, 25 p., https://doi.org/10.3133/sir20215143	https://doi.org/10.3133/sir20215143

Type: ScienceBase Repository

Jason S. Finkelstein, Jack Monti, Jr., John P. Masterson, and Donald A. Walter, 2022, Soil-Water-Balance groundwater recharge model results for Long Island, NY, 1900-2019: U.S. Geological Survey, https://doi.org/10.5066/P9V2NMUB	https://doi.org/10.5066/P9V2NMUB

Type: Method

Westenbroek, S.M., Kelson, V.A., Dripps, W.R., Hunt, R.J., and Bradbury,K.R., 2010, SWB—A modified Thornthwaite-Mather Soil-Water-Balance code for estimating groundwater recharge: U.S. Geological Survey Techniques and Methods 6–A31, 60 p.	https://pubs.usgs.gov/tm/tm6-a31/

Type: Citation

Sohl, T.L., Reker, R., Bouchard, M., Sayler, K., Dornbierer, J., Wika, S., Quenzer, R., and Friesz, A., 2018, Modeled historical land use and land cover for the conterminous United States—1938–1992: U.S. Geological Survey data release	https://doi.org/10.5066/F7KK99RR
Sohl, T.L., Sayler, K.L., Bouchard, M.A., Reker, R.R., Freisz, A.M., Bennett, S.L., Sleeter, B.M., Sleeter, R.R., Wilson, T., Soulard, C., Knuppe, M., and Van Hofwegen, T., 2018, Conterminous United States Land Cover Projections—1992 to 2100: U.S. Geological Survey data release	https://doi.org/10.5066/P95AK9HP
National Oceanic and Atmospheric Administration, 2020, Climate Data Online[Daily summaries dataset for stations in Connecticut, Massachusetts, New Jersey, New York, and Rhode Island, by county, for January 1, 1899, to December 31, 1980]: National Oceanic and Atmospheric Administration database	https://www.ncdc.noaa.gov/cdo-web/datasets
Thornton, P.E., Thornton, M.M., Mayer, B.W., Wilhelmi, N., Wei, Y., Devarakonda, R., and Cook, R.B., 2014, Daymet—Daily surface weather data on a 1-km grid for North America, version 2 [Data for January 1, 1980, to December 31, 2015]: Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics database	https://doi.org/10.3334/ORNLDAAC/1219
Thornton, M.M., Thornton, P.E., Wei, Y., Vose, R.S., and Boyer, A.G., 2017, Daymet—Station-level inputs and model predicted values for North America, version 3 [Data for January 1, 2012, to December 31, 2016]: Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics database	https://doi.org/10.3334/ORNLDAAC/1391
Thornton, M.M., Shrestha, R., Wei, Y., Thornton, P.E., Kao, S., and Wilson, B.E., 2020, Daymet—Daily surface weather data on a 1-km grid for North America, version 4 [Data for January 1, 2017, to December 31, 2019]: Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics database	https://doi.org/10.3334/ORNLDAAC/1840
Peaslee, S., 2019, Soil Data Development Toolbox: National Resources Conservation Service software	https://github.com/ncss-tech/SoilDataDevelopmentToolbox

Purpose

This Soil-Water-Balance (SWB) model was used to estimate potential recharge to the Long Island aquifer system on an annual basis from 1900 to 2019.

Soil-water-balance model archive for Long Island, NY, 1900-2019

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Summary

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Purpose

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Map

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Additional Information

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View Item...

Attached Files

sorting

Metadata First

Recent First

Alphabetical