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.
Citation Information
| Publication Year | 2023 |
|---|---|
| Title | Soil-water-balance model archive for Long Island, NY, 1900-2019 |
| DOI | 10.5066/P94OLK6Z |
| Authors | Jason Finkelstein |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | New York Water Science Center |
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Application of a soil-water-balance model to estimate annual groundwater recharge for Long Island, New York, 1900–2019
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Application of a soil-water-balance model to estimate annual groundwater recharge for Long Island, New York, 1900–2019
A soil-water-balance (SWB) model was developed for Long Island, New York, to estimate the potential amount of annual groundwater recharge to the Long Island aquifer system from 1900 to 2019. The SWB model program is a computer code based on a modified Thornthwaite-Mather SWB approach and uses spatially and temporally distributed meteorological, land-cover, and soil properties as input to compute pAuthorsJason S. Finkelstein, Jack Monti, John P. Masterson, Donald A. Walter - Connect