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Soil-Water-Balance (SWB) model archive used to simulate potential annual recharge in Maine, 1991-2015

Dates

Publication Date
Start Date
1991
End Date
2015

Citation

Nielsen, M.G., 2019, Soil-Water-Balance (SWB) model archive used to simulate potential annual recharge in Maine, 1991-2015: U.S. Geological Survey data release, https://doi.org/10.5066/P9GRP7DH.

Summary

This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate potential recharge for the State of Maine for 1991 to 2015. The model was calibrated using annual values of runoff, evapotranspiration, and recharge for 32 watersheds in the State. The simulations were used to create 25-year statistical grids of annual potential recharge (mean, median, minimum, and maximum), and the uncertainty around these grids. The calibrated SWB model and its use is described in the associated U.S. Geological Survey Scientific Investigations Report 2019-XXXX. The Maine SWB model was used to create output at two different scales: 250-meter and 500-meter grid cells. The calibration and uncertainty analysis were carried [...]

Contacts

Attached Files

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

AWC_Clip.JPG thumbnail 144.39 KB
bin.zip
“bin directory”
4 MB
georef.zip
“georef directory”
122.29 KB
output.zip
“output directory”
59.89 MB
source.zip
“source directory”
87.71 MB
ancillary_1.zip
“ancillary directory part 1”
231.27 MB
1.45 GB
2.84 GB
MODEL_ARCHIVE_overall_readme_file.txt 50.74 KB
1.23 GB
Maine_SWB_model_archive_metadata_Revised_10-09-2019.xml
Original FGDC Metadata

View
20.92 KB
README_interim_citations.txt 1,006 Bytes

Purpose

The purpose of the Maine Soil-Water-Balance model was to simulate potential recharge across the State, and provide spatial datasets describing the 25-year mean, median, minimum, and maximum recharge for the time period from 1991 to 2015, and to calculate the spatial variability in uncertainty around the 25-year median values.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9GRP7DH

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