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The 95th percentile of bottom shear stress for the Gulf of Maine south into the Middle Atlantic Bight, May 2010 to May 2011 (GMAINE_95th_perc.shp, Geographic, WGS 84)

The U.S. Geological Survey has been characterizing the regional variation in shear stress on the sea floor and sediment mobility through statistical descriptors. The purpose of this project is to identify patterns in stress in order to inform habitat delineation or decisions for anthropogenic use of the continental shelf. The statistical characterization spans the continental shelf from the coast to approximately 120 m water depth, at approximately 0.03 degree (2.5-3.75 km, depending on latitude) resolution. Time-series of wave and circulation are created using numerical models, and near-bottom output of steady and oscillatory velocities and an estimate of bottom roughness are used to calculate a time-series of bottom shear stress at 1-hour intervals. Statistical descriptions such as the median and 95th percentile, which are the output included with this database, are then calculated to create a two-dimensional picture of the regional patterns in shear stress. In addition, time-series of stress are compared to critical stress values at select points calculated from observed surface sediment texture data to determine estimates of sea floor mobility.

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Author(s) Patricia Soupy A. orcid, Bradford Butman orcid, Christopher R Sherwood orcid, Richard P Signell orcid
Publication Date 2014
Beginning Date of Data 2010-05-01
Ending Date of Data 2011-05-01
Data Contact
DOI https://doi.org/10.5066/P999PY84
Citation A., P.S., Butman, B., Sherwood, C.R., and Signell, R.P., 2014, The 95th percentile of bottom shear stress for the Gulf of Maine south into the Middle Atlantic Bight, May 2010 to May 2011 (GMAINE_95th_perc.shp, Geographic, WGS 84): U.S. Geological Survey data release, https://doi.org/10.5066/P999PY84.
Metadata Contact
Metadata Date 2021-11-19
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: Coastal and Marine Geoscience Data System
Harvest Date: 2025-01-22T04:21:20.072Z