IEDA
Dataset Information
Computed fetch for project study sites
Data DOI:
https://doi.org/10.15784/601639
Cite as
Klein, A. (2022) "Computed fetch for project study sites" U.S. Antarctic Program (USAP) Data Center. doi: https://doi.org/10.15784/601639.
AMD - DIF Record(s)
Abstract
This csv dataset includes the fetch distances for the 15 study sites visited by projects ANT-1744550, -1744570, -1744584, and -1744602 during ARSV Laurence M. Gould cruise LMG 19-04 in April and May 2019. The fetch distances were computed for each of the following eight cardinal directions (0°,45°,90°,135°,180°,225°,270°,315°). The fetches are all reported in meters (m). Fetch was determined by computing the distance along each of the eight directions to the nearest shoreline based on a 100 m resolution land/water grid. The grid was constructed using a vector-to-raster conversion of the Scientific Council of Antarctic Research (SCAR) Antarctic Digital Database’s High resolution vector polylines of the Antarctic coastline. The fetch computations utilized an ArcGIS toolbox based on code by Finlayson (2006) that computes fetch using the recommended procedures from the US Army Corp of Engineers Shore Protection Manual (USACE, 1984). Finlayson, D.P. 2006. The geomorphology of Puget Sound beaches. Ph.D. dissertation. University of Washington, Seattle. 216 p. Gerrish, L., Fretwell, P., & Cooper, P. (2021). High resolution vector polylines of the Antarctic coastline (7.4) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/e46be5bc-ef8e-4fd5-967b-92863fbe2835'. USACE, 1984. Shore Protection Manual, Coastal Engineering Research Center, Fort Belvoir, Virginia.
Creator(s):
Klein, Andrew
Date Created:
2022-12-29
Repository:
USAP-DC (current)
Spatial Extent(s)
West: -70, East: -60, South: -69, North: -61
Award(s)
Version:
1
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README_601639.txt
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MD5 Checksum: 5871de60cf9cad1fae5c54a26667fe95 File Type: Comma-Separated Values (CSV)

This dataset has been downloaded 3 times since March 2017 (based on unique date-IP combinations)