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Title: A Coastal Hazards Data Base for the U.S. East Coast (1992) (NDP-043a)

Abstract

This NDP presents data on coastal geology, geomorphology, elevation, erosion, wave heights, tide ranges, and sea levels for the U.S. east coast. These data may be used either by nongeographic database management systems or by raster or vector geographic information systems (GISs). The database integrates several data sets (originally obtained as point, line, and polygon data) for the east coast into 0.25°-latitude by 0.25°-longitude grid cells. Each coastal grid cell contains 28 data variables. This NDP may be used to predict the response of coastal zones on the U.S. east coast to changes in local or global sea levels. Information on the geologic, geomorphic, and erosional states of the coast provides the basic data needed to predict the behavior of the coastal zone into the far future. Thus, these data may be seen as providing a baseline for the calculation of the relative vulnerability of the east coast to projected sea-level rises. This data will also be useful to research, educational, governmental, and private organizations interested in the present and future vulnerability of coastal areas to erosion and inundation. The data are in 13 files, the largest of which is 1.42 MB; the entire data base takes up 3.29 MB,more » excluding the ARC/INFOTM files.« less

Authors:
;
  1. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Other Number(s):
NDP-043a
Product Type:
Dataset
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Carbon Dioxide Information Analysis Center (CDIAC); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division
OSTI Identifier:
1389515
DOI:
10.3334/CDIAC/SSR.NDP043A

Citation Formats

Gornitz, Vivien M., and White, Tammy W. A Coastal Hazards Data Base for the U.S. East Coast (1992) (NDP-043a). United States: N. p., 1992. Web. doi:10.3334/CDIAC/SSR.NDP043A.
Gornitz, Vivien M., & White, Tammy W. A Coastal Hazards Data Base for the U.S. East Coast (1992) (NDP-043a). United States. doi:10.3334/CDIAC/SSR.NDP043A.
Gornitz, Vivien M., and White, Tammy W. 1992. "A Coastal Hazards Data Base for the U.S. East Coast (1992) (NDP-043a)". United States. doi:10.3334/CDIAC/SSR.NDP043A. https://www.osti.gov/servlets/purl/1389515. Pub date:Wed Jan 01 00:00:00 EST 1992
@article{osti_1389515,
title = {A Coastal Hazards Data Base for the U.S. East Coast (1992) (NDP-043a)},
author = {Gornitz, Vivien M. and White, Tammy W.},
abstractNote = {This NDP presents data on coastal geology, geomorphology, elevation, erosion, wave heights, tide ranges, and sea levels for the U.S. east coast. These data may be used either by nongeographic database management systems or by raster or vector geographic information systems (GISs). The database integrates several data sets (originally obtained as point, line, and polygon data) for the east coast into 0.25°-latitude by 0.25°-longitude grid cells. Each coastal grid cell contains 28 data variables. This NDP may be used to predict the response of coastal zones on the U.S. east coast to changes in local or global sea levels. Information on the geologic, geomorphic, and erosional states of the coast provides the basic data needed to predict the behavior of the coastal zone into the far future. Thus, these data may be seen as providing a baseline for the calculation of the relative vulnerability of the east coast to projected sea-level rises. This data will also be useful to research, educational, governmental, and private organizations interested in the present and future vulnerability of coastal areas to erosion and inundation. The data are in 13 files, the largest of which is 1.42 MB; the entire data base takes up 3.29 MB, excluding the ARC/INFOTM files.},
doi = {10.3334/CDIAC/SSR.NDP043A},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1992},
month = {1}
}