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Climate Change and Sea Level
Using digital elevation models (DEMs) available through the United States Geological Survey (USGS), we calculated coastal areas susceptible to sea level rise based solely on elevation and adjacency to the sea for regions around the globe (Weiss and Overpeck, in preparation). Data from the Global 30 Arc-second Elevation Dataset (GTOPO30), which offer a global DEM with raster resolution of approximately one kilometer, were used for global analysis. Shorelines are an inherent feature in this dataset. For Puerto Rico and selected areas of the United States, data with a raster resolution of 30 meters from the National Elevation Dataset were utilized. At the time of data retrieval, this dataset contained Puerto Rico, the conterminous United States, Hawaii, and Alaska. Coverage of American Samoa has since been added. As shorelines are not defined in this dataset, vector shoreline data from the NOAA Coastal Services Center were obtained, converted to raster format, and employed in defining shorelines. We created an algorithm for application in geographic information system software in order to perform a cell-by-cell analysis of DEMs, determining for each cell whether or not its value (i.e., elevation) is less than or equal to a particular integer and, if so, whether or not this cell is adjacent or connected to the sea by cells of equal or lesser value. The algorithm was applied for integer values from one through six to reflect our goal of determining areas susceptible to sea level rise of one to six meters. Due to such factors as spatial resolution and possible inaccuracies with DEMs to which the alogrithm is applied, discrepancies may exist between areas mapped as being susceptible to sea level rise on this website and areas determined as such from more detailed studies that address this issue at local scales. Please contact us about discrepancies that you encounter so that we may provide a catalog of them for future viewers of these dynamic maps. Dynamic maps and the webpages on which they are presented were created using ESRI's ArcIMS© internet technology. Sources of data in addtion to the DEMs and its derivatives appearing in the layer lists of individual dynamic maps are listed in the following table. Use of these data is to provide spatial reference on maps. |
Mailing
Address Telephone
Number Facsimile
Number
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| Data Layer | Source | |||
| airports | National Atlas | |||
| cities | ESRI and National Atlas | |||
| continents | ESRI | |||
| counties | National Atlas | |||
| countries | ESRI | |||
| highways | National Atlas | |||
| hurricane tracks | National Atlas | |||
| lakes | ESRI and National Atlas | |||
| population | Oak Ridge National Laboratory and USGS | |||
| railroads | National Atlas | |||
| rivers | ESRI and National Atlas | |||
| states | ESRI | |||
DISCLAIMER:
Users of these maps agree by their use to hold blameless each and
all individuals and organizations involved in their development for
any liability
associated with their use in any form. In addition, the map developers
assume no responsibility or liability for actions or other information
based on these maps. |
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Studies Laboratory, Department of Geosciences, The University of Arizona Last updated
November 28, 2006
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