Digital Elevation Model (DEM) Data for the Seward Peninsula [Jia, J., H. Epstein, D. Walker]

This dataset contains the digital elevation model in Seward Alaska, with 1m vertical resolution and 1-km pixel resolution. This dataset was originally subtracted from United States Geological Survey (USGS) GTOPO30 Dataset, and made appropriate conversion and correction.

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Temporal Range

  • Begin:  2000-04-01T00:00:00Z
    End:  2000-10-13T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2000-04-01T00:00:00Z
Temporal Range End 2000-10-13T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 67.69000
Bounding Box South Lat 52.92000
Bounding Box West Long -168.59000
Bounding Box East Long -116.01000
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Documentation #1 : seward_dem.txt
Additional Information N/A
Resource Format ARCINFO
Standardized Resource Format ArcInfo
Asset Size 1 MB
Legal Constraints

none
Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email datahelp@eol.ucar.edu
Resource Support Organization NSF NCAR Earth Observing Laboratory
Distributor NSF NCAR Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email datahelp@eol.ucar.edu
Metadata Contact Organization NSF NCAR Earth Observing Laboratory

Author Gensuo Jiong Jia ORCID icon
Howard Epstein ORCID icon
Donald A. (Skip) Walker ORCID icon
Publisher NSF NCAR Earth Observing Laboratory
Publication Date 2007-11-02T13:36:45
Digital Object Identifier (DOI) https://doi.org/10.5065/D6416V78
Alternate Identifier 46.641
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-10-07T21:44:03Z
Metadata Record Identifier edu.ucar.eol::46.641
Metadata Language eng; USA
Suggested Citation Gensuo Jiong Jia, Howard Epstein, Donald A. (Skip) Walker. (2007). Digital Elevation Model (DEM) Data for the Seward Peninsula [Jia, J., H. Epstein, D. Walker]. 1.0. NSF NCAR Earth Observing Laboratory. https://doi.org/10.5065/D6416V78. Accessed 22 January 2026.

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