ETOPO5 Global Earth Topography, 5-minute, from NGDC

Five minute resolution global ocean depth and land surface elevation. Developed from multiple data sources and compiled by Peter Sloss at NGDC. It has been superseded by more current Terrain Elevation [https://rda.ucar.edu/index.html#!lfd?b=var&v=Terrain+Elevation&nb=y] datasets.

To Access Resource:

Questions? Email Resource Support Contact:

  • Chi-Fan Shih
    chifan@ucar.edu
    UCAR/NCAR - Research Data Archive

Keywords

Resource Type dataset
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat 90
Bounding Box South Lat -90
Bounding Box West Long -180
Bounding Box East Long 180
Spatial Representation grid
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format ASCII
Binary
Standardized Resource Format Binary
ASCII
Asset Size 270.00 MB
Legal Constraints

Creative Commons Attribution 4.0 International License
Access Constraints None
Software Implementation Language N/A

Resource Support Name Chi-Fan Shih
Resource Support Email chifan@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1986-07-25
Digital Object Identifier (DOI) https://doi.org/10.5065/D62F7KG0
Alternate Identifier d759001
Resource Version N/A
Topic Category elevation
Progress completed
Metadata Date 2024-08-04T02:11:42Z
Metadata Record Identifier edu.ucar.rda::d759001
Metadata Language eng; USA
Suggested Citation National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce. (1986). ETOPO5 Global Earth Topography, 5-minute, from NGDC. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D62F7KG0. Accessed 06 October 2024.

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