Cogley and Briggs Global 1-Degree Precipitation Climatology and Topography

This dataset contains 1-degree global topography data and precipitation climatology.

To Access Resource:

Questions? Email Resource Support Contact:

  • Bob Dattore
    dattore@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1950
    End:  1979

Keywords

Resource Type dataset
Temporal Range Begin 1950
Temporal Range End 1979
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Resource #1 : Comments about updates
Additional Information N/A
Resource Format ASCII
Standardized Resource Format ASCII
Asset Size 16.84 MB
Legal Constraints

Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.
Access Constraints Registration on the RDA web site is a requirement for access to the data.
Software Implementation Language N/A

Resource Support Name Bob Dattore
Resource Support Email dattore@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 Department of Geography, Trent University
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1988-01-07
Digital Object Identifier (DOI) https://doi.org/10.5065/7C4E-6D70
Alternate Identifier ds768.0
Resource Version N/A
Topic Category imageryBaseMapsEarthCover
Progress completed
Metadata Date 2021-09-22T16:05:02-07:00
Metadata Record Identifier edu.ucar.rda::ds768.0
Metadata Language eng; USA
Suggested Citation Department of Geography, Trent University. (1988). Cogley and Briggs Global 1-Degree Precipitation Climatology and Topography. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/7C4E-6D70. Accessed 28 September 2023.

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