Denver, CO and Buckley U.S.A.F. Surface Observations, hourly 1948-1972

This dataset contains hourly surface observations from the Denver, Colorado and Buckley Air Force Base, Colorado observing stations. These data were provided to DSS by the U.S.A.F.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  1948-01
    End:  1972-12

Keywords

Resource Type dataset
Temporal Range Begin 1948-01
Temporal Range End 1972-12
Temporal Resolution N/A
Bounding Box North Lat 41
Bounding Box South Lat 37
Bounding Box West Long -109
Bounding Box East Long -102
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format Binary
Standardized Resource Format Binary
Asset Size 31.00 MB
Legal Constraints

Creative Commons Attribution 4.0 International License


Access Constraints None
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 557th Weather Wing, U.S. Air Force, U. S. Department of Defense
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1980-03-21
Digital Object Identifier (DOI) https://doi.org/10.5065/B1AD-PE15
Alternate Identifier d491000
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-08-04T02:11:07Z
Metadata Record Identifier edu.ucar.rda::d491000
Metadata Language eng; USA
Suggested Citation 557th Weather Wing, U.S. Air Force, U. S. Department of Defense. (1980). Denver, CO and Buckley U.S.A.F. Surface Observations, hourly 1948-1972. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/B1AD-PE15. Accessed 22 October 2024.

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