Vonder Haar's Nimbus-3 Minimum Albedo Analyses

This dataset contains global analyses of minimum albedo values over several periods between April 1969 and February 1970 from the Nimbus-3 satellite.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  1969-04
    End:  1970-02

Keywords

Resource Type dataset
Temporal Range Begin 1969-04
Temporal Range End 1970-02
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 N/A
Additional Information N/A
Resource Format Binary
Standardized Resource Format Binary
Asset Size 0.82 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 Atmospheric Sciences, Colorado State University
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1980-01-16
Digital Object Identifier (DOI) https://doi.org/10.5065/DRR9-DD41
Alternate Identifier ds680.0
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2021-09-15T16:05:02-07:00
Metadata Record Identifier edu.ucar.rda::ds680.0
Metadata Language eng; USA
Suggested Citation Department of Atmospheric Sciences, Colorado State University. (1980). Vonder Haar's Nimbus-3 Minimum Albedo Analyses. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/DRR9-DD41. Accessed 04 December 2023.

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