An Atlas Based on the 'COADS' Data Set: Fields of Mean Wind, Cloudiness and Humidity at the Surface of the Global Ocean

Monthly global grids of data, derived fluxes, and anomalies were prepared from the COADS data.

To Access Resource:

Questions? Email Resource Support Contact:

  • Zaihua Ji
    zji@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 N/A
Additional Information N/A
Resource Format ASCII
Standardized Resource Format ASCII
Asset Size 231.54 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 Zaihua Ji
Resource Support Email zji@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 Oberhuber, Josef M.
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1991-08-13
Digital Object Identifier (DOI) https://doi.org/10.5065/4G2D-VK37
Alternate Identifier ds541.0
Resource Version N/A
Topic Category oceans
Progress completed
Metadata Date 2021-08-30T15:05:20-07:00
Metadata Record Identifier edu.ucar.rda::ds541.0
Metadata Language eng; USA
Suggested Citation Oberhuber, Josef M.. (1991). An Atlas Based on the 'COADS' Data Set: Fields of Mean Wind, Cloudiness and Humidity at the Surface of the Global Ocean. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/4G2D-VK37. Accessed 27 September 2023.

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