Climatology of the January and July Tropics and Mid-Latitudes

Climatologies for January and July were created for several levels and variables for the tropics and mid-latitudes from analyzed maps. Data from 1961 to 1980 were used to create the 2.5-degree resolution gridded climatologies.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  1961
    End:  1980

Keywords

Resource Type dataset
Temporal Range Begin 1961
Temporal Range End 1980
Temporal Resolution N/A
Bounding Box North Lat 45
Bounding Box South Lat -40
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 19.00 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 Van de Boogard, Henry M.
Rao, G. V.
Fang, L. S.
Joseph, Dennis
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1989-04-28
Digital Object Identifier (DOI) https://doi.org/10.5065/S9N4-7Q25
Alternate Identifier d206000
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-08-04T02:10:46Z
Metadata Record Identifier edu.ucar.rda::d206000
Metadata Language eng; USA
Suggested Citation Van de Boogard, Henry M., Rao, G. V., Fang, L. S., Joseph, Dennis. (1989). Climatology of the January and July Tropics and Mid-Latitudes. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/S9N4-7Q25. Accessed 22 November 2024.

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