Northern Hemisphere Winter Circulation Statistics

Winter seasonal circulation statistics for the Northern Hemisphere were derived from NMC analyses by Ngar-Cheung (Gabriel) Lau. Grids are available at various tropospheric levels between 1000 and 100 millibars. The period of record is 1965 to 1976, with each winter consisting of the 120 days beginning November 15.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  1965-11
    End:  1976-03

Keywords

Resource Type dataset
Temporal Range Begin 1965-11
Temporal Range End 1976-03
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 38.00 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 Lau, Ngar-Cheung
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1980-01-11
Digital Object Identifier (DOI) https://doi.org/10.5065/MFX0-MW92
Alternate Identifier d820000
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-08-04T02:11:45Z
Metadata Record Identifier edu.ucar.rda::d820000
Metadata Language eng; USA
Suggested Citation Lau, Ngar-Cheung. (1980). Northern Hemisphere Winter Circulation Statistics. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/MFX0-MW92. Accessed 22 November 2024.

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