MARMET and other marine surface observations from Russia

As part of international data exchanges this large ship observations archive has been provide to NCAR as a source for inclusion into COADS.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  1804
    End:  1994

Keywords

Resource Type dataset
Temporal Range Begin 1804
Temporal Range End 1994
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 7143 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 World Data Center for Meteorology, Obninsk
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1989-04-13
Digital Object Identifier (DOI) https://doi.org/10.5065/YD5K-1535
Alternate Identifier ds533.0
Resource Version N/A
Topic Category oceans
Progress completed
Metadata Date 2024-01-03T15:11:45-07:00
Metadata Record Identifier edu.ucar.rda::ds533.0
Metadata Language eng; USA
Suggested Citation World Data Center for Meteorology, Obninsk. (1989). MARMET and other marine surface observations from Russia. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/YD5K-1535. Accessed 23 April 2024.

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