U.K. Global Permanent Service Mean Sea Level (PSMSL) Observations

NOTE: THIS DATASET HAS BEEN SUPERSEDED BY OTHER DATASETS. See the links section below.

To Access Resource:

Questions? Email Resource Support Contact:

  • Thomas Cram
    tcram@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1872
    End:  1987

Keywords

Resource Type dataset
Temporal Range Begin 1872
Temporal Range End 1987
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

Related Resource #1 : University of Hawaii Sea Level Data Center

Related Resource #2 : National Oceanography Centre (NOC) - PSMSL site
Additional Information N/A
Resource Format ASCII
Standardized Resource Format ASCII
Asset Size 47.00 MB
Legal Constraints

Creative Commons Attribution 4.0 International License
Access Constraints None
Software Implementation Language N/A

Resource Support Name Thomas Cram
Resource Support Email tcram@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 British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1989-06-27
Digital Object Identifier (DOI) https://doi.org/10.5065/7Z2R-KA59
Alternate Identifier d252000
Resource Version N/A
Topic Category oceans
Progress completed
Metadata Date 2024-08-04T02:10:49Z
Metadata Record Identifier edu.ucar.rda::d252000
Metadata Language eng; USA
Suggested Citation British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom. (1989). U.K. Global Permanent Service Mean Sea Level (PSMSL) Observations. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/7Z2R-KA59. Accessed 06 October 2024.

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