Global Monthly Station Temperature and Precipitation

This dataset contains global monthly station temperature and precipitation data compiled by the U.S. Department of Energy. Some stations go back as far as the late 1700s.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  1697-01-01
    End:  1982-12-31

Keywords

Resource Type dataset
Temporal Range Begin 1697-01-01
Temporal Range End 1982-12-31
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
ASCII
Standardized Resource Format ASCII
Asset Size 31.42 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 U.S. Department of Energy
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1988-02-12
Digital Object Identifier (DOI) https://doi.org/10.5065/YNHR-4N72
Alternate Identifier ds569.0
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2023-09-21T16:05:04-07:00
Metadata Record Identifier edu.ucar.rda::ds569.0
Metadata Language eng; USA
Suggested Citation U.S. Department of Energy. (1988). Global Monthly Station Temperature and Precipitation. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/YNHR-4N72. Accessed 05 December 2023.

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