NASA Global Tropospheric Temperature Analyses from MSU

This dataset contains tropospheric temperature analyses derived from satellite microwave sounding units (MSUs). Included are monthly means and anomalies, and annual cycle data.

To Access Resource:

Questions? Email Resource Support Contact:

  • Doug Schuster
    schuster@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1979-01
    End:  1993-11

Keywords

Resource Type dataset
Temporal Range Begin 1979-01
Temporal Range End 1993-11
Temporal Resolution N/A
Bounding Box North Lat 90
Bounding Box South Lat -90
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
Standardized Resource Format ASCII
Asset Size 82.00 MB
Legal Constraints

Creative Commons Attribution 4.0 International License


Access Constraints None
Software Implementation Language N/A

Resource Support Name Doug Schuster
Resource Support Email schuster@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 Global Hydrology and Climate Center, Marshall Space Flight Center, NASA
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1990-06-07
Digital Object Identifier (DOI) https://doi.org/10.5065/N1W1-7R36
Alternate Identifier d701000
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-08-04T02:11:37Z
Metadata Record Identifier edu.ucar.rda::d701000
Metadata Language eng; USA
Suggested Citation Global Hydrology and Climate Center, Marshall Space Flight Center, NASA. (1990). NASA Global Tropospheric Temperature Analyses from MSU. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/N1W1-7R36. Accessed 28 November 2024.

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