GCIP/GIST: Surface 5-Minute Surface Composite

The GCIP/GIST 5-Minute Surface Composite contains data from several networks (i.e. Automated Surface Observing System ?ASOS?, Automated Weather Observing System ?AWOS?, Oklahoma Mesonet, DOE Atmospheric Radiation Measurements (ARM) Southern Great Plains Sites). Data from 183 stations were reformatted, merged, and quality controlled to form this composite.

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  • EOL Data Support
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    UCAR/NCAR - Earth Observing Laboratory

Temporal Range

  • Begin:  1994-04-01T00:00:00Z
    End:  1994-08-31T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 1994-04-01T00:00:00Z
Temporal Range End 1994-08-31T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 45.00000
Bounding Box South Lat 30.00000
Bounding Box West Long -107.00000
Bounding Box East Long -85.00000
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : sfc5c.txt
Additional Information N/A
Resource Format N/A
Standardized Resource Format UNDEFINED FORMAT
Asset Size 2012 MB
Legal Constraints

none
Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email eol-datahelp@ucar.edu
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email eol-datahelp@ucar.edu
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author UCAR/NCAR - Earth Observing Laboratory
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2011-08-24T17:30:26
Digital Object Identifier (DOI) https://doi.org/10.5065/D6057D6Z
Alternate Identifier 1.79
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2022-04-04T21:14:59Z
Metadata Record Identifier edu.ucar.eol::1.79
Metadata Language eng; USA
Suggested Citation UCAR/NCAR - Earth Observing Laboratory. (2011). GCIP/GIST: Surface 5-Minute Surface Composite. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D6057D6Z. Accessed 30 November 2023.

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