TTU StickNet Data

This data set contains 10 Hz resolution surface meteorological data from the network of 16 Texas Tech University StickNet probes deployed across north-central Alabama and south-central Tennessee for the VORTEX-SE_2016 field season. The data are in a comma delimited ASCII format.

To Access Resource:

Questions? Email Resource Support Contact:

  • EOL Data Support
    datahelp@eol.ucar.edu
    UCAR/NCAR - Earth Observing Laboratory

Temporal Range

  • Begin:  2016-02-24T00:00:00Z
    End:  2016-05-03T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2016-02-24T00:00:00Z
Temporal Range End 2016-05-03T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 35.40000
Bounding Box South Lat 34.10000
Bounding Box West Long -87.60000
Bounding Box East Long -86.00000
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : README_TTU_Sticknet_daily.txt

Additional Information N/A
Resource Format TAR/GNU Zip (.tar.gz/.tgz) (application/x-gzip)
Standardized Resource Format Archive
Asset Size 6386 MB
Legal Constraints

none


Access Constraints none
Software Implementation Language N/A

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

Author Christopher C. Weiss
Aaron J. Hill
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2016-12-14T19:13:14
Digital Object Identifier (DOI) https://doi.org/10.5065/D65H7DP7
Alternate Identifier 527.024
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:43:07Z
Metadata Record Identifier edu.ucar.eol::527.024
Metadata Language eng; USA
Suggested Citation Christopher C. Weiss, Aaron J. Hill. (2016). TTU StickNet Data. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D65H7DP7. Accessed 02 November 2024.

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