NSSL Mobile Lidar Truck Single Lidar Vertical Stare Data

Vertical stare observations from the NSSL mobile lidar truck that participated in the Targeted Observations using Radars and UAS in Supercells - Left-flank Intensive Experiment (TORUS-LItE) campaign in May and June 2023 over the southern plains region of the United States.

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Temporal Range

  • Begin:  2023-06-01T00:00:00Z
    End:  2023-06-15T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2023-06-01T00:00:00Z
Temporal Range End 2023-06-15T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 37.20000
Bounding Box South Lat 32.40000
Bounding Box West Long -103.80000
Bounding Box East Long -99.30000
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Documentation #1 : DLTruckFP_TORUSLItE.pdf
Additional Information N/A
Resource Format PNG: Portable Network Graphics (PNG) (image/png)
NetCDF: Network Common Data Form (application/x-netcdf)
Standardized Resource Format NetCDF
Image
Asset Size 52 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 Elizabeth N. Smith
Tyler Bell
Michael Coniglio
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2024-02-21T18:19:40
Digital Object Identifier (DOI) https://doi.org/10.26023/BGWA-CDN5-8W0S
Alternate Identifier 631.008
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-12-26T23:52:06Z
Metadata Record Identifier edu.ucar.eol::631.008
Metadata Language eng; USA
Suggested Citation Elizabeth N. Smith, Tyler Bell, Michael Coniglio. (2024). NSSL Mobile Lidar Truck Single Lidar Vertical Stare Data. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/BGWA-CDN5-8W0S. Accessed 16 February 2025.

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