NOAA R/V Ron Brown Lidar Data

This NOAA R/V Ron Brown Lidar dataset consists of two netCDF files which contain lidar data collected from the Research Vessel Ron Brown during the VOCALS 2008 project. The file contains vertical profiles of horizontal wind and the file has vertical profiles of vertical velocity turbulence (and higher statistical moments) and aerosol back scatter signal strength (snr). See the readme for more information on the file structure for each file.

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Questions? Email Resource Support Contact:

  • EOL Data Support
    UCAR/NCAR - Earth Observing Laboratory

Temporal Range

  • Begin:  2008-10-01T00:00:00Z
    End:  2008-11-30T23:59:00Z


Resource Type dataset
Temporal Range Begin 2008-10-01T00:00:00Z
Temporal Range End 2008-11-30T23:59:00Z
Temporal Resolution N/A
Bounding Box North Lat -15.00000
Bounding Box South Lat -30.00000
Bounding Box West Long -90.00000
Bounding Box East Long -70.00000
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : NOAAESRLLidar_readme.txt

Additional Information N/A
Resource Format N/A
Standardized Resource Format UNDEFINED FORMAT
Asset Size 55 MB
Legal Constraints


Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author Alan Brewer
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2011-09-28T20:20:37
Digital Object Identifier (DOI)
Alternate Identifier 89.165
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2023-03-22T21:49:23Z
Metadata Record Identifier edu.ucar.eol::89.165
Metadata Language eng; USA
Suggested Citation Alan Brewer. (2011). NOAA R/V Ron Brown Lidar Data. 1.0. UCAR/NCAR - Earth Observing Laboratory. Accessed 27 September 2023.

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