UK Met Office 3dVOM 2km Imagery

This data set contains 3dVOM forecasts at 2km resolution for the Sierra Nevada during the T-REX field project. 3dVOM (3-D Velocities over Mountains) is a finite-difference numerical model designed for high-resolution simulations of lee waves generated by flow over complex terrain. The data are in zip files by day.

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Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  2006-02-13T00:00:00Z
    End:  2006-05-04T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2006-02-13T00:00:00Z
Temporal Range End 2006-05-04T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 37.00000
Bounding Box South Lat 35.00000
Bounding Box West Long -118.00000
Bounding Box East Long -114.00000
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Documentation #1 : 3dVOM_readme.txt

Documentation #2 : org.png
Additional Information N/A
Resource Format ZIP: PKZIP (application/zip)
Standardized Resource Format Archive
Asset Size 956 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 UK Met Office (UKMO)
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2007-11-08T11:53:42
Digital Object Identifier (DOI) https://doi.org/10.26023/XNQ1-2SWT-M90E
Alternate Identifier 92.058
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-12-26T23:53:00Z
Metadata Record Identifier edu.ucar.eol::92.058
Metadata Language eng; USA
Suggested Citation UK Met Office (UKMO). (2007). UK Met Office 3dVOM 2km Imagery. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/XNQ1-2SWT-M90E. Accessed 14 January 2025.

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