NOGAPS Experimental Ensemble Forecast Imagery

This data set contains NRL NOGAPS model experimental ensemble forecast imagery. The forecasts products are available every six hours out to 36 hours and every 12 hours to 240 hours. Products include ensemble average and standard deviations of 500 mb heights, ensemble member 500 mb heights, sea level presure, 850 mb streamlines and vorticity. Also included are 600 mb Okubo-Weiss and streamlines.

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  • EOL Data Support
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Temporal Range

  • Begin:  2008-06-12T00:00:00Z
    End:  2008-10-06T00:00:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2008-06-12T00:00:00Z
Temporal Range End 2008-10-06T00:00:59Z
Temporal Resolution N/A
Bounding Box North Lat 70.00000
Bounding Box South Lat 0.00000
Bounding Box West Long 90.00000
Bounding Box East Long -60.00000
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format GIF: Color Graphics Interchange Format (GIF) (image/gif)
Standardized Resource Format GIF
Asset Size 1978 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 Naval Research Laboratory
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2009-02-06T11:26:40
Digital Object Identifier (DOI) https://doi.org/10.26023/6B88-QAVD-D60P
Alternate Identifier 110.049
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:48:13Z
Metadata Record Identifier edu.ucar.eol::110.049
Metadata Language eng; USA
Suggested Citation Naval Research Laboratory. (2009). NOGAPS Experimental Ensemble Forecast Imagery. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/6B88-QAVD-D60P. Accessed 25 April 2024.

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