NCEP GDAS/FNL 0.25 Degree Global Tropospheric Analyses and Forecast Grids

These NCEP FNL (Final) operational global analysis and forecast data are on 0.25-degree by 0.25-degree grids prepared operationally every six hours. This product is from the Global Data Assimilation System (GDAS), which continuously collects observational data from the Global Telecommunications System (GTS), and other sources, for many analyses. The FNLs are made with the same model which NCEP uses in the Global Forecast System (GFS), but the FNLs are prepared about an hour or so after the GFS is initialized. The FNLs are delayed so that more observational data can be used. The GFS is run earlier in support of time critical forecast needs, and uses the FNL from the previous 6 hour cycle as part of its initialization.

The analyses are available on the surface, at 26 mandatory (and other pressure) levels from 1000 millibars to 10 millibars, in the surface boundary layer and at some sigma layers, the tropopause and a few others. Parameters include surface pressure, sea level pressure, geopotential height, temperature, sea surface temperature, soil values, ice cover, relative humidity, u- and v- winds, vertical motion, vorticity and ozone.

The archive time series is continuously extended to a near-current date. It is not maintained in real-time.

To Access Resource:

Questions? Email Resource Support Contact:

  • Riley Conroy
    rpconroy@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  2015-07-08T00:00:00Z
    End:  2023-06-07T21:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 2015-07-08T00:00:00Z
Temporal Range End 2023-06-07T21:00:00Z
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Resource #1 : NMC EMC Model Documentation

Related Resource #2 : NCEP Global Parallel System Documentation

Related Resource #3 : MRF/AVN/GDAS CHANGES SINCE 1991

Related Resource #4 : THE NATIONAL WEATHER SERVICE GATEWAY ... HISTORY ...

Related Resource #5 : NCAR Command Language GRIB to NetCDF file structure description

Related Resource #6 : Ask NCEP science questions about the FNL dataset through this link

Related Resource #7 : NCEP Grid-Point Statistical Interpolation (GSI) homepage

Related Resource #8 : WRF User Support

Related Resource #9 : NCEP GDAS 'real-time' operational data access
Additional Information N/A
Resource Format WMO_GRIB2
WMO_GRIB2
Standardized Resource Format GRIB
Asset Size 7879702 MB
Legal Constraints

Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.
Access Constraints Registration on the RDA web site is a requirement for access to the data.
Software Implementation Language N/A

Resource Support Name Riley Conroy
Resource Support Email rpconroy@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2015-07-23
Digital Object Identifier (DOI) https://doi.org/10.5065/D65Q4T4Z
Alternate Identifier ds083.3
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress onGoing
Metadata Date 2023-06-08T10:05:01-07:00
Metadata Record Identifier edu.ucar.rda::ds083.3
Metadata Language eng; USA
Suggested Citation National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce. (2015). NCEP GDAS/FNL 0.25 Degree Global Tropospheric Analyses and Forecast Grids. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D65Q4T4Z. Accessed 08 June 2023.

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