NCEP North American Mesoscale (NAM) 12 km Analysis

WRF Non Hydrostatic Mesoscale Model is used at NCEP to produce different mesoscale analysis products over North America. The analysis output archived here is over continental United States at 12 km spatial resolution every 6 hours.

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Questions? Email Resource Support Contact:

  • datahelp@ucar.edu

Temporal Range

  • Begin:  2012-01-01T0000+00
    End:  2025-10-17T0600+00

Keywords

Resource Type dataset
Temporal Range Begin 2012-01-01T0000+00
Temporal Range End 2025-10-17T0600+00
Temporal Resolution N/A
Bounding Box North Lat 61.309523510494856
Bounding Box South Lat 12.18999999999998
Bounding Box West Long -152.8787528266125
Bounding Box East Long -49.415436537703386
Spatial Representation grid
Spatial Resolution 12191.0 m
Related Links N/A
Additional Information N/A
Resource Format WMO GRIB2
Standardized Resource Format GRIB
Asset Size 879970.25 MB
Legal Constraints

Creative Commons Attribution 4.0 International License
Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email datahelp@ucar.edu
Resource Support Organization N/A
Distributor NSF NCAR Geoscience Data Exchange
Metadata Contact Name N/A
Metadata Contact Email datahelp@ucar.edu
Metadata Contact Organization NSF NCAR Geoscience Data Exchange

Author National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Publisher NSF National Center for Atmospheric Research
Publication Date 2015-07-15
Digital Object Identifier (DOI) https://doi.org/10.5065/G4RC-1N91
Alternate Identifier d609000
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress onGoing
Metadata Date 2025-10-17T10:05:06Z
Metadata Record Identifier edu.ucar.gdex::d609000
Metadata Language eng; USA
Suggested Citation National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce. (2015). NCEP North American Mesoscale (NAM) 12 km Analysis. NSF National Center for Atmospheric Research. https://doi.org/10.5065/G4RC-1N91. Accessed 21 October 2025.

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