NOAA HRRR-Smoke Model Output

This data set contains the analysis and forecast output from the six hourly runs of the NOAA High Resolution Rapid Refresh-Smoke (HRRR-Smoke) model for the WE-CAN and BB-FLUX field projects. The data set includes the model output in GRIB format all contained within daily gzipped tar files.

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Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  2018-07-01T00:00:00Z
    End:  2018-08-27T17:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2018-07-01T00:00:00Z
Temporal Range End 2018-08-27T17:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 51.00000
Bounding Box South Lat 25.00000
Bounding Box West Long -129.00000
Bounding Box East Long -67.00000
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format TAR/GNU Zip (.tar.gz/.tgz) (application/x-gzip)
Standardized Resource Format Archive
Asset Size 252031 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 NOAA/Earth System Research Laboratory (ESRL)
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2019-09-04T22:18:43
Digital Object Identifier (DOI) https://doi.org/10.26023/73A9-TBCT-E807
Alternate Identifier 548.044
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:44:13Z
Metadata Record Identifier edu.ucar.eol::548.044
Metadata Language eng; USA
Suggested Citation NOAA/Earth System Research Laboratory (ESRL). (2019). NOAA HRRR-Smoke Model Output. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/73A9-TBCT-E807. Accessed 02 November 2024.

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