UK Met Office (UKMO) Simplified Forecast Icing Potential (SFIP)

Icing Potential Forecasts from UK Met Office (UKMO) for ICICLE (In-Cloud ICing and Large-drop Experiment) in NetCDF format. Forecasts are from 20 January - 9 March 2019 on 41 model levels at approximately 10km resolution on a regular lat/lon grid.

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

Temporal Range

  • Begin:  2019-01-20T00:00:00Z
    End:  2019-03-09T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2019-01-20T00:00:00Z
Temporal Range End 2019-03-09T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 52.00000
Bounding Box South Lat 33.00000
Bounding Box West Long -103.00000
Bounding Box East Long -77.00000
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : UKMO_SFIP_readme.txt
Additional Information N/A
Resource Format NetCDF: Network Common Data Form (application/x-netcdf)
Standardized Resource Format NetCDF
Asset Size 5782 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 Katie Bennett
Mark Canning
Cyril Morcrette
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2020-12-03T15:30:29
Digital Object Identifier (DOI) https://doi.org/10.26023/FW22-JVKF-6J0V
Alternate Identifier 570.047
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:44:29Z
Metadata Record Identifier edu.ucar.eol::570.047
Metadata Language eng; USA
Suggested Citation Katie Bennett, Mark Canning, Cyril Morcrette. (2020). UK Met Office (UKMO) Simplified Forecast Icing Potential (SFIP). 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/FW22-JVKF-6J0V. Accessed 02 November 2024.

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