Sub-seasonal tropical cyclone predictions with the Model Prediction Across Scales (MPAS-A)

This dataset includes MPAS-A initial conditions, a sample namelist file, and simulated tropical cyclone tracks as detected using the TempestExtremes tracking algorithm. Initial conditions are for quasi-uniform 15 km Global MPAS-A simulations beginning at 0000 UTC 25 August for the years 2005-2019. These initial conditions were used with MPAS-A v7.1 to generate free running simulations until 0000 UTC 1 October for each year.

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Temporal Range

  • Begin:  2005-08-25T000000+00
    End:  2019-10-01T000000+00

Keywords

Resource Type dataset
Temporal Range Begin 2005-08-25T000000+00
Temporal Range End 2019-10-01T000000+00
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 N/A
Additional Information N/A
Resource Format Comma-separated Values
Standardized Resource Format ASCII
Asset Size 359086.122 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 Nystrom, R. G.
Judt, F.
Publisher NSF National Center for Atmospheric Research
Publication Date 2025-03-23
Digital Object Identifier (DOI) https://doi.org/10.5065/QJFV-NF10
Alternate Identifier d824002
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-10-09T01:18:37Z
Metadata Record Identifier edu.ucar.gdex::d824002
Metadata Language eng; USA
Suggested Citation Nystrom, R. G., Judt, F.. (2025). Sub-seasonal tropical cyclone predictions with the Model Prediction Across Scales (MPAS-A). NSF National Center for Atmospheric Research. https://doi.org/10.5065/QJFV-NF10. Accessed 11 October 2025.

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