Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3

These data are the results of high resolution simulations with the Community Earth System Model, version 1.3 (CESM1.3). These simulations form the basis of a publication analyzing machine learning based-detection of weather fronts and associated extreme precipitation. The CESM1.3 data include simulations with historical (years 2000-2005), RCP2.6 (years 2006-2015), and RCP8.5 (years 2086-2100) climate forcing. Depending on the variables, the temporal resolution is 3-hourly, 6-hourly, or monthly, the horizontal resolution is 0.25 degree or 1 degree, and the spatial domain is global or centered over North America.

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Temporal Range

  • Begin:  2000-01-01
    End:  2100-12-31

Keywords

Resource Type dataset
Temporal Range Begin 2000-01-01
Temporal Range End 2100-12-31
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 HDF5/NetCDF4
Standardized Resource Format NetCDF
Asset Size 305690.916 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 Dagon, Katie
Truesdale, John
Rosenbloom, Nan
Bates, Susan
Publisher NSF National Center for Atmospheric Research
Publication Date 2022-04-06
Digital Object Identifier (DOI) https://doi.org/10.5065/q6t7-ta06
Alternate Identifier d583105
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-10-09T01:45:52Z
Metadata Record Identifier edu.ucar.gdex::d583105
Metadata Language eng; USA
Suggested Citation Dagon, Katie, Truesdale, John, Rosenbloom, Nan, Bates, Susan. (2022). Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3. NSF National Center for Atmospheric Research. https://doi.org/10.5065/q6t7-ta06. Accessed 12 October 2025.

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