CESM2 Perfect Model Prediction Ensembles, 2030

This dataset includes ensemble prediction experiments using the CESM2 model. These are "perfect model prediction experiments" in which the simulations are initialized with nearly identical conditions from CESM2 simulations in the year 2030 and then integrated forward for two years. Ensemble prediction sets are initialized on January 1, March 1, May 1, July 1, September 1, and November 1. Five different initial conditions, taken from five different CESM2 simulations, are used for each initialization timing and 15 members are simulated for each of the five initial states. These 15 members differ with a micro-perturbation to the initial atmospheric temperature. Thus, for each initialization timing set (i.e. January 1, 2030) there are 75 total ensemble members (15 members for 5 initial states). These experiments can be used to assess the inherent initial-value predictability characteristics of the earth system as simulated by CESM2.

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Temporal Range

  • Begin:  2030-01
    End:  2032-10

Keywords

Resource Type dataset
Temporal Range Begin 2030-01
Temporal Range End 2032-10
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 NetCDF
Standardized Resource Format NetCDF
Asset Size 5413760.529 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 Holland, Marika M.
Bailey, David
Publisher NSF National Center for Atmospheric Research
Publication Date 2024-07-08
Digital Object Identifier (DOI) https://doi.org/10.5065/2E1Z-JN83
Alternate Identifier d651003
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-10-09T01:32:10Z
Metadata Record Identifier edu.ucar.gdex::d651003
Metadata Language eng; USA
Suggested Citation Holland, Marika M., Bailey, David. (2024). CESM2 Perfect Model Prediction Ensembles, 2030. NSF National Center for Atmospheric Research. https://doi.org/10.5065/2E1Z-JN83. Accessed 14 October 2025.

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