CESM2 single forcing large ensemble description paper

This dataset contains processed data from the CESM2 single forcing large ensemble experiments as well as some CESM2 emissions files that are necessary for reproducing the figures in Simpson et al (2023) "The CESM2 Single Forcing Large Ensemble and Comparison to CESM1: Implications for Experimental Design", Journal of Climate.

To Access Resource:

Questions? Email Resource Support Contact:

  • Chi-Fan Shih
    chifan@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1850
    End:  2100

Keywords

Resource Type dataset
Temporal Range Begin 1850
Temporal Range End 2100
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 0.00 MB
Legal Constraints

Creative Commons Attribution 4.0 International License
Access Constraints None
Software Implementation Language N/A

Resource Support Name Chi-Fan Shih
Resource Support Email chifan@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author Simpson, Isla
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2025-06-18
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier d583102
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-06-18T20:05:02Z
Metadata Record Identifier edu.ucar.rda::d583102
Metadata Language eng; USA
Suggested Citation Simpson, Isla. (2025). CESM2 single forcing large ensemble description paper. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://rda.ucar.edu/datasets/d583102/. Accessed 19 June 2025.

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