WHOI WACCM large ensemble

This 30-member ensemble of CESM1 and WACCM hindcast simulations for the 1979-2014 period is produced using the fully coupled CESM1 simulations and that of a high-top atmosphere-only Whole Atmosphere Community Climate Model (WACCM) as its component. This project is created by researchers at WHOI in collaboration with NCAR researchers.

To Access Resource:

Questions? Email Resource Support Contact:

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

Temporal Range

  • Begin:  1979-01-01
    End:  2014-12-31

Keywords

Resource Type dataset
Temporal Range Begin 1979-01-01
Temporal Range End 2014-12-31
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 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 Liang, Yu-Chiao
Kwon, Young-Oh
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2025-06-23
Digital Object Identifier (DOI) https://doi.org/10.5065/djjf-da26
Alternate Identifier d583120
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-06-24T05:05:02Z
Metadata Record Identifier edu.ucar.rda::d583120
Metadata Language eng; USA
Suggested Citation Liang, Yu-Chiao, Kwon, Young-Oh. (2025). WHOI WACCM large ensemble. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/djjf-da26. Accessed 25 June 2025.

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