CESM2 CMIP5 Ensemble

d651075
| DOI: 10.5065/CDV0-7Z47
 
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Abstract:

The CESM2 with CMIP5 forcing is a set of climate model simulations intended to disentangle the role of forcing versus model structure between CESM2 and CESM1 for pre-industrial, 20th and 21st centuries simulations.

The CESM2 has considerable changes relative to the CESM1 both in the model structure and in the forcing. In order to understand these changes and their impact on climate variability and change, simulations with CESM2 but with a forcing similar to CESM1 were performed.

Simulations include a 500-year pre-industrial run and two 15-member ensembles forced by historical/RCP8.5 datasets.

Due to computational constraints, only a single historical ensemble member runs from 1850-1920. The remaining members were branched in 1920 from the first member.

The forcing in these simulations is comparable to forcing used in the CESM1 Large Ensemble Simulations.

The model code and case setups for the CESM2 CMIP5 Forcing Experiments can be found on github.

Variables:
Data Types:
Grid ,  Model Simulation
Data Contributors:
UCAR/NCAR/CGD
Climate and Global Dynamics Division, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Related Resources:
CESM CESM2-CMIP5 Community Project
Publications:
Holland, M. M., C. Hannay, J. Fasullo, A. Jahn, J. E. Kay, M. Mills, I. R. Simpson, W. Wieder, P. Lawrence, E. Kluzek, and D. Bailey, 2024: New model ensemble reveals how forcing uncertainty and model structure alter climate simulated across CMIP generations of the Community Earth System Model. Geosci. Model Dev., 17, 1585-1602 (DOI: 10.5194/gmd-17-1585-2024).
Schneider, D. P., J. E. Kay, and C. Hannay, 2022: Cloud and Surface Albedo Feedbacks Reshape 21st Century Warming in Successive Generations of An Earth System Model. Geophys. Res. Lett., 49, e2022GL100653 (DOI: 10.1029/2022GL100653).
Total Volume:
95.28 TB (Entire dataset) Volume details by dataset product
Data Formats:
netCDF
Metadata Record:
Data License:
Data LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.
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