Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis

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Timothy A. Myers; Travis Aerenson; Daniel T. McCoy; Mark D. Zelinka; Jacqueline M. Nugent; Hunter Y. Brown, 2026, "Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis", https://doi.org/10.15786/XDMITE, Wyoming Data Repository, V1

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Description	Global, approximately monthly E3SMv3 atmosphere output from a 250-member present-day AMIP-style perturbed-parameter ensemble and the corresponding default E3SMv3 simulation. The AMIP-style ensemble was constructed for the associated Myers et al. paper using the 25 parameter combinations from the Nephele PPE design. The data were remapped from the native ne30pg2 grid to a regular 1-degree 180 x 360 latitude-longitude grid and used to evaluate marine stratocumulus radiative and cloud-fraction sensitivities to meteorological and aerosol cloud-controlling factors. All 250 PPE members span the complete 2010-2016 period. The default simulation used in the analysis spans 2010-2015. Four PPE members had shorter records in the accepted-paper analysis; a post-acceptance sensitivity check using their complete archived records produced no change in the scientific conclusions. The deposit contains 42,646 NetCDF4 files totaling approximately 235.41 GB (219.25 GiB). Full details are provided in the dataset README.
Subject	Earth and Environmental Sciences
Keyword	Atmospheric science, Climate science, Earth system modeling, E3SMv3, Nephele, Perturbed-parameter ensemble, AMIP, Marine stratocumulus, Cloud-controlling factors, Cloud radiative effects, Cloud optical depth, Cloud fraction, COSP, Aerosol-cloud interactions
Related Publication	Is Cited By: Myers, T. A., Aerenson, T., McCoy, D. T., Zelinka, M. D., Nugent, J. M., & Brown, H. Y. (2026). Cloud Controlling Factor Analysis Reveals E3SMv3 Structural Bias and Mean State Controls on Stratocumulus Radiative Sensitivity. Geophysical Research Letters, accepted for publication
License/Data Use Agreement	CC BY 4.0

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Citation Metadata

Persistent Identifier	doi:10.15786/XDMITE
Publication Date	2026-10-07
Title	Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis
Author	Timothy A. Myers (University of Wyoming) - ORCID: https://orcid.org/0000-0003-0582-4554 Travis Aerenson (University of Wyoming) - ORCID: https://orcid.org/0000-0002-7422-4061 Daniel T. McCoy (University of Wyoming) - ORCID: https://orcid.org/0000-0003-1148-6475 Mark D. Zelinka (Lawrence Livermore National Laboratory) - ORCID: https://orcid.org/0000-0002-6570-5445 Jacqueline M. Nugent (University of Wyoming) - ORCID: https://orcid.org/0000-0002-1392-1023 Hunter Y. Brown (University of Wyoming) - ORCID: https://orcid.org/0000-0002-1814-7874
Point of Contact	Use email button above to contact. Myers, Timothy A (University of Wyoming)
Description	Global, approximately monthly E3SMv3 atmosphere output from a 250-member present-day AMIP-style perturbed-parameter ensemble and the corresponding default E3SMv3 simulation. The AMIP-style ensemble was constructed for the associated Myers et al. paper using the 25 parameter combinations from the Nephele PPE design. The data were remapped from the native ne30pg2 grid to a regular 1-degree 180 x 360 latitude-longitude grid and used to evaluate marine stratocumulus radiative and cloud-fraction sensitivities to meteorological and aerosol cloud-controlling factors. All 250 PPE members span the complete 2010-2016 period. The default simulation used in the analysis spans 2010-2015. Four PPE members had shorter records in the accepted-paper analysis; a post-acceptance sensitivity check using their complete archived records produced no change in the scientific conclusions. The deposit contains 42,646 NetCDF4 files totaling approximately 235.41 GB (219.25 GiB). Full details are provided in the dataset README.
Subject	Earth and Environmental Sciences
Keyword	Atmospheric science Climate science Earth system modeling E3SMv3 Nephele Perturbed-parameter ensemble AMIP Marine stratocumulus Cloud-controlling factors Cloud radiative effects Cloud optical depth Cloud fraction COSP Aerosol-cloud interactions
Related Publication	Is Cited By: Myers, T. A., Aerenson, T., McCoy, D. T., Zelinka, M. D., Nugent, J. M., & Brown, H. Y. (2026). Cloud Controlling Factor Analysis Reveals E3SMv3 Structural Bias and Mean State Controls on Stratocumulus Radiative Sensitivity. Geophysical Research Letters, accepted for publication Is Supplemented By: Myers, T. (2026). Code for Myers et al. (2026), Geophysical Research Letters. Zenodo. https://doi.org/10.5281/zenodo.22086114 doi 10.5281/zenodo.22086114 References: Nugent, J. M. et al. (2026). Overview of the Nephele perturbed parameter ensemble for aerosol‐cloud Interactions in E3SMv3. Journal of Advances in Modeling Earth Systems, 18(2), e2025MS004989. doi 10.1029/2025MS004989
Production Location	NSF NCAR-Wyoming Supercomputing Center, Cheyenne, Wyoming, USA
Funding Information	U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research: DE-SC0024161 U.S. Department of Energy Office of Science Biological and Environmental Research, Regional and Global Model Analysis program: DE-AC52-07NA27344
Depositor	Myers, Timothy A
Deposit Date	2026-09-24
Time Period	Start Date: 2010-01-01; End Date: 2016-12-31
Data Type	Earth System Model output
Software	Energy Exascale Earth System Model, Version: version 3; EAM source da106d28d4 NetCDF Operators (NCO), Version: version 5.3.4

Geospatial Metadata

Geographic Coverage	Global
Geographic Bounding Box	-180 180 90 -90
Spatial Resolution	1 (distance) (degrees)
Type of Geospatial Data Resource	dataset
Data Lineage Statement	Native E3SM ne30pg2 atmosphere output was processed using NCO 5.3.4. Native h1 output chunks were averaged with ncra, after which h0 and h1 fields were remapped with ncremap and map_ne30pg2_to_cmip6_180x360_nco.20200901.nc to a regular 180 x 360 latitude-longitude grid. PPE files were subset to the analysis variables and compressed as NetCDF4.
Spatial Representation Type	grid

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