Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-4443-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-4443-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
23 Sep 2020
Model description paper |
| 23 Sep 2020
| 23 Sep 2020
The E3SM version 1 single-column model
Peter A. Bogenschutz
CORRESPONDING AUTHOR
Lawrence Livermore National Laboratory, Livermore, CA, USA
Shuaiqi Tang
Lawrence Livermore National Laboratory, Livermore, CA, USA
Peter M. Caldwell
Lawrence Livermore National Laboratory, Livermore, CA, USA
Shaocheng Xie
Lawrence Livermore National Laboratory, Livermore, CA, USA
Wuyin Lin
Brookhaven National Laboratory, Upton, NY, USA
Yao-Sheng Chen
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
NOAA Chemical Sciences Laboratory, Boulder, CO, USA
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Cited
14 citations as recorded by crossref.
- Ship‐Based Observations and Climate Model Simulations of Cloud Phase Over the Southern Ocean N. Desai et al. 10.1029/2023JD038581
- Improving the representation of shallow cumulus convection with the simplified-higher-order-closure–mass-flux (SHOC+MF v1.0) approach M. Chinita et al. 10.5194/gmd-16-1909-2023
- Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions? J. Mülmenstädt et al. 10.5194/acp-24-13633-2024
- Horizontal Resolution Sensitivity of the Simple Convection‐Permitting E3SM Atmosphere Model in a Doubly‐Periodic Configuration P. Bogenschutz et al. 10.1029/2022MS003466
- PT-ESM: A Parameter-Testing and Integration Framework for Earth System Models Oriented towards High-Performance Computing J. Guo et al. 10.3390/atmos15080935
- Representing surface heterogeneity in land–atmosphere coupling in E3SMv1 single-column model over ARM SGP during summertime M. Huang et al. 10.5194/gmd-15-6371-2022
- Simulated Dust Transport in the Convective Boundary Layer G. Cornwell et al. 10.1029/2020JD033429
- The Energy Exascale Earth System Model Simulations With High Vertical Resolution in the Lower Troposphere P. Bogenschutz et al. 10.1029/2020MS002239
- A Fortran–Python interface for integrating machine learning parameterization into earth system models T. Zhang et al. 10.5194/gmd-18-1917-2025
- The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model H. Lee et al. 10.1029/2020MS002240
- Exploring the Dynamics of an Arctic Sea Ice Melt Event Using a Coupled Atmosphere‐Ocean Single‐Column Model (AOSCM) K. Hartung et al. 10.1029/2021MS002593
- Understanding aerosol–cloud interactions using a single-column model for a cold-air outbreak case during the ACTIVATE campaign S. Tang et al. 10.5194/acp-24-10073-2024
- LB-SCAM: a learning-based method for efficient large-scale sensitivity analysis and tuning of the Single Column Atmosphere Model (SCAM) J. Guo et al. 10.5194/gmd-17-3975-2024
- The E3SM version 1 single-column model P. Bogenschutz et al. 10.5194/gmd-13-4443-2020
13 citations as recorded by crossref.
- Ship‐Based Observations and Climate Model Simulations of Cloud Phase Over the Southern Ocean N. Desai et al. 10.1029/2023JD038581
- Improving the representation of shallow cumulus convection with the simplified-higher-order-closure–mass-flux (SHOC+MF v1.0) approach M. Chinita et al. 10.5194/gmd-16-1909-2023
- Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions? J. Mülmenstädt et al. 10.5194/acp-24-13633-2024
- Horizontal Resolution Sensitivity of the Simple Convection‐Permitting E3SM Atmosphere Model in a Doubly‐Periodic Configuration P. Bogenschutz et al. 10.1029/2022MS003466
- PT-ESM: A Parameter-Testing and Integration Framework for Earth System Models Oriented towards High-Performance Computing J. Guo et al. 10.3390/atmos15080935
- Representing surface heterogeneity in land–atmosphere coupling in E3SMv1 single-column model over ARM SGP during summertime M. Huang et al. 10.5194/gmd-15-6371-2022
- Simulated Dust Transport in the Convective Boundary Layer G. Cornwell et al. 10.1029/2020JD033429
- The Energy Exascale Earth System Model Simulations With High Vertical Resolution in the Lower Troposphere P. Bogenschutz et al. 10.1029/2020MS002239
- A Fortran–Python interface for integrating machine learning parameterization into earth system models T. Zhang et al. 10.5194/gmd-18-1917-2025
- The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model H. Lee et al. 10.1029/2020MS002240
- Exploring the Dynamics of an Arctic Sea Ice Melt Event Using a Coupled Atmosphere‐Ocean Single‐Column Model (AOSCM) K. Hartung et al. 10.1029/2021MS002593
- Understanding aerosol–cloud interactions using a single-column model for a cold-air outbreak case during the ACTIVATE campaign S. Tang et al. 10.5194/acp-24-10073-2024
- LB-SCAM: a learning-based method for efficient large-scale sensitivity analysis and tuning of the Single Column Atmosphere Model (SCAM) J. Guo et al. 10.5194/gmd-17-3975-2024
1 citations as recorded by crossref.
Latest update: 08 May 2025
Short summary
This paper documents a tool that has been developed that can be used to accelerate the development and understanding of climate models. This version of the model, known as a the single-column model, is much faster to run than the full climate model, and we demonstrate that this tool can be used to quickly exploit model biases that arise due to physical processes. We show examples of how this single-column model can directly benefit the field.
This paper documents a tool that has been developed that can be used to accelerate the...
