Articles | Volume 15, issue 23
https://doi.org/10.5194/gmd-15-8731-2022
© Author(s) 2022. 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-15-8731-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
01 Dec 2022
Development and technical paper |
| 01 Dec 2022
Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)
Department of Energy, Environmental & Chemical Engineering,
Washington University in St. Louis, St. Louis, MO, USA
Sebastian D. Eastham
Laboratory for Aviation and the Environment, Massachusetts Institute of Technology, Cambridge, MA, USA
Liam Bindle
Department of Energy, Environmental & Chemical Engineering,
Washington University in St. Louis, St. Louis, MO, USA
Elizabeth W. Lundgren
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, MA, USA
Thomas L. Clune
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, MD, USA
Christoph A. Keller
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, MD, USA
Goddard Earth Science Technology & Research (GESTAR), Universities Space Research Association, Columbia, MD, USA
now at: Goddard Earth Science Technology & Research II (GESTAR-II), Morgan State University, Baltimore, MD, USA
William Downs
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, MA, USA
now at: Rosenstiel School of Marine and Atmospheric Science,
University of Miami, Miami, FL, USA
Dandan Zhang
Department of Energy, Environmental & Chemical Engineering,
Washington University in St. Louis, St. Louis, MO, USA
Robert A. Lucchesi
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, MD, USA
Melissa P. Sulprizio
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, MA, USA
Robert M. Yantosca
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, MA, USA
Yanshun Li
Department of Energy, Environmental & Chemical Engineering,
Washington University in St. Louis, St. Louis, MO, USA
Lucas Estrada
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, MA, USA
William M. Putman
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, MD, USA
Benjamin M. Auer
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, MD, USA
Atanas L. Trayanov
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, MD, USA
Steven Pawson
Goddard Earth Science Technology & Research (GESTAR), Universities Space Research Association, Columbia, MD, USA
Daniel J. Jacob
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, MA, USA
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Cited
6 citations as recorded by crossref.
- Variable effects of spatial resolution on modeling of nitrogen oxides C. Li et al. 10.5194/acp-23-3031-2023
- Source Contributions to Fine Particulate Matter and Attributable Mortality in India and the Surrounding Region D. Chatterjee et al. 10.1021/acs.est.2c07641
- Uncertainty in parameterized convection remains a key obstacle for estimating surface fluxes of carbon dioxide A. Schuh & A. Jacobson 10.5194/acp-23-6285-2023
- CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model D. Pendergrass et al. 10.5194/gmd-16-4793-2023
- Advances in Simulating the Global Spatial Heterogeneity of Air Quality and Source Sector Contributions: Insights into the Global South D. Zhang et al. 10.1021/acs.est.2c07253
- Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties H. Zhu et al. 10.5194/acp-23-5023-2023
6 citations as recorded by crossref.
- Variable effects of spatial resolution on modeling of nitrogen oxides C. Li et al. 10.5194/acp-23-3031-2023
- Source Contributions to Fine Particulate Matter and Attributable Mortality in India and the Surrounding Region D. Chatterjee et al. 10.1021/acs.est.2c07641
- Uncertainty in parameterized convection remains a key obstacle for estimating surface fluxes of carbon dioxide A. Schuh & A. Jacobson 10.5194/acp-23-6285-2023
- CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model D. Pendergrass et al. 10.5194/gmd-16-4793-2023
- Advances in Simulating the Global Spatial Heterogeneity of Air Quality and Source Sector Contributions: Insights into the Global South D. Zhang et al. 10.1021/acs.est.2c07253
- Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties H. Zhu et al. 10.5194/acp-23-5023-2023
Latest update: 25 Sep 2023
Short summary
Atmospheric chemistry models must be able to operate both online as components of Earth system models and offline as standalone models. The widely used GEOS-Chem model operates both online and offline, but the classic offline version is not suitable for massively parallel simulations. We describe a new generation of the offline high-performance GEOS-Chem (GCHP) that enables high-resolution simulations on thousands of cores, including on the cloud, with improved access, performance, and accuracy.
Atmospheric chemistry models must be able to operate both online as components of Earth system...
