Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2941-2018
© Author(s) 2018. 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-11-2941-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
24 Jul 2018
Model description paper |
| 24 Jul 2018
| 24 Jul 2018
GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications
Laboratory for Aviation and the Environment, Massachusetts Institute
of Technology, Cambridge, Massachusetts, USA
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts, USA
Michael S. Long
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts, USA
Christoph A. Keller
NASA Global Modeling and Assimilation Office, Greenbelt, Maryland, USA
Universities Space Research Association, Columbia, Maryland, USA
Elizabeth Lundgren
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts, USA
Robert M. Yantosca
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts, USA
Jiawei Zhuang
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts, USA
Chi Li
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
Colin J. Lee
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
Matthew Yannetti
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts, USA
Benjamin M. Auer
NASA Global Modeling and Assimilation Office, Greenbelt, Maryland, USA
Science Systems and Applications, Inc., Lanham, Maryland, USA
Thomas L. Clune
NASA Global Modeling and Assimilation Office, Greenbelt, Maryland, USA
Jules Kouatchou
NASA Global Modeling and Assimilation Office, Greenbelt, Maryland, USA
Science Systems and Applications, Inc., Lanham, Maryland, USA
William M. Putman
NASA Global Modeling and Assimilation Office, Greenbelt, Maryland, USA
Matthew A. Thompson
NASA Global Modeling and Assimilation Office, Greenbelt, Maryland, USA
Science Systems and Applications, Inc., Lanham, Maryland, USA
Atanas L. Trayanov
NASA Global Modeling and Assimilation Office, Greenbelt, Maryland, USA
Science Systems and Applications, Inc., Lanham, Maryland, USA
Andrea M. Molod
NASA Global Modeling and Assimilation Office, Greenbelt, Maryland, USA
Randall V. Martin
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
Smithsonian Astrophysical Observatory, Harvard-Smithsonian Center for
Astrophysics, Cambridge, Massachusetts, USA
Daniel J. Jacob
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts, USA
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- Satellite-derived estimates of surface ozone by LESO: Extended application and performance evaluation S. Zhu et al. 10.1016/j.jag.2022.103008
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- Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation X. Lu et al. 10.5194/gmd-13-3817-2020
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- Mortality Attributable to Ambient Fine Particulate Matter Exposure in a Changing Canadian Population, 2001 to 2021 E. Fuller-Thomson et al. 10.1021/acsestair.4c00130
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- Enabling High‐Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS‐Chem Atmospheric Chemistry Model J. Zhuang et al. 10.1029/2020MS002064
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- An Adaptive Auto‐Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic Pre‐Processor (KPP) Version 3.0.0 H. Lin et al. 10.1029/2022MS003293
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- Spatial and temporal variations of surface background ozone in China analyzed with the grid-stretching capability of GEOS-Chem High Performance X. Ye et al. 10.1016/j.scitotenv.2024.169909
- WRF-GC (v1.0): online coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.2.1) for regional atmospheric chemistry modeling – Part 1: Description of the one-way model H. Lin et al. 10.5194/gmd-13-3241-2020
- Improving spatial surrogates for area source emissions inventories in California Y. Li et al. 10.1016/j.atmosenv.2020.117665
- Comparison of Urban Air Quality Simulations During the KORUS‐AQ Campaign With Regionally Refined Versus Global Uniform Grids in the Multi‐Scale Infrastructure for Chemistry and Aerosols (MUSICA) Version 0 D. Jo et al. 10.1029/2022MS003458
- Interannual variability of summertime formaldehyde (HCHO) vertical column density and its main drivers at northern high latitudes T. Zhao et al. 10.5194/acp-24-6105-2024
- Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP) R. Martin et al. 10.5194/gmd-15-8731-2022
- Importance of aerosol composition and aerosol vertical profiles in global spatial variation in the relationship between PM2.5 and aerosol optical depth H. Zhu et al. 10.5194/acp-24-11565-2024
Saved (preprint)
Latest update: 23 Nov 2024
Short summary
Global atmospheric chemical transport models are crucial tools in atmospheric science, used to address problems ranging from climate change to acid rain. GEOS-Chem High Performance (GCHP) is a new implementation of the widely used GEOS-Chem model, designed for massively parallel architectures. GCHP v11-02c is shown to be highly scalable from 6 to over 500 cores, enabling the routine simulation of global atmospheric chemistry from the surface to the stratopause at resolutions of ~50 km or finer.
Global atmospheric chemical transport models are crucial tools in atmospheric science, used to...
