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
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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21 citations as recorded by crossref.
- Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models H. Lin et al. 10.5194/gmd-14-5487-2021
- An Observation‐Based Correction for Aerosol Effects on Nitrogen Dioxide Column Retrievals Using the Absorbing Aerosol Index M. Cooper et al. 10.1029/2019GL083673
- The Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA) G. Pfister et al. 10.1175/BAMS-D-19-0331.1
- Sector‐Based Top‐Down Estimates of NO x , SO 2 , and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
- 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
- Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK, Using Hierarchical Directed Graphs (V1.0.0) P. Broomandi et al. 10.3390/su13042201
- Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model L. Bindle et al. 10.5194/gmd-14-5977-2021
- An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0 L. Shen et al. 10.5194/gmd-13-2475-2020
- Global simulation of tropospheric chemistry at 12.5 km resolution: performance and evaluation of the GEOS-Chem chemical module (v10-1) within the NASA GEOS Earth system model (GEOS-5 ESM) L. Hu et al. 10.5194/gmd-11-4603-2018
- On the sources and sinks of atmospheric VOCs: an integrated analysis of recent aircraft campaigns over North America X. Chen et al. 10.5194/acp-19-9097-2019
- Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10 C. Keller & M. Evans 10.5194/gmd-12-1209-2019
- A machine-learning-guided adaptive algorithm to reduce the computational cost of integrating kinetics in global atmospheric chemistry models: application to GEOS-Chem versions 12.0.0 and 12.9.1 L. Shen et al. 10.5194/gmd-15-1677-2022
- Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model J. Zhuang et al. 10.1175/BAMS-D-18-0243.1
- FLEXPART v10.1 simulation of source contributions to Arctic black carbon C. Zhu et al. 10.5194/acp-20-1641-2020
- 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
- Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0) J. Meng et al. 10.5194/gmd-14-4249-2021
- GCAP 2.0: a global 3-D chemical-transport model framework for past, present, and future climate scenarios L. Murray et al. 10.5194/gmd-14-5789-2021
- WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry–meteorology interactions X. Feng et al. 10.5194/gmd-14-3741-2021
- Scalable diagnostics for global atmospheric chemistry using Ristretto library (version 1.0) M. Velegar et al. 10.5194/gmd-12-1525-2019
- 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
Saved (preprint)
Latest update: 31 May 2023
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...
