Articles | Volume 14, issue 10
https://doi.org/10.5194/gmd-14-5977-2021
© Author(s) 2021. 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-14-5977-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
06 Oct 2021
Development and technical paper |
| 06 Oct 2021
| 06 Oct 2021
Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model
Department of Energy, Environmental and Chemical Engineering, Washington University, St. Louis, MO, USA
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada
Randall V. Martin
Department of Energy, Environmental and Chemical Engineering, Washington University, St. Louis, MO, USA
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Matthew J. Cooper
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada
Department of Energy, Environmental and Chemical Engineering, Washington University, St. Louis, MO, USA
Elizabeth W. Lundgren
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Sebastian D. Eastham
Laboratory for Aviation and the Environment, Massachusetts Institute of Technology, Cambridge, MA, USA
Benjamin M. Auer
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Thomas L. Clune
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Hongjian Weng
Laboratory for Climate and Ocean–Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
Jintai Lin
Laboratory for Climate and Ocean–Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
Lee T. Murray
Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY, USA
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada
Department of Energy, Environmental and Chemical Engineering, Washington University, St. Louis, MO, USA
Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA, USA
Christoph A. Keller
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
William M. Putman
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Steven Pawson
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Daniel J. Jacob
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
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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
- Source Contributions to Fine Particulate Matter and Attributable Mortality in India and the Surrounding Region D. Chatterjee et al. 10.1021/acs.est.2c07641
- North American Fine Particulate Matter Chemical Composition for 2000–2022 from Satellites, Models, and Monitors: The Changing Contribution of Wildfires A. van Donkelaar et al. 10.1021/acsestair.4c00151
- Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al. 10.1016/j.ese.2024.100425
- Predicting Spatial Variations in Multiple Measures of Oxidative Burden for Outdoor Fine Particulate Air Pollution across Canada J. Xu et al. 10.1021/acs.est.1c01210
26 citations as recorded by crossref.
- Introducing the VIIRS-based Fire Emission Inventory version 0 (VFEIv0) G. Ferrada et al. 10.5194/gmd-15-8085-2022
- A ship emission diffusion model based on translation calculation and its application on Huangpu River in Shanghai S. He et al. 10.1016/j.cie.2022.108569
- Prescribed Burns as a Tool to Mitigate Future Wildfire Smoke Exposure: Lessons for States and Rural Environmental Justice Communities M. Kelp et al. 10.1029/2022EF003468
- ExoCubed: A Riemann-solver-based Cubed-sphere Dynamic Core for Planetary Atmospheres S. Chen & C. Li 10.3847/1538-4357/ad33b9
- Variable effects of spatial resolution on modeling of nitrogen oxides C. Li et al. 10.5194/acp-23-3031-2023
- Next Generation Air Quality Models: Dynamical Mesh, New Insights into Mechanism, Datasets and Applications J. Li et al. 10.1007/s40726-025-00355-9
- Global Formaldehyde Products From the Ozone Mapping and Profiler Suite (OMPS) Nadir Mappers on Suomi NPP and NOAA‐20 C. Nowlan et al. 10.1029/2022EA002643
- The Impact of the Explicit Representation of Convection on the Climate of a Tidally Locked Planet in Global Stretched-mesh Simulations D. Sergeev et al. 10.3847/1538-4357/ad4ecd
- Interpreting summertime hourly variation of NO2 columns with implications for geostationary satellite applications D. Chatterjee et al. 10.5194/acp-24-12687-2024
- Evaluating the Impact of Chemical Complexity and Horizontal Resolution on Tropospheric Ozone Over the Conterminous US With a Global Variable Resolution Chemistry Model R. Schwantes et al. 10.1029/2021MS002889
- Comprehensive economic impact assessment of regional shipping emissions: A case study of Shanghai, China S. He et al. 10.1016/j.marpolbul.2024.117368
- 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
- Observational operator for fair model evaluation with ground NO2 measurements L. Fang et al. 10.5194/gmd-17-8267-2024
- 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
- 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
- Global landscape fire-sourced ambient benzene and health risks in different future scenarios W. Sun et al. 10.1016/j.envpol.2025.126314
- 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
- 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
- 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
- Development and evaluation of processes affecting simulation of diel fine particulate matter variation in the GEOS-Chem model Y. Li et al. 10.5194/acp-23-12525-2023
- Global Observations of Tropospheric Bromine Monoxide (BrO) Columns From TROPOMI Y. Chen et al. 10.1029/2023JD039091
- 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
- Source Contributions to Fine Particulate Matter and Attributable Mortality in India and the Surrounding Region D. Chatterjee et al. 10.1021/acs.est.2c07641
- North American Fine Particulate Matter Chemical Composition for 2000–2022 from Satellites, Models, and Monitors: The Changing Contribution of Wildfires A. van Donkelaar et al. 10.1021/acsestair.4c00151
- Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al. 10.1016/j.ese.2024.100425
Latest update: 29 May 2025
Short summary
Atmospheric chemistry models like GEOS-Chem are versatile tools widely used in air pollution and climate studies. The simulations used in such studies can be very computationally demanding, and thus it is useful if the model can simulate a specific geographic region at a higher resolution than the rest of the globe. Here, we implement, test, and demonstrate a new variable-resolution capability in GEOS-Chem that is suitable for simulations conducted on supercomputers.
Atmospheric chemistry models like GEOS-Chem are versatile tools widely used in air pollution and...
