Articles | Volume 8, issue 3
https://doi.org/10.5194/gmd-8-595-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-595-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
13 Mar 2015
Model description paper |
| 13 Mar 2015
Development of a grid-independent GEOS-Chem chemical transport model (v9-02) as an atmospheric chemistry module for Earth system models
M. S. Long
CORRESPONDING AUTHOR
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
R. Yantosca
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
J. E. Nielsen
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications Inc., Lanham, MD, USA
C. A. Keller
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
A. da Silva
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
M. P. Sulprizio
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
S. Pawson
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
D. J. Jacob
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
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63 citations as recorded by crossref.
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- Quantifying PM2.5 from long-range transport and local pollution in Taiwan during winter monsoon: An efficient estimation method M. Chuang et al. https://doi.org/10.1016/j.jenvman.2018.08.066
- Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model J. Nielsen et al. https://doi.org/10.1002/2017MS001011
- 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. https://doi.org/10.5194/gmd-14-5487-2021
- GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications S. Eastham et al. https://doi.org/10.5194/gmd-11-2941-2018
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- Scalable diagnostics for global atmospheric chemistry using Ristretto library (version 1.0) M. Velegar et al. https://doi.org/10.5194/gmd-12-1525-2019
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- Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. https://doi.org/10.1029/2020MS002413
- IoT and Satellite Sensor Data Integration for Assessment of Environmental Variables: A Case Study on NO2 J. Cukjati et al. https://doi.org/10.3390/s22155660
63 citations as recorded by crossref.
- The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem P. Crippa et al. https://doi.org/10.5194/acp-17-1511-2017
- Characteristics of intercontinental transport of tropospheric ozone from Africa to Asia H. Han et al. https://doi.org/10.5194/acp-18-4251-2018
- 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. https://doi.org/10.5194/gmd-15-8731-2022
- Optimized dynamic mode decomposition for reconstruction and forecasting of atmospheric chemistry data M. Velagar et al. https://doi.org/10.5194/gmd-18-4667-2025
- Winter PM2.5 pollution in China's largest arid urban agglomeration: Impacts of basin terrain and synoptic-scale circulations Q. Liang et al. https://doi.org/10.1016/j.atmosres.2025.108728
- Implementation and evaluation of the GEOS-Chem chemistry module version 13.1.2 within the Community Earth System Model v2.1 T. Fritz et al. https://doi.org/10.5194/gmd-15-8669-2022
- Quantifying PM2.5 from long-range transport and local pollution in Taiwan during winter monsoon: An efficient estimation method M. Chuang et al. https://doi.org/10.1016/j.jenvman.2018.08.066
- Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model J. Nielsen et al. https://doi.org/10.1002/2017MS001011
- 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. https://doi.org/10.5194/gmd-14-5487-2021
- GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications S. Eastham et al. https://doi.org/10.5194/gmd-11-2941-2018
- Intercomparison of GEOS-Chem and CAM-chem tropospheric oxidant chemistry within the Community Earth System Model version 2 (CESM2) H. Lin et al. https://doi.org/10.5194/acp-24-8607-2024
- CIOFC1.0: a common parallel input/output framework based on C-Coupler2.0 X. Yu et al. https://doi.org/10.5194/gmd-16-6285-2023
- Spatiotemporal variability of tropospheric NO2 over four megacities in Southern Africa: Implications for transboundary regional air pollution N. Matandirotya & R. Burger https://doi.org/10.1016/j.envc.2021.100271
- Tropospheric ozone data assimilation in the NASA GEOS Composition Forecast modeling system (GEOS-CF v2.0) using satellite data for ozone vertical profiles (MLS), total ozone columns (OMI), and thermal infrared radiances (AIRS, IASI) M. Kelp et al. https://doi.org/10.1088/1748-9326/acf0b7
- International trade linked with disease burden from airborne particulate pollution Y. Xiao et al. https://doi.org/10.1016/j.resconrec.2017.10.002
- Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 1. Bias Correction With Surface Observations in Nonrural Areas H. Zhang et al. https://doi.org/10.1029/2019JD032293
- Sub‐City Scale Hourly Air Quality Forecasting by Combining Models, Satellite Observations, and Ground Measurements C. Malings et al. https://doi.org/10.1029/2021EA001743
- Scalable diagnostics for global atmospheric chemistry using Ristretto library (version 1.0) M. Velegar et al. https://doi.org/10.5194/gmd-12-1525-2019
- Global spatiotemporal estimation of daily high-resolution surface carbon monoxide concentrations using Deep Forest Y. Wang et al. https://doi.org/10.1016/j.jclepro.2022.131500
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- Air pollution impacts of COVID-19–related containment measures G. Chossière et al. https://doi.org/10.1126/sciadv.abe1178
- 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. https://doi.org/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. https://doi.org/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. https://doi.org/10.5194/acp-19-9097-2019
- Aerosol‐Radiation Interactions in China in Winter: Competing Effects of Reduced Shortwave Radiation and Cloud‐Snowfall‐Albedo Feedbacks Under Rapidly Changing Emissions J. Moch et al. https://doi.org/10.1029/2021JD035442
- Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model L. Bindle et al. https://doi.org/10.5194/gmd-14-5977-2021
- A novel hybrid clustering model of region segmentation to fuse CMAQ simulations with observations M. Wang et al. https://doi.org/10.1016/j.atmosenv.2022.119062
- Global impact of the COVID-19 lockdown on surface concentration and health risk of atmospheric benzene C. Ling et al. https://doi.org/10.5194/acp-23-3311-2023
- WRF-Chem Modeling of Summertime Air Pollution in the Northern Great Plains: Chemistry and Aerosol Mechanism Intercomparison C. Bucaram & F. Bowman https://doi.org/10.3390/atmos12091121
- Regional evaluation and estimates of atmospheric nitrogen deposition for United States hydrologic units and ecoregions S. Akter et al. https://doi.org/10.1016/j.atmosenv.2023.120149
- Advancing air pollution forecasting: a review of physical, statistical, and machine learning methods A. Rawat et al. https://doi.org/10.1007/s11356-026-37789-7
- Variable effects of spatial resolution on modeling of nitrogen oxides C. Li et al. https://doi.org/10.5194/acp-23-3031-2023
- 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. https://doi.org/10.5194/gmd-13-3241-2020
- Global impact of COVID-19 restrictions on the surface concentrations of nitrogen dioxide and ozone C. Keller et al. https://doi.org/10.5194/acp-21-3555-2021
- Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation X. Lu et al. https://doi.org/10.5194/gmd-13-3817-2020
- Modeling the high-mercury wet deposition in the southeastern US with WRF-GC-Hg v1.0 X. Xu et al. https://doi.org/10.5194/gmd-15-3845-2022
- Evaluating the impact of aerosol treatments in TROPOMI NO2 retrievals on top-down NOx emission inversions over Eastern China W. Dong et al. https://doi.org/10.1016/j.atmosres.2026.109391
- 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. https://doi.org/10.5194/gmd-14-3741-2021
- Impacts of wildfire smoke aerosols on near-surface ozone photochemistry J. Shen et al. https://doi.org/10.5194/acp-25-8701-2025
- Computational fluid dynamics simulation of reactive fine particulate matter in a street canyon M. Kim et al. https://doi.org/10.1016/j.atmosenv.2019.04.013
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- Tropospheric alkene ozonolysis chemistry: an extended computational chemistry assessment of structural effects N. Watson et al. https://doi.org/10.1039/D4VA00298A
- On-Road Evaporation Emissions: An Important Contributor to Ozone Pollution W. Feng et al. https://doi.org/10.1021/acsestair.6c00123
- Long-range transport of Siberian biomass burning emissions to North America during FIREX-AQ M. Johnson et al. https://doi.org/10.1016/j.atmosenv.2021.118241
- Clean air policy makes methane harder to control due to longer lifetime B. Fu et al. https://doi.org/10.1016/j.oneear.2024.06.010
- Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10 C. Keller & M. Evans https://doi.org/10.5194/gmd-12-1209-2019
- Improving scalability of Earth system models through coarse-grained component concurrency – a case study with the ICON v2.6.5 modelling system L. Linardakis et al. https://doi.org/10.5194/gmd-15-9157-2022
- Global transport of dust emitted from different regions of the Sahara C. Lamancusa & K. Wagstrom https://doi.org/10.1016/j.atmosenv.2019.05.042
- Deep learning-based gas-phase chemical kinetics kernel emulator: Application in a global air quality simulation case Z. Wang et al. https://doi.org/10.3389/fenvs.2022.955980
- Errors and improvements in the use of archived meteorological data for chemical transport modeling: an analysis using GEOS-Chem v11-01 driven by GEOS-5 meteorology K. Yu et al. https://doi.org/10.5194/gmd-11-305-2018
- 基于GEOS-Chem和多源卫星数据的全球CO2柱浓度同化分析 颜. Yan Xuezhi et al. https://doi.org/10.3788/AOS250644
- Augmenting the Standard Operating Procedures of Health and Air Quality Stakeholders With NASA Resources B. Duncan et al. https://doi.org/10.1029/2021GH000451
- Direct estimates of biomass burning NOx emissions and lifetimes using daily observations from TROPOMI X. Jin et al. https://doi.org/10.5194/acp-21-15569-2021
- 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. https://doi.org/10.5194/gmd-16-4793-2023
- Application of Satellite‐Based Detections of Arctic Bromine Explosion Events Within GEOS‐Chem P. Wales et al. https://doi.org/10.1029/2022MS003465
- NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0: Stratospheric Composition K. Knowland et al. https://doi.org/10.1029/2021MS002852
- Development of the global chemistry-climate coupled model BCC-GEOS-Chem v2.0: improved atmospheric chemistry performance and new capability of chemistry-climate interactions R. Sun et al. https://doi.org/10.5194/gmd-19-2111-2026
- 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. https://doi.org/10.1029/2020MS002064
- Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. https://doi.org/10.1029/2020MS002413
- IoT and Satellite Sensor Data Integration for Assessment of Environmental Variables: A Case Study on NO2 J. Cukjati et al. https://doi.org/10.3390/s22155660
Saved (final revised paper)
Latest update: 08 Nov 2026
Short summary
This paper presents results from the modularization of the GEOS-Chem chemical transport model, and its coupling as the chemical operator within the NASA-GMAO GEOS-5 Earth system model (ESM). The key findings are that chemistry within the modular GEOS-Chem system shows consistent, high strong-scaling properties across the range of distributed processors, transport is the limiting component prohibiting efficient scalability, and GEOS-Chem is able to generate suitable chemical results in an ESM.
This paper presents results from the modularization of the GEOS-Chem chemical transport model,...
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