Articles | Volume 11, issue 1
https://doi.org/10.5194/gmd-11-305-2018
© Author(s) 2018. 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-11-305-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
23 Jan 2018
Development and technical paper |
| 23 Jan 2018
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
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Christoph A. Keller
Universities Space Research Association, Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Daniel J. Jacob
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
Andrea M. Molod
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Sebastian D. Eastham
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Michael S. Long
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
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- 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
- 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
- Impact of Model Spatial Resolution on Global Geophysical Satellite-Derived Fine Particulate Matter D. Zhang et al. https://doi.org/10.1021/acsestair.4c00084
- Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model J. Zhuang et al. https://doi.org/10.1175/BAMS-D-18-0243.1
- Estimates of Regional Source Contributions to the Asian Tropopause Aerosol Layer Using a Chemical Transport Model T. Fairlie et al. https://doi.org/10.1029/2019JD031506
- Exceptional Wildfire Enhancements of PAN, C2H4, CH3OH, and HCOOH Over the Canadian High Arctic During August 2017 T. Wizenberg et al. https://doi.org/10.1029/2022JD038052
- Quantifying the Impact of Atmospheric Transport Uncertainty on CO2 Surface Flux Estimates A. Schuh et al. https://doi.org/10.1029/2018GB006086
- 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
- Exploring the inorganic composition of the Asian Tropopause Aerosol Layer using medium-duration balloon flights H. Vernier et al. https://doi.org/10.5194/acp-22-12675-2022
- Evaluating the Response of Summertime Surface Sulfate to Hydroclimate Variations in the Continental United States: Role of Meteorological Inputs in the GEOS‐Chem Model Y. Xie et al. https://doi.org/10.1029/2018JD029693
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- 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
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- Technical note: 12 km resolution capability for the global GEOS-Chem model of atmospheric composition X. Wang et al. https://doi.org/10.5194/acp-26-6857-2026
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- Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model I. Stanevich et al. https://doi.org/10.5194/gmd-13-3839-2020
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- Diagnosing the Model Bias in Simulating Daily Surface Ozone Variability Using a Machine Learning Method: The Effects of Dry Deposition and Cloud Optical Depth X. Ye et al. https://doi.org/10.1021/acs.est.2c05712
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- 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
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- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part II: Results Using Optimal Error Statistics S. Voshtani et al. https://doi.org/10.3390/rs14020375
- Evidence for Interhemispheric Mercury Exchange in the Pacific Ocean Upper Troposphere A. Koenig et al. https://doi.org/10.1029/2021JD036283
Saved (final revised paper)
Latest update: 30 Aug 2026
Short summary
Global simulations of atmospheric chemistry are generally conducted with off-line chemical transport models (CTMs) driven by archived meteorological data from general circulation models (GCMs). The off-line approach has the advantages of simplicity and expediency, but it is unable to reproduce the GCM transport exactly. We investigate the cascade of errors associated with the off-line approach using the GEOS-5 GCM and GEOS-Chem CTM and discuss improvements in the use of archived meteorology.
Global simulations of atmospheric chemistry are generally conducted with off-line chemical...
