Articles | Volume 21, issue 6
https://doi.org/10.5194/acp-21-4319-2021
© 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/acp-21-4319-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Mar 2021
Research article |
| 22 Mar 2021
| 22 Mar 2021
A revised mineral dust emission scheme in GEOS-Chem: improvements in dust simulations over China
Rong Tian
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD)/Key Laboratory for
Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD)/Key Laboratory for
Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Jianqi Zhao
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD)/Key Laboratory for
Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing
University of Information Science & Technology, Nanjing 210044, China
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- Freeze-thaw process boosts penguin-derived NH3 emissions and enhances climate-relevant particles formation in Antarctica R. Tian et al. https://doi.org/10.1038/s41612-024-00873-1
- Exploring dust heterogeneous chemistry over China: Insights from field observation and GEOS-Chem simulation R. Tian et al. https://doi.org/10.1016/j.scitotenv.2021.149307
- Investigation of the influence of mineral dust on airborne particulate matter during the COVID-19 epidemic in spring 2020 over China L. Liang et al. https://doi.org/10.1016/j.apr.2022.101424
- Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions M. Qiu et al. https://doi.org/10.5194/acp-22-10551-2022
- Spatiotemporal variation in soil degradation and economic damage caused by wind erosion in Northwest China H. Zhao et al. https://doi.org/10.1016/j.jenvman.2022.115121
- Exploring the mechanisms of dust emission and transport based on observations and GEOS-Chem simulations P. Zou et al. https://doi.org/10.5194/acp-26-7485-2026
- Emission, transport, deposition, chemical and radiative impacts of mineral dust during severe dust storm periods in March 2021 over East Asia L. Liang et al. https://doi.org/10.1016/j.scitotenv.2022.158459
- Using machine learning to quantify drivers of aerosol pollution trend in China from 2015 to 2022 Y. Ji et al. https://doi.org/10.1016/j.apgeochem.2023.105614
- Spatiotemporal trends and impact factors of PM<sub>2.5</sub> and O<sub>3</sub> pollution in major cities in China during 2015–2020 Y. Zhang et al. https://doi.org/10.1360/TB-2021-0767
- Improving annual fine mineral dust representation from the surface to the column in GEOS-Chem 14.4.1 D. Zhang et al. https://doi.org/10.5194/gmd-18-6767-2025
Saved (final revised paper)
Latest update: 24 Jul 2026
Short summary
We improve the treatment of the dust emission process in GEOS-Chem by considering the effect of geographical variation of aerodynamic roughness length, smooth roughness length and soil texture, as well as the Owen effect and a more physically based formulation of sandblasting efficiency, which improve estimated threshold friction velocity and dust concentrations over China. Our study highlights the importance of incorporation of realistic land-surface properties into the dust emission scheme.
We improve the treatment of the dust emission process in GEOS-Chem by considering the effect of...
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