Articles | Volume 18, issue 19
https://doi.org/10.5194/gmd-18-6767-2025
© Author(s) 2025. 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-18-6767-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improving annual fine mineral dust representation from the surface to the column in GEOS-Chem 14.4.1
Dandan Zhang
CORRESPONDING AUTHOR
Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
Randall V. Martin
Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
Xuan Liu
Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
Scripps Institution of Oceanography, University of California San Diego, San Diego, California 92093, United States
Aaron van Donkelaar
Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
Christopher R. Oxford
Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
Yanshun Li
Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
Department of Civil and Environmental Engineering, Washington State University, Pullman, Washington 99163, United States
Danny M. Leung
Atmospheric Chemistry Observations and Modeling Laboratory, National Science Foundation National Center for Atmospheric Research, Boulder, Colorado 80301, United States
Jasper F. Kok
Department of Atmospheric and Oceanic Sciences, University of California Los Angeles, Los Angeles, California 90095, United States
Longlei Li
Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, New York 14853, United States
Haihui Zhu
Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
Jay R. Turner
Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
Yu Yan
Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
Michael Brauer
School of Population and Public Health, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
Yinon Rudich
Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
Eli Windwer
Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
Data sets
Data and codes for "Importance of different parameterization changes for the updated dust cycle modelling in the Community Atmosphere Model (version 6.1)" L. Li et al. https://doi.org/10.5281/zenodo.6989502
Model code and software
geoschem/GCHP: GCHP 14.4.1 The International GEOS-Chem User Community https://doi.org/10.5281/zenodo.12584305
Improving Fine Mineral Dust Representation from the Surface to the Column in GEOS-Chem version 14.4.1 D. Zhang https://doi.org/10.5281/zenodo.14510793
Short summary
This study develops the fine mineral dust simulation in GEOS-Chem by: 1) implementing a new dust emission scheme with further refinements; 2) revisiting the size distribution of emitted dust; 3) explicitly tracking fine dust for emission, transport and deposition in 4 size bins; 4) updating the parametrization for below-cloud scavenging. All revisions significantly reduce the overestimation of surface fine dust from 94 % to 35 % while retaining comparable skill in representing columnar abundance.
This study develops the fine mineral dust simulation in GEOS-Chem by: 1) implementing a new dust...