Articles | Volume 14, issue 7
Geosci. Model Dev., 14, 4249–4260, 2021
https://doi.org/10.5194/gmd-14-4249-2021
Geosci. Model Dev., 14, 4249–4260, 2021
https://doi.org/10.5194/gmd-14-4249-2021

Development and technical paper 06 Jul 2021

Development and technical paper | 06 Jul 2021

Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0)

Jun Meng et al.

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Cited articles

Bergin, M. H., Ghoroi, C., Dixit, D., Schauer, J. J., and Shindell, D. T.: Large Reductions in Solar Energy Production Due to Dust and Particulate Air Pollution, Environ. Sci. Tech. Let., 4, 339–344, https://doi.org/10.1021/acs.estlett.7b00197, 2017. 
Bindle, L., Martin, R. V., Cooper, M. J., Lundgren, E. W., Eastham, S. D., Auer, B. M., Clune, T. L., Weng, H., Lin, J., Murray, L. T., Meng, J., Keller, C. A., Pawson, S., and Jacob, D. J.: Grid-Stretching Capability for the GEOS-Chem 13.0.0 Atmospheric Chemistry Model, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2020-398, in review, 2020. 
Bristow, C. S., Hudson-Edwards, K. A., and Chappell, A.: Fertilizing the Amazon and equatorial Atlantic with West African dust, Geophys. Res. Lett., 37, L14807, https://doi.org/10.1029/2010GL043486, 2010. 
Chen, H., Navea, J. G., Young, M. A., and Grassian, V. H.: Heterogeneous Photochemistry of Trace Atmospheric Gases with Components of Mineral Dust Aerosol, J. Phys. Chem. A, 115, 490–499, https://doi.org/10.1021/jp110164j, 2011. 
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Short summary
Dust emissions in models, for example, GEOS-Chem, have a strong nonlinear dependence on meteorology, which means dust emission strengths calculated from different resolution meteorological fields are different. Offline high-resolution dust emissions with an optimized global dust strength, presented in this work, can be implemented into GEOS-Chem as offline emission inventory so that it could promote model development by harmonizing dust emissions across simulations of different resolutions.