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

Meng, Jun; Martin, Randall V.; Ginoux, Paul; Hammer, Melanie; Sulprizio, Melissa P.; Ridley, David A.; van Donkelaar, Aaron

doi:https://doi.org/10.5194/gmd-14-4249-2021

Articles | Volume 14, issue 7

https://doi.org/10.5194/gmd-14-4249-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-4249-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 7

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, Randall V. Martin, Paul Ginoux, Melanie Hammer, Melissa P. Sulprizio, David A. Ridley, and Aaron van Donkelaar

Supplement

https://doi.org/10.5194/gmd-14-4249-2021-supplement

Data sets

Global High Resolution Dust Emission Inventory for Chemical Transport Models Meng, Jun; Martin, Randall V.; Ginoux, Paul; Ridley, David A.; Sulprizio, Melissa P. https://doi.org/10.5281/zenodo.4060248

Model code and software

Jun-Meng/Offline_Dust_Emissions_SourceCode_2020_v1.0 Meng, Jun; Martin, Randall V.; Ridley, David A. https://doi.org/10.5281/zenodo.4062003

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.