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.

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

Download
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.