A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions

Leung, Danny M.; Kok, Jasper F.; Li, Longlei; Okin, Gregory S.; Prigent, Catherine; Klose, Martina; Pérez García-Pando, Carlos; Menut, Laurent; Mahowald, Natalie M.; Lawrence, David M.; Chamecki, Marcelo

doi:https://doi.org/10.5194/acp-23-6487-2023

Articles | Volume 23, issue 11

https://doi.org/10.5194/acp-23-6487-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-6487-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 11

Research article

|

14 Jun 2023

Research article |

| 14 Jun 2023

A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions

Danny M. Leung, Jasper F. Kok, Longlei Li, Gregory S. Okin, Catherine Prigent, Martina Klose, Carlos Pérez García-Pando, Laurent Menut, Natalie M. Mahowald, David M. Lawrence, and Marcelo Chamecki

Supplement

https://doi.org/10.5194/acp-23-6487-2023-supplement

Data sets

Data Collections Earthdata https://disc.gsfc.nasa.gov/datasets?project=MERRA-2

Soil organic carbon stock SoilGrids https://soilgrids.org/

Download CCI LC Products ESA https://www.esa-landcover-cci.org/?q=node/164

The DustCOMM data set: Dust Constraints from joint Observational-Modelling-Experimental analysis UCLA https://dustcomm.atmos.ucla.edu

Model code and software

dmleung/dustemismodel2022: Initial release D. M. Leung https://doi.org/10.5281/zenodo.7811426

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Short summary

Desert dust modeling is important for understanding climate change, as dust regulates the atmosphere's greenhouse effect and radiation. This study formulates and proposes a more physical and realistic desert dust emission scheme for global and regional climate models. By considering more aeolian processes in our emission scheme, our simulations match better against dust observations than existing schemes. We believe this work is vital in improving dust representation in climate models.