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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jun 2023
Research article |
| 14 Jun 2023
| 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
Department of Atmospheric and Oceanic Sciences, University of
California – Los Angeles, Los Angeles, California, USA
Jasper F. Kok
Department of Atmospheric and Oceanic Sciences, University of
California – Los Angeles, Los Angeles, California, USA
Longlei Li
Department of Earth and Atmospheric Sciences, Cornell
University, Ithaca, New York, USA
Gregory S. Okin
Department of Geography, University of California – Los Angeles, Los Angeles, California, USA
Catherine Prigent
Sorbonne Université, Observatoire de Paris, Université PSL,
CNRS, LERMA, Paris, France
Martina Klose
Department Troposphere Research, Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Carlos Pérez García-Pando
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Catalan Institution for Research and Advanced Studies (ICREA),
Barcelona, Spain
Laurent Menut
Laboratoire de Météorologie Dynamique, École
Polytechnique, Institut Polytechnique de Paris,
Ecole Normale Supérieure, Sorbonne Université, CNRS, Palaiseau,
France
Natalie M. Mahowald
Department of Earth and Atmospheric Sciences, Cornell
University, Ithaca, New York, USA
David M. Lawrence
Climate and Global Dynamics Laboratory, National Center for
Atmospheric Research, Boulder, Colorado, USA
Marcelo Chamecki
Department of Atmospheric and Oceanic Sciences, University of
California – Los Angeles, Los Angeles, California, USA
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Cited
11 citations as recorded by crossref.
- Different Shades of Green: EU Corporate Disclosure Rules and Their Effectiveness in Limiting “Greenwashing” C. Papathanassiou & M. Nieto 10.2139/ssrn.5179587
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part II: Evaluation in the Community Earth System Model version 2 (CESM2) D. Leung et al. 10.5194/acp-24-2287-2024
- Different Shades of Green: An Analysis of the EU Issuers' Disclosure Regulation and Its Effectiveness on Limiting 'Greenwashing' C. Papathanassiou & M. Nieto 10.2139/ssrn.4885291
- Trends and drivers of soluble iron deposition from East Asian dust to the Northwest Pacific: a springtime analysis (2001–2017) H. Zhu et al. 10.5194/acp-25-5175-2025
- Reducing dependence of modeled resuspended volcanic ash on meteorological grid resolution A. Crawford et al. 10.3389/feart.2025.1511847
- Simulating dust emissions and secondary organic aerosol formation over northern Africa during the mid-Holocene Green Sahara period P. Zhou et al. 10.5194/cp-19-2445-2023
- Dust Transport from North Africa to the Middle East: Synoptic Patterns and Numerical Forecast S. Karami et al. 10.3390/atmos15050531
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. 10.5194/acp-23-6487-2023
- A global dust emission dataset for estimating dust radiative forcings in climate models D. Leung et al. 10.5194/acp-25-2311-2025
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. 10.5194/acp-23-6487-2023
- Importance of different parameterization changes for the updated dust cycle modeling in the Community Atmosphere Model (version 6.1) L. Li et al. 10.5194/gmd-15-8181-2022
9 citations as recorded by crossref.
- Different Shades of Green: EU Corporate Disclosure Rules and Their Effectiveness in Limiting “Greenwashing” C. Papathanassiou & M. Nieto 10.2139/ssrn.5179587
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part II: Evaluation in the Community Earth System Model version 2 (CESM2) D. Leung et al. 10.5194/acp-24-2287-2024
- Different Shades of Green: An Analysis of the EU Issuers' Disclosure Regulation and Its Effectiveness on Limiting 'Greenwashing' C. Papathanassiou & M. Nieto 10.2139/ssrn.4885291
- Trends and drivers of soluble iron deposition from East Asian dust to the Northwest Pacific: a springtime analysis (2001–2017) H. Zhu et al. 10.5194/acp-25-5175-2025
- Reducing dependence of modeled resuspended volcanic ash on meteorological grid resolution A. Crawford et al. 10.3389/feart.2025.1511847
- Simulating dust emissions and secondary organic aerosol formation over northern Africa during the mid-Holocene Green Sahara period P. Zhou et al. 10.5194/cp-19-2445-2023
- Dust Transport from North Africa to the Middle East: Synoptic Patterns and Numerical Forecast S. Karami et al. 10.3390/atmos15050531
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. 10.5194/acp-23-6487-2023
- A global dust emission dataset for estimating dust radiative forcings in climate models D. Leung et al. 10.5194/acp-25-2311-2025
2 citations as recorded by crossref.
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. 10.5194/acp-23-6487-2023
- Importance of different parameterization changes for the updated dust cycle modeling in the Community Atmosphere Model (version 6.1) L. Li et al. 10.5194/gmd-15-8181-2022
Latest update: 12 Sep 2025
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.
Desert dust modeling is important for understanding climate change, as dust regulates the...
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