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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Total article views: 4,900 (including HTML, PDF, and XML)
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Cited
14 citations as recorded by crossref.
- Different Shades of Green: EU Corporate Disclosure Rules and Their Effectiveness in Limiting “Greenwashing” C. Papathanassiou & M. Nieto
- Different Shades of Green: An Analysis of the EU Issuers' Disclosure Regulation and Its Effectiveness on Limiting 'Greenwashing' C. Papathanassiou & M. Nieto
- Evaluating the Effect of Emission Schemes on Dust Simulation in East Asia During Spring 2023 S. Wang et al.
- Reducing dependence of modeled resuspended volcanic ash on meteorological grid resolution A. Crawford et al.
- A Lagrangian view on severe haze in Beijing: local and long-range sources of trace gases and primary and secondary aerosols B. Foreback et al.
- Study on the influence of key parameters of sand emission on dust flux based on multi-source data M. Maihamuti et al.
- Simulating dust emissions and secondary organic aerosol formation over northern Africa during the mid-Holocene Green Sahara period P. Zhou et al.
- A global dust emission dataset for estimating dust radiative forcings in climate models D. Leung et al.
- The relative importance of wind and hydroclimate drivers in modulating the interannual variability of dust emissions in Earth system models X. Li et al.
- 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.
- Trends and drivers of soluble iron deposition from East Asian dust to the Northwest Pacific: a springtime analysis (2001–2017) H. Zhu et al.
- Improving annual fine mineral dust representation from the surface to the column in GEOS-Chem 14.4.1 D. Zhang et al.
- Dust Transport from North Africa to the Middle East: Synoptic Patterns and Numerical Forecast S. Karami et al.
- 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.
14 citations as recorded by crossref.
- Different Shades of Green: EU Corporate Disclosure Rules and Their Effectiveness in Limiting “Greenwashing” C. Papathanassiou & M. Nieto
- Different Shades of Green: An Analysis of the EU Issuers' Disclosure Regulation and Its Effectiveness on Limiting 'Greenwashing' C. Papathanassiou & M. Nieto
- Evaluating the Effect of Emission Schemes on Dust Simulation in East Asia During Spring 2023 S. Wang et al.
- Reducing dependence of modeled resuspended volcanic ash on meteorological grid resolution A. Crawford et al.
- A Lagrangian view on severe haze in Beijing: local and long-range sources of trace gases and primary and secondary aerosols B. Foreback et al.
- Study on the influence of key parameters of sand emission on dust flux based on multi-source data M. Maihamuti et al.
- Simulating dust emissions and secondary organic aerosol formation over northern Africa during the mid-Holocene Green Sahara period P. Zhou et al.
- A global dust emission dataset for estimating dust radiative forcings in climate models D. Leung et al.
- The relative importance of wind and hydroclimate drivers in modulating the interannual variability of dust emissions in Earth system models X. Li et al.
- 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.
- Trends and drivers of soluble iron deposition from East Asian dust to the Northwest Pacific: a springtime analysis (2001–2017) H. Zhu et al.
- Improving annual fine mineral dust representation from the surface to the column in GEOS-Chem 14.4.1 D. Zhang et al.
- Dust Transport from North Africa to the Middle East: Synoptic Patterns and Numerical Forecast S. Karami et al.
- 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.
Saved (final revised paper)
Latest update: 28 Apr 2026
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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