Articles | Volume 24, issue 4
https://doi.org/10.5194/acp-24-2287-2024
© Author(s) 2024. 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-24-2287-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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)
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
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
Simone Tilmes
Atmospheric Chemistry Observations and Modeling Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA
Erik Kluzek
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA
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
Viewed
Total article views: 7,543 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jun 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,611 | 2,546 | 386 | 7,543 | 690 | 470 | 482 |
- HTML: 4,611
- PDF: 2,546
- XML: 386
- Total: 7,543
- Supplement: 690
- BibTeX: 470
- EndNote: 482
Total article views: 4,017 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Feb 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,869 | 883 | 265 | 4,017 | 366 | 349 | 329 |
- HTML: 2,869
- PDF: 883
- XML: 265
- Total: 4,017
- Supplement: 366
- BibTeX: 349
- EndNote: 329
Total article views: 3,526 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jun 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,742 | 1,663 | 121 | 3,526 | 324 | 121 | 153 |
- HTML: 1,742
- PDF: 1,663
- XML: 121
- Total: 3,526
- Supplement: 324
- BibTeX: 121
- EndNote: 153
Viewed (geographical distribution)
Total article views: 7,543 (including HTML, PDF, and XML)
Thereof 7,439 with geography defined
and 104 with unknown origin.
Total article views: 4,017 (including HTML, PDF, and XML)
Thereof 3,943 with geography defined
and 74 with unknown origin.
Total article views: 3,526 (including HTML, PDF, and XML)
Thereof 3,496 with geography defined
and 30 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
10 citations as recorded by crossref.
- Dust Transport from North Africa to the Middle East: Synoptic Patterns and Numerical Forecast S. Karami et al. https://doi.org/10.3390/atmos15050531
- Vegetation drag partition effects redistribute dust globally S. Xu et al. https://doi.org/10.5194/acp-26-6321-2026
- Improving annual fine mineral dust representation from the surface to the column in GEOS-Chem 14.4.1 D. Zhang et al. https://doi.org/10.5194/gmd-18-6767-2025
- The changing role of dust and open fires PM2.5 on Africa’s air quality and human health A. Aboagye-Okyere et al. https://doi.org/10.1088/1748-9326/adf07e
- Rising dust pollution across Europe in a changing climate P. Vasilakos et al. https://doi.org/10.1038/s41586-026-10743-w
- Identifying Dominant Drivers of Wind Erosion and Assessing Ecological Risk on the Qinghai-Tibet Plateau Using an XGBoost-SHAP Model S. Ouyang et al. https://doi.org/10.1051/e3sconf/202671101014
- Quantitative estimation models of relationship between aeolian sand and soil geochemical composition based on machine learning algorithm W. Wen et al. https://doi.org/10.1016/j.apgeochem.2025.106528
- Geotechnical Controls on Land Degradation in Drylands: Indicators and Mitigation for Infrastructure and Renewable Energy H. Alharbi https://doi.org/10.3390/su18010242
- A global dust emission dataset for estimating dust radiative forcings in climate models D. Leung et al. https://doi.org/10.5194/acp-25-2311-2025
- Atmospheric methane lifetime during the Last Glacial Maximum was reduced owing to dust-mediated chlorine chemistry D. Meidan et al. https://doi.org/10.1126/science.aec4071
10 citations as recorded by crossref.
- Dust Transport from North Africa to the Middle East: Synoptic Patterns and Numerical Forecast S. Karami et al. https://doi.org/10.3390/atmos15050531
- Vegetation drag partition effects redistribute dust globally S. Xu et al. https://doi.org/10.5194/acp-26-6321-2026
- Improving annual fine mineral dust representation from the surface to the column in GEOS-Chem 14.4.1 D. Zhang et al. https://doi.org/10.5194/gmd-18-6767-2025
- The changing role of dust and open fires PM2.5 on Africa’s air quality and human health A. Aboagye-Okyere et al. https://doi.org/10.1088/1748-9326/adf07e
- Rising dust pollution across Europe in a changing climate P. Vasilakos et al. https://doi.org/10.1038/s41586-026-10743-w
- Identifying Dominant Drivers of Wind Erosion and Assessing Ecological Risk on the Qinghai-Tibet Plateau Using an XGBoost-SHAP Model S. Ouyang et al. https://doi.org/10.1051/e3sconf/202671101014
- Quantitative estimation models of relationship between aeolian sand and soil geochemical composition based on machine learning algorithm W. Wen et al. https://doi.org/10.1016/j.apgeochem.2025.106528
- Geotechnical Controls on Land Degradation in Drylands: Indicators and Mitigation for Infrastructure and Renewable Energy H. Alharbi https://doi.org/10.3390/su18010242
- A global dust emission dataset for estimating dust radiative forcings in climate models D. Leung et al. https://doi.org/10.5194/acp-25-2311-2025
- Atmospheric methane lifetime during the Last Glacial Maximum was reduced owing to dust-mediated chlorine chemistry D. Meidan et al. https://doi.org/10.1126/science.aec4071
Saved (final revised paper)
Latest update: 10 Oct 2026
Short summary
This study uses a premier Earth system model to evaluate a new desert dust emission scheme proposed in our companion paper. We show that our scheme accounts for more dust emission physics, hence matching better against observations than other existing dust emission schemes do. Our scheme's dust emissions also couple tightly with meteorology, hence likely improving the modeled dust sensitivity to climate change. We believe this work is vital for improving dust representation in climate models.
This study uses a premier Earth system model to evaluate a new desert dust emission scheme...
Altmetrics
Final-revised paper
Preprint