Articles | Volume 17, issue 5
https://doi.org/10.5194/acp-17-3253-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-3253-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Mar 2017
Research article |
| 07 Mar 2017
Sensitivity of the interannual variability of mineral aerosol simulations to meteorological forcing dataset
Molly B. Smith
CORRESPONDING AUTHOR
Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14850, USA
Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, Albany, NY 12222, USA
Natalie M. Mahowald
Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14850, USA
Samuel Albani
Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14850, USA
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
Aaron Perry
Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14850, USA
Remi Losno
Institut de Physique du Globe de Paris, University of Paris Diderot, USPC, CNRS – UMR7154, Paris, France
Zihan Qu
Institut de Physique du Globe de Paris, University of Paris Diderot, USPC, CNRS – UMR7154, Paris, France
LISA, Universites Paris Est-Paris Diderot-Paris 7, CNRS – UMR7583, Creteil, France
Beatrice Marticorena
LISA, Universites Paris Est-Paris Diderot-Paris 7, CNRS – UMR7583, Creteil, France
David A. Ridley
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Massachusetts, MA 02139, USA
Colette L. Heald
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Massachusetts, MA 02139, USA
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Total article views: 2,731 (including HTML, PDF, and XML)
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Cited
16 citations as recorded by crossref.
- Climate-driven oscillation of phosphorus and iron limitation in the North Pacific Subtropical Gyre R. Letelier et al. 10.1073/pnas.1900789116
- Global and regional importance of the direct dust-climate feedback J. Kok et al. 10.1038/s41467-017-02620-y
- Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
- Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty L. Li et al. 10.5194/acp-21-3973-2021
- A global dust emission dataset for estimating dust radiative forcings in climate models D. Leung et al. 10.5194/acp-25-2311-2025
- High Summertime Aerosol Loadings Over the Arabian Sea and Their Transport Pathways Q. Jin et al. 10.1029/2018JD028588
- An aerosol odyssey: Navigating nutrient flux changes to marine ecosystems D. Hamilton et al. 10.1525/elementa.2023.00037
- Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model T. Dai et al. 10.1016/j.atmosenv.2018.07.016
- Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. 10.1016/j.earscirev.2021.103562
- 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
- AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition N. Mahowald et al. 10.5194/acp-25-4665-2025
- Sensitivity of dust event simulation to dust emission schemes and meteorological forcing datasets in the Belt and Road regions: A case study N. Ren et al. 10.1016/j.atmosres.2024.107817
- Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0) D. Hamilton et al. 10.5194/gmd-12-3835-2019
- Recent (1980 to 2015) Trends and Variability in Daily‐to‐Interannual Soluble Iron Deposition from Dust, Fire, and Anthropogenic Sources D. Hamilton et al. 10.1029/2020GL089688
- Glacially sourced dust as a potentially significant source of ice nucleating particles Y. Tobo et al. 10.1038/s41561-019-0314-x
- Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. 10.5194/acp-21-8127-2021
16 citations as recorded by crossref.
- Climate-driven oscillation of phosphorus and iron limitation in the North Pacific Subtropical Gyre R. Letelier et al. 10.1073/pnas.1900789116
- Global and regional importance of the direct dust-climate feedback J. Kok et al. 10.1038/s41467-017-02620-y
- Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
- Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty L. Li et al. 10.5194/acp-21-3973-2021
- A global dust emission dataset for estimating dust radiative forcings in climate models D. Leung et al. 10.5194/acp-25-2311-2025
- High Summertime Aerosol Loadings Over the Arabian Sea and Their Transport Pathways Q. Jin et al. 10.1029/2018JD028588
- An aerosol odyssey: Navigating nutrient flux changes to marine ecosystems D. Hamilton et al. 10.1525/elementa.2023.00037
- Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model T. Dai et al. 10.1016/j.atmosenv.2018.07.016
- Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. 10.1016/j.earscirev.2021.103562
- 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
- AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition N. Mahowald et al. 10.5194/acp-25-4665-2025
- Sensitivity of dust event simulation to dust emission schemes and meteorological forcing datasets in the Belt and Road regions: A case study N. Ren et al. 10.1016/j.atmosres.2024.107817
- Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0) D. Hamilton et al. 10.5194/gmd-12-3835-2019
- Recent (1980 to 2015) Trends and Variability in Daily‐to‐Interannual Soluble Iron Deposition from Dust, Fire, and Anthropogenic Sources D. Hamilton et al. 10.1029/2020GL089688
- Glacially sourced dust as a potentially significant source of ice nucleating particles Y. Tobo et al. 10.1038/s41561-019-0314-x
- Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. 10.5194/acp-21-8127-2021
Discussed (final revised paper)
Discussed (preprint)
Latest update: 31 Oct 2025
Short summary
Using different meteorology reanalyses to drive dust in climate modeling can produce dissimilar global dust distributions, especially in the Southern Hemisphere (SH). It may therefore not be advisable for SH dust studies to base results on simulations driven by one reanalysis. Northern Hemisphere dust varies mostly on seasonal timescales, while SH dust varies on interannual timescales. Dust is an important part of climate modeling, and we hope this contributes to understanding these simulations.
Using different meteorology reanalyses to drive dust in climate modeling can produce dissimilar...
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Final-revised paper
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