Articles | Volume 21, issue 13
https://doi.org/10.5194/acp-21-10295-2021
© Author(s) 2021. 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-21-10295-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jul 2021
Research article |
| 08 Jul 2021
| 08 Jul 2021
Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust
Ramiro Checa-Garcia
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, IPSL, Gif-sur-Yvette, France
Yves Balkanski
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, IPSL, Gif-sur-Yvette, France
Samuel Albani
Department of Environmental and Earth Sciences,
University of Milano-Bicocca, Milan, Italy
Tommi Bergman
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Ken Carslaw
Institute for Climate and Atmospheric Science, School of Earth
& Environment, University of Leeds, Leeds, United Kingdom
Anne Cozic
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, IPSL, Gif-sur-Yvette, France
Chris Dearden
Centre for Environmental Modelling and Computation (CEMAC),
School of Earth and Environment, University of Leeds, Leeds, UK
Beatrice Marticorena
Laboratoire Interuniversitaire des Systèmes Atmosphériques, Universités Paris Est-Paris Diderot-Paris 7, UMR CNRS 7583, Créteil, France
Martine Michou
CNRM, Université de Toulouse, Météo‐France, CNRS, Toulouse,
France
Twan van Noije
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Pierre Nabat
CNRM, Université de Toulouse, Météo‐France, CNRS, Toulouse,
France
Fiona M. O'Connor
Met Office Hadley Centre, Exeter, United Kingdom
Dirk Olivié
Norwegian Meteorological Institute, Oslo, Norway
Joseph M. Prospero
Department of Atmospheric Sciences, University of Miami, Miami, USA
Philippe Le Sager
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Michael Schulz
Norwegian Meteorological Institute, Oslo, Norway
Catherine Scott
Institute for Climate and Atmospheric Science, School of Earth
& Environment, University of Leeds, Leeds, United Kingdom
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Cited
21 citations as recorded by crossref.
- Aircraft observations of aerosol and BC during the East Asian dust storm event: Vertical profiles, size distribution and mixing state X. Liu et al. 10.1016/j.atmosenv.2024.120492
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- Description of Dust Emission Parameterization in CAS‐ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events C. Wu et al. 10.1029/2020MS002456
- Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. 10.5194/gmd-17-2387-2024
- EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. 10.5194/gmd-14-5637-2021
- Below-cloud scavenging of aerosol by rain: a review of numerical modelling approaches and sensitivity simulations with mineral dust in the Met Office's Unified Model A. Jones et al. 10.5194/acp-22-11381-2022
- The simulation of mineral dust in the United Kingdom Earth System Model UKESM1 S. Woodward et al. 10.5194/acp-22-14503-2022
- Changes in Dust Emissions in the Gobi Desert due to Global Warming Using MRI-ESM2.0 T. Maki et al. 10.2151/sola.2022-035
- Multi-model ensemble projection of the global dust cycle by the end of 21st century using the Coupled Model Intercomparison Project version 6 data Y. Zhao et al. 10.5194/acp-23-7823-2023
- Progress in Dust Modelling, Global Dust Budgets, and Soil Organic Carbon Dynamics W. Chen et al. 10.3390/land11020176
- Better representation of dust can improve climate models with too weak an African monsoon Y. Balkanski et al. 10.5194/acp-21-11423-2021
- A review of coarse mineral dust in the Earth system A. Adebiyi et al. 10.1016/j.aeolia.2022.100849
- UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model J. Mulcahy et al. 10.5194/gmd-16-1569-2023
- Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. 10.5194/acp-23-5435-2023
- Aerosol absorption in global models from AeroCom phase III M. Sand et al. 10.5194/acp-21-15929-2021
- Modelling the 2021 East Asia super dust storm using FLEXPART and FLEXDUST and its comparison with reanalyses and observations H. Tang et al. 10.3389/fenvs.2022.1013875
- Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts M. Gonçalves Ageitos et al. 10.5194/acp-23-8623-2023
- Letter to the Editor regarding Chappell et al., 2023, “Satellites reveal Earth's seasonally shifting dust emission sources” N. Mahowald et al. 10.1016/j.scitotenv.2024.174792
- Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2 K. Klingmüller & J. Lelieveld 10.5194/gmd-16-3013-2023
- 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
- Contribution of the world's main dust source regions to the global cycle of desert dust J. Kok et al. 10.5194/acp-21-8169-2021
19 citations as recorded by crossref.
- Aircraft observations of aerosol and BC during the East Asian dust storm event: Vertical profiles, size distribution and mixing state X. Liu et al. 10.1016/j.atmosenv.2024.120492
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- Description of Dust Emission Parameterization in CAS‐ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events C. Wu et al. 10.1029/2020MS002456
- Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. 10.5194/gmd-17-2387-2024
- EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. 10.5194/gmd-14-5637-2021
- Below-cloud scavenging of aerosol by rain: a review of numerical modelling approaches and sensitivity simulations with mineral dust in the Met Office's Unified Model A. Jones et al. 10.5194/acp-22-11381-2022
- The simulation of mineral dust in the United Kingdom Earth System Model UKESM1 S. Woodward et al. 10.5194/acp-22-14503-2022
- Changes in Dust Emissions in the Gobi Desert due to Global Warming Using MRI-ESM2.0 T. Maki et al. 10.2151/sola.2022-035
- Multi-model ensemble projection of the global dust cycle by the end of 21st century using the Coupled Model Intercomparison Project version 6 data Y. Zhao et al. 10.5194/acp-23-7823-2023
- Progress in Dust Modelling, Global Dust Budgets, and Soil Organic Carbon Dynamics W. Chen et al. 10.3390/land11020176
- Better representation of dust can improve climate models with too weak an African monsoon Y. Balkanski et al. 10.5194/acp-21-11423-2021
- A review of coarse mineral dust in the Earth system A. Adebiyi et al. 10.1016/j.aeolia.2022.100849
- UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model J. Mulcahy et al. 10.5194/gmd-16-1569-2023
- Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. 10.5194/acp-23-5435-2023
- Aerosol absorption in global models from AeroCom phase III M. Sand et al. 10.5194/acp-21-15929-2021
- Modelling the 2021 East Asia super dust storm using FLEXPART and FLEXDUST and its comparison with reanalyses and observations H. Tang et al. 10.3389/fenvs.2022.1013875
- Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts M. Gonçalves Ageitos et al. 10.5194/acp-23-8623-2023
- Letter to the Editor regarding Chappell et al., 2023, “Satellites reveal Earth's seasonally shifting dust emission sources” N. Mahowald et al. 10.1016/j.scitotenv.2024.174792
- Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2 K. Klingmüller & J. Lelieveld 10.5194/gmd-16-3013-2023
2 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 23 Nov 2024
Short summary
Thousands of tons of dust are emitted into the atmosphere every year, producing important impacts on the Earth system. However, current global climate models are not yet able to reproduce dust emissions, transport and depositions with the desirable accuracy. Our study analyses five different Earth system models to report aspects to be improved to reproduce better available observations, increase the consistency between models and therefore decrease the current uncertainties.
Thousands of tons of dust are emitted into the atmosphere every year, producing important...
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Final-revised paper
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