Articles | Volume 23, issue 15
https://doi.org/10.5194/acp-23-8623-2023
© 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-23-8623-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Aug 2023
Research article |
| 04 Aug 2023
| 04 Aug 2023
Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts
María Gonçalves Ageitos
CORRESPONDING AUTHOR
Projects and Construction Engineering Department, Universitat Politècnica de Catalunya, Terrassa, Spain
Barcelona Supercomputing Center, Barcelona, Spain
Vincenzo Obiso
NASA Goddard Institute for Space Studies, New York, NY, USA
Barcelona Supercomputing Center, Barcelona, Spain
Ron L. Miller
NASA Goddard Institute for Space Studies, New York, NY, USA
Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA
Oriol Jorba
Barcelona Supercomputing Center, Barcelona, Spain
Martina Klose
Barcelona Supercomputing Center, Barcelona, Spain
Department Troposphere Research, Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Matt Dawson
Barcelona Supercomputing Center, Barcelona, Spain
currently at: Atmospheric Chemistry Observations and Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Yves Balkanski
Laboratoire des Sciences du Climat et de l’Environnement, Gif-sur-Yvette, France
Jan Perlwitz
NASA Goddard Institute for Space Studies, New York, NY, USA
Climate, Aerosol, and Pollution Research, LLC, The Bronx, NY, USA
Sara Basart
Barcelona Supercomputing Center, Barcelona, Spain
Enza Di Tomaso
Barcelona Supercomputing Center, Barcelona, Spain
currently at: European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Jerónimo Escribano
Barcelona Supercomputing Center, Barcelona, Spain
Francesca Macchia
Barcelona Supercomputing Center, Barcelona, Spain
Gilbert Montané
Barcelona Supercomputing Center, Barcelona, Spain
Natalie M. Mahowald
Cornell University, Ithaca, NY, USA
Robert O. Green
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
David R. Thompson
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Carlos Pérez García-Pando
Barcelona Supercomputing Center, Barcelona, Spain
ICREA, Catalan Institution for Research and Advanced Studies, Barcelona, Spain
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Cited
4 citations as recorded by crossref.
- The Development of METAL-WRF Regional Model for the Description of Dust Mineralogy in the Atmosphere S. Solomos et al. 10.3390/atmos14111615
- Variability in sediment particle size, mineralogy, and Fe mode of occurrence across dust-source inland drainage basins: the case of the lower Drâa Valley, Morocco A. González-Romero et al. 10.5194/acp-23-15815-2023
- The implementation of dust mineralogy in COSMO5.05-MUSCAT S. Gómez Maqueo Anaya et al. 10.5194/gmd-17-1271-2024
- 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
3 citations as recorded by crossref.
- The Development of METAL-WRF Regional Model for the Description of Dust Mineralogy in the Atmosphere S. Solomos et al. 10.3390/atmos14111615
- Variability in sediment particle size, mineralogy, and Fe mode of occurrence across dust-source inland drainage basins: the case of the lower Drâa Valley, Morocco A. González-Romero et al. 10.5194/acp-23-15815-2023
- The implementation of dust mineralogy in COSMO5.05-MUSCAT S. Gómez Maqueo Anaya et al. 10.5194/gmd-17-1271-2024
Latest update: 08 May 2024
Short summary
Dust aerosols affect our climate differently depending on their mineral composition. We include dust mineralogy in an atmospheric model considering two existing soil maps, which still have large associated uncertainties. The soil data and the distribution of the minerals in different aerosol sizes are key to our model performance. We find significant regional variations in climate-relevant variables, which supports including mineralogy in our current models and the need for improved soil maps.
Dust aerosols affect our climate differently depending on their mineral composition. We include...
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