Articles | Volume 23, issue 15
https://doi.org/10.5194/acp-23-8623-2023
https://doi.org/10.5194/acp-23-8623-2023
Research article
 | 
04 Aug 2023
Research article |  | 04 Aug 2023

Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts

María Gonçalves Ageitos, Vincenzo Obiso, Ron L. Miller, Oriol Jorba, Martina Klose, Matt Dawson, Yves Balkanski, Jan Perlwitz, Sara Basart, Enza Di Tomaso, Jerónimo Escribano, Francesca Macchia, Gilbert Montané, Natalie M. Mahowald, Robert O. Green, David R. Thompson, and Carlos Pérez García-Pando

Viewed

Total article views: 2,989 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,400 526 63 2,989 181 64 55
  • HTML: 2,400
  • PDF: 526
  • XML: 63
  • Total: 2,989
  • Supplement: 181
  • BibTeX: 64
  • EndNote: 55
Views and downloads (calculated since 20 Feb 2023)
Cumulative views and downloads (calculated since 20 Feb 2023)

Viewed (geographical distribution)

Total article views: 2,989 (including HTML, PDF, and XML) Thereof 2,952 with geography defined and 37 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
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.
Share
Altmetrics
Final-revised paper
Preprint