Articles | Volume 16, issue 2
https://doi.org/10.5194/essd-16-941-2024
https://doi.org/10.5194/essd-16-941-2024
Data description paper
 | 
20 Feb 2024
Data description paper |  | 20 Feb 2024

Paleo±Dust: quantifying uncertainty in paleo-dust deposition across archive types

Nicolás J. Cosentino, Gabriela Torre, Fabrice Lambert, Samuel Albani, François De Vleeschouwer, and Aloys J.-M. Bory

Viewed

Total article views: 1,309 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
998 244 67 1,309 60 58 69
  • HTML: 998
  • PDF: 244
  • XML: 67
  • Total: 1,309
  • Supplement: 60
  • BibTeX: 58
  • EndNote: 69
Views and downloads (calculated since 14 Aug 2023)
Cumulative views and downloads (calculated since 14 Aug 2023)

Viewed (geographical distribution)

Total article views: 1,309 (including HTML, PDF, and XML) Thereof 1,281 with geography defined and 28 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Short summary
One of the main uncertainties related to future climate change has to do with how aerosols interact with climate. Dust is the most abundant aerosol in the atmosphere by mass. In order to better understand the links between dust and climate, we can turn to geological archives of ancient dust. Paleo±Dust is a compilation of measured values of the paleo-dust deposition rate. We can use this compilation to guide climate models so that they better represent dust–climate interactions.
Altmetrics
Final-revised paper
Preprint