Articles | Volume 17, issue 5
https://doi.org/10.5194/acp-17-3253-2017
https://doi.org/10.5194/acp-17-3253-2017
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, Natalie M. Mahowald, Samuel Albani, Aaron Perry, Remi Losno, Zihan Qu, Beatrice Marticorena, David A. Ridley, and Colette L. Heald

Viewed

Total article views: 2,728 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,666 958 104 2,728 459 92 94
  • HTML: 1,666
  • PDF: 958
  • XML: 104
  • Total: 2,728
  • Supplement: 459
  • BibTeX: 92
  • EndNote: 94
Views and downloads (calculated since 29 Aug 2016)
Cumulative views and downloads (calculated since 29 Aug 2016)

Viewed (geographical distribution)

Total article views: 2,728 (including HTML, PDF, and XML) Thereof 2,748 with geography defined and -20 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Discussed (preprint)

Latest update: 14 Oct 2024
Download
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.
Altmetrics
Final-revised paper
Preprint