Articles | Volume 20, issue 1
https://doi.org/10.5194/acp-20-55-2020
https://doi.org/10.5194/acp-20-55-2020
Research article
 | 
03 Jan 2020
Research article |  | 03 Jan 2020

Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land–atmosphere model (GFDL AM4.0/LM4.0)

Bing Pu, Paul Ginoux, Huan Guo, N. Christina Hsu, John Kimball, Beatrice Marticorena, Sergey Malyshev, Vaishali Naik, Norman T. O'Neill, Carlos Pérez García-Pando, Juliette Paireau, Joseph M. Prospero, Elena Shevliakova, and Ming Zhao

Viewed

Total article views: 8,280 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,188 5,011 81 8,280 364 74 77
  • HTML: 3,188
  • PDF: 5,011
  • XML: 81
  • Total: 8,280
  • Supplement: 364
  • BibTeX: 74
  • EndNote: 77
Views and downloads (calculated since 19 Mar 2019)
Cumulative views and downloads (calculated since 19 Mar 2019)

Viewed (geographical distribution)

Total article views: 8,280 (including HTML, PDF, and XML) Thereof 7,788 with geography defined and 492 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
Dust emission initiates when surface wind velocities exceed a threshold depending on soil and surface characteristics and varying spatially and temporally. Climate models widely use wind erosion thresholds. The climatological monthly global distribution of the wind erosion threshold, Vthreshold, is retrieved using satellite and reanalysis products and improves the simulation of dust frequency, magnitude, and the seasonal cycle in the Geophysical Fluid Dynamics Laboratory land–atmosphere model.
Altmetrics
Final-revised paper
Preprint