Articles | Volume 17, issue 16
https://doi.org/10.5194/acp-17-9797-2017
https://doi.org/10.5194/acp-17-9797-2017
Research article
 | 
22 Aug 2017
Research article |  | 22 Aug 2017

Top-down and bottom-up aerosol–cloud closure: towards understanding sources of uncertainty in deriving cloud shortwave radiative flux

Kevin J. Sanchez, Gregory C. Roberts, Radiance Calmer, Keri Nicoll, Eyal Hashimshoni, Daniel Rosenfeld, Jurgita Ovadnevaite, Jana Preissler, Darius Ceburnis, Colin O'Dowd, and Lynn M. Russell

Viewed

Total article views: 3,729 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,469 1,142 118 3,729 69 107
  • HTML: 2,469
  • PDF: 1,142
  • XML: 118
  • Total: 3,729
  • BibTeX: 69
  • EndNote: 107
Views and downloads (calculated since 21 Mar 2017)
Cumulative views and downloads (calculated since 21 Mar 2017)

Viewed (geographical distribution)

Total article views: 3,729 (including HTML, PDF, and XML) Thereof 3,716 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 24 Apr 2024
Download
Short summary
Unmanned aerial vehicles are equipped with meteorological sensors to measure cloud properties. The measurements are used to calculate the amount of solar radiation reflected by the clouds and compared to simulation results. The uncertainties related to radiative forcing in the simulations are from the lack of mixing in the boundary layer and mixing of dry air into the cloud top. Conservative variables are used to calculate the amount of air mixed into cloud top to minimize these uncertainties.
Altmetrics
Final-revised paper
Preprint