Articles | Volume 17, issue 5
https://doi.org/10.5194/acp-17-3687-2017
https://doi.org/10.5194/acp-17-3687-2017
Research article
 | 
16 Mar 2017
Research article |  | 16 Mar 2017

A new statistical approach to improve the satellite-based estimation of the radiative forcing by aerosol–cloud interactions

Piyushkumar N. Patel, Johannes Quaas, and Raj Kumar

Viewed

Total article views: 3,628 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,318 1,169 141 3,628 538 124 159
  • HTML: 2,318
  • PDF: 1,169
  • XML: 141
  • Total: 3,628
  • Supplement: 538
  • BibTeX: 124
  • EndNote: 159
Views and downloads (calculated since 07 Sep 2016)
Cumulative views and downloads (calculated since 07 Sep 2016)

Viewed (geographical distribution)

Total article views: 3,628 (including HTML, PDF, and XML) Thereof 3,628 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 11 May 2026
Download
Short summary
Radiative forcing by aerosol–cloud interactions (RFaci) remains highly uncertain and difficult to quantify on the basis of current knowledge. The present study reassesses the estimated RFaci by using a new statistical fitting approach, which improves the quantification of RFaci with less uncertainty. The present work helps to improve the parameterisation of RFaci in the present climate model.
Share
Altmetrics
Final-revised paper
Preprint