Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 17, 3687-3698, 2017
http://www.atmos-chem-phys.net/17/3687/2017/
doi:10.5194/acp-17-3687-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
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 et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Reviewer comments:acp-2016-680', Anonymous Referee #1, 22 Sep 2016 Printer-friendly Version 
AC1: 'Response to the Anonymous Referee 1's Comments', Piyush Patel, 02 Feb 2017 Printer-friendly Version Supplement 
 
RC2: 'Review of ``A new statistical approach to improve the satellite based estimation of the radiative forcing by aerosol-cloud interactions''', Anonymous Referee #3, 29 Nov 2016 Printer-friendly Version 
AC2: 'Response to the Anonymous Referee 3's Comments', Piyush Patel, 02 Feb 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Piyush Patel on behalf of the Authors (13 Feb 2017)  Author's response  Manuscript
ED: Publish as is (13 Feb 2017) by Armin Sorooshian
Publications Copernicus
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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.
Radiative forcing by aerosol–cloud interactions (RFaci) remains highly uncertain and difficult...
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