Articles | Volume 17, issue 5
Atmos. Chem. Phys., 17, 3687–3698, 2017
https://doi.org/10.5194/acp-17-3687-2017
Atmos. Chem. Phys., 17, 3687–3698, 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 et al.

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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
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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.
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