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

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Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

Bellouin, N., Jones, A., Haywood, J., and Christopher, S. A.: Updated estimate of aerosol direct Radiative forcing from satellite observations and comparison against the centre climate model, J. Geophys. Res. Atmos., 113, D10205, https://doi.org/10.1029/2007JD009385, 2008.
Bellouin, N., Quaas, J., Morcrette, J. J., and Boucher, O.: Estimates of aerosol radiative forcing from the MACC re-analysis, Atmos. Chem. Phys., 13, 2045–2062, https://doi.org/10.5194/acp-13-2045-2013, 2013.
Bennartz, R.: Global assessment of marine boundary layer cloud droplet number concentration from satellite, J. Geophys. Res., 112, D02201, https://doi.org/10.1029/2006jd007547, 2007.
Bennartz, R. and Rausch, J.: Global and regional estimates of warm cloud droplet number concentration based on 13 years of AQUA-MODIS observations, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2016-1130, in review, 2017.
Brenguier, J.-L., Pawlowska, H., Schüller, L., Preusker, R., Fischer, J., and Fouquart, Y.: Radiative Properties of Boundary Layer Clouds: Droplet Effective Radius versus Number Concentration, J. Atmos. Sci., 57, 803–821, 2000.
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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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