Articles | Volume 17, issue 21
https://doi.org/10.5194/acp-17-13151-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-13151-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Nov 2017
Research article |
| 07 Nov 2017
Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate
Matthew W. Christensen
CORRESPONDING AUTHOR
RAL Space, STFC Rutherford Appleton Laboratory, Harwell, OX11 0QX, UK
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, UK
David Neubauer
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, 8092, Switzerland
Caroline A. Poulsen
RAL Space, STFC Rutherford Appleton Laboratory, Harwell, OX11 0QX, UK
Gareth E. Thomas
RAL Space, STFC Rutherford Appleton Laboratory, Harwell, OX11 0QX, UK
Gregory R. McGarragh
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, UK
Adam C. Povey
National Centre for Earth Observation, University of Oxford, Oxford, OX1 3PU, UK
Simon R. Proud
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, UK
Roy G. Grainger
National Centre for Earth Observation, University of Oxford, Oxford, OX1 3PU, UK
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Latest update: 14 Dec 2024
Short summary
The cloud-aerosol pairing algorithm (CAPA) is developed to quantify the impact of near-cloud aerosol retrievals on satellite-based aerosol–cloud statistical relationships. We find that previous satellite-based radiative forcing estimates of aerosol–cloud interactions represented in key climate reports are likely exaggerated by up to 50 % due to including retrieval artefacts in the aerosols located near clouds. It is demonstrated that this retrieval artefact can be corrected in current products.
The cloud-aerosol pairing algorithm (CAPA) is developed to quantify the impact of near-cloud...
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