Articles | Volume 22, issue 5
https://doi.org/10.5194/acp-22-3303-2022
https://doi.org/10.5194/acp-22-3303-2022
Research article
 | 
14 Mar 2022
Research article |  | 14 Mar 2022

Quantifying albedo susceptibility biases in shallow clouds

Graham Feingold, Tom Goren, and Takanobu Yamaguchi

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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Short summary
The evaluation of radiative forcing associated with aerosol–cloud interactions remains a significant source of uncertainty in future climate projections. Using high-resolution numerical model output, we mimic typical satellite retrieval methodologies to show that data aggregation can introduce significant error (hundreds of percent) in the cloud albedo susceptibility metric. Spatial aggregation errors tend to be countered by temporal aggregation errors.
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