Articles | Volume 19, issue 16
https://doi.org/10.5194/amt-19-5475-2026
https://doi.org/10.5194/amt-19-5475-2026
Research article
 | 
26 Aug 2026
Research article |  | 26 Aug 2026

Sensitivity of bi-spectral retrievals to the fixed effective variance assumption in ship tracks

Iarla Boyce, Alice Cicirello, and Edward Gryspeerdt

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EGUsphere, https://doi.org/10.5194/egusphere-2026-5483,https://doi.org/10.5194/egusphere-2026-5483, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Cited articles

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Boyce, I., Gryspeerdt, E., and Cicirello, A.: Analysis code for: Sensitivity of bi-spectral cloud retrievals to the fixed effective variance assumption, Zenodo [software], https://doi.org/10.5281/zenodo.20328197, 2026a. a
Boyce, I., Gryspeerdt, E., and Cicirello, A.: Assessing retrieval biases in ship tracks, Zenodo [data set], https://doi.org/10.5281/zenodo.19699485, 2026b. a
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Short summary
We tested whether satellites accurately measure clouds affected by ship pollution. Using computer simulations, we found that satellites overestimate how much cloud droplet numbers rise in polluted ship tracks compared to nearby clean clouds. This means the cooling effect of pollution on clouds may be overstated, which matters for strategies like marine cloud brightening that aim to boost this cooling effect deliberately.
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