Model analysis of biases in the satellite-diagnosed aerosol effect on the cloud liquid water path

Kokkola, Harri; Tonttila, Juha; Calderón, Silvia M.; Romakkaniemi, Sami; Lipponen, Antti; Peräkorpi, Aapo; Mielonen, Tero; Gryspeerdt, Edward; Virtanen, Timo Henrik; Kolmonen, Pekka; Arola, Antti

doi:https://doi.org/10.5194/acp-25-1533-2025

Articles | Volume 25, issue 3

https://doi.org/10.5194/acp-25-1533-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-1533-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 3

Research article

|

04 Feb 2025

Research article |

| 04 Feb 2025

Model analysis of biases in the satellite-diagnosed aerosol effect on the cloud liquid water path

Harri Kokkola, Juha Tonttila, Silvia M. Calderón, Sami Romakkaniemi, Antti Lipponen, Aapo Peräkorpi, Tero Mielonen, Edward Gryspeerdt, Timo Henrik Virtanen, Pekka Kolmonen, and Antti Arola

Supplement

https://doi.org/10.5194/acp-25-1533-2025-supplement

Data sets

Datasets used in Kokkola et al. (2024) "Model analysis of biases in satellite diagnosed aerosol effect on cloud liquid water path" Harri Kokkola et al. https://doi.org/10.57707/fmi-b2share.8fc77f2c6a8a4deab3de2efd46683010

Model code and software

UCLALES-SALSA Juha Tonttila et al. https://doi.org/10.5281/zenodo.4451735

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Short summary

Understanding how atmospheric aerosols affect clouds is a scientific challenge. One question is how aerosols affects the amount of cloud water. We used a cloud-scale model to study these effects on marine clouds. The study showed that variations in cloud properties and instrument noise can cause bias in satellite-derived cloud water content. However, our results suggest that for similar weather conditions with well-defined aerosol concentrations, satellite data can reliably track these effects.