Droplet collection efficiencies inferred from satellite retrievals constrain effective radiative forcing of aerosol–cloud interactions

Beall, Charlotte M.; Ma, Po-Lun; Christensen, Matthew W.; Mülmenstädt, Johannes; Varble, Adam; Suzuki, Kentaroh; Michibata, Takuro

doi:https://doi.org/10.5194/acp-24-5287-2024

Articles | Volume 24, issue 9

https://doi.org/10.5194/acp-24-5287-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-24-5287-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 9

Research article

|

07 May 2024

Research article |

| 07 May 2024

Droplet collection efficiencies inferred from satellite retrievals constrain effective radiative forcing of aerosol–cloud interactions

Charlotte M. Beall, Po-Lun Ma, Matthew W. Christensen, Johannes Mülmenstädt, Adam Varble, Kentaroh Suzuki, and Takuro Michibata

Supplement

https://doi.org/10.5194/acp-24-5287-2024-supplement

Data sets

Dataset for "Droplet collection efficiencies inferred from satellite retrievals constrain effective radiative forcing of aerosol-cloud interactions" Charlotte Beall, Po-Lun Ma, Matthew W. Christensen, Johannes Mülmenstädt, Adam Varble, Kentaroh Suzuki, and Takuro Michibata https://doi.org/10.5281/zenodo.8384180

CloudSat Database NASA https://www.cloudsat.cira.colostate.edu/

Model code and software

cbeall123/COSPv2.0: UpdatedWRDs Charlotte Beall, Po-Lun Ma, Takuro Michibata, Dustin Swales, Rodrigo Guzman, Robert Pincus, Alejandro Bodas, and Benjamin R. Hillman https://doi.org/10.5281/zenodo.8371120

Multi-dimensional statistical tests with python ndtest https://github.com/syrte/ndtest/

scikit-learn/scikit-learn: Scikit-learn 1.4.2 (1.4.2) O. Grisel et al. https://doi.org/10.5281/zenodo.10951361

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Short summary

Single-layer warm liquid clouds cover nearly one-third of the Earth's surface, and uncertainties regarding the impact of aerosols on their radiative properties pose a significant challenge to climate prediction. Here, we demonstrate how satellite observations can be used to constrain Earth system model estimates of the radiative forcing from the interactions of aerosols with clouds due to warm rain processes.