Microphysical fingerprints in anvil cloud albedo

Finney, Declan L.; Blyth, Alan M.; Field, Paul R.; Daily, Martin I.; Murray, Benjamin J.; Sun, Mengyu; Connolly, Paul J.; Cui, Zhiqiang; Böing, Steven

doi:https://doi.org/10.5194/acp-25-10907-2025

Articles | Volume 25, issue 18

https://doi.org/10.5194/acp-25-10907-2025

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

https://doi.org/10.5194/acp-25-10907-2025

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

Articles | Volume 25, issue 18

Research article

|

22 Sep 2025

Research article |

| 22 Sep 2025

Microphysical fingerprints in anvil cloud albedo

Declan L. Finney, Alan M. Blyth, Paul R. Field, Martin I. Daily, Benjamin J. Murray, Mengyu Sun, Paul J. Connolly, Zhiqiang Cui, and Steven Böing

Supplement

https://doi.org/10.5194/acp-25-10907-2025-supplement

Data sets

UM-CASIM Simulation Data for campaign cases from the DCMEX Project Declan Finney https://catalogue.ceda.ac.uk/uuid/b850297a4de4493b8ff048f574811e25/

DCMEX: Collection of in-situ air- borne observations, ground-based meteorological and aerosol measurements and cloud imagery for the Deep Convective Mi- crophysics Experiment Facility for Airborne Atmospheric Measurements et al. http://catalogue.ceda.ac. uk/uuid/b1211ad185e24b488d41dd98f957506c

Dataset for Airborne observations of ice-nucleating particles during the 2022 DCMEX campaign, New Mexico M. I. Daily et al. https://doi.org/10.5518/1476

ERA5 hourly data on single levels from 1940 to present Copernicus Climate Change Service https://doi.org/10.24381/cds.adbb2d47

ERA5 hourly data on pressure levels from 1940 to present Copernicus Climate Change Service https://doi.org/10.24381/cds.bd0915c6

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Short summary

We present observation-informed modelling from the Deep Convective Microphysics Experiment (DCMEX) to study how environmental conditions and cloud processes affect anvil cloud albedo and radiation. Aerosols influencing cloud droplets or influencing ice formation yield varying radiative effects. We introduce fingerprint metrics to discern these effects. Using detailed observations and modelling, we offer insights into high-cloud radiative effects and feedbacks.