https://egusphere.copernicus.org/preprints/2025/egusphere-2025-3877/

*Authors: *Anna Tippett, Paul R. Field, and Edward Gryspeerdt

*26 August 2025*

*Abstract*
Clouds, and in particular their interactions with aerosols, remain a major
source of uncertainty in climate projections, due to the wide range of
scales over which cloud processes act on. This uncertainty limits our
capability to simulate potential solar radiation management strategies,
such as marine cloud brightening (MCB). A good natural analogue for
investigating MCB is analysis of ship tracks, as they mimic the intended
effect and allow us to investigate time evolving aerosol perturbations. In
this study, we model a real case of ship tracks, and evaluate model
performance through comparisons with satellite observations. We evaluate
our model simulations against three criteria, in order to ascertain whether
this model is suitable for simulating MCB accurately. Our findings
highlight a key deficiency in activation parameterisations when simulating
high aerosol concentrations – such as those expected in MCB scenarios.
While the model can replicate the mean cloud properties within ship tracks,
it struggles to capture their temporal evolution. Specifically, in
precipitating clouds, enhancements in droplet number concentration (Nd) and
liquid water path (LWP) are overestimated and persist too long. This
discrepancy between model and observations is linked to excessive model
sensitivity to aerosol loading in precipitating conditions, leading to
unrealistically easy suppression of drizzle, and ultimately resulting in
simulated ship tracks which overestimate the cooling effect in these cases.
We identify scenarios in which current formulations of parameterisations
are not suitable for use in simulating high-concentration aerosol
perturbations, such as MCB, and scenarios in which models are more capable.

*Source: EGU Sphere*

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