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Marine cloud brightening: Constraining small-scale uncertainty

Authors: Hoffmann, F.; Kainz, J.; Lim, J.; Ollmann, S.; Prabhakaran, P.; Feingold, G.;

Marine cloud brightening: Constraining small-scale uncertainty

Abstract

Marine cloud brightening (MCB) is a suggested climate engineering approach to counteract some consequences of global warming on regional and global scales by increasing the amount of shortwave radiation reflected by shallow marine clouds through the seeding of sea salt aerosol particles. However, assessing the potentials, as well as the risks of MCB requires a multiscale perspective, covering not only the intended and unintended large-scale impacts, but also critical small-scale aspects, e.g., the seeded aerosol size distribution or changes in cloud turbulence, which are usually neglected or only crudely parameterized in large-scale assessments. Therefore, a highly detailed representation of aerosol and cloud microphysics is necessary to reduce these uncertainties. In this talk, we will summarize our recent Lagrangian cloud modeling (LCM) studies that allowed us to assess (a) the implications of the seeded aerosol size distribution on the efficacy of MCB, highlighting unintended consequences of adding either too large or too many aerosol particles, (b) implications for radiative transfer calculations, and (c) first results on the impacts of chemical components in the seeded aerosol. Understanding these small-scale aspects is essential for science-based decision-making on MCB and hence its potential realization in the future.

The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Country
Germany
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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