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The Radiative and Cloud Responses to Sea Salt Aerosol Engineering in GFDL Models

doi: 10.1029/2022gl102340
AbstractMarine cloud brightening is a proposal to counteract global warming by increasing sea salt aerosol emissions. In theory, this increases the cloud droplet number concentration of subtropical marine stratocumulus decks, increasing cloud brightness and longevity. However, this theoretical progression remains uncertain in coupled climate models, especially the response of liquid water path and cloud fraction to aerosol seeding. We use the GFDL CM4 climate model to simulate marine cloud brightening following the published G4sea‐salt protocol, in which sea salt aerosol emissions are uniformly increased over 30 S–30 N in addition to standard forcings from a SSP2‐4.5 future warming scenario. The perturbed radiative and cloud responses are temporally stable though spatially heterogeneous, and direct scattering by the added sea salt predominates over changes to cloud reflectance. In fact, feedbacks in the coupled simulation lead to a net warming, rather than cooling, response by clouds.
- Boston College United States
- Geophysical Fluid Dynamics Laboratory United States
- Columbia University United States
- Lamont-Doherty Earth Observatory United States
- Geophysical Fluid Dynamics Laboratory United States
climate intervention, QC801-809, Geophysics. Cosmic physics, aerosol–cloud interactions, aerosol direct effects, climate change, cloud radiative effects, marine cloud brightening
climate intervention, QC801-809, Geophysics. Cosmic physics, aerosol–cloud interactions, aerosol direct effects, climate change, cloud radiative effects, marine cloud brightening
citations 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).5 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
