https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022GL102340

*Authors*

Naser G. A. Mahfouz
<https://agupubs.onlinelibrary.wiley.com/action/doSearch?ContribAuthorRaw=Mahfouz%2C+Naser+G+A>
, Spencer A. Hill
<https://agupubs.onlinelibrary.wiley.com/action/doSearch?ContribAuthorRaw=Hill%2C+Spencer+A>
, Huan Guo
<https://agupubs.onlinelibrary.wiley.com/action/doSearch?ContribAuthorRaw=Guo%2C+Huan>
, Yi Ming
<https://agupubs.onlinelibrary.wiley.com/action/doSearch?ContribAuthorRaw=Ming%2C+Yi>
First published: *17 January 2023*

https://doi.org/10.1029/2022GL102340

Abstract

Marine 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.
Key Points


   -

   Temporally stable climate response to increased sea salt aerosol in
   GFDL’s AM4 and CM4 models following the G4sea-salt protocol
   -

   Dominant role of direct aerosol effects in both models as the indirect
   aerosol–cloud effects are counterbalanced by cloud feedbacks in CM4
   -

   Uncertain spatial radiative and cloud responses necessitating further
   constraining to yield detailed mechanistic understanding

Plain Language Summary

With calls for climate action rising, some countries and groups may be
looking at counteracting global warming. As reducing emissions of
greenhouse gases remains elusive, and while the results of climate change
manifest in extreme events and weather records, state or private actors may
look for active engineering solutions which remain hypothetical and not
fully scientifically understood. Using premier climate models at NOAA GFDL,
we examine one form of climate engineering, marine cloud brightening, aimed
at increasing radiation reflected back to space by increasing sea salt
aerosol emissions in the marine tropics. We find the climate response to a
protocol of this scheme temporally stable over the time period of the
simulation, though spatially uncertain. Moreover, the response is largely
dominated by effects resulting from the direct interactions between aerosol
particles and solar radiation, and not via clouds. Our results paint a more
nuanced picture than previous studies and as such raise more questions and
uncertainties about proposals for marine cloud brightening, at least
through the prism of state-of-the-art climate models.
[image: Details are in the caption following the image]
<https://agupubs.onlinelibrary.wiley.com/cms/asset/d14456d4-e88c-452b-b43e-7f6b21814a38/grl65393-fig-0001-m.jpg>
Figure 1
Caption

Annual global-means shortwave radiation imbalance atop the atmosphere (SWR
TOA) from the fixed-sea surface temperature simulation (2020–2030) and the
coupled simulation (2020–2090). The all-sky (All) radiation is decomposed
into the conventional clear-sky (Clear) and the difference between all-sky
and clear-sky (All − Clear) as well as into the Ghan (2013
<https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022GL102340#grl65393-bib-0010>)
components: the cloud radiative (Cloud), surface albedo (Surface), and
direct radiative (Direct) effects.


[image: Details are in the caption following the image]
<https://agupubs.onlinelibrary.wiley.com/cms/asset/fd18f63b-f452-4a17-b526-3e9b4281eb77/grl65393-fig-0002-m.jpg>
Figure 2
Caption

As in Figure 1
<https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022GL102340#grl65393-fig-0001>
but
spatially averaged over 2020–2030 for AM4 and 2035–2065 for CM4, with
hatched regions corresponding to statistically insignificant differences.


[image: Details are in the caption following the image]
<https://agupubs.onlinelibrary.wiley.com/cms/asset/da7df979-800b-4bd6-b2cc-64f14924ab70/grl65393-fig-0004-m.jpg>
Figure 4
Caption

The regional (NP, SP, and SA) and global cloud properties and the Ghan
radiative components.

*Source: AGU*

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