http://rsta.royalsocietypublishing.org/content/372/2031/20140052

Process-model simulations of cloud albedo enhancement by aerosols in the
Arctic

Ben Kravitz, Hailong Wang, Philip J. Rasch, Hugh Morrison, Amy B. Solomon
DOI: 10.1098/rsta.2014.0052
Published 17 November 2014

Abstract

A cloud-resolving model is used to simulate the effectiveness of Arctic
marine cloud brightening via injection of cloud condensation nuclei (CCN),
either through geoengineering or other increased sources of Arctic
aerosols. An updated cloud microphysical scheme is employed, with
prognostic CCN and cloud particle numbers in both liquid and mixed-phase
marine low clouds. Injection of CCN into the marine boundary layer can
delay the collapse of the boundary layer and increase low-cloud albedo.
Albedo increases are stronger for pure liquid clouds than mixed-phase
clouds. Liquid precipitation can be suppressed by CCN injection, whereas
ice precipitation (snow) is affected less; thus, the effectiveness of
brightening mixed-phase clouds is lower than for liquid-only clouds. CCN
injection into a clean regime results in a greater albedo increase than
injection into a polluted regime, consistent with current knowledge about
aerosol–cloud interactions. Unlike previous studies investigating warm
clouds, dynamical changes in circulation owing to precipitation changes are
small. According to these results, which are dependent upon the
representation of ice nucleation processes in the employed microphysical
scheme, Arctic geoengineering is unlikely to be effective as the sole means
of altering the global radiation budget but could have substantial local
radiative effects.

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