2014
DOI: 10.1175/jcli-d-13-00401.1
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Contrasting Climate Responses to the Scattering and Absorbing Features of Anthropogenic Aerosol Forcings

Abstract: Anthropogenic aerosols comprise optically scattering and absorbing particles, with the principal concentrations being in the Northern Hemisphere, yielding negative and positive global mean radiative forcings, respectively. Aerosols also influence cloud albedo, yielding additional negative radiative forcings. Climate responses to a comprehensive set of isolated aerosol forcing simulations are investigated in a coupled atmosphere–ocean framework, forced by preindustrial to present-day aerosol-induced radiative p… Show more

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Cited by 53 publications
(55 citation statements)
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“…Radiative forcings are particularly sensitive to vertical distributions of aerosols due to the relative location of clouds, attenuation of insolation, and relative humidity (e.g., Haywood and Ramaswamy, 1998;Ocko et al, 2012;Samset et al, 2013). The vertical profile of absorbing aerosols, in particular, has a strong bearing on the hydrological cycle (Ming et al, 2010;Ocko et al, 2014).…”
Section: B Ocko and P A Ginoux: Comparing Multiple Model-derivementioning
confidence: 99%
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“…Radiative forcings are particularly sensitive to vertical distributions of aerosols due to the relative location of clouds, attenuation of insolation, and relative humidity (e.g., Haywood and Ramaswamy, 1998;Ocko et al, 2012;Samset et al, 2013). The vertical profile of absorbing aerosols, in particular, has a strong bearing on the hydrological cycle (Ming et al, 2010;Ocko et al, 2014).…”
Section: B Ocko and P A Ginoux: Comparing Multiple Model-derivementioning
confidence: 99%
“…Because the horizontal and vertical distributions of anthropogenic scattering and absorbing aerosols dominate a suite of climate responses to the forcings Donner et al, 2011;Naik et al, 2013;Ocko et al, 2014), it is critical to improve model performance of aerosol optical properties. Here we show that comparing multiple modelsimulated aerosol properties -from two prominent, related climate models with vastly different aerosol treatmentsto available datasets from spatially collocated ground-based and satellite instruments is important for determining model biases.…”
Section: B Ocko and P A Ginoux: Comparing Multiple Model-derivementioning
confidence: 99%
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