0000000000341301

AUTHOR

Dong Yeong Chang

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Aerosol physicochemical effects on CCN activation simulated with the chemistry-climate model EMAC

2017

Abstract This study uses the EMAC atmospheric chemistry-climate model to simulate cloud properties with a prognostic cloud droplet nucleation scheme. We present modeled global distributions of cloud condensation nuclei (CCN) number concentrations and CCN activation rates, together with the effective hygroscopicity parameter κ, to describe the aerosol chemical composition effect on CCN activation. Large particles can easily activate into cloud droplets, even at low κ values due to the dominant size effect in cloud droplet formation. Small particles are less efficiently activated as CCN, and are more sensitive to aerosol composition and supersaturation. Since the dominant fraction of small pa…

Atmospheric ScienceSupersaturation010504 meteorology & atmospheric sciencesChemistrybusiness.industryNorthern HemisphereNucleationCloud computing010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesAerosolAtmosphereClimatologyCloud condensation nucleibusinessChemical composition0105 earth and related environmental sciencesGeneral Environmental ScienceAtmospheric Environment
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