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Coupling aerosol optics to the MATCH (v5.5.0) chemical transport model and the SALSA (v1) aerosol microphysics module
SMHI, Research Department, Air quality.ORCID iD: 0000-0001-5695-1356
2016 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 9, no 5, p. 1803-1826Article in journal (Refereed) Published
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Abstract [en]

A new aerosol-optics model is implemented in which realistic morphologies and mixing states are assumed, especially for black carbon particles. The model includes both external and internal mixing of all chemical species, it treats externally mixed black carbon as fractal aggregates, and it accounts for inhomogeneous internal mixing of black carbon by use of a novel "core-grey-shell" model. Simulated results of aerosol optical properties, such as aerosol optical depth, backscattering coefficients and the Angstrom exponent, as well as radiative fluxes are computed with the new optics model and compared with results from an older optics-model version that treats all particles as externally mixed homogeneous spheres. The results show that using a more detailed description of particle morphology and mixing state impacts the aerosol optical properties to a degree of the same order of magnitude as the effects of aerosol-microphysical processes. For instance, the aerosol optical depth computed for two cases in 2007 shows a relative difference between the two optics models that varies over the European region between 28 and 18 %, while the differences caused by the inclusion or omission of the aerosol-microphysical processes range from 50 to 37 %. This is an important finding, suggesting that a simple optics model coupled to a chemical transport model can introduce considerable errors affecting radiative fluxes in chemistry-climate models, compromising comparisons of model results with remote sensing observations of aerosols, and impeding the assimilation of satellite products for aerosols into chemical-transport models.

Place, publisher, year, edition, pages
2016. Vol. 9, no 5, p. 1803-1826
National Category
Environmental Sciences
Research subject
Environment
Identifiers
URN: urn:nbn:se:smhi:diva-2199DOI: 10.5194/gmd-9-1803-2016ISI: 000376937800007OAI: oai:DiVA.org:smhi-2199DiVA, id: diva2:947375
Available from: 2016-07-08 Created: 2016-07-08 Last updated: 2017-11-28Bibliographically approved

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Kahnert, Michael

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