Articles | Volume 17, issue 19
https://doi.org/10.5194/acp-17-12097-2017
https://doi.org/10.5194/acp-17-12097-2017
Research article
 | 
12 Oct 2017
Research article |  | 12 Oct 2017

Classifying aerosol type using in situ surface spectral aerosol optical properties

Lauren Schmeisser, Elisabeth Andrews, John A. Ogren, Patrick Sheridan, Anne Jefferson, Sangeeta Sharma, Jeong Eun Kim, James P. Sherman, Mar Sorribas, Ivo Kalapov, Todor Arsov, Christo Angelov, Olga L. Mayol-Bracero, Casper Labuschagne, Sang-Woo Kim, András Hoffer, Neng-Huei Lin, Hao-Ping Chia, Michael Bergin, Junying Sun, Peng Liu, and Hao Wu

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Lauren Schmeisser on behalf of the Authors (14 Jul 2017)  Author's response   Manuscript 
ED: Reconsider after minor revisions (Editor review) (29 Jul 2017) by Andreas Petzold
AR by Lauren Schmeisser on behalf of the Authors (08 Aug 2017)  Author's response   Manuscript 
ED: Publish as is (11 Aug 2017) by Andreas Petzold
AR by Lauren Schmeisser on behalf of the Authors (18 Aug 2017)
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Short summary
Three methods are used to classify aerosol type from aerosol optical properties measured in situ at 24 surface sites. Classification methods work best at sites with stable, homogenous aerosol at particularly polluted and dust-prone continental and marine sites. Classification methods are poor at remote marine and Arctic sites. Using these methods to extrapolate aerosol type from optical properties can help determine aerosol radiative forcing and improve aerosol satellite retrieval algorithms.
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