Preprints
https://doi.org/10.5194/egusphere-2026-1917
https://doi.org/10.5194/egusphere-2026-1917
20 May 2026
 | 20 May 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

A Revised Framework for Classifying Organic Aerosols using Wavelength-dependent Absorption Properties

Susan Mathai, Gregory L. Schuster, Michael A. Shook, and Luke D. Ziemba

Abstract. The representation of organic aerosols (OA) in global climate models fails to account for the wide range of species found in the atmosphere. Previous studies have observed that the optical parameters of OA species vary depending on the source from which they are emitted, as well as on their physical and chemical characteristics. However, accounting for all OA species in climate models is not practical. Hence, we have grouped OA species according to their optical parameters and physico-chemical characteristics. We classified OA as strongly absorbing brown carbon (S-BrC), moderately absorbing brown carbon (M-BrC), weakly absorbing brown carbon (W-BrC) and very weakly absorbing brown carbon (VW-BrC). We defined thresholds based on the imaginary refractive index (IRI) for a broad wavelength range from 300 to 550 nm. The classification demonstrates clear optical separation at 350–500 nm, with mass absorption coefficient (MAC) values spanning two orders of magnitude from VW-BrC (0.004 m2/g) to S-BrC (1 m2/g) at 400 nm. Representative species from each category were suggested as surrogates. This choice of species includes both absorbing and scattering OA and enables more accurate representation of OA in climate models and satellite retrievals, improving aerosol radiative forcing estimates.

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Susan Mathai, Gregory L. Schuster, Michael A. Shook, and Luke D. Ziemba

Status: open (until 01 Jul 2026)

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Susan Mathai, Gregory L. Schuster, Michael A. Shook, and Luke D. Ziemba
Susan Mathai, Gregory L. Schuster, Michael A. Shook, and Luke D. Ziemba
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Short summary
There are several organic aerosols being emitted into the atmosphere through different sources. Often, it's challenging to account for these wide variety of species in global climate models due to a lack of clarity about their classification thresholds. In this study, we define thresholds based on the imaginary refractive index to classify organic aerosols into strongly, moderately, weakly, and very weakly absorbing. The classification shows clear optical separation from 350–500 nm wavelengths.
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