Articles | Volume 17, issue 7
https://doi.org/10.5194/acp-17-4433-2017
https://doi.org/10.5194/acp-17-4433-2017
Technical note
 | 
03 Apr 2017
Technical note |  | 03 Apr 2017

Technical note: Relating functional group measurements to carbon types for improved model–measurement comparisons of organic aerosol composition

Satoshi Takahama and Giulia Ruggeri

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Cited articles

Aimanant, S. and Ziemann, P. J.: Development of Spectrophotometric Methods for the Analysis of Functional Groups in Oxidized Organic Aerosol, Aerosol Sci. Tech., 47, 581–591, https://doi.org/10.1080/02786826.2013.773579, 2013.
Allen, D. T., Palen, E. J., Haimov, M. I., Hering, S. V., and Young, J. R.: Fourier-transform Infrared-spectroscopy of Aerosol Collected In A Low-pressure Impactor (LPI/FTIR) – Method Development and Field Calibration, Aerosol Sci. Tech., 21, 325–342, https://doi.org/10.1080/02786829408959719, 1994.
Altieri, K. E., Seitzinger, S. P., Carlton, A. G., Turpin, B. J., Klein, G. C., and Marshall, A. G.: Oligomers formed through in-cloud methylglyoxal reactions: Chemical composition, properties, and mechanisms investigated by ultra-high resolution FT-ICR mass spectrometry RID A-7867-2011, Atmos. Environ., 42, 1476–1490, https://doi.org/10.1016/j.atmosenv.2007.11.015, 2008.
Aumont, B., Szopa, S., and Madronich, S.: Modelling the evolution of organic carbon during its gas-phase tropospheric oxidation: development of an explicit model based on a self generating approach, Atmos. Chem. Phys., 5, 2497–2517, https://doi.org/10.5194/acp-5-2497-2005, 2005.
Short summary
We formalize a method for classifying carbon atoms in organic aerosols according to their functionalization. This conceptual approach allows estimation of carbon mass from functional group measurements, which previously required a series of assumptions that were not well constrained. We describe how the proposed strategy can lead to better comparisons among functional group measurements, chemically explicit model simulations, and other measurements.
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