Articles | Volume 17, issue 7
Atmos. Chem. Phys., 17, 4433–4450, 2017
Atmos. Chem. Phys., 17, 4433–4450, 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,, 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,, 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,, 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,, 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.
Final-revised paper