Articles | Volume 13, issue 3
https://doi.org/10.5194/amt-13-1517-2020
https://doi.org/10.5194/amt-13-1517-2020
Research article
 | 
31 Mar 2020
Research article |  | 31 Mar 2020

Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations

Charlotte Bürki, Matteo Reggente, Ann M. Dillner, Jenny L. Hand, Stephanie L. Shaw, and Satoshi Takahama

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Latest update: 28 Mar 2024
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Short summary
Infrared spectroscopy is a chemically informative method for particulate matter characterization. However, recent work has demonstrated that predictions depend heavily on the choice of calibration model parameters. We propose a means for managing parameter uncertainties by combining available data from laboratory standards, molecular databases, and collocated ambient measurements to provide useful characterization of atmospheric organic matter on a large scale.