Articles | Volume 15, issue 23
https://doi.org/10.5194/amt-15-6965-2022
https://doi.org/10.5194/amt-15-6965-2022
Research article
 | 
06 Dec 2022
Research article |  | 06 Dec 2022

Importance of size representation and morphology in modelling optical properties of black carbon: comparison between laboratory measurements and model simulations

Baseerat Romshoo, Mira Pöhlker, Alfred Wiedensohler, Sascha Pfeifer, Jorge Saturno, Andreas Nowak, Krzysztof Ciupek, Paul Quincey, Konstantina Vasilatou, Michaela N. Ess, Maria Gini, Konstantinos Eleftheriadis, Chris Robins, François Gaie-Levrel, and Thomas Müller

Model code and software

A multiple sphere T-matrix FORTRAN code for use on parallel computer clusters, Version 3.0 D. W. Mackowski https://eng.auburn.edu/users/dmckwski/scatcodes/

Comparison of methods to derive morphological parameters of multi-fractal samples of particle aggregates from TEM images (https://sites.google.com/view/fabriceonofri/aggregates/fractal-like-aggregates-diffusion-model) M. Wozniak, F. R. A. Onofri, S. Barbosa, J. Yon, and J. Mroczka https://doi.org/10.1016/j.jaerosci.2011.12.008

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Short summary
Black carbon (BC) is often assumed to be spherically shaped, causing uncertainties in its optical properties when modelled. This study investigates different modelling techniques for the optical properties of BC by comparing them to laboratory measurements. We provide experimental support for emphasizing the use of appropriate size representation (polydisperse size method) and morphological representation (aggregate morphology) for optical modelling and parameterization scheme development of BC.