Improving the predictions of black carbon (BC) optical properties at various aging stages using a machine-learning-based approach
Baseerat Romshoo,
Jaikrishna Patil,
Tobias Michels
et al.
Abstract:Abstract. It is necessary to accurately determine the optical properties of highly absorbing black carbon (BC) aerosols to estimate their climate impact. In the past, there has been hesitation about using realistic fractal morphologies when simulating BC optical properties due to the complexity involved in the simulations and the cost of the computations. In this work, we demonstrate that the predictions of optical properties like single scattering albedo (ω) and mass absorption cross-section (MAC) can be impr… Show more
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