Numerical investigation on retrieval errors of mixing states of fractal black carbon aerosols using single-particle soot photometer based on Mie scattering and the effects on radiative forcing estimation

Liu, Jia; Wang, Guangya; Zhu, Cancan; Zhou, Donghui; Wang, Lin

doi:https://doi.org/10.5194/amt-16-4961-2023

Articles | Volume 16, issue 20

https://doi.org/10.5194/amt-16-4961-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-16-4961-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 20

Research article

|

27 Oct 2023

Research article |

| 27 Oct 2023

Numerical investigation on retrieval errors of mixing states of fractal black carbon aerosols using single-particle soot photometer based on Mie scattering and the effects on radiative forcing estimation

Jia Liu, Guangya Wang, Cancan Zhu, Donghui Zhou, and Lin Wang

Supplement

https://doi.org/10.5194/amt-16-4961-2023-supplement

Data sets

DpDc retrieval error of BC using SP2 J. Liu, G. Y. Wang, C. C. Zhu, D. H. Zhou, and L. Wang https://doi.org/10.13140/RG.2.2.29017.90729

Model code and software

The multiple-sphere T-matrix code M. I. Mishchenko and D. W. Mackowski https://github.com/oldoldstone/MSTM

Short summary

Single-particle soot photometer (SP2) employs the core-shell model to represent coated BC particles, which introduces retrieval errors in the mixing state (D_p/D_c) of BC. We construct fractal models to represent thinly and thickly coated BC particles, and the retrieval errors of the mixing state are investigated from the numerical aspect. We find that errors in D_p/D_c are noteworthy, and the errors in D_p/D_c can further affect the evaluation accuracy of the radiative forcing of BC.