Articles | Volume 22, issue 22
Research article
22 Nov 2022
Research article |  | 22 Nov 2022

Constraining the particle-scale diversity of black carbon light absorption using a unified framework

Payton Beeler and Rajan K. Chakrabarty

Data sets

Data from ADDA calculations Payton Beeler and Rajan Chakrabarty

Model code and software

Online user’s guide for the Python Black Carbon Absorption package (pyBCabs) Payton Beeler and Rajan Chakrabarty

Short summary
Understanding and parameterizing the influences of black carbon (BC) particle morphology and compositional heterogeneity on its light absorption represent a fundamental problem. We develop scaling laws using a single unifying parameter that effectively encompasses large-scale diversity observed in BC light absorption on a per-particle basis. The laws help reconcile the disparities between field observations and model predictions. Our framework is packaged in an open-source Python application.
Final-revised paper