Articles | Volume 17, issue 12
https://doi.org/10.5194/amt-17-3719-2024
https://doi.org/10.5194/amt-17-3719-2024
Research article
 | 
20 Jun 2024
Research article |  | 20 Jun 2024

Comparison of the LEO and CPMA-SP2 techniques for black-carbon mixing-state measurements

Arash Naseri, Joel C. Corbin, and Jason S. Olfert

Data sets

CPMA-SP2 Wildfire smoke data Arash Naseri et al. https://doi.org/10.5281/zenodo.11389960

Model code and software

SP2 toolkit 4.118 Martin Gysel-Beer and Joel C. Corbin https://zenodo.org/records/3575186

Bidias: MATLAB code for CPMA- SP2 measurements Timothy Sipkens and Arash Naseri https://github.com/tsipkens/bidias

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Short summary
It is crucial to accurately measure the mixing states of light-absorbing carbon particles from emission sources like wildfires and biomass combustion to decrease climate forcing uncertainties. This study compares methods that measure light-absorbing carbon in the atmosphere. The CPMA-SP2 method offers more accurate results than traditional light-scattering methods, such as the leading-edge-only (LEO) method, thereby enhancing the accuracy of measuring the mixing states of light-absorbing carbon.