Quantifying black carbon light absorption enhancement with a novel statistical approach

Wu, Cheng; Wu, Dui; Yu, Jian Zhen

doi:https://doi.org/10.5194/acp-18-289-2018

Articles | Volume 18, issue 1

https://doi.org/10.5194/acp-18-289-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-18-289-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 1

Research article

|

11 Jan 2018

Research article |

| 11 Jan 2018

Quantifying black carbon light absorption enhancement with a novel statistical approach

Cheng Wu, Dui Wu, and Jian Zhen Yu

Supplement

https://doi.org/10.5194/acp-18-289-2018-supplement

Model code and software

Minimum R Square Method (MRS) C. Wu https://doi.org/10.5281/zenodo.832396

Mie Scattering C. Wu https://doi.org/10.5281/zenodo.832400

Aethalometer data processor C. Wu https://doi.org/10.5281/zenodo.832404

Histbox C. Wu https://doi.org/10.5281/zenodo.832411

Scatter Plot C. Wu https://doi.org/10.5281/zenodo.832417

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Short summary

This work presents a new approach, minimum R squared (MRS) method, to quantify black carbon aerosols light absorption enhancement factor, E_abs, from ambient measurements using an Aethalometer and field carbon analyzer. Application of MRS on 1 year of measurement is demonstrated. This study provides a potential alternative to explore the E_abs information using inexpensive instrumentation with wider temporal coverage.