Articles | Volume 18, issue 1
https://doi.org/10.5194/acp-18-289-2018
https://doi.org/10.5194/acp-18-289-2018
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

Viewed

Total article views: 5,268 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,002 2,153 113 5,268 788 90 144
  • HTML: 3,002
  • PDF: 2,153
  • XML: 113
  • Total: 5,268
  • Supplement: 788
  • BibTeX: 90
  • EndNote: 144
Views and downloads (calculated since 20 Jul 2017)
Cumulative views and downloads (calculated since 20 Jul 2017)

Viewed (geographical distribution)

Total article views: 5,268 (including HTML, PDF, and XML) Thereof 5,190 with geography defined and 78 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 09 May 2025
Download
Short summary
This work presents a new approach, minimum R squared (MRS) method, to quantify black carbon aerosols light absorption enhancement factor, Eabs, 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 Eabs information using inexpensive instrumentation with wider temporal coverage.
Share
Altmetrics
Final-revised paper
Preprint