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: 4,911 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,768 2,037 106 4,911 756 79 135
  • HTML: 2,768
  • PDF: 2,037
  • XML: 106
  • Total: 4,911
  • Supplement: 756
  • BibTeX: 79
  • EndNote: 135
Views and downloads (calculated since 20 Jul 2017)
Cumulative views and downloads (calculated since 20 Jul 2017)

Viewed (geographical distribution)

Total article views: 4,911 (including HTML, PDF, and XML) Thereof 4,847 with geography defined and 64 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
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.
Altmetrics
Final-revised paper
Preprint