Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 12, issue 1
Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-525-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-525-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 1
Review article
 | 
28 Jan 2019
Review article |  | 28 Jan 2019

Atmospheric particulate matter characterization by Fourier transform infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks

Satoshi Takahama, Ann M. Dillner, Andrew T. Weakley, Matteo Reggente, Charlotte Bürki, Mária Lbadaoui-Darvas, Bruno Debus, Adele Kuzmiakova, and Anthony S. Wexler

Viewed

Total article views: 6,195 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,239 1,821 135 6,195 122 142
  • HTML: 4,239
  • PDF: 1,821
  • XML: 135
  • Total: 6,195
  • BibTeX: 122
  • EndNote: 142
Views and downloads (calculated since 23 Jul 2018)
Cumulative views and downloads (calculated since 23 Jul 2018)

Viewed (geographical distribution)

Total article views: 6,195 (including HTML, PDF, and XML) Thereof 5,765 with geography defined and 430 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download
Short summary
Mid-infrared spectra of particulate matter (PM) samples are complex but chemically informative and present an opportunity for cost-effective measurement of PM provided that quantitative calibration models can be built. We review an emerging strategy for building statistical calibration models using collocated measurements, interpreting the physical bases for such models and evaluating the suitability of existing calibration models to new samples.
Read more
Share