Center for Aerosol Science and Engineering, Department of Energy,
Environmental and Chemical Engineering, Washington University in St. Louis,
St. Louis, MO 63130, USA
Center for Aerosol Science and Engineering, Department of Energy,
Environmental and Chemical Engineering, Washington University in St. Louis,
St. Louis, MO 63130, USA
Viewed
Total article views: 2,840 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,070
683
87
2,840
182
74
117
HTML: 2,070
PDF: 683
XML: 87
Total: 2,840
Supplement: 182
BibTeX: 74
EndNote: 117
Views and downloads (calculated since 05 May 2022)
Cumulative views and downloads
(calculated since 05 May 2022)
Total article views: 2,103 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,521
511
71
2,103
149
68
109
HTML: 1,521
PDF: 511
XML: 71
Total: 2,103
Supplement: 149
BibTeX: 68
EndNote: 109
Views and downloads (calculated since 22 Nov 2022)
Cumulative views and downloads
(calculated since 22 Nov 2022)
Total article views: 737 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
549
172
16
737
33
6
8
HTML: 549
PDF: 172
XML: 16
Total: 737
Supplement: 33
BibTeX: 6
EndNote: 8
Views and downloads (calculated since 05 May 2022)
Cumulative views and downloads
(calculated since 05 May 2022)
Viewed (geographical distribution)
Total article views: 2,840 (including HTML, PDF, and XML)
Thereof 2,752 with geography defined
and 88 with unknown origin.
Total article views: 2,103 (including HTML, PDF, and XML)
Thereof 2,080 with geography defined
and 23 with unknown origin.
Total article views: 737 (including HTML, PDF, and XML)
Thereof 672 with geography defined
and 65 with unknown origin.
Understanding and parameterizing the influences of black carbon (BC) particle morphology and compositional heterogeneity on its light absorption represent a fundamental problem. We develop scaling laws using a single unifying parameter that effectively encompasses large-scale diversity observed in BC light absorption on a per-particle basis. The laws help reconcile the disparities between field observations and model predictions. Our framework is packaged in an open-source Python application.
Understanding and parameterizing the influences of black carbon (BC) particle morphology and...