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
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Total article views: 2,682 (including HTML, PDF, and XML)
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1,968
638
76
2,682
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100
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PDF: 638
XML: 76
Total: 2,682
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EndNote: 100
Views and downloads (calculated since 05 May 2022)
Cumulative views and downloads
(calculated since 05 May 2022)
Total article views: 1,946 (including HTML, PDF, and XML)
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1,419
467
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1,946
127
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HTML: 1,419
PDF: 467
XML: 60
Total: 1,946
Supplement: 127
BibTeX: 58
EndNote: 92
Views and downloads (calculated since 22 Nov 2022)
Cumulative views and downloads
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Total article views: 736 (including HTML, PDF, and XML)
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549
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736
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HTML: 549
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Total: 736
Supplement: 32
BibTeX: 6
EndNote: 8
Views and downloads (calculated since 05 May 2022)
Cumulative views and downloads
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Total article views: 2,682 (including HTML, PDF, and XML)
Thereof 2,590 with geography defined
and 92 with unknown origin.
Total article views: 1,946 (including HTML, PDF, and XML)
Thereof 1,919 with geography defined
and 27 with unknown origin.
Total article views: 736 (including HTML, PDF, and XML)
Thereof 671 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...