Published February 1, 2022 | Version Supplemental Material
Journal Article Open

Absorption Enhancement of Black Carbon Aerosols Constrained by Mixing-State Heterogeneity

  • 1. ROR icon Southern University of Science and Technology
  • 2. ROR icon Fudan University
  • 3. ROR icon Georgia Institute of Technology
  • 4. ROR icon California Institute of Technology
  • 5. ROR icon Peking University

Abstract

Atmospheric black carbon (BC) has a large yet highly uncertain contribution to global warming. When mixed with non-BC/coating material during atmospheric aging, the BC light absorption can be enhanced through the lensing effect. Laboratory and modeling studies have consistently found strong BC absorption enhancement, while the results in ambient measurements are conflicting, with some reporting weak absorption enhancement even for particles with large bulk coating amounts. Here, from our direct field observations, we report both large and minor absorption enhancement factors for different BC-containing particle populations with large bulk non-BC-to-BC mass ratios. By gaining insights into the measured coating material distribution across each particle population, we find that the level of absorption enhancement is strongly dependent on the particle-resolved mixing state. Our study shows that the greater mixing-state heterogeneity results in the larger difference between observed and predicted absorption enhancement. We demonstrate that by considering the variability in coating material thickness in the optical model, the previously observed model measurement discrepancy of absorption enhancement can be reconciled. The observations and improved optical models reported here highlight the importance of mixing-state heterogeneity on BC's radiative forcing, which should be better resolved in large-scale models to increase confidence when estimating the aerosol radiation effect.

Additional Information

© 2022 American Chemical Society. Received: September 13, 2021; Revised: December 16, 2021; Accepted: January 7, 2022; Published: January 18, 2022. This work was supported by the National Natural Science Foundation of China (41827804, 41775150, and 91544224) and Guangdong Provincial Research and Development Plan in Key Area (2020B1111360001) and Shanghai Environmental Monitoring Centre. The authors declare no competing financial interest.

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Additional details

Identifiers

Eprint ID
113001
DOI
10.1021/acs.est.1c06180
Resolver ID
CaltechAUTHORS:20220119-817725000

Related works

Funding

National Natural Science Foundation of China
41827804
National Natural Science Foundation of China
41775150
National Natural Science Foundation of China
91544224
Guangdong Province
2020B1111360001
Shanghai Environmental Monitoring Centre

Dates

Created
2022-01-20
Created from EPrint's datestamp field
Updated
2022-02-03
Created from EPrint's last_modified field