The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Biomass burning dominates brown carbon absorption in the rural southeastern United States
Open accessAbstract
Brown carbon aerosol consists of light‐absorbing organic particulate matter with wavelength‐dependent absorption. Aerosol optical extinction, absorption, size distributions, and chemical composition were measured in rural Alabama during summer 2013. The field site was well located to examine sources of brown carbon aerosol, with influence by high biogenic organic aerosol concentrations, pollution from two nearby cities, and biomass burning aerosol. We report the optical closure between measured dry aerosol extinction at 365 nm and calculated extinction from composition and size distribution, showing agreement within experiment uncertainties. We find that aerosol optical extinction is dominated by scattering, with single‐scattering albedo values of 0.94 ± 0.02. Black carbon aerosol accounts for 91 ± 9% of the total carbonaceous aerosol absorption at 365 nm, while organic aerosol accounts for 9 ± 9%. The majority of brown carbon aerosol mass is associated with biomass burning, with smaller contributions from biogenically derived secondary organic aerosol.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bounding the role of black carbon in the climate system: A scientific assessment
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50171 · Cited by 6,385
Light Absorption by Carbonaceous Particles: An Investigative Review
Bond, T. C., & Bergstrom, R. W. (2006) · Aerosol Science and Technology · doi:10.1080/02786820500421521 · Cited by 2,980
Black carbon or brown carbon? The nature of light-absorbing carbonaceous aerosols
Andreae, M. O., & Gelencsér, A. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3131-2006 · Cited by 2,006
Bones, D. L., Henricksen, D. K., Mang, S. A., Gonsior, M., Bateman, A. P., Nguyen, T. B., Cooper, W. J., & Nizkorodov, S. A. (2010) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2009jd012864 · Cited by 299
Cited by
Crop Residue Burning in India: Policy Challenges and Potential Solutions
Bhuvaneshwari, S., Hettiarachchi, H., & Meegoda, J. N. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16050832 · Cited by 817
Lee, B. H., Mohr, C., Lopez-Hilfiker, F. D., Lutz, A., Hallquist, M., Lee, L., Romer, P., Cohen, R. C., Iyer, S., Kurtén, T., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508108113 · Cited by 389
Self-citationMolecular Chemistry of Atmospheric Brown Carbon Inferred from a Nationwide Biomass Burning Event
Lin, P., Bluvshtein, N., Rudich, Y., Nizkorodov, S. A., Laskin, J., & Laskin, A. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02276 · Cited by 382
Photochemical processing of aqueous atmospheric brown carbon
Zhao, R., Lee, A. K. Y., Huang, L., Li, X., Yang, F., & Abbatt, J. P. D. (2015) · Atmospheric Chemistry and Physics · doi:10.5194/acp-15-6087-2015 · Cited by 373
Liu, X., Huey, L. G., Yokelson, R. J., Selimovic, V., Simpson, I. J., Müller, M., Jimenez, J. L., Campuzano‐Jost, P., Beyersdorf, A. J., Blake, D. R., et al. (2017) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2016jd026315 · Cited by 308
Self-citation
Metadata
- Authors
- Washenfelder, R. A., Attwood, A. R., Brock, C. A., Guo, H., Xu, L., Weber, R. J., Ng, N. L., Allen, H. M., Ayres, B. R., Baumann, K., Cohen, R. C., Draper, D. C., Duffey, K. C., Edgerton, E., Fry, J. L., Hu, W. W., Jimenez, J. L., Palm, B. B., Romer, P., Stone, E. A., Wooldridge, P. J., & Brown, S. S.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2015-01-28
- Volume
- 42
- Issue
- 2
- Pages
- 653-664
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2136753478
- Cited by
- 284
- References
- 4
- FWCI
- 17.87
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
