The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Global cloud condensation nuclei influenced by carbonaceous combustion aerosol
Open accessAbstract
Abstract. Black carbon in carbonaceous combustion aerosol warms the climate by absorbing solar radiation, meaning reductions in black carbon emissions are often perceived as an attractive global warming mitigation option. However, carbonaceous combustion aerosol can also act as cloud condensation nuclei (CCN) so they also cool the climate by increasing cloud albedo. The net radiative effect of carbonaceous combustion aerosol is uncertain because their contribution to CCN has not been evaluated on the global scale. By combining extensive observations of CCN concentrations with the GLOMAP global aerosol model, we find that the model is biased low (normalised mean bias = −77 %) unless carbonaceous combustion aerosol act as CCN. We show that carbonaceous combustion aerosol accounts for more than half (52–64 %) of global CCN with the range due to uncertainty in the emitted size distribution of carbonaceous combustion particles. The model predicts that wildfire and pollution (fossil fuel and biofuel) carbonaceous combustion aerosol causes a global mean cloud albedo aerosol indirect effect of −0.34 W m−2, with stronger cooling if we assume smaller particle emission size. We calculate that carbonaceous combustion aerosol from pollution sources cause a global mean aerosol indirect effect of −0.23 W m−2. The small size of carbonaceous combustion particles from fossil fuel sources means that whilst pollution sources account for only one-third of the emitted mass they cause two-thirds of the cloud albedo aerosol indirect effect that is due to carbonaceous combustion aerosol. This cooling effect must be accounted for, along with other cloud effects not studied here, to ensure that black carbon emissions controls that reduce the high number concentrations of fossil fuel particles have the desired net effect on climate.
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
Radiative forcing and climate response
Hansen, J., Sato, M., & Ruedy, R. (1997) · Journal of Geophysical Research: Atmospheres · doi:10.1029/96jd03436 · Cited by 2,241
Ice formation by black carbon particles
DeMott, P. J., Chen, Y., Kreidenweis, S. M., Rogers, D. C., & Sherman, D. E. (1999) · Geophysical Research Letters · doi:10.1029/1999gl900580 · Cited by 208
Cited by
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
Self-citationLarge contribution of natural aerosols to uncertainty in indirect forcing
Carslaw, K. S., Lee, L. A., Reddington, C. L., Pringle, K. J., Rap, A., Forster, P. M., Mann, G. W., Spracklen, D. V., Woodhouse, M. T., Regayre, L. A., et al. (2013) · Nature · doi:10.1038/nature12674 · Cited by 1,115
Self-citationPöschl, U., & Shiraiwa, M. (2015) · Chemical Reviews · doi:10.1021/cr500487s · Cited by 657
Self-citationGlobal air quality and climate
Fiore, A. M., Naik, V., Spracklen, D. V., Steiner, A., Unger, N., Prather, M., Bergmann, D., Cameron-Smith, P. J., Cionni, I., Collins, W. J., et al. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35095e · Cited by 521
Self-citationHousehold Light Makes Global Heat: High Black Carbon Emissions From Kerosene Wick Lamps
Lam, N. L., Chen, Y., Weyant, C., Venkataraman, C., Sadavarte, P., Johnson, M. A., Smith, K. R., Brem, B. T., Arineitwe, J., Ellis, J. E., et al. (2012) · Environmental Science & Technology · doi:10.1021/es302697h · Cited by 152
Metadata
- Authors
- Spracklen, D. V., Carslaw, K. S., Pöschl, U., Rap, A., & Forster, P. M.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2011-09-05
- Volume
- 11
- Issue
- 17
- Pages
- 9067-9087
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2158718894
- Cited by
- 203
- References
- 2
- FWCI
- 15.54
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global cloud condensation nuclei influenced by carbonaceous combustion aerosol. https://app.cochat.ai/papers/10.5194/acp-11-9067-2011
- The paper
- Spracklen, D. V., Carslaw, K. S., Pöschl, U., Rap, A., & Forster, P. M. (2011). Global cloud condensation nuclei influenced by carbonaceous combustion aerosol. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-11-9067-2011
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.