The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Aerosol indirect forcing in a global model with particle nucleation
Open accessAbstract
Abstract. The number concentration of cloud condensation nuclei (CCN) formed as a result of anthropogenic emissions is a key uncertainty in the study of aerosol indirect forcing and global climate change. Here, we use a global aerosol model that includes an empirical boundary layer nucleation mechanism, the use of primary-emitted sulfate particles to represent sub-grid scale nucleation, as well as binary homogeneous nucleation to explore how nucleation affects the CCN concentration and the first aerosol indirect effect (AIE). The inclusion of the boundary layer nucleation scheme increases the global average CCN concentrations in the boundary layer by 31.4% when no primary-emitted sulfate particles are included and by 5.3% when they are included. Particle formation with the boundary layer nucleation scheme decreases the first indirect forcing over ocean, and increases the first indirect forcing over land when primary sulfate particles are included. This suggests that whether particle formation from aerosol nucleation increases or decreases aerosol indirect effects largely depends on the relative change of primary particles and SO2 emissions from the preindustrial to the present day atmosphere. Including primary-emitted sulfate particle significantly increases both the anthropogenic fraction of CCN concentrations and the first aerosol indirect forcing. The forcing from various treatments of aerosol nucleation ranges from −1.22 to −2.03 w/m2. This large variation shows the importance of better quantifying aerosol nucleation mechanisms for the prediction of CCN concentrations and aerosol indirect effects.
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
The Community Climate System Model Version 3 (CCSM3)
Collins, W. D., Bitz, C. M., Blackmon, M. L., Bonan, G. B., Bretherton, C. S., Carton, J. A., Chang, P., Doney, S. C., Hack, J. J., Henderson, T. B., et al. (2006) · Journal of Climate · doi:10.1175/jcli3761.1 · Cited by 2,251
Sources and distributions of dust aerosols simulated with the GOCART model
Ginoux, P., Chin, M., Tegen, I., Prospero, J. M., Holben, B., Dubovik, O., & Lin, S. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2000jd000053 · Cited by 2,167
The MODIS cloud products: algorithms and examples from terra
Platnick, S., King, M. D., Ackerman, S. A., Menzel, W. P., Baum, B. A., Riedi, J. C., & Frey, R. A. (2003) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2002.808301 · Cited by 1,802
Analysis and quantification of the diversities of aerosol life cycles within AeroCom
Textor, C., Schulz, M., Guibert, S., Kinne, S., Balkanski, Y., Bauer, S., Berntsen, T., Berglen, T., Boucher, O., Chin, M., et al. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-1777-2006 · Cited by 1,272
Self-citationMorrison, H., Curry, J. A., & Khvorostyanov, V. I. (2005) · Journal of the Atmospheric Sciences · doi:10.1175/jas3446.1 · Cited by 1,176
Local Versus Nonlocal Boundary-Layer Diffusion in a Global Climate Model
Holtslag, A. A. M., & Boville, B. A. (1993) · Journal of Climate · doi:10.1175/1520-0442(1993)006<1825:lvnbld>2.0.co;2 · Cited by 1,109
The aerosol-climate model ECHAM5-HAM
Stier, P., Feichter, J., Kinne, S., Kloster, S., Vignati, E., Wilson, J., Ganzeveld, L., Tegen, I., Werner, M., Balkanski, Y., et al. (2005) · Atmospheric Chemistry and Physics · doi:10.5194/acp-5-1125-2005 · Cited by 1,010
The Formulation and Atmospheric Simulation of the Community Atmosphere Model Version 3 (CAM3)
Collins, W. D., Rasch, P. J., Boville, B. A., Hack, J. J., McCaa, J. R., Williamson, D. L., Briegleb, B. P., Bitz, C. M., Lin, S.-J., & Zhang, M. (2006) · Journal of Climate · doi:10.1175/jcli3760.1 · Cited by 922
A parameterization of aerosol activation: 2. Multiple aerosol types
Abdul‐Razzak, H., & Ghan, S. J. (2000) · Journal of Geophysical Research: Atmospheres · doi:10.1029/1999jd901161 · Cited by 897
Atmospheric New Particle Formation Enhanced by Organic Acids
Zhang, R., Suh, I., Zhao, J., Zhang, D., Fortner, E. C., Tie, X., Molina, L. T., & Molina, M. J. (2004) · Science · doi:10.1126/science.1095139 · Cited by 816
Cited by
Impact of nucleation on global CCN
Merikanto, J., Spracklen, D. V., Mann, G. W., Pickering, S. J., & Carslaw, K. S. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-8601-2009 · Cited by 851
Causes and importance of new particle formation in the present‐day and preindustrial atmospheres
Gordon, H., Kirkby, J., Baltensperger, U., Bianchi, F., Breitenlechner, M., Curtius, J., Dias, A., Dommen, J., Donahue, N. M., Dunne, E. M., et al. (2017) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2017jd026844 · Cited by 478
Yu, F., & Luo, G. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-7691-2009 · Cited by 448
Quaas, J., Ming, Y., Menon, S., Takemura, T., Wang, M., Penner, J. E., Gettelman, A., Lohmann, U., Bellouin, N., Boucher, O., et al. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-8697-2009 · Cited by 432
Self-citationPaasonen, P., Nieminen, T., Asmi, E., Manninen, H. E., Petäjä, T., Plass-Dülmer, C., Flentje, H., Birmili, W., Wiedensohler, A., Hõrrak, U., et al. (2010) · Atmospheric Chemistry and Physics · doi:10.5194/acp-10-11223-2010 · Cited by 287
Metadata
- Authors
- Wang, M., & Penner, J. E.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2009-01-14
- Volume
- 9
- Issue
- 1
- Pages
- 239-260
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2079600028
- Cited by
- 262
- References
- 67
- FWCI
- 21.95
- 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: Aerosol indirect forcing in a global model with particle nucleation. https://app.cochat.ai/papers/10.5194/acp-9-239-2009
- The paper
- Wang, M., & Penner, J. E. (2009). Aerosol indirect forcing in a global model with particle nucleation. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-9-239-2009
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.
