The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006
Open accessAbstract
A new secondary organic aerosol (SOA) parameterization based on the volatility basis set is implemented in a regional air quality model WRF‐CHEM. Full meteorological and chemistry simulations are carried out for the United States for August–September 2006. Predicted organic aerosol (OA) concentrations are compared against surface measurements made by several networks and aircraft data from the TexAQS‐2006 field campaign. Elemental carbon simulations are also evaluated in order to evaluate the model's ability to capture their emissions, transport, and removal. Certain measurement limitations, such as daily averaged OA concentrations, impose some difficulties on the model evaluation, and hourly averaged OA measurements provide more informative constraints compared to daily concentrations. The updated model demonstrates a significant improvement in simulating the OA concentrations compared to the standard WRF‐CHEM, which predicts very little SOA. The improvement in organic carbon (OC) predictions is noticeable in correlations and model bias. The correlations of OC exceed that of the persistence forecasts for hourly concentrations in the southeast United States during daytime. The updated traditional SOA yields still lead to an underestimation of observed OA, while addition of the multigenerational volatile organic compound (VOC) oxidation drastically improves model performance. However, several key uncertainties remain in SOA formation and loss mechanisms, which are characterized through several perturbation simulations. Dry deposition of VOC oxidation products is an important factor in the atmospheric SOA budget. The combination of the biogenic VOC emissions, updated SOA yields, and aging mechanism result in biogenic SOA being the dominant OA component for much of the nonurban United States.
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
Development of a turbulence closure model for geophysical fluid problems
Mellor, G. L., & Yamada, T. (1982) · Reviews of Geophysics · doi:10.1029/rg020i004p00851 · Cited by 6,913
Evolution of Organic Aerosols in the Atmosphere
Jimenez, J. L., Canagaratna, M. R., Donahue, N. M., Prevot, A. S. H., Zhang, Q., Kroll, J. H., DeCarlo, P. F., Allan, J. D., Coe, H., Ng, N. L., et al. (2009) · Science · doi:10.1126/science.1180353 · Cited by 4,167
Self-citationThe formation, properties and impact of secondary organic aerosol: current and emerging issues
Hallquist, M., Wenger, J. C., Baltensperger, U., Rudich, Y., Simpson, D., Claeys, M., Dommen, J., Donahue, N. M., George, C., Goldstein, A. H., et al. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-5155-2009 · Cited by 4,031
Fully coupled “online” chemistry within the WRF model
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock, W. C., & Eder, B. (2005) · Atmospheric Environment · doi:10.1016/j.atmosenv.2005.04.027 · Cited by 3,748
Self-citationZhang, Q., Jimenez, J. L., Canagaratna, M. R., Allan, J. D., Coe, H., Ulbrich, I., Alfarra, M. R., Takami, A., Middlebrook, A. M., Sun, Y. L., et al. (2007) · Geophysical Research Letters · doi:10.1029/2007gl029979 · Cited by 2,452
Self-citationRethinking Organic Aerosols: Semivolatile Emissions and Photochemical Aging
Robinson, A. L., Donahue, N. M., Shrivastava, M. K., Weitkamp, E. A., Sage, A. M., Grieshop, A. P., Lane, T. E., Pierce, J. R., & Pandis, S. N. (2007) · Science · doi:10.1126/science.1133061 · Cited by 1,943
Self-citationGas/Particle Partitioning and Secondary Organic Aerosol Yields
Odum, J. R., Hoffmann, T., Bowman, F., Collins, D., Flagan, R. C., & Seinfeld, J. H. (1996) · Environmental Science & Technology · doi:10.1021/es950943+ · Cited by 1,529
Coupled Partitioning, Dilution, and Chemical Aging of Semivolatile Organics
Donahue, N. M., Robinson, A. L., Stanier, C. O., & Pandis, S. N. (2006) · Environmental Science & Technology · doi:10.1021/es052297c · Cited by 1,525
Self-citationSecondary organic aerosol formation from anthropogenic air pollution: Rapid and higher than expected
Volkamer, R., Jimenez, J. L., San Martini, F., Dzepina, K., Zhang, Q., Salcedo, D., Molina, L. T., Worsnop, D. R., & Molina, M. J. (2006) · Geophysical Research Letters · doi:10.1029/2006gl026899 · Cited by 1,153
A new mechanism for regional atmospheric chemistry modeling
Stockwell, W. R., Kirchner, F., Kuhn, M., & Seefeld, S. (1997) · Journal of Geophysical Research: Atmospheres · doi:10.1029/97jd00849 · Cited by 1,098
Cited by
Li, Y., Pöschl, U., & Shiraiwa, M. (2016) · Atmospheric Chemistry and Physics · doi:10.5194/acp-16-3327-2016 · Cited by 384
Rapid deposition of oxidized biogenic compounds to a temperate forest
Nguyen, T. B., Crounse, J. D., Teng, A. P., St. Clair, J. M., Paulot, F., Wolfe, G. M., & Wennberg, P. O. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418702112 · Cited by 273
InMAP: A model for air pollution interventions
Tessum, C. W., Hill, J. D., & Marshall, J. D. (2017) · PLOS ONE · doi:10.1371/journal.pone.0176131 · Cited by 257
Ahmadov, R., McKeen, S., Trainer, M., Banta, R., Brewer, A., Brown, S., Edwards, P. M., de Gouw, J. A., Frost, G. J., Gilman, J., et al. (2015) · Atmospheric Chemistry and Physics · doi:10.5194/acp-15-411-2015 · Cited by 151
Self-citationTuccella, P., Thomas, J. L., Law, K. S., Raut, J.-C., Marelle, L., Roiger, A., Weinzierl, B., Denier van der Gon, H. A. C., Schlager, H., & Onishi, T. (2017) · Elementa: Science of the Anthropocene · doi:10.1525/elementa.124 · Cited by 25
Metadata
- Authors
- Ahmadov, R., McKeen, S. A., Robinson, A. L., Bahreini, R., Middlebrook, A. M., de Gouw, J. A., Meagher, J., Hsie, E. ‐., Edgerton, E., Shaw, S., & Trainer, M.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2012-03-16
- Volume
- 117
- Issue
- D6
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2035358648
- Cited by
- 270
- References
- 46
- FWCI
- 11.54
- Type
- journal article
- Language
- en
- Open access
- bronze
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: A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006. https://app.cochat.ai/papers/10.1029/2011jd016831
- The paper
- Ahmadov, R., McKeen, S. A., Robinson, A. L., Bahreini, R., Middlebrook, A. M., de Gouw, J. A., Meagher, J., Hsie, E. ‐., Edgerton, E., Shaw, S., & Trainer, M. (2012). A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2011jd016831
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.
