The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Arctic haze: current trends and knowledge gaps
Abstract
Trend analyses were performed on several indicators of Arctic haze using data from sites located in the North American, Norwegian, Finnish and Russian Arctic for the spring months of March and April. Concentrations of nonseasalt (nss) SO 4 = in the Canadian, Norwegian and Finnish Arctic were found to have decreased by 30–70% from the early 1990s to present. The magnitude of the decrease depended on location. The trend in nss SO 4 = at Barrow, Alaska from 1997 to present, is unclear. Measurements at Barrow of light scattering by aerosols show a decrease of about 50% between the early 1980s and the mid-1990s for both March and April. Restricting the analysis to the more recent period of 1997 to present indicates an increase in scattering of about 50% during March. Aerosol NO 3 - measured at Alert, Canada has increased by about 50% between the early 1990s and 2003. Nss K + and light absorption, indicators of forest fires, have a seasonal maximum during the winter and spring and minimum during the summer and fall at both Alert and Barrow. Based on these data, the impact of summertime forest fire emissions on low-altitude surface sites within the Arctic is relatively small compared to winter/spring emissions. Key uncertainties about the impact of long range transport of pollution to the Arctic remain including the certainty of the recent detected trends; sources, transport and trends of soot; and radiative effects due to complex interactions between aerosols, clouds and radiation in the Arctic. DOI: 10.1111/j.1600-0889.2006.00238.x
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
Estimates of the Regression Coefficient Based on Kendall's Tau
Sen, P. K. (1968) · Journal of the American Statistical Association · doi:10.1080/01621459.1968.10480934 · Cited by 14,517
Aerosols, Cloud Microphysics, and Fractional Cloudiness
Albrecht, B. A. (1989) · Science · doi:10.1126/science.245.4923.1227 · Cited by 4,422
Statistical Methods for Environmental Pollution Monitoring.
Lambert, D., & Gilbert, R. O. (1988) · Journal of the American Statistical Association · doi:10.2307/2290180 · Cited by 2,066
DECADAL VARIATIONS IN CLIMATE ASSOCIATED WITH THE NORTH ATLANTIC OSCILLATION
HURRELL, J. W., & VAN LOON, H. (1997) · Climatic Change · doi:10.1023/a:1005314315270 · Cited by 1,709
Soot climate forcing via snow and ice albedos
Hansen, J., & Nazarenko, L. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2237157100 · Cited by 1,332
Atmospheric aerosol over Alaska: 2. Elemental composition and sources
Polissar, A. V., Hopke, P. K., Paatero, P., Malm, W. C., & Sisler, J. F. (1998) · Journal of Geophysical Research: Atmospheres · doi:10.1029/98jd01212 · Cited by 926
Characteristics of atmospheric transport into the Arctic troposphere
Stohl, A. (2006) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2005jd006888 · Cited by 767
Macdonald, R. W., Harner, T., & Fyfe, J. (2005) · Science of The Total Environment · doi:10.1016/j.scitotenv.2004.12.059 · Cited by 705
Aerosols, clouds and radiation
Twomey, S. (1991) · Atmospheric Environment. Part A. General Topics · doi:10.1016/0960-1686(91)90159-5 · Cited by 645
Climate Change and Forest Fire Potential in Russian and Canadian Boreal Forests
Stocks, B. J., Fosberg, M. A., Lynham, T. J., Mearns, L., Wotton, B. M., Yang, Q., Jin, J.-Z., Lawrence, K., Hartley, G. R., Mason, J. A., et al. (1998) · Climatic Change · doi:10.1023/a:1005306001055 · Cited by 626
Cited by
Atmospheric composition change – global and regional air quality
Monks, P. S., Granier, C., Fuzzi, S., Stohl, A., Williams, M. L., Akimoto, H., Amann, M., Baklanov, A., Baltensperger, U., Bey, I., et al. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2009.08.021 · Cited by 872
Alexander, B., Park, R. J., Jacob, D. J., & Gong, S. (2009) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2008jd010486 · Cited by 312
Self-citationChin, M., Diehl, T., Tan, Q., Prospero, J. M., Kahn, R. A., Remer, L. A., Yu, H., Sayer, A. M., Bian, H., Geogdzhayev, I. V., et al. (2014) · Atmospheric Chemistry and Physics · doi:10.5194/acp-14-3657-2014 · Cited by 311
Self-citationAtmospheric composition change: Climate–Chemistry interactions
Isaksen, I. S. A., Granier, C., Myhre, G., Berntsen, T. K., Dalsøren, S. B., Gauss, M., Klimont, Z., Benestad, R., Bousquet, P., Collins, W., et al. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2009.08.003 · Cited by 278
Warneke, C., Bahreini, R., Brioude, J., Brock, C. A., de Gouw, J. A., Fahey, D. W., Froyd, K. D., Holloway, J. S., Middlebrook, A., Miller, L., et al. (2009) · Geophysical Research Letters · doi:10.1029/2008gl036194 · Cited by 260
Metadata
- Authors
- Quinn, P. K., Shaw, G., Andrews, E., Dutton, E. G., Ruoho-Airola, T., & Gong, S. L.
- Venue
- Tellus B
- Publisher
- Stockholm University Press
- Published
- 2007-02-01
- Volume
- 59
- Issue
- 1
- ISSN
- 0280-6509 (ISSN-L)
- 1600-0889
- OpenAlex
- W2120643725
- Cited by
- 313
- References
- 72
- FWCI
- 14.22
- Type
- journal article
- Language
- en
- Open access
- closed
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: Arctic haze: current trends and knowledge gaps. https://app.cochat.ai/papers/10.3402/tellusb.v59i1.16972
- The paper
- Quinn, P. K., Shaw, G., Andrews, E., Dutton, E. G., Ruoho-Airola, T., & Gong, S. L. (2007). Arctic haze: current trends and knowledge gaps. Tellus B. https://doi.org/10.3402/tellusb.v59i1.16972
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.
