The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Chemical and size effects of hygroscopic aerosols on light scattering coefficients
Abstract
The extensive thermodynamic and optical properties recently reported [Tang and Munkelwitz, 1994a] for sulfate and nitrate solution droplets are incorporated into a visibility model for computing light scattering by hygroscopic aerosols. The following aerosol systems are considered: NH 4 HSO 4, (NH 4)2 SO 4, (NH 4)3 H(SO 4), NaHSO 4, Na 2 SO 4, NH 4 NO 3, and NaNO 3. In addition, H 2 SO 4 and NaCl are included to represent freshly formed sulfate and background sea‐salt aerosols, respectively. Scattering coefficients, based on 1 μg dry salt per cubic meter of air, are calculated as a function of relative humidity for aerosols of various chemical compositions and lognormal size distributions. For a given size distribution the light scattered by aerosol particles per unit dry‐salt mass concentration is only weakly dependent on chemical constituents of the hygroscopic sulfate and nitrate aerosols. Sulfuric acid and sodium chloride aerosols, however, are exceptions and scatter light more efficiently than all other inorganic salt aerosols considered in this study. Both internal and external mixtures exhibit similar light‐scattering properties. Thus for common sulfate and nitrate aerosols, since the chemical effect is outweighed by the size effect, it follows that observed light scattering by the ambient aerosol can be approximated, within practical measurement uncertainties, by assuming the aerosol being an external mixture. This has a definite advantage for either visibility degradation or climatic impact modeling calculations, because relevant data are now available for external mixtures but only very scarce for internal mixtures.
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
Climate Forcing by Anthropogenic Aerosols
Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coakley, J. A., Hansen, J. E., & Hofmann, D. J. (1992) · Science · doi:10.1126/science.255.5043.423 · Cited by 3,622
Tang, I. N., & Munkelwitz, H. R. (1994) · Journal of Geophysical Research: Atmospheres · doi:10.1029/94jd01345 · Cited by 863
Self-citationComposition and temperature dependence of the deliquescence properties of hygroscopic aerosols
Tang, I. N., & Munkelwitz, H. R. (1993) · Atmospheric Environment. Part A. General Topics · doi:10.1016/0960-1686(93)90204-c · Cited by 477
Self-citationOn the nature and origins of visibility-reducing aerosols in the los angeles air basin
White, W. H., & Roberts, P. T. (1977) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(77)90042-7 · Cited by 230
Aerosol size and relative humidity
Orr, C., Hurd, F. K., & Corbett, W. J. (1958) · Journal of Colloid Science · doi:10.1016/0095-8522(58)90055-2 · Cited by 205
The relative importance of atmospheric sulfates and nitrates in visibility reduction
Tang, I. N., Wong, W., & Munkelwitz, H. R. (1981) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(81)90062-7 · Cited by 182
Self-citationAerosol Phase Transformation and Growth in the Atmosphere
Tang, I. N., & Munkelwitz, H. R. (1994) · Journal of applied meteorology · Cited by 135
Self-citationOn the relationship between sulfate air quality and visibility with examples in los angeles
Cass, G. R. (1979) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(79)90031-3 · Cited by 125
Apportioning light extinction coefficients to chemical species in atmospheric aerosol
Hasan, H., & Dzubay, T. G. (1983) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(83)90310-4 · Cited by 92
Sulphate–light scattering ratio as an index of the role of sulphur in tropospheric optics
Waggoner, A. P., Vanderpol, A. H., Charlson, R. J., LARSEN, S., Granat, L., & Trägårdh, C. (1976) · Nature · doi:10.1038/261120a0 · Cited by 75
Cited by
Visibility: Science and Regulation
Watson, J. G. (2002) · Journal of the Air & Waste Management Association · doi:10.1080/10473289.2002.10470813 · Cited by 929
Formation and evolution mechanism of regional haze: a case study in the megacity Beijing, China
Liu, X. G., Li, J., Qu, Y., Han, T., Hou, L., Gu, J., Chen, C., Yang, Y., Liu, X., Yang, T., et al. (2013) · Atmospheric Chemistry and Physics · doi:10.5194/acp-13-4501-2013 · Cited by 440
Prediction of the number of cloud droplets in the ECHAM GCM
Lohmann, U., Feichter, J., Chuang, C. C., & Penner, J. E. (1999) · Journal of Geophysical Research: Atmospheres · doi:10.1029/1999jd900046 · Cited by 302
Zhang, Y., & Li, Z. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.02.005 · Cited by 291
Liu, Y., & Daum, P. H. (2008) · Journal of Aerosol Science · doi:10.1016/j.jaerosci.2008.06.006 · Cited by 238
Metadata
- Authors
- Tang, I. N.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 1996-08
- Volume
- 101
- Issue
- D14
- Pages
- 19245-19250
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2047442548
- Cited by
- 623
- References
- 10
- FWCI
- 3.33
- 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
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.