The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Incorporation of mineralogical composition into models of the radiative properties of mineral aerosol from UV to IR wavelengths
Abstract
We describe a technique to model the radiative properties of mineral aerosols which accounts for their composition. We compile a data set of refractive indices of major minerals and employ it, along with data on mineralogical composition of dust from various locations, to calculate spectral optical and radiative properties of mineral aerosol mixtures. Such radiative properties are needed for climate modeling and remote sensing applications. We consider external mixtures of individual minerals, as well as mixtures of aggregates. We demonstrate that an external mixture of individual minerals must contain unrealistically high amounts of hematite to have a single scattering albedo lower than 0.9 at 500 nm wavelength. In contrast, aggregation of hematite with quartz or clays can strongly enhance absorption by dust at solar wavelengths. We also simulate the daily mean net (solar + infrared) forcing by dust of varying compositions. We found that, for a given composition and under similar atmospheric conditions, a mixture of aggregates can cause the positive radiative forcing while a mixture of individual minerals gives the negative forcing.
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Cites
Absorption and Scattering of Light by Small Particles
Bohren, C. F., & Huffman, D. R. (1998) · doi:10.1002/9783527618156 · Cited by 18,474
Absorption and Scattering of Light by Small Particles
Brown, R. G. W. (1984) · Optica Acta: International Journal of Optics · doi:10.1080/716099663 · Cited by 6,612
Modeling the atmospheric dust cycle: 1. Design of a soil‐derived dust emission scheme
Marticorena, B., & Bergametti, G. (1995) · Journal of Geophysical Research: Atmospheres · doi:10.1029/95jd00690 · Cited by 1,409
Aeolian Dust and Dust Deposits
(1987) · Elsevier eBooks · doi:10.1016/c2013-0-05007-4 · Cited by 1,128
Atmospheric Aerosols: Global Climatology and Radiative Characteristics
d’Almeida, G. A., Koepke, P., & Shettle, E. P. (1991) · Medical Entomology and Zoology · Cited by 921
Direct radiative forcing by anthropogenic airborne mineral aerosols
Sokolik, I. N., & Toon, O. B. (1996) · Nature · doi:10.1038/381681a0 · Cited by 775
Self-citationAtmospheric transport of soil dust from Africa to South America
Prospero, J. M., Glaccum, R. A., & Nees, R. T. (1981) · Nature · doi:10.1038/289570a0 · Cited by 545
Effects of mixing on extinction by carbonaceous particles
Fuller, K. A., Malm, W. C., & Kreidenweis, S. M. (1999) · Journal of Geophysical Research: Atmospheres · doi:10.1029/1998jd100069 · Cited by 544
Ackerman, T. P., & Toon, O. B. (1981) · Applied Optics · doi:10.1364/ao.20.003661 · Cited by 413
Self-citationModeling the atmospheric dust cycle: 2. Simulation of Saharan dust sources
Marticorena, B., Bergametti, G., Aumont, B., Callot, Y., N'Doumé, C., & Legrand, M. (1997) · Journal of Geophysical Research: Atmospheres · doi:10.1029/96jd02964 · Cited by 396
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Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review
Haywood, J., & Boucher, O. (2000) · Reviews of Geophysics · doi:10.1029/1999rg000078 · Cited by 2,097
Chin, M., Ginoux, P., Kinne, S., Torres, O., Holben, B. N., Duncan, B. N., Martin, R. V., Logan, J. A., Higurashi, A., & Nakajima, T. (2002) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(2002)059<0461:taotft>2.0.co;2 · Cited by 1,540
Atmospheric global dust cycle and iron inputs to the ocean
Mahowald, N. M., Baker, A. R., Bergametti, G., Brooks, N., Duce, R. A., Jickells, T. D., Kubilay, N., Prospero, J. M., & Tegen, I. (2005) · Global Biogeochemical Cycles · doi:10.1029/2004gb002402 · Cited by 1,236
Bergstrom, R. W., Russell, P. B., & Hignett, P. (2002) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(2002)059<0567:wdotao>2.0.co;2 · Cited by 357
Reid, E. A., Reid, J. S., Meier, M. M., Dunlap, M. R., Cliff, S. S., Broumas, A., Perry, K., & Maring, H. (2003) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2002jd002935 · Cited by 300
The impact of dust storms on the Arabian Peninsula and the Red Sea
Jish Prakash, P., Stenchikov, G., Kalenderski, S., Osipov, S., & Bangalath, H. (2015) · Atmospheric Chemistry and Physics · doi:10.5194/acp-15-199-2015 · Cited by 294
Mid-infrared reflectance spectra and optical constants of six iron oxide/oxyhydroxide phases
Glotch, T. D., & Rossman, G. R. (2009) · Icarus · doi:10.1016/j.icarus.2009.07.024 · Cited by 84
Metadata
- Authors
- Sokolik, I. N., & Toon, O. B.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 1999-04
- Volume
- 104
- Issue
- D8
- Pages
- 9423-9444
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2004996508
- Cited by
- 939
- References
- 24
- FWCI
- 25.70
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
