The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Modeling of mineral dust in the atmosphere: Sources, transport, and optical thickness
Abstract
A global three‐dimensional model of the atmospheric mineral dust cycle is developed for the study of its impact on the radiative balance of the atmosphere. The model includes four size classes of mineral dust, whose source distributions are based on the distributions of vegetation, soil texture and soil moisture. Uplift and deposition are parameterized using analyzed winds and rainfall statistics that resolve high‐frequency events. Dust transport in the atmosphere is simulated with the tracer transport model of the Goddard Institute for Space Studies. The simulated seasonal variations of dust concentrations show general reasonable agreement with the observed distributions, as do the size distributions at several observing sites. The discrepancies between the simulated and the observed dust concentrations point to regions of significant land surface modification. Monthly distribution of aerosol optical depths are calculated from the distribution of dust particle sizes. The maximum optical depth due to dust is 0.4–0.5 in the seasonal mean. The main uncertainties, about a factor of 3–5, in calculating optical thicknesses arise from the crude resolution of soil particle sizes, from insufficient constraint by the total dust loading in the atmosphere, and from our ignorance about adhesion, agglomeration, uplift, and size distributions of fine dust particles (<1 μm).
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Cites
The atmospheric input of trace species to the world ocean
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Cited by
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
Self-citationDust cycle: An emerging core theme in Earth system science
Shao, Y., Wyrwoll, K.-H., Chappell, A., Huang, J., Lin, Z., McTainsh, G. H., Mikami, M., Tanaka, T. Y., Wang, X., & Yoon, S. (2011) · Aeolian Research · doi:10.1016/j.aeolia.2011.02.001 · Cited by 1,085
The influence on climate forcing of mineral aerosols from disturbed soils
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Self-citationThe effect of physical and chemical aerosol properties on warm cloud droplet activation
McFiggans, G., Artaxo, P., Baltensperger, U., Coe, H., Facchini, M. C., Feingold, G., Fuzzi, S., Gysel, M., Laaksonen, A., Lohmann, U., et al. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-2593-2006 · Cited by 710
Metadata
- Authors
- Tegen, I., & Fung, I.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 1994-11-20
- Volume
- 99
- Issue
- D11
- Pages
- 22897-22914
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2040011295
- Cited by
- 874
- References
- 28
- FWCI
- 14.28
- 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.
