The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
A comprehensive numerical model of steady state saltation (COMSALT)
Abstract
The blowing of sand by wind, known as saltation, ejects dust aerosols into the atmosphere, creates sand dunes, and erodes geological features. We present a comprehensive numerical model of steady state saltation (COMSALT) that, in contrast to most previous studies, can reproduce a wide range of measurements and can simulate saltation over mixed soils. COMSALT calculates the motion of saltating particles due to gravity, fluid drag, particle spin, fluid shear, and turbulence and explicitly accounts for the retardation of the wind due to drag from saltating particles. Furthermore, we included a novel physically based parameterization of the ejection of surface particles by impacting saltating particles which matches experimental results. COMSALT is the first numerical saltation model to reproduce measurements of the wind shear velocity at the impact threshold (i.e., the lowest shear velocity for which saltation is possible) and of the aerodynamic roughness length in saltation. It also reproduces a range of other saltation processes, including profiles of the wind speed and particle mass flux, and the size distribution of saltating particles. As such, COMSALT is the first physically based numerical model to reproduce such a wide range of experimental data. Since we use a minimum of empirical relations, COMSALT can be easily adapted to study saltation under a variety of physical conditions, such as saltation on other planets, saltation under water, and saltating snow.
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Cites
Solving ordinary differential equations I. nonstiff problems
(1987) · Mathematics and Computers in Simulation · doi:10.1016/0378-4754(87)90083-8 · Cited by 4,077
The lift on a small sphere in a slow shear flow
Saffman, P. G. (1965) · Journal of Fluid Mechanics · doi:10.1017/s0022112065000824 · Cited by 3,426
The Physics of Blown Sand and Desert Dunes
Bagnold, R. A. (1971) · Springer eBooks · doi:10.1007/978-94-009-5682-7 · Cited by 3,249
Global Iron Connections Between Desert Dust, Ocean Biogeochemistry, and Climate
Jickells, T. D., An, Z. S., Andersen, K. K., Baker, A. R., Bergametti, G., Brooks, N., Cao, J. J., Boyd, P. W., Duce, R. A., Hunter, K. A., et al. (2005) · Science · doi:10.1126/science.1105959 · Cited by 2,881
Solving Ordinary Differential Equations I
Hairer, E., Nørsett, S. P., & Wanner, G. (1987) · Springer Series in Computational Mathematics · doi:10.1007/978-3-662-12607-3 · Cited by 2,397
Wind stress on a water surface
Charnock, H. (1955) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49708135027 · Cited by 1,906
The Physics of Blown Sand and Desert Dunes
HEYWOOD, H. (1941) · Nature · doi:10.1038/148480a0 · Cited by 1,897
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
Saltation of uniform grains in air
Owen, P. R. (1964) · Journal of Fluid Mechanics · doi:10.1017/s0022112064001173 · Cited by 1,098
The transverse force on a spinning sphere moving in a viscous fluid
Rubinow, S. I., & Keller, J. B. (1961) · Journal of Fluid Mechanics · doi:10.1017/s0022112061000640 · Cited by 1,074
Cited by
The physics of wind-blown sand and dust
Kok, J. F., Parteli, E. J. R., Michaels, T. I., & Karam, D. B. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/10/106901 · Cited by 1,608
Self-citationKok, J. F. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1014798108 · Cited by 607
Self-citationMelosh, H. J. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511977848 · Cited by 311
Alwis, L., Sun, T., & Grattan, K. T. V. (2013) · Measurement · doi:10.1016/j.measurement.2013.07.030 · Cited by 276
Eolianite Grain Size Distributions as a Proxy for Large Changes in Planetary Atmospheric Density
Goosmann, E. A., Catling, D. C., Som, S. M., Altermann, W., & Buick, R. (2018) · Journal of Geophysical Research: Planets · doi:10.1029/2018je005723 · Cited by 18
Metadata
- Authors
- Kok, J. F., & Renno, N. O.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2009-09-09
- Volume
- 114
- Issue
- D17
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2026289849
- Cited by
- 314
- References
- 95
- FWCI
- 16.30
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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