The DOI matches its Crossref record.
A new model for dust emission by saltation bombardment
Abstract
In this paper, we present an analysis on the mechanism of dust emission and describe a new model for the prediction of dust emission rate caused by saltation bombardment, based on the volume removal by impacting sand grains as they plough into the soil surface. The model predicts a relationship between the removed volume V and the particle impacting velocity U of the form V ∝ U n, with n = 2 ∼ 3. The dust emission rate is found to be proportional to u*n + 1, where u* is friction velocity. These model predictions are consistent with wind tunnel and field observations. The model offers a new interpretation of observed data and a simple scheme for the calculation of dust emission.
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
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
The role of dust in climate changes today, at the last glacial maximum and in the future
Harrison, S. P., Kohfeld, K. E., Roelandt, C., & Claquin, T. (2001) · Earth-Science Reviews · doi:10.1016/s0012-8252(01)00041-1 · Cited by 447
Knippertz, P., & Todd, M. C. (2012) · Reviews of Geophysics · doi:10.1029/2011rg000362 · Cited by 406
Simplification of a dust emission scheme and comparison with data
Shao, Y. (2004) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2003jd004372 · Cited by 324
Self-citationPérez, C., Haustein, K., Janjic, Z., Jorba, O., Huneeus, N., Baldasano, J. M., Black, T., Basart, S., Nickovic, S., Miller, R. L., et al. (2011) · Atmospheric Chemistry and Physics · doi:10.5194/acp-11-13001-2011 · Cited by 254
Metadata
- Authors
- Lu, H., & Shao, Y.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 1999-07
- Volume
- 104
- Issue
- D14
- Pages
- 16827-16842
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2003747578
- Cited by
- 197
- References
- 0
- FWCI
- 4.88
- 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: A new model for dust emission by saltation bombardment. https://app.cochat.ai/papers/10.1029/1999jd900169
- The paper
- Lu, H., & Shao, Y. (1999). A new model for dust emission by saltation bombardment. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/1999jd900169
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.