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Desert dust suppressing precipitation: A possible desertification feedback loop

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Rosenfeld, Daniel, Rudich, Yinon, Lahav, Ronen·2001·Proceedings of the National Academy of Sciences

Abstract

The effect of desert dust on cloud properties and precipitation has so far been studied solely by using theoretical models, which predict that rainfall would be enhanced. Here we present observations showing the contrary; the effect of dust on cloud properties is to inhibit precipitation. Using satellite and aircraft observations we show that clouds forming within desert dust contain small droplets and produce little precipitation by drop coalescence. Measurement of the size distribution and the chemical analysis of individual Saharan dust particles collected in such a dust storm suggest a possible mechanism for the diminished rainfall. The detrimental impact of dust on rainfall is smaller than that caused by smoke from biomass burning or anthropogenic air pollution, but the large abundance of desert dust in the atmosphere renders it important. The reduction of precipitation from clouds affected by desert dust can cause drier soil, which in turn raises more dust, thus providing a possible feedback loop to further decrease precipitation. Furthermore, anthropogenic changes of land use exposing the topsoil can initiate such a desertification feedback process.

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Metadata

Authors
Rosenfeld, D., Rudich, Y., & Lahav, R.
Venue
Proceedings of the National Academy of Sciences
Published
2001-05-15
Volume
98
Issue
11
Pages
5975-5980
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2124867185
Cited by
795
References
0
FWCI
18.31
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Desert dust suppressing precipitation: A possible desertification feedback loop. https://app.cochat.ai/papers/10.1073/pnas.101122798
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Rosenfeld, D., Rudich, Y., & Lahav, R. (2001). Desert dust suppressing precipitation: A possible desertification feedback loop. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.101122798

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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.