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Climate model shows large-scale wind and solar farms in the Sahara increase rain and vegetation

Overview of attention for article published in Science, September 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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129 Dimensions

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mendeley
368 Mendeley
Title
Climate model shows large-scale wind and solar farms in the Sahara increase rain and vegetation
Published in
Science, September 2018
DOI 10.1126/science.aar5629
Pubmed ID
Authors

Yan Li, Eugenia Kalnay, Safa Motesharrei, Jorge Rivas, Fred Kucharski, Daniel Kirk-Davidoff, Eviatar Bach, Ning Zeng

Abstract

Wind and solar farms offer a major pathway to clean, renewable energies. However, these farms would significantly change land surface properties, and, if sufficiently large, the farms may lead to unintended climate consequences. In this study, we used a climate model with dynamic vegetation to show that large-scale installations of wind and solar farms covering the Sahara lead to a local temperature increase and more than a twofold precipitation increase, especially in the Sahel, through increased surface friction and reduced albedo. The resulting increase in vegetation further enhances precipitation, creating a positive albedo-precipitation-vegetation feedback that contributes ~80% of the precipitation increase for wind farms. This local enhancement is scale dependent and is particular to the Sahara, with small impacts in other deserts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 887 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 368 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 368 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 71 19%
Student > Ph. D. Student 60 16%
Student > Master 43 12%
Student > Bachelor 30 8%
Other 16 4%
Other 50 14%
Unknown 98 27%
Readers by discipline Count As %
Earth and Planetary Sciences 59 16%
Environmental Science 58 16%
Engineering 32 9%
Energy 21 6%
Agricultural and Biological Sciences 19 5%
Other 58 16%
Unknown 121 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2189. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2024.
All research outputs
#3,983
of 25,770,491 outputs
Outputs from Science
#213
of 83,322 outputs
Outputs of similar age
#64
of 347,084 outputs
Outputs of similar age from Science
#5
of 1,214 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,322 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 347,084 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,214 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.