↓ Skip to main content

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
Altmetric Badge

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)

Mentioned by

news
166 news outlets
blogs
28 blogs
twitter
902 tweeters
facebook
13 Facebook pages
googleplus
11 Google+ users
reddit
8 Redditors
video
2 video uploaders

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
272 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.

Twitter Demographics

The data shown below were collected from the profiles of 902 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 272 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 23%
Student > Ph. D. Student 49 18%
Student > Master 38 14%
Student > Bachelor 27 10%
Other 12 4%
Other 34 13%
Unknown 50 18%
Readers by discipline Count As %
Earth and Planetary Sciences 52 19%
Environmental Science 51 19%
Engineering 24 9%
Energy 18 7%
Agricultural and Biological Sciences 15 6%
Other 48 18%
Unknown 64 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 2156. 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 23 May 2021.
All research outputs
#2,084
of 18,016,055 outputs
Outputs from Science
#142
of 71,670 outputs
Outputs of similar age
#54
of 284,682 outputs
Outputs of similar age from Science
#6
of 1,125 outputs
Altmetric has tracked 18,016,055 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 71,670 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.3. 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 284,682 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 1,125 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.