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Heterogeneity in topographic control on velocities of Western Himalayan glaciers

Overview of attention for article published in Scientific Reports, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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2 news outlets
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Title
Heterogeneity in topographic control on velocities of Western Himalayan glaciers
Published in
Scientific Reports, August 2018
DOI 10.1038/s41598-018-31310-y
Pubmed ID
Authors

Lydia Sam, Anshuman Bhardwaj, Rajesh Kumar, Manfred F. Buchroithner, F. Javier Martín-Torres

Abstract

Studies of the seasonal and annual patterns of glacier velocities improve our understanding of the ice volume, topography, responses to climate change, and surge events of glaciers. Such studies are especially relevant and equally rare for the Himalayan glaciers, which supply many rivers that sustain some of the most heavily populated mountainous regions in the world. In particular, the control of the hypsometric distribution of geomorphometric parameters, such as slope, aspect, and curvature, on the dynamics of Himalayan glaciers have never been studied so far, at the river basin scale. Here, we present the degree to which topographic and hypsometric parameters affect the seasonal and annual average flow velocities of 112 glaciers in the Baspa River basin in the Western Indian Himalaya by analysing Global Land Ice Velocity Extraction from Landsat 8 (GoLIVE) datasets for the years 2013-2017. We observe, (i) significant heterogeneity in topographic controls on the velocities of these glaciers, (ii) elevation and the seasons play important roles in regulating the degree to which morphometric parameters (slope, aspect, and curvature) affect these velocities, (iii) a possible polythermal regime promoting both sliding and deformational forms of motion in a majority of these glaciers, and (iv) a detailed analysis of complex topographic controls within various elevation zones using a novel hypso-morphometric approach. These findings can help us to better model the dynamics of Himalayan glaciers and their responses to the future climatic scenarios. The inferences also suggest the need to incorporate dynamic topography in glacio-hydrological models in the wake of constant glacial evolutions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Researcher 11 18%
Student > Master 4 7%
Student > Bachelor 3 5%
Student > Doctoral Student 3 5%
Other 10 17%
Unknown 14 23%
Readers by discipline Count As %
Earth and Planetary Sciences 24 40%
Environmental Science 5 8%
Psychology 2 3%
Computer Science 2 3%
Agricultural and Biological Sciences 2 3%
Other 6 10%
Unknown 19 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 24 October 2018.
All research outputs
#2,249,463
of 23,102,082 outputs
Outputs from Scientific Reports
#19,873
of 124,866 outputs
Outputs of similar age
#48,737
of 334,958 outputs
Outputs of similar age from Scientific Reports
#590
of 3,594 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 124,866 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 84% 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 334,958 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 3,594 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.