↓ Skip to main content

Enduring Lagrangian coherence of a Loop Current ring assessed using independent observations

Overview of attention for article published in Scientific Reports, July 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
43 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Enduring Lagrangian coherence of a Loop Current ring assessed using independent observations
Published in
Scientific Reports, July 2018
DOI 10.1038/s41598-018-29582-5
Pubmed ID
Authors
Abstract

Ocean flows are routinely inferred from low-resolution satellite altimetry measurements of sea surface height assuming a geostrophic balance. Recent nonlinear dynamical systems techniques have revealed that surface currents derived from altimetry can support mesoscale eddies with material boundaries that do not filament for many months, thereby representing effective transport mechanisms. However, the long-range Lagrangian coherence assessed for mesoscale eddy boundaries detected from altimetry is constrained by the impossibility of current altimeters to resolve ageostrophic submesoscale motions. These may act to prevent Lagrangian coherence from manifesting in the rigorous form described by the nonlinear dynamical systems theories. Here we use a combination of satellite ocean color and surface drifter trajectory data, rarely available simultaneously over an extended period of time, to provide observational evidence for the enduring Lagrangian coherence of a Loop Current ring detected from altimetry. We also seek indications of this behavior in the flow produced by a data-assimilative system which demonstrated ability to reproduce observed relative dispersion statistics down into the marginally submesoscale range. However, the simulated flow, total surface and subsurface or subsampled emulating altimetry, is not found to support the long-lasting Lagrangian coherence that characterizes the observed ring. This highlights the importance of the Lagrangian metrics produced by the nonlinear dynamical systems tools employed here in assessing model performance.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 19%
Student > Doctoral Student 7 16%
Student > Ph. D. Student 7 16%
Student > Master 6 14%
Other 2 5%
Other 4 9%
Unknown 9 21%
Readers by discipline
Readers by discipline Count As %
Earth and Planetary Sciences 21 49%
Environmental Science 3 7%
Physics and Astronomy 2 5%
Arts and Humanities 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 9%
Unknown 11 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 July 2018.
All research outputs
#20,527,576
of 23,096,849 outputs
Outputs from Scientific Reports
#106,786
of 124,838 outputs
Outputs of similar age
#288,682
of 330,319 outputs
Outputs of similar age from Scientific Reports
#3,090
of 3,628 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 124,838 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 330,319 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,628 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.