relationships between arctic sea ice drift and strength modelled by nemo-lim3.6
Clicks: 153
ID: 230244
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
153 views
24 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #87 of 134 articles by views in journal of applied polymer science
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 134 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Sea ice cover and thickness have substantially decreased in the Arctic Ocean
since the beginning of the satellite era. As a result, sea ice strength has
been reduced, allowing more deformation and fracturing and leading to
increased sea ice drift speed. We use the version 3.6 of the global ocean–sea
ice NEMO-LIM model (Nucleus for European Modelling of the Ocean coupled to
the Louvain-la-Neuve sea Ice Model), satellite, buoy and submarine
observations, as well as reanalysis data over the period from 1979 to 2013 to
study these relationships. Overall, the model agrees well with observations
in terms of sea ice extent, concentration and thickness. The seasonal cycle
of sea ice drift speed is reasonably well reproduced by the model.
NEMO-LIM3.6 is able to capture the relationships between the seasonal cycles
of sea ice drift speed, concentration and thickness, with higher drift speed
for both lower concentration and lower thickness, in agreement with
observations. Model experiments are carried out to test the sensitivity of
Arctic sea ice drift speed, thickness and concentration to changes in sea ice
strength parameter P*. These show that higher values of P* generally
lead to lower sea ice deformation and lower sea ice thickness, and that no
single value of P* is the best option for reproducing the observed drift
speed and thickness. The methodology proposed in this analysis provides a
benchmark for a further model intercomparison related to the relationships
between sea ice drift speed and strength, which is especially relevant in the
context of the upcoming Coupled Model Intercomparison Project 6 (CMIP6).
| Reference Key |
docquier2017therelationships
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;D. Docquier;F. Massonnet;F. Massonnet;A. Barthélemy;N. F. Tandon;O. Lecomte;T. Fichefet |
| Journal | journal of applied polymer science |
| Year | 2017 |
| DOI |
10.5194/tc-11-2829-2017
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.