using records from submarine, aircraft and satellites to evaluate climate model simulations of arctic sea ice thickness
Clicks: 160
ID: 219782
2014
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
160 views
25 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #84 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
Arctic sea ice thickness distributions from models participating in the
World Climate Research Programme Coupled Model Intercomparison Project Phase
5 (CMIP5) are evaluated against observations from submarines, aircraft and
satellites. While it is encouraging that the mean thickness distributions
from the models are in general agreement with observations, the spatial
patterns of sea ice thickness are poorly represented in most models. The
poor spatial representation of thickness patterns is associated with a
failure of models to represent details of the mean atmospheric circulation
pattern that governs the transport and spatial distribution of sea ice. The
climate models as a whole also tend to underestimate the rate of ice volume
loss from 1979 to 2013, though the multimodel ensemble mean trend remains
within the uncertainty of that from the Pan-Arctic Ice Ocean Modeling and
Assimilation System. Although large uncertainties in observational products
complicate model evaluations, these results raise concerns regarding the
ability of CMIP5 models to realistically represent the processes driving the
decline of Arctic sea ice and to project the timing of when a seasonally
ice-free Arctic may become a reality.
| Reference Key |
stroeve2014theusing
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;J. Stroeve;A. Barrett;M. Serreze;A. Schweiger |
| Journal | journal of applied polymer science |
| Year | 2014 |
| DOI |
10.5194/tc-8-1839-2014
|
| 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.