temperature reconstruction from 10 to 120 kyr b2k from the ngrip ice core
Clicks: 103
ID: 220581
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
103 views
9 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #88 of 96 articles by views in proceedings - 16th ieee/acis international conference on computer and information science, icis 2017
Most read
Least read
Bar heights use a square-root scale.
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
In order to reconstruct the temperature of the North Greenland Ice Core
Project (NGRIP) site, new measurements of δ15N have been performed
covering the time period from the beginning of the Holocene to
Dansgaard–Oeschger (DO) event 8. Together with previously measured and
mostly published δ15N data, we present for the first time a NGRIP
temperature reconstruction for the whole last glacial period from 10 to
120 kyr b2k (thousand years before 2000 AD) including every DO event based
on δ15N isotope measurements combined with a firn densification and
heat diffusion model. The detected temperature rises at the onset of DO
events range from 5 °C (DO 25) up to 16.5 °C (DO 11) with an
uncertainty of ±3 °C. To bring measured and modelled data into
agreement, we had to reduce the accumulation rate given by the NGRIP
ss09sea06bm timescale in some periods by 30 to 35%, especially during the
last glacial maximum. A comparison between reconstructed temperature and
δ18Oice data confirms that the isotopic composition of
the stadial was strongly influenced by seasonality. We evidence
an anticorrelation between the variations of the
δ18Oice sensitivity to temperature (referred to as
α) and obliquity in agreement with a simple Rayleigh distillation
model. Finally, we suggest that α might be influenced by the Northern
Hemisphere ice sheet volume.
| Reference Key |
kindler2014climatetemperature
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;P. Kindler;M. Guillevic;M. Baumgartner;J. Schwander;A. Landais;M. Leuenberger |
| Journal | proceedings - 16th ieee/acis international conference on computer and information science, icis 2017 |
| Year | 2014 |
| DOI |
10.5194/cp-10-887-2014
|
| 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.