Journal metrics

Journal metrics

  • IF value: 3.174 IF 3.174
  • IF 5-year value: 3.841 IF 5-year 3.841
  • CiteScore value: 3.48 CiteScore 3.48
  • SNIP value: 1.078 SNIP 1.078
  • SJR value: 1.981 SJR 1.981
  • IPP value: 3.38 IPP 3.38
  • h5-index value: 42 h5-index 42
  • Scimago H index value: 58 Scimago H index 58
Clim. Past, 14, 901-922, 2018
https://doi.org/10.5194/cp-14-901-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
26 Jun 2018
A spatiotemporal reconstruction of sea-surface temperatures in the North Atlantic during Dansgaard–Oeschger events 5–8
Mari F. Jensen1, Aleksi Nummelin2,3, Søren B. Nielsen4, Henrik Sadatzki1, Evangeline Sessford1, Bjørg Risebrobakken5, Carin Andersson5, Antje Voelker6, William H. G. Roberts7, Joel Pedro8, and Andreas Born1,9,10 1Department of Earth Science, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway
2Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway
3Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA
4Climate and Computational Geophysics, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
5Uni Research Climate and Bjerknes Centre for Climate Research, Bergen, Norway
6Instituto Português do Mar e da Atmosfera, Lisbon, and Centre of Marine Sciences (CCMAR), University of Algarve, Faro, Portugal
7University of Bristol, Bristol, UK
8Center for Ice and Climate, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
9Institute of Physics, University of Bern, Bern, Switzerland
10Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Abstract. Here, we establish a spatiotemporal evolution of the sea-surface temperatures in the North Atlantic over Dansgaard–Oeschger (DO) events 5–8 (approximately 30–40 kyr) using the proxy surrogate reconstruction method. Proxy data suggest a large variability in North Atlantic sea-surface temperatures during the DO events of the last glacial period. However, proxy data availability is limited and cannot provide a full spatial picture of the oceanic changes. Therefore, we combine fully coupled, general circulation model simulations with planktic foraminifera based sea-surface temperature reconstructions to obtain a broader spatial picture of the ocean state during DO events 5–8. The resulting spatial sea-surface temperature patterns agree over a number of different general circulation models and simulations. We find that sea-surface temperature variability over the DO events is characterized by colder conditions in the subpolar North Atlantic during stadials than during interstadials, and the variability is linked to changes in the Atlantic Meridional Overturning circulation and in the sea-ice cover. Forced simulations are needed to capture the strength of the temperature variability and to reconstruct the variability in other climatic records not directly linked to the sea-surface temperature reconstructions. This is the first time the proxy surrogate reconstruction method has been applied to oceanic variability during MIS3. Our results remain robust, even when age uncertainties of proxy data, the number of available temperature reconstructions, and different climate models are considered. However, we also highlight shortcomings of the methodology that should be addressed in future implementations.
Citation: Jensen, M. F., Nummelin, A., Nielsen, S. B., Sadatzki, H., Sessford, E., Risebrobakken, B., Andersson, C., Voelker, A., Roberts, W. H. G., Pedro, J., and Born, A.: A spatiotemporal reconstruction of sea-surface temperatures in the North Atlantic during Dansgaard–Oeschger events 5–8, Clim. Past, 14, 901-922, https://doi.org/10.5194/cp-14-901-2018, 2018.
Publications Copernicus
Download
Short summary
We combine North Atlantic sea-surface temperature reconstructions and global climate model simulations to study rapid glacial climate shifts (30–40 000 years ago). Pre-industrial climate boosts similar, albeit weaker, sea-surface temperature variability as the glacial period. However, in order to reproduce most of the amplitude of this variability, and to see temperature variability in Greenland similar to the ice-core record, although with a smaller amplitude, we need forced simulations.
We combine North Atlantic sea-surface temperature reconstructions and global climate model...
Share