Sea surface temperature estimates from several sediment cores in the North Atlantic

• Main Authors: Jensen, Mari F, Nummelin, Aleksi, Nielsen, Søren B, Sadatzki, Henrik, Sessford, Evangeline, Risebrobakken, Bjørg, Andersson, Carin, Voelker, Antje H L, Roberts, William H G, Pedro, Joel B, Born, Andreas
• Format: Dataset
• Language: English
• Published: PANGAEA 2017
• Subjects: 162-983A; 3664N/S; 94-609_Site; AGE; ALIENOR; Arctic Ocean; CALYPSO; Calypso Corer; Calypso Square Core System; CASQS; CH69-K09; COMPCORE; Composite Core; Depth; bottom/max; composite; sediment/rock; top/min; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; GC; GEOSCIENCES; MARMARCORE; GIK15612-2; GIK23415-9; Glomar Challenger; Gravity corer; Gravity corer (Kiel type); IMAGES I; IMAGES V; Jan Mayen; JM96; JM96-1225/2-GC; Joides Resolution; KAL; Kasten corer; KOL; Leg162; Leg94; Le Suroît; M17/2; M57; Marion Dufresne (1995); Maximum-likelihood estimation (MLE); MD01-2461; Arctic; Kol’; Foraminifera*; North Atlantic; Sea ice
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.882403; https://doi.org/10.1594/PANGAEA.882403

Here, we have calculated new sea-surface temperature estimates over Dansgaard-Oeschger (DO) events 5-8 (c. 30-40 ka) from 14 sites in the North Atlantic, based on previously published planktic foraminifera relative abundance datasets. These proxy records suggest a large variability in North Atlantic sea-surface temperatures during 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 the 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 AMOC, 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 climate records not directly linked to the sea-surface temperature reconstructions.