FN Archimer Export Format PT J TI A global mean sea surface temperature dataset for the Last Interglacial (129–116 ka) and contribution of thermal expansion to sea level change BT AF Turney, Chris S. M. Jones, Richard T. McKay, Nicholas P. van Sebille, Erik Thomas, Zoë A. Hillenbrand, Claus-Dieter Fogwill, Christopher J. AS 1:1,2;2:3;3:4;4:5,6,7;5:1,2;6:8;7:1,9; FF 1:;2:;3:;4:;5:;6:;7:; C1 Earth and Sustainability Science Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia ARC Centre of Excellence in Australian Biodiversity and Heritage, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia Department of Geography, Exeter University, Devon, EX4 4RJ, UK School of Earth and Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA Grantham Institute, Imperial College London, London SW7 2AZ, UK Department of Physics, Imperial College London, London SW7 2AZ, UK Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 0ET, UK School of Geography, Geology and the Environment, Keele University, Keele ST5 5BG, UK C2 UNIV NEW SOUTH WALES, AUSTRALIA UNIV NEW SOUTH WALES, AUSTRALIA UNIV EXETER, UK UNIV NORTHERN ARIZONA, USA IMPERIAL COLL LONDON, UK IMPERIAL COLL LONDON, UK UNIV UTRECHT, NETHERLANDS BRITISH ANTARCTIC SURVEY (BAS), UK UNIV KEELE, UK IN DOAJ IF 11.333 TC 26 UR https://archimer.ifremer.fr/doc/00663/77549/79436.pdf https://archimer.ifremer.fr/doc/00663/77549/79437.pdf https://archimer.ifremer.fr/doc/00663/77549/79438.pdf https://archimer.ifremer.fr/doc/00663/77549/79439.zip LA English DT Article CR IMAGES 4-MD111 MD 152 / MATACORE BO Marion Dufresne AB A valuable analogue for assessing Earth's sensitivity to warming is the Last Interglacial (LIG; 129–116 ka), when global temperatures (0 to +2 ∘C) and mean sea level (+6 to 11 m) were higher than today. The direct contribution of warmer conditions to global sea level (thermosteric) is uncertain. We report here a global network of LIG sea surface temperatures (SST) obtained from various published temperature proxies (e.g. faunal and floral plankton assemblages, Mg ∕ Ca ratios of calcareous organisms, and alkenone UK′37). We summarize the current limitations of SST reconstructions for the LIG and the spatial temperature features of a naturally warmer world. Because of local δ18O seawater changes, uncertainty in the age models of marine cores, and differences in sampling resolution and/or sedimentation rates, the reconstructions are restricted to mean conditions. To avoid bias towards individual LIG SSTs based on only a single (and potentially erroneous) measurement or a single interpolated data point, here we report average values across the entire LIG. Each site reconstruction is given as an anomaly relative to 1981–2010, corrected for ocean drift, and where available seasonal estimates are provided (189 annual, 99 December–February, and 92 June–August records). To investigate the sensitivity of the reconstruction to high temperatures, we also report maximum values during the first 5 millennia of the LIG (129–124 ka). We find mean global annual SST anomalies of 0.2 ± 0.1 ∘C averaged across the LIG and an early maximum peak of 0.9 ± 0.1 ∘C, respectively. The global dataset provides a remarkably coherent pattern of higher SST increases at polar latitudes than in the tropics (demonstrating the polar amplification of surface temperatures during the LIG), with comparable estimates between different proxies. Polewards of 45∘ latitude, we observe annual SST anomalies averaged across the full LIG of > 0.8 ± 0.3 ∘C in both hemispheres with an early maximum peak of > 2.1 ± 0.3 ∘C. Using the reconstructed SSTs suggests a mean LIG global thermosteric sea level rise of 0.08 ± 0.1 m and a peak contribution of 0.39 ± 0.1 m, respectively (assuming warming penetrated to 2000 m depth). The data provide an important natural baseline for a warmer world, constraining the contributions of Greenland and Antarctic ice sheets to global sea level during a geographically widespread expression of high sea level, and can be used to test the next inter-comparison of models for projecting future climate change. The dataset described in this paper, including summary temperature and thermosteric sea level reconstructions, is available at https://doi.org/10.1594/PANGAEA.904381 (Turney et al., 2019). PY 2020 PD DEC SO Earth System Science Data SN 1866-3508 PU Copernicus GmbH VL 12 IS 4 UT 000599511000001 BP 3341 EP 3356 DI 10.5194/essd-12-3341-2020 ID 77549 ER EF