Spatial and Temporal Robustness of Sr/Ca-SST Calibrations in Red Sea Corals: Evidence for Influence of Mean Annual Temperature on Calibration Slopes

S. A. Murty, W. N. Bernstein, J. E. Ossolinski, R. S. Davis, N. F. Goodkin, K. A. Hughen

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Sr/Ca ratios recorded in the aragonite skeleton of massive coral colonies are commonly used to reconstruct seasonal- to centennial-scale variability in sea surface temperature (SST). While the Sr/Ca paleothermometer is robust in individual colonies, Sr/Ca-SST relationships between colonies vary, leading to questions regarding the utility of the proxy. We present biweekly-resolution calibrations of Sr/Ca from five Porites lobata/lutea corals to satellite SST across 10° of latitude in the Red Sea to evaluate the Sr/Ca proxy across both spatial and temporal scales. SST is significantly correlated with coral Sr/Ca at each site, accounting for 69-84% of Sr/Ca variability (p
Original languageEnglish (US)
Pages (from-to)443-456
Number of pages14
JournalPaleoceanography and Paleoclimatology
Volume33
Issue number5
DOIs
StatePublished - May 9 2018
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): USA 00002, KSA 00011
Acknowledgements: We thank the crew of the M/V Dream Island for help in the collection of the coral cores. This study was funded by the King Abdullah University of Science and Technology (KAUST Award Nos. USA 00002 and KSA 00011) and the U.S. National Science Foundation (NSF Award No. OCE-1031288) grants to K. Hughen. This research was also supported by the National Research Foundation Singapore and the Singapore Ministry of Education under the Research Centres of Excellence initiative and by the National Research Foundation Singapore under its Singapore NRF Fellowship scheme (National Research Fellowship Award to N. Goodkin, NRFF-2012-03). The coral Sr/Ca data generated in this study can be found in Table S5 and are archived at the NOAA NCDC World Data Center for Paleoclimatology at http://www.ncdc.noaa.gov/data-access/paleoclimatology-data/datasets.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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