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A TEX₈₆ surface sediment database and extended Bayesian calibration
Jessica E Tierney1, Martin P Tingley2
1Woods Hole Oceanographic Institution , 266 Woods Hole Road, Woods Hole, MA 02543, USA ; The University of Arizona, Department of Geosciences , 1040 E 4th St Tucson, AZ 85721, USA.
Paleoclimatology uses marine sediment data to reconstruct past temperatures. A new database of TEX86 proxy measurements refines temperature predictions, confirming a strong link between archaeal lipids and ocean warmth.
Area of Science:
- Paleoclimatology
- Marine Geochemistry
- Organic Geochemistry
Background:
- Quantitative paleotemperature estimates are crucial for understanding past climate dynamics.
- Marine sediment proxies require accurate calibration with modern environmental conditions for reliable reconstructions.
- The TEX86 proxy, derived from marine archaeal glycerol dialkyl glycerol tetraether (GDGT) lipids, is a key tool for paleotemperature reconstruction.
Purpose of the Study:
- To present a comprehensive, machine-readable database of 1095 TEX86 surface sediment measurements.
- To update and improve surface and subsurface temperature calibration models for the TEX86 proxy.
- To demonstrate the enhanced applicability of the TEX86 proxy for predicting past ocean temperatures.
Main Methods:
- Compilation of a large dataset of TEX86 measurements from marine surface sediments.
- Inclusion of geospatial information, lipid fractional abundances, and metadata for each sample.
- Development and refinement of TEX86 temperature calibration models using the new database.
Main Results:
- The TEX86 database confirms a robust relationship between surface sediment GDGT distribution and temperature.
- Temperature variations account for over 70% of the variance observed in the TEX86 data.
- The updated calibration models enhance the accuracy of TEX86-based paleotemperature reconstructions.
Conclusions:
- The presented TEX86 database is a valuable resource for paleoclimate research.
- The updated calibration models improve the reliability of past temperature predictions using the TEX86 proxy.
- Future research can leverage this dataset to explore secondary factors influencing GDGT distributions, such as archaeal community composition.
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