Abstract

Oxygen and hydrogen isotope ratios in polar precipitation are widely used as proxies for local temperature. Used in combination, oxygen and hydrogen isotope ratios also provide information on sea surface temperature at the oceanic moisture source locations where polar precipitation originates. Temperature reconstructions obtained from ice core records generally rely on linear approximations of the relationships among local temperature, source temperature and water-isotope values. However, there are important nonlinearities that significantly affect such reconstructions, particularly for source-region temperatures. Here, we describe a temperature reconstruction method that accounts for these nonlinearities. We provide new reconstructions of absolute surface temperature, condensation temperature, and source-region evaporation temperature for all long Antarctic ice-core records for which the necessary data are available. We also provide thorough uncertainty estimates on all temperature histories. Our reconstructions constrain the pattern and magnitude of polar amplification in the past and reveal asymmetries in the temperature histories of East and West Antarctica.

Highlights

  • Stable-isotope ratios of water have been the foundational proxy of polar paleoclimate research for more than a half-century (Langway, 1958; Gonfiantini, 1959; Dansgaard, 1964)

  • We describe the construction of the Simple Water Isotope Model (SWIM) in detail in the Appendix

  • Nonlinear temperature reconstruction technique for eight different ice core sites, we investigate the patterns of Southern Hemisphere temperature change through time

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Summary

Introduction

Stable-isotope ratios of water have been the foundational proxy of polar paleoclimate research for more than a half-century (Langway, 1958; Gonfiantini, 1959; Dansgaard, 1964). Used as a temperature proxy, stratigraphic records of waterisotope ratios in ice sheets provide detailed histories of Earth’s climate over hundreds of thousands of years (Dansgaard et al, 15 1969; Petit et al, 1999), providing insight into the past magnitudes, spatial patterns, and phasing of climate change across the globe (Masson-Delmotte et al, 2006; Barbante et al, 2006; WAIS Divide Project Members et al, 2013, 2015). Both oxygen and hydrogen have stable isotopes whose ratios (18O/16O and 2H/1H) are commonly expressed as deviations, δ18O and δD, from Vienna Standard Mean Ocean Water (VSMOW):. We examine the widely-used assumption of linearity in the scaling relationships between water-isotope ratios and temperature

Temperature reconstructions
Nonlinearities in isotope fractionation and the deuterium excess definition
Reconstruction method
Linear temperature reconstruction using SWIM
Discussion
Conclusions
Transport
Isotope fractionation
Evaporation from the ocean
Distillation
Supersaturation
Moisture source distributions
Condensation site conditions
Seasonality
Tuning the Simple Water-Isotope Model
Air Parcel Mixing within SWIM
Optimal coordinates for reconstruction technique
Correlation of nonlinear and linear reconstruction techniques
Temperature reconstruction uncertainty
Sensitivity to model parameters
Influence of mixing on temperature reconstruction
Findings
Uniqueness and source temperature
A10 Three-parameter reconstructions

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