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Water isotopologues as a quantitative paleosalinity proxy

机译：以水同位素为定量的古盐度替代物

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摘要

Paleosalinity reconstructions are a goal of paleoceanographic study because of their potential to provide insight into past ocean circulation. While temperature reconstructions have been assessed by using multiple independent proxies, the skill of existing salinity reconstructions remains poorly quantified. We examine the applicability of two different approaches using a set of coupled water isotope-enabled general circulation model experiments as a numerical analog for the real climate system. These simulations for the Holocene, at roughly 1000 year time steps, explicitly track variability in both the water isotopologues and salinity. Our simulations suggest that quantitative reconstructions of past salinity variability based solely on inferred δ~(18)O_(sw) variability have very large errors and uncertainties. However, we find that paired δ~(18)O_(sw) and δD variability (from combining biomarker and calcite proxies) holds promise for providing better quantitative estimates of salinity variability.
机译：古生物学重建是古海洋学研究的目标，因为它们有潜力提供对过去海洋环流的洞察力。尽管温度重建已通过使用多个独立的代理进行了评估，但现有盐度重建的技能仍难以量化。我们使用一套结合水同位素的一般循环模型实验作为真实气候系统的数值模拟，研究了两种不同方法的适用性。这些全新世的模拟大约以1000年为一个时间步长，明确追踪了水同位素和盐度的变化。我们的模拟表明，仅根据推断的δ〜（18）O_（sw）变异性对过去盐度变异性进行定量重建具有很大的误差和不确定性。然而，我们发现成对的δ〜（18）O_（sw）和δD变异性（结合了生物标记物和方解石代理物）有望提供更好的盐度变异性定量估计。

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