![]() ![]() Spanning SSTs from 0.0 to 29.5 ☌, our annual model with species pooled together has a mean standard error of approximately 0.54‰. We developed a suite of Bayesian regression models to calibrate the relationship between δ18Oc and SST. Here, we compile a global data set of over 2,600 marine sediment core top samples for five planktic species: Globigerinoides ruber, Trilobatus sacculifer, Globigerina bulloides, Neogloboquadrina incompta, and Neogloboquadrina pachyderma. However, in marine sedimentary applications, additional sources of uncertainty emerge, and these uncertainty constraints have not as of yet been included in global calibration models. The relationship between δ18Oc, temperature, and seawater oxygen isotopic composition ( δ18Ow) is firmly rooted in thermodynamics, and experimental constraints are commonly used for sea surface temperature (SST) reconstructions. The oxygen isotopic composition of planktic foraminiferal calcite ( δ18Oc) is one of the most prevalent proxies used in the paleoceanographic community. ![]()
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