Bayesian Reconstruction of Cenozoic Deep-sea Temperature, Ice Volume, and Milankovitch-scale Sea-level Variability: Enhancing Pacific Estimates of Benthic Foraminiferal δ¹⁸O Using Gaussian Process Priors and the Global CENOGRID Database
Citation: Schmelz, W. J., Miller, K. G., Kopp, R. E., and Wright, J. D., 2026. Bayesian Reconstruction of Cenozoic Deep-sea Temperature, Ice Volume, and Milankovitch-scale Sea-level Variability: Enhancing Pacific Estimates of Benthic Foraminiferal δ¹⁸O Using Gaussian Process Priors and the Global CENOGRID Database. GSA Connects 2026, Denver, Colorado, USA, 11–14 October 2026, abstract 270-4.