Predicting the behavior of the Earth ’s climate in the face of unprecedented man-made disruptions is becoming essential to the survival of civilization. The study of past climates is one of very few ways to validate the models being used for these predictions, but paleoclimate observations present many challenges: they are sparse, noisy, irregularly sampled, time-uncertain, and generally archived in ways that prevent machines from making any sense of them without human aid. In this talk I will describe some these challenges, as well as some of the work my collaborators and I have done to standardize, access and analyze these unique archives of Earth’s past behavior, and how this is helping constrain the dynamics of Earth’s climate, and its models.
Julien Emile-Geay is a climate dynamicist and paleoclimate data scientist working as a professor in the Earth Science department at the University of Southern California. He holds a B.S. and M.S from the Ecole Normale Supérieure in Paris, France and a PhD from Columbia University. Using deterministic and probabilistic models, he creates mathematical representations of the climate system to shed light on its long-term behavior.
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