“The State of the Ocean”, a lecture series.
An estimate of the state of the ocean, a deep dive into the Bayesian decision theory, and how enables us to fuse available data with prior knowledge, are some of the topics covered by this lecture series led by UCLA college scholar Michael Rescorla .
This is a three-session lecture organized by the EELISA Community “Protecting European Waters”
Lecture 1: Ocean state estimation (2 hours). – June 2, 2022
Estimating the state of the ocean is vital for numerous scientific and commercial purposes. The ocean state estimation problem is quite difficult for several reasons, including the enormous dimensionality of the state space along with the relative paucity of data. I highlight some key challenges posed by the estimation problem and analyze how it pervasively impacts our dealings with the ocean.
Lecture 2: Bayes and the Ocean: Foundations (2 hours) – June 9, 2022
Bayesian decision theory, a mathematical framework for modeling reasoning and decision-making under uncertain conditions, is widely used to tackle the ocean state estimation problem. I elucidate foundational aspects of the Bayesian approach. I then argue for its normative and practical superiority to rival frameworks.
Lecture 3: Bayes and the Ocean: Applications (2 hours) – June 16, 2022
I survey how contemporary oceanography uses Bayesian decision theory to estimate the ocean state. I focus on the ensemble Kalman filter as an exemplary application of the Bayesian framework. I discuss how the Bayesian framework enables us to fuse available data with prior knowledge (e.g. prior knowledge of ocean dynamics). I argue that the Bayesian framework underwrites empirically and pragmatically fruitful probabilistic representations of the ocean.
June 2, 9 and 16, 2022 @15:30 PM – 17:30 PM (CETS, UTC+2)
Masters and Ph.D. students, Academics, Researchers, educators