AM Seminar: Linear Stochastic Emulators of the Ocean Circulation based on Balanced Truncation: A Caution, perhaps, for Machine Learning?
Presenter: Professor Andy Moore, UCSC Ocean Sciences Description: Linear inverse models have enjoyed considerable popularity in the geosciences, particularly in the arena of climate research and climate prediction, for several decades as a straightforward approach to dimension reduction and streamlining computational efficiency. The most common approach is to truncate the system by retaining the leading […]
