Manifestations of chaos: The rise, fall and revival of the Koopman operator
Modeling and data-driven analysis are two essential pillars of climate science. The complex and chaotic nature of the climate system defies straightforward predictions like those possible with linear physical systems. A comprehensive theoretical framework for complexity could provide the context and tools to fully describe it. Could a century-old mathematical tool hold the key? The revival of the Koopman operator offers a promising path to achieve a more complete theoretical understanding of the climate system.