Machine Learning in Fluid Dynamics and Climate Physics

Explore the intersection of machine learning, fluid dynamics, and climate physics in this hour-long lecture from the Alan Turing Institute. Discover how researchers have been utilizing machine learning techniques in fluid dynamics since the 1990s, leading to significant advancements in modeling and simulation. Learn about the integration of real and simulated data with physics-informed machine learning in climate modeling. Gain insights into how extensive experience in benchmarking and validating fluid dynamics simulations can inform climate modeling and other scientific fields.

Nature Reviews Physics: Machine learning in fluid dynamics and climate physics