Advancing Predictions of Ocean Mixing

Small-scale ocean mixing must be understood and represented accurately in climate models. This workshop joins mathematicians, numerical modellers, laboratory researchers, observational oceanographers and machine-learning specialists to connect mixing mechanisms with predictive parameterizations. Participants will compare theory, experiments and increasingly detailed observations, assess computational and learning approaches, and identify ways to transfer advances between disciplines. Early-career researchers will gain a broad view of the methods and collaborations needed to link mathematical descriptions to ocean behaviour.