Predicting Uncertainty in Geometric Fluid Mechanics
arXiv:1806.10470
Abstract
We review opportunities for stochastic geometric mechanics to incorporate observed data into variational principles, in order to derive data-driven nonlinear dynamical models of effects on the variability of computationally resolvable scales of fluid motion, due to unresolvable, small, rapid scales of fluid motion.
arXiv admin note: text overlap with arXiv:1802.05711