  In this work we set the stage for a new probabilistic pathwise approach to
effectively calibrate a general class of stochastic nonlinear fluid dynamics
models. We focus on a 2D Euler SALT equation, showing that the driving
stochastic parameter can be calibrated in an optimal way to match a set of
given data. Moreover, we show that this model is robust with respect to the
stochastic parameters.
