Characterizing the model error

A way of characterizing the model error is to draw randomly an ensemble of values for a parameter that is a potential source of error, and perform the corresponding ensemble of model simulations (Monte Carlo method). For instance, the figure shows an ensemble of temperature profiles simulated by a 1D mixed layer model, and resulting from an ensemble of perturbations of the wind forcing. (The model without perturbation is in red.)