From the modeling point of view, given the nonuniqueness of small scales with respect to large scales and possible separation of scales between those explicitly modeled and those studied, stochastic approaches can provide more realistic representations of the multiscale variability and allow transitions between attractors. On the other hand, such approaches also allow for a quantification of uncertainties that are inherent in the modeling of these multiscale systems. It is important to note that such quantification of uncertainty is directly linked to the ability to compare models and observations, and combine them as in data assimilation techniques.
We invite contributions spanning fundamental studies of stochastic approaches, stochastic modelling of geophysical systems, stochastic parameterisations, data assimilation using stochastic methods and extreme value studies using a stochastic framework