Generative Modelling of Stochastic Rotating Shallow Water Noise

arXiv:2403.10578v1 Announce Type: cross
Abstract: In recent work, the authors have developed a generic methodology for calibrating the noise in fluid dynamics stochastic partial differential equations where the stochasticity was introduced to parametrize subgrid-scale processes. The stochastic parameterization of sub-grid scale processes is required in the estimation of uncertainty in weather and climate predictions, to represent systematic model errors arising from subgrid-scale fluctuations. The previous methodology used a principal component analysis (PCA) technique based on the ansatz that the increments …

abstract arxiv authors cs.lg cs.na differential dynamics fluid dynamics generative grid math.ds math.na methodology modelling noise physics.flu-dyn processes scale stat.ml stochastic type uncertainty water weather work