Shaw, James Well-balanced stochastic Galerkin shallow flow model with uncertain topography <div>Stochastic Galerkin methods can quantify uncertainty at a fraction of the computational cost of simple Monte Carlo methods, but these methods have rarely been applied to shallow water models with uncertain terrain and uncertain friction source terms.</div><div><br></div><div>In this talk, I outline the pseudo-intrusive approach to formulate a stochastic Galerkin shallow water model, and discuss the impact on robust properties, accuracy and computational savings over simple Monte Carlo.</div> Shallow Water Equations;stochastic Galerkin;Wavelets;Numerical Solution of Differential and Integral Equations 2019-06-24
    https://figshare.com/articles/presentation/Well-balanced_stochastic_Galerkin_shallow_flow_model_with_uncertain_topography/8313239
10.6084/m9.figshare.8313239.v1