Abstract. We present a Bayesian inference for three-dimensional hydrodynamic model of Lake Geneva with stochastic weather forcing and high-frequency observational datasets. This is achieved by coupling package, SPUX, hydrodynamics MITgcm, into single framework, SPUX-MITgcm. To mitigate uncertainty in the atmospheric forcing, we use smoothed particle Markov chain Monte Carlo method, where interm...

We develop a new simulation method of colloidal suspensions, which we call a "fluid particle dynamics" (FPD) method. This FPD method, which treats a colloid as a fluid particle, removes the difficulties stemming from a solid-fluid boundary condition in the treatment of hydrodynamic interactions between the particles. The importance of interparticle hydrodynamic interactions in the aggregation p...

A general method for fluid solid interaction problem simulations has been developed in 3D algorithm using incompressible smoothed particle hydrodynamics (SPH) method. The solid is assumed to be rigid so it can be considered as moving boundaries for fluid. Using repulsive force has been proved to be an efficient boundary treatment for incompressible SPH method before with 2D examples. The advant...

Smoothed particle hydrodynamics is a completely mesh-free method to simulate fluid flow. Rather than representing the physical variables on a fixed grid, the fluid is represented by freely moving interpolation centers (”particles”). Apart from their position and velocity these particles carry information about the physical quantities of the considered fluid, such as temperature, composition, ch...