Jonas Šukys

Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects

Model reduction for nonlinear dynamical systems using deep convolutional autoencoders.

A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1

Multi-level Monte Carlo finite volume methods for nonlinear systems of conservation laws in multi-dimensions