The deep latent space particle filter for real-time data assimilation with uncertainty quantification
Abstract In data assimilation, observations are fused with simulations to obtain an accurate estimate of the state and parameters for a given physical system.Combining data with a model, however, while accurately estimating Mast Cover uncertainty, is computationally expensive and infeasible to run in real-time for complex systems.Here, we present a