EN Data assimilation combines the state of a model with incoming data by solving an inverse problem to balance the uncertainty between them. Data assimilation is used in applications from computer vision and remote sensing to weather forecasting. Physical models are formulated as partial differential equations, which have solutions in spaces of functions. Their discretization leads to high-dimensional problems, and uncertainty can be modeled by stochastic ensembles of simulations. The lecture…