Title: Relevance of dynamical system properties in data assimilation

Abstract

Data assimilation is widely used in different fields such as weather prediction, subsurface flow reconstruction. Data assimilation is a process of estimating the state of a dynamical system by combining observational data with an a priori estimate of the state (often from a numerical approximation of the dynamical system). In this talk I will address the importance of dynamical system properties such as conserved quantities, constraints and properties of the error for data assimilation.

Location: KdVI meeting room, Science Park 107, room F3.20