Why and How Should Models and Data Work Together Well?
Tuesday, April 19, 2016
12:00 pm - 1:00 pm
Gross Hall 330
Chritopher Jones, Ph.D.
Abstract:In most environmental situations there are considerable data coming from observations. But there is often a mathematical model that captures the key features based on underlying physical laws. This, in turn, can generate a profusion of data from the computational output of running the model. Data assimilation is the mathematical subject that aims to optimize the information coming from these two distinct sources. As models grow ever larger, however, the mathematical techniques are challenged by the so-called "curse of dimensionality." I will discuss the underlying objectives and methodology of data assimilation in the context of the specific problem in ocean dynamics of optimizing the use of data from instruments that "go with the flow," such as gliders and ARGO floats.