“An Introduction to the Mathematics of Data Assimilation”
Guest speaker Dr. Sam Pimentel, Faculty of Natural and Applied Sciences, Department of Mathematics (TWU).
Wednesday, November 18
Room A 402
4:30 pm
Refreshments will be provided.
“Data assimilation refers to a group of methods that seek to improve forecast skill by combining available observations with a dynamical model. Data assimilation algorithms merge measurement data into a computational model with the aim of reducing uncertainties in the model predictions or to adjust model parameters. The desired result is an improved estimate of the state of a system that takes account of measurement error and partial observational coverage as well as the inadequacies of the numerical model. In this talk I will introduce the theory and present some simple demonstrations. Applications of data assimilation are widespread including weather forecasting and engineering.”- Dr. Sam Pimentel