KO-12   Thursday July 11 - 08:45

MS28 Part 2 of 2 - Data Assimilation and Inverse Modelling

MS28 Part 1 of 2

These days abundant data is being gathered all over the world, ranging from tree rings to satellite images. It is becoming increasingly important to use this data in a smart way in order to stay competitive as we enter the era of data. This may involve inversion or assimilation of data into a complex model, derived from physical laws, in order to decrease model uncertainties. This mini-symposium aims to explore recent novel applications of methodology and algorithms for data assimilation and inference.

Kody Law
Svetlana Dubinkina

08:45 - 09:15 - Lassi Roininen - Hyperparametric Random Fields, Deformations and Heavy-tailed Distributions with Applications in Bayesian Inversion [Abstract]

09:15 - 09:45 - Amos Lawless - The conditioning of variational data assimilation with correlated observation errors [Abstract]

09:45 - 10:15 - Svetlana Dubinkina - Bayesian approach to elliptic inverse problems [Abstract]

10:15 - 10:45 - Ricardo Baptista - High-dimensional Bayesian filtering with nonlinear local couplings [Abstract]