KO-12   Wednesday July 10 - 08:45

MS28 Part 1 of 2 - Data Assimilation and Inverse Modelling

MS28 Part 2 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 - Daniel Sanz-Alonso - Data-Driven Forward Surrogates for Bayesian Inversion [Abstract]

09:15 - 09:45 - Michal Branicki - Accuracy of some approximate Gaussian filters for dissipative PDEs with spatially sparse nodal observations [Abstract]

09:45 - 10:15 - Konstantinos Zygalakis - Explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems [Abstract]

10:15 - 10:45 - Alfredo Garbuno IƱigo - Calibration Techniques for Uncertainty Quantification in Inverse Problems [Abstract]