The goal of this workshop is to bring together experts on data assimilation, Bayesian statistics, seismology, and (paleo-)climatology to exchange knowledge, suggest new data-assimilation methods suitable for applications in each field, and to stimulate future collaborations.
Data assimilation is a well-established methodology in meteorology to estimate the complex behaviour of a dynamical system using available data. Seismology and climatology share the same goal as meteorology though the mathematical methods differ depending on each field due to limited data, models, and computing power. With improvement of models and wider availability of data the traditional distinction between these fields is, however, blurring. Moreover, current increase of computing power allows to quantify the uncertainty of an estimate using Bayesian statistics, which serves as a unifying framework for data assimilation in all fields.