DAFNSDA 2013 - Special Session on Data Assimilation: Fusion of Numerical Simulations and Data Analyses

"Data Assimilation" (DA) is a fundamental technique to combine numerical simulations and observational/experimental data through a Bayesian estimation on simulation model parameters and time-dependent status behind target systems. DA was originally developed in geophysical areas, especially in meteorology and oceanology, and is nowadays applied in wide variety of fields such as space, life and industrial sciences. Our eventual goal is to establish DA methodology, which is capable of generating next-generation simulation models that can predict future statuses. Despite DA nowadays being applied in wide areas of science, opportunities to discuss and exchange information about DA are only limited in each specific community. This special session provides a forum to DA researchers of both natural science and engineering. Dissemination to attendees unfamiliar with DA and seeking new areas within which DA is applicable are also objectives of the proposed special session.