SS88 AIMS 2016 Meeting, Orlando, Florida, USA

Title:  Data assimilation and nonlinear filtering
Name: Affiliation: Country: Email Address:
Kody Law
Oak Ridge National Laboratory
David Kelly
Filtering describes the solution of a sequence inverse problems, in which the data arrives in an online fashion. The subject of filtering has enjoyed a long standing symbiosis between classical and probabilistic approaches. Data assimilation can be viewed as a bridge between these approaches, built out of the necessity to obtain solutions to the filtering problem quickly for very high dimensional, turbulent, nonlinear forecast models, with notable applications in atmospheric and oceanographic science. This mini-symposium aims to bring together experts interested in nonlinear filtering, data assimilation and applications, to share their latest research.