A Royal Statistical Society meeting on NON-LINEAR, NON-GAUSSIAN ASPECTS OF DATA ASSIMILATION organised by the Environmental Statistics Section in association with the Data Assimilation Interest Group of the Royal Meteorological Society All welcome! Date: 2-5:30pm Thursday 10th April 2008 (refreshments available) Venue: Royal Statistical Society 12 Errol Street London, EC1Y 8LX Speakers: LENNY SMITH (LSE/Oxford) Non-statistical (nonlinear, nongaussian) real-world aspects of Data Assimilation DAN CORNFORD (Aston) Approximations in non-Gaussian DA variational Bayesian approaches and variational MCMC ANDREW STUART (Warwick) Mathematical foundations of data assimilation ANDREW LORENC (Met Office) Issues in DA for Numerical Weather Prediction - can we use Kalman Filter plus nonlinearities? ERIK ANDERSSEN (European Centre for Medium-range Weather Forecasts) Non-Gaussian observation errors and accounting for them in variational analysis Notes: Attendance is free but please register at http://www.rss.org.uk/main.asp?page=1321&event=539 Directions: <http://www.rss.org.uk/pdf/RSSMap.pdf> Further details: Please visit <http://www.jiscmail.ac.uk/files/envstat/> or contact the meeting organiser: Peter Challenor <[log in to unmask]>. -- Dr Christopher Ferro School of Engineering, NCAS Research Fellow Computing and Mathematics University of Exeter Tel. +44 (0)1392 26 3642 Harrison Building Fax. +44 (0)1392 26 4067 North Park Road Web. www.secam.ex.ac.uk/ Exeter, EX4 4QF [log in to unmask] United Kingdom Personal web page: www.secam.ex.ac.uk/people/staff/ferro