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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