Responsible KEG Investigator:
Dr Dan Cornford
Project Collaborator(s):
- Met Office
- University of Southampton
- Surrey University
|
Type of Project: Standard Grant
Funder: EPSRC
Date Commissioned: 03/2006
Date Completed:
02/2010
|
Project SummaryThis project will define the
next generation of data assimilation methods and enable us to also make
inference about hyper-parameters in the stochastic forcing that is used to
represent model error. The project revolves around the variational treatment of
stochstic differential equations and their approximate solution using a class of
stochastic processes known as Gaussian processes. The project invloves 3
universities, led by Aston and includes the Met Office as a partner.
Project web page