Dr Daniel Lea
is to develop a large scale error covariance model to enable NEMOVAR to get the most out of sparse historical data. There is also ongoing collaborative work with the University of Reading and the University of Bristol on the use of GOCE data in data assimilation. Career background Daniel has worked