Matt leads the research and development of marine data assimilation systems in the Met Office.
Matt manages the marine data assimilation group which is part of Ocean Forecasting Research. The main aim of the group is to improve the performance of the marine component of the Met Office's analysis and prediction systems across all time-scales by improving their assimilation of observations.
The current focus of Matt's work is to lead the development of a variational ocean data assimilation scheme within the NEMO ocean modelling framework, called NEMOVAR. This scheme is developed in collaboration with ECMWF, CERFACS, INRIA and other groups. Its development will improve the assimilation of data into the ocean forecasting systems used in the Met Office in both the deep ocean and shelf-seas systems, providing more accurate estimates of the ocean state with which to initialise ocean and coupled forecasts.
Matt is also leading the development of a coupled ocean-atmosphere data assimilation system which will be used to initialise coupled forecasts as part of a seamless prediction system being implemented at the Met Office.
Matt has worked on ocean data assimilation since starting at the Met Office in 2000. Prior to joining the Met Office he completed a PhD in ocean data assimilation at the Department of Mathematics in the University of Reading. In 2008 Matt became manager of the team responsible for developing the Met Office's marine data assimilation systems.
Matt is a member of the GODAE OceanView Science Team and is the co-chair of its Inter-Comparison Task Team. This involves leading international efforts to inter-compare the output of operational ocean forecasting systems.
Matt is a member of the GHRSST Science Team and chairs the GHRSST Inter-Comparison Technical Advisory Group which is responsible for the coordination of all aspects of the inter-comparison experiments and real-time inter-comparison systems maintained by SST analysis producers.
Last updated: 31 May 2013