Dr Matt Martin
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 Ocean models at the Met Office ocean modelling framework, called Ocean models at the Met Office. 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, and with which to perform ocean reanalyses.
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. This work is also contributing to the ERA-CLIM2 project, led by ECMWF, aimed at developing and producing coupled reanalyses in which Matt is leading the work package to develop future coupled reanalyses.
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 also led the development of the OSTIA SST and sea-ice analysis system and chaired the GHRSST Inter-Comparison Technical Advisory Group until 2012.
Matt is a member of the GODAE OceanView Science Team and is the co-chair of its Short- to Medium-Range Coupled Prediction Task Team. This involves contributing to the coordination of international efforts to develop coupled ocean/atmosphere/sea-ice systems for shorter time-range predictions.