Peter's research aims to improve Met Office analyses through improved use of satellite sounding data.
Peter works on improving the use of hyper-spectral infrared instruments such as the Infrared Atmospheric Sounding Interferometer (IASI), the Cross-track Infrared Sounder (CrIS) and Atmospheric Infrared Sounder (AIRS) . Peter is working on a project to account for inter-channel error correlations. He has implemented the use of correlated observation errors for IASI in the Unified Model which resulted in a significant improvement to both analysis and forecast accuracy. He is currently working on extending this treatment of error correlations to the AIRS and CrIS instruments. He is also working on the introduction of the use of IASI, AIRS and CrIS data into the The UKV model - Kilometre-scale forecasting over the UK with the Unified Model which is a high resolution convective scale model centred over the UK.
Peter has been working in the Satellite Radiance Assimilation group since August 2010. Before this he completed a summer placement in the Data Assimilation R&D group at the Met Office between June and September 2009. His project was based on investigating various different calculation methods for the background error covariance matrix, which is used to help produce accurate initial conditions for forecast runs.
Prior to joining the Met Office he studied Mathematics at Oxford University, completing his MMath in June 2009, with his main area of interest in applied mathematics.