Peter's research aims to improve Met Office analyses through improved use of satellite sounding data.
Peter is currently working on a project to understand and model observation error correlations. He is concentrating on data from hyper-spectral infrared instruments such as Atmospheric Infrared Sounder (AIRS) and Infrared Atmospheric Sounding Interferometer (IASI). Currently we assume that inter-channel error correlations do not exist due to the additional computation required to include them. Peter is working to understand and implement the most efficient way of including these correlations in the assimilation process.
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.
Last updated: 8 April 2014