Dr Gordon Inverarity
Gordon leads a team developing data assimilation techniques to meet present and future customer requirements.
Areas of expertise
- Variational data assimilation
- Kalman filters
The Data Assimilation Methods team is currently contributing to
- developing an improved ensemble initialisation technique for global data assimilation ;
- investigating the benefits of more-frequent cycling of global data assimilation;
- improving the representation of forecast errors in our data assimilation system.
Gordon's personal research contributes to methods for improving the assimilation of observational data into the global and UKV configurations of the Unified Model to further improve forecast accuracy by
- enhancing the CVT forecast-error covariance calibration software;
- studying alternative representations of forecast-error covariances for regional data assimilation.
Following a degree in applied mathematics and a doctorate in MHD turbulence in solar and laboratory plasmas, Gordon stayed at the University of St Andrews for another eighteen months studying MHD reconnection as a postdoctoral researcher in the solar theory group . On joining the Met Office in 1996, his initial work in the Meteorological Research Flight (now part of Observation Based Research) focused on processing data from the research aircraft's inertial and satellite navigation systems, wind measuring system and temperature probes. His next post in the Orographic Processes group involved studying the theory of inertia-gravity waves. Gordon moved to Data Assimilation and Ensembles in 2003, becoming a manager in 2014.
Gordon is a Fellow of the Royal Meteorological Society and received its Quarterly Journal editors' review award in 2006.