Chris leads research work to use integrated coupled model systems to improve real-time forecasts both globally and for the UK.
Chris is the scientific manager of the Short Range Coupled Forecast Development Group (Coupled Development) who have responsibility for the development of coupled modelling systems to be used in short range forecasting for both atmosphere and ocean. He is responsible for the provision of global ocean forecasts from a coupled system (currently the GloSea5 seasonal forecast system) via the MyOcean portal and leading the work to identify, understand and address any deficiencies in these forecasts. Research is now in progress in Chris' team to develop a higher resolution coupled model configuration and also to assess the benefits of including a wave model as part of such a coupled system.
Chris coordinates a sub work-package on forecasting using coupled models as part of the research and development work funded by MyOcean and is also the scientific lead for the atmosphere-ocean feedbacks work-package in the UK Environmental Prediction project (UK Environmental Prediction).
Chris has been involved in coupled model development since starting work at the Met Office in 2004. Since then, he has worked on a variety of aspects of ocean and coupled climate model development and assessment, initially with the HadGEM1 model and subsequently for HadGEM3. He has studied the simulation of the Antarctic Circumpolar Current in Met Office climate models, and worked to improve the numerical implementation of isopycnal diffusion in the NEMO ocean model. He was instrumental in setting up the 'GC2' global coupled scientific configuration of HadGEM3 before moving to his current role in September 2013.
Prior to joining the Met Office, Chris completed a PhD in theoretical particle physics at the Department of Physics in the University of Cambridge, where he had also received his undergraduate degrees in Natural Sciences (Physics). His doctorate involved simulating the production and detection of miniature black holes at CERN's Large Hadron Collider.
Last updated: 30 March 2016