Keith leads research to evaluate and understand, from a process-based perspective, the cause of errors in the global Met Office Unified Model
Keith is the scientific manager of the Model Evaluation and Diagnostics team. The work of this team is focused on evaluating the global Unified Model on time and space scales appropriate to the processes being assessed, identifying processes which are not being simulated correctly, and working with others to address these deficiencies in order to improve our predictions across all time scales. A key aspect of the work is developing novel diagnostic techniques to assess the model against a variety of observational data (satellite data, intense observing sites, re-analyses, etc.).
Keith's personal research is in evaluating cloud processes across timescales. This involves detailed comparison of the model against active and passive satellite data (using satellite simulators in the model to emulate the characteristics of the space-borne instruments), combined with surface-based cloud observations. A variety of diagnostic techniques (initial tendencies, nudging, sensitivity experiments, etc.) are employed to help identify the source of any errors.
Keith obtained his degree in physics and meteorology, and his PhD, from the University of Reading. Upon joining the Met Office in 1998, Keith focused on understanding processes leading to a spread in climate sensitivity between climate models. Most of this work involved understanding the spread in cloud response to climate change between models, and determining confidence in their response through evaluation of relevant processes in the current climate.
In 2008, Keith became the manager of the Seamless Model Assessment team which began the work of drawing together model assessment techniques from the weather and climate communities. Following a re-structuring of the Met Office science areas in 2010 to promote more seamless working, Keith began leading the newly formed Model Evaluation and Diagnostics team.
Last updated: 4 January 2016