Tom Hill
Tom works on the linear and adjoint forecast models for global NWP in our next-generation data assimilation system. He is based in the MetOffice@Reading centre at the Department of Meteorology, University of Reading.
Areas of expertise
- Variational data assimilation
- Tangent linear and adjoint forecast models
- Joint Effort for Data assimilation Integration (JEDI) software
Email: [email protected]
Current activities
Tom's time is divided between JADA, the JEDI Application for Data Assimilation, and a PhD under the AFESP (Advancing the Frontiers of Earth System Prediction) programme at the University of Reading. Within JADA, he is the primary developer of the ensemble-based component of the hybrid tangent linear model (TLM) and its adjoint, which are crucial elements of the 4D-Var algorithm to be used for global NWP in the Met Office's next-generation data assimilation system. He also works on the coded component of the hybrid TLM and adjoint within the LFRic atmospheric model. Tom's PhD will involve research into coupling the data assimilation systems of the atmosphere and ocean by more fully representing the physical relationship between the two fluids when assimilating observations which are a function of the state of both.
Career background
Before working at the Met Office, Tom obtained an integrated master's degree in Earth Sciences at the University of Oxford, accredited by the Geological Society of London. His master's research was on the projection and effects of climate-change-induced freshwater redistribution on Arctic and subpolar North Atlantic water column stability in a variety of CMIP6 experiments. He also completed a field- and lab-based NERC ARIES Research Experience Placement in coastal oceanography at the University of Plymouth.