Dr Tom Dunstan
Tom works on improving wind resource estimation from NWP model output.
Tom is a scientist in the The Atmospheric Boundary Layer group working to improve the prediction of low level winds using NWP output.
Accurate estimates of the available wind energy at a location are of critical importance to the wind energy sector. Raw output from NWP models cannot be used directly for this purpose, but requires downscaling to take into account the effects of local surface complexity such as hills and vegetation. Working closely with the Renewables applications team, Tom's work aims to identify the sources of uncertainty in currently used downscaling techniques such as the "Intelligent" Virtual Met Mast™ and Virtual Met Mast Plus™ and high-resolution nested configurations of the Unified Model.
Current areas of interest include:
- the use of machine learning and advanced analytical techniques for feature identification and error correction of NWP output.
- high-resolution idealised configurations of the Unified Model to understand the physical mechanisms leading to biases in the prediction of low level winds.
Tom has been a member of the The Atmospheric Boundary Layer group within Atmospheric Processes and Parametrizations since joining the Met Office in 2012. Before joining the Met Office Tom completed a PhD at Cranfield University investigating turbulent combustion modelling using high-resolution direct numerical simulations, and continued this work for four years as a postdoc at Cambridge University.