Thomas is a scientist at the Met Office whose research is aimed at improving satellite data processing and interpretation capabilities and satellite products.
Thomas is developing simulated geostationary satellite images and products using Met Office NWP model output and a fast radiative transfer model, RTTOV-11.
Simulated satellite imagery is a way of interpreting NWP model output and presenting it as if it were a satellite image.
As simulated satellite imagery mimics real satellite imagery it allows a like-to-like comparison with the observed satellite imagery. The position of a particular feature in the simulated imagery in relation to the position in an observed image can give the forecasters confidence that the model is evolving the forecast at the correct speed or it may give evidence that the model is moving a feature too quickly or slowly.
Simulated imagery can allow scientists working on changes to the Met Office NWP models to assess the impact that their changes have on cloud and moisture fields by comparing simulated satellite images produced with and without the changes.
Research is ongoing to produce a verification score for simulated satellite images depending on their similarity to the observed images. An application for this would be to select which members of an ensemble forecast are doing better against observations.
Thomas has been a member of the Satellite Applications group since starting at the Met Office in 2005.
Previous research projects include:
Prior to joining the Met Office, Thomas received a BSc degree in Meteorology from the University of Reading.
Last updated: 8 April 2014