Clair originally studied English literature at UCL before realising that statistics was far more fun. She studied mathematics and statistics part-time at the Open University before obtaining an MSc in statistics at Warwick, and joined UCL's department of statistical science as a PhD candidate in 2016, studying statistical methods for postprocessing weather forecasts. She is now a postdoctoral researcher, evaluating and comparing ensembles of projections of future climate over the UK.
Bayesian statistics, uncertainty quantification, environmental statistics, climate & meteorology
Barnes, C., Brierley, C. M., & Chandler, R. E. (2019). New approaches to postprocessing of multi‐model ensemble forecasts. Quarterly Journal of the Royal Meteorological Society, 145(725), 3479-3498.
Jewson, S., Barnes, C., Cusack, S., & Bellone, E. (2020). Adjusting catastrophe model ensembles using importance sampling, with application to damage estimation for varying levels of hurricane activity. Meteorological Applications, 27(1), e1839.
Barnes, C., & Kendall, W. S. (2017). Perches, Post-holes and Grids. arXiv preprint arXiv:1704.07342.