Dr Cyril Morcrette

Due to my French roots, my first name is pronounced "si-RILL" not "SI-roll". Like "cyrillic" but without the "ic". You can hear it here.

I am a senior lecturer in the Department of Mathematics and Statistics. I work on Streatham Campus one day a week, where I am a member of the Global Systems Institute (GSI) and Institute for Data Science and Artificial Intelligence (IDSAI).

The rest of the week, I work at the Met Office, also in Exeter. I am part of the Atmospheric Processes and Parametrizations team (APP). We develop the parametrization schemes used in the Unified Model and LFric, which the Met Office uses to model weather and climate. Specifically, I am interested in using machine learning to emulate parametrization schemes, making existing schemes cheaper and making too-expensive schemes affordable. I am also keen to explore emulation as a route towards stochastic physics, all as a way of improving the spread in our ensemble forecasts.

I am also interested in using atmospheric models and observations as a source of data from which to learn better ways of representing physical processes that occur on scales smaller than the model grid-boxes but which are key to realistic weather and climate simulations.

Previously, I worked on cloud-cover parametrizations, and I have an interest in aviation icing, and forecasting surface short-wave radiation for solar panel productivity forecasts.

Before that, I did an MPhys at Warwick University, a PhD in atmospheric sciences at the Meteorology Department at Reading University (slantwise convection and conditional symmetric instability) and a 3-year post-doc also at Reading studying the initiation of summer-time convection in the British Isles.