UCL partners with the Met Office on weather and climate science

UCL has joined the Met Office Academic Partnership, with the University of Bristol, to work collaboratively on transforming data sciences to secure the UK's world-leading position in weather forecasting and climate prediction. The partnership aims to make the outputs of weather and climate models more meaningful by using innovative approaches, including machine learning, to accelerate and enhance fully realistic atmospheric models at a reduced cost. The Met Office Academic Partnership (MOAP) is a cluster of research excellence that brings together the Met Office and institutions who are among the leading UK Universities in weather and climate science through a formal collaboration to advance the science and skill of weather and climate prediction. UCL and the University of Bristol join the Universities of Exeter, Leeds, Oxford and Reading, which are existing MOAP partners. UCL's contribution, which spans a wide range of disciplines, including environmental sciences, planetary physics, mathematics and statistics, will be led by Joint Chair, Professor Serge Guillas (UCL Statistical Science). Based in the Faculty of Mathematical & Physical Sciences and the Alan Turing Institute, Professor Guillas is an environmental statistician and an expert in the science of uncertainties in complex computer models. Professor Serge Guillas, UCL Joint Chair, said: "I feel very privileged that an exceptional team of data scientists, machine learners, mathematicians and environmental scientists at UCL are enthusiastically collaborating with the Met Office.