Prof Adam Scaife
Telephone: 01392 722251
Extension: (Streatham) 2251
Adam carries out research on climate variability and climate prediction at the University and collaborates with other climate scientists worldwide. His main interests are in long range forecasting, mechanisms of climate variability and simulation of climate using physically based climate models. Adam has made significant advances in seasonal and decadal forecasting with his research group.
Adam joined the university as Honorary Professor in 2014 and then Professor in 2017. He is also head of long range prediction at the Met Office and has over 25 years experience in climate modelling. His recent work demonstrates exciting levels of skill in long range predictions of the North Atlantic Oscillation and hence UK and European winter weather. Adam's work has also helped to clarify what caused changes in European climate from the cold blocked winters in the 1960s to the mild wet winters of the 1990s, the remote effects of El Niño, the stratosphere, solar variability and the global effects of year to year changes in tropical rainfall.
Previously Adam worked on improving computer models of Earth's climate. He simulated realistic Quasi-Biennial Oscillations in a climate model for the first time using parameterised gravity waves and his work has reduced some of the major errors in climate model simulations of the atmosphere - for example, errors in atmospheric 'blocking'. He also demonstrated with a colleague that the Brewer-Dobson circulation and the associated mass transfer across the tropopause is expected to increase under climate change.
Adam was recently awarded the American Geophysical Union's ASCENT award for scientific research and leadeship, the Lloyd's of London Science of Risk Prize for his climate change research and the L.G. Groves Memorial Prize for Meteorology. Adam co-chairs the World Climate Research Programme’s Grand Challenge on Near Term Climate Prediction and is a Fellow of the Institute of Physics and the Royal Meteorological Society.