Modelling extreme melt events on Greenland (MEMoG)
Funded by the SECURE network
PI: Amber Leeson, Co-Is: Emma Eastoe and Xavier Fettweis
Extreme melt events, for example during the summer of 2012, constitute a positive feedback contributing to ice loss and sea level rise and are poorly provided for in geophysical models used to forecast future ice sheet change (see right: the climate model 'misses' melting in half of the years shown here). In this project, we will use advanced statistical techniques drawn from extreme value theory together with observations and regional climate model output, in order to improve our understanding of the past distribution of extreme melt events on Greenland and update our future predictions of associated ice loss.