This project is a follow-on from the ERC grant GlobalMass (www.globalmass.eu) that has advanced the use of space-time statistical inference to separate global sea level rise into its different sources. We have developed a software package called 4DModeller (see https://4dmodeller.github.io/fdmr/) that is designed to tackle a wide range of spatial-temporal problems.
In this project, we want to apply 4DM to the global glacier mass balance data sets that are available from in-situ and satellite data. These data sets vary in their length of record, coverage and quality and 4DM is designed to deal with exactly this kind of problem.
The aim will be to combine the data sets to produce, for the first time, a consistent time series of glacier mass balance worldwide and to correlate this with the forcing climate that influences their behaviour. This will allow us to then predict their behaviour using climate forecasts from GCMs.
