Progress (April 2018)
The main achievement so far has been the creation of a global GPS dataset that provides a ‘clean’ signal of(GIA) and is, therefore, suitable to investigate the behaviour of global GIA forward models. We have developed a fully-automatic strategy to post-process GPS time series and to correct for non-GIA artefacts. The output is a dataset of ~4000 GPS vertical velocities as an observational estimate of global GIA uplift rates. The dataset will subsequently be used to improve existing global forward model solutions within our BHM framework through identification of statistically significant deviations between the observations and the models.