The overarching goal of the project is to produce simultaneous, global, consistent, statistically rigorous estimates of i) glacio-isostatic adjustment (GIA), ii) land ice mass trends, iii) land hydrology trends and iv) sea level budget for a common epoch.
These estimates will be data-driven (as opposed to deterministically modelled). They will, for the first time, be consistent with each other and the physical constraints on the coupled system.
To this end, the key research aims are to:
1. Combine a suite of satellite, climate model, and in-situ data to solve for the mass evolution of global land ice from 1990s-present and, in some cases, further back in time.
2. Solve for GIA without the use of forward models that rely on ice history and an Earth model.
3. Solve for the global exchange of mass between land and ocean for multiple decades.
4. Develop and showcase a new approach to tackling signal processing in geostatistics
Six main objectives have been identified as important steps in addressing these aims, but each objective represents a major scientific achievement and advance in its own right:
Objective 1: Development of the methodology and software to undertake multivariate spatio-temporal modelling at a global scale.
Objective 2: Obtain a data-driven solution for global GIA, consistent with global mean sea level, gravity data, sea level budget and GPS observations.
Objective 3: Reconciled sea level budget assessment for 1981-2020.
Objective 4: Spatially distributed land ice 1992-2020 consistent with in-situ and satellite-based observations and the barystatic contribution to global mean sea level.
Objective 5: Re-evaluation of the twentieth century sea level rate from the tide gauge record.
Objective 6: Catchment-scale land hydrology trends for 2003-2020; spatially-integrated signal for pre- period.