CoAuthors

Chris Watson (Discipline of Geography and Spatial Sciences, University of Tasmania, Australia); Matt King (Discipline of Geography and Spatial Sciences, University of Tasmania, Australia); Benoit Legresy (CSIRO Marine and Atmospheric Research, Australia)

Vertical land motion (VLM) is important for a range of geophysical and climate applications. VLM is used to improve the understanding of solid Earth rheology as is relevant to models of Glacial Isostatic Adjustment or elastic deformation – it is also vital as the connection between relative and absolute estimates of sea level change. We develop a refined filter-based approach to quantify ongoing linear or non-linear land motions, such as those that result from surface mass changes (e.g., those that occur near to glaciers), through combination of data from multi-mission satellite altimeters, long-running tide gauges, and coastal GNSS stations. To this end, a space-time Kalman filter is designed to incorporate multi-mission crossover, altimeter minus gauge, and GNSS observations. This flexible approach allows estimation of linear or non-linear land motions, and considers mission-specific bias drifts. Initial results from testing in the Baltic Sea are present prior to showing results from a global analyses.