In this module, students will learn how to process, invert, and combine data, including those of different spatial/temporal
resolutions. Moreover, they will learn how a proper data weighting can be implemented in order to optimize results of data
combination. Using data provided by satellite altimetry and satellite gravimetry missions as an example, students will be able to
produce state-of-the-art estimates of large-scale mass change in various Earth system compartments, such as the melting of
glaciers and ice sheets, climate-driven variability in river basin water storage, and depletion of groundwater stocks.
Study Goals After completing this module, students will be able to:
1. Design a scheme for level-2 satellite gravimetry and satellite altimetry data processing,
taking into account data uncertainties
2. Design stand-alone and joint inversion schemes that take into account stochastic models
of data errors, as well as possible inconsistencies between datasets
3. Assimilate data into a simple numerical model and assess the added value of data
assimilation
4. Apply stand-alone and joint inversion schemes to quantify and separate processes at
different time scales in the context of cryosphere, ocean, or hydrology
5. Summarize and defend the findings of a conducted study of selected Earth system processes
