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Abstract:
Modern geodetic observations of the Earth's shape, external gravity field, and orientation in space reflect temporal variations of those quantities that are caused by a wide range of dynamics acting at the surface of our planet as well as deep within the Earth's interior. Global numerical models of those processes which initially are independent from geodetic observations are critically important for the utilization of geodetic data in the other branches of physical Earth sciences.
By means of dedicated examples from the Earth System Modelling group at GFZ, we show how (i) a priori information about global ocean tides including minor tides reduces temporal aliasing artefacts; (ii) machine learning techniques guided by land-surface model output can help to downscale coarse resolution satellite data; and (iii) the joint consideration of expertise from both solid Earth geophysics and large-scale hydrosphere dynamics can help to discriminate between gravity field changes induced by glacial isostatic adjustment and nearby terrestrial water storage changes.
We will also highlight various model-based data products specifically designed for geodetic applications that are routinely updated at GFZ and provided to the scientific community free of charge as a contribution to the international geodetic data infrastructure. Those data products include crustal deformations due to tidal and non-tidal surface loads; time-variations in gravity induced by mass redistributions in atmosphere and oceans; as well as effective angular momentum functions that characterize changes in the Earth's orientation.
