Gilberto Goracci

Improving the Spatial Resolution of GRACE-Derived GFZ G3P Groundwater Storage Anomaly Product Through Unsupervised Deep Learning Downscaling

While groundwater is the second largest freshwater reservoir on Earth, it remains difficult to monitor, relying mainly on sparse and often unavailable well measurements. The GRACE/GRACE–FO missions enabled the estimation of regional terrestrial water storage changes, although their coarse spatial resolution remains a m...

Towards hydrological extreme event monitoring using deep learning-downscaled simulated NGGM and MAGIC data and GRACE(-FO) observations

Terrestrial Water Storage Anomalies (TWSA) derived from satellite gravimetry provide a unique, spatially integrated measure of large-scale hydrological conditions and are widely used to characterize basin-scale wet and dry states. However, their applicability to regional hydrological monitoring remains limited by their...

Artificial Intelligence-Powered Autonomous Orbit Determination Using Magnetometers in Small Satellites