Learning to downscale satellite gravimetry data through artificial intelligence

Self-supervised learning offers a promising way of downscaling the total water storage anomaly data from the Gravity Recovery and Climate Experiment (GRACE) satellites, contributing to a better understanding of the impact of natural climate variability and human activities at basin scales.