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.
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Sun, A. Learning to downscale satellite gravimetry data through artificial intelligence. Nat Water 2, 110–112 (2024). https://doi.org/10.1038/s44221-024-00199-5
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DOI: https://doi.org/10.1038/s44221-024-00199-5
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