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Abstract: Global high-resolution terrestrial water storage anomalies from robust and generalizable machine learning (AGU25)

Global high-resolution terrestrial water storage anomalies from robust and generalizable machine learning

Xueying Li1, Yan Sun2 and Louise J. Slater1, (1)University of Oxford, School of Geography and the Environment, Oxford, United Kingdom, (2)University of Sydney, School of Computer Science, Sydney, Australia
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