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Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations

Metehan Uz, Kazım Gökhan Atman, Orhan Akyılmaz, C. K. Shum, Merve Keleş, Tuğçe Ay, Bihter Tandoğdu, Yu Zhang, H. Mercan

2022The Science of The Total Environment40 citationsDOI

Topics & Concepts

Computer scienceDeep learningConvolutional neural networkTime seriesArtificial intelligenceData miningMachine learningGeophysics and Gravity MeasurementsSolar and Space Plasma DynamicsGeomagnetism and Paleomagnetism Studies
Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations | Litcius