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Gravity Recovery and Climate Experiment Follow-On
Gravity Recovery and Climate Experiment Follow-On
PulseAugur coverage of Gravity Recovery and Climate Experiment Follow-On — every cluster mentioning Gravity Recovery and Climate Experiment Follow-On across labs, papers, and developer communities, ranked by signal.
Total · 30d
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2 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
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2 over 90d
TIER MIX · 90D
TOPICS
RECENT · PAGE 1/1 · 2 TOTAL
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Graph Neural Networks Reconstruct Historical Water Storage Data
Researchers have developed a novel approach using spatio-temporal graph neural networks (MTGNN) to reconstruct historical terrestrial water storage (TWS) data. This deep learning model learns from meteorological forcing…
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New method reconstructs terrestrial water storage changes using satellite data
Researchers have developed a method to reconstruct terrestrial water storage changes over several decades by integrating pre-GRACE satellite observations with climate data. This approach provides detailed datasets on re…