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On the potential of mapping sea level anomalies from satellite altimetry with Random Forest Regression
Authors:Passaro  Marcello  Juhl  Marie-Christin
Institution:1.Deutsches Geodätisches Forschungsinstitut der Technischen Universität München, Arcisstraße 21, 80333, Munich, Germany
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Abstract:Ocean Dynamics - The sea level observations from satellite altimetry are characterised by a sparse spatial and temporal coverage. For this reason, along-track data are routinely interpolated into...
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