Probabilistic Machine Learning Estimation of Ocean Mixed Layer Depth from Dense Satellite and Sparse In-Situ Observations - Foster, Dallas; II, David John Gagne; Whitt, Daniel B (Journal of advances in modeling earth systems, 2021)
Keywords: Analysis; Argo; Atmosphere; Atmospheric Processes; Climatology; Computational Geophysics; Data assimilation; Data Assimilation, Integration and Fusion; Earth Resources And Remote Sensing; Geodesy and Gravity; Global Change; Hydrology; Hypotheses; Informatics; Interpolation; Machine Learning; Machine learning application to Earth system modeling; Mathematical Geophysics; Mixed layer; Mixed layer depth; Natural Hazards; Neural networks; Neural Networks, Fuzzy Logic, Machine Learning; ocean; Ocean circulation; Ocean mixed layer; Ocean models; Oceanography: Physical; Oceans; Remote Sensing; Remote Sensing and Disasters; Remote Sensing of Volcanoes; Salinity; satellite; Satellite observation; Satellites; Sea level; Sea surface; Sea surface temperature; Space Geodetic Surveys; Surface temperature; Uncertainty; Uncertainty Assessment; Uncertainty Quantification; Upper ocean; Upper Ocean and Mixed Layer Processes; Variability; Volcanology; Weekly; Ocean; Satellite; In-Situ; Observations; Machine Learning; Mixed Layer Depth