Revealing the Impact of Global Heating on North Atlantic Circulation Using Transparent Machine Learning by Maike Sonnewald, Redouane Lguensat

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A Southern Ocean supergyre as a unifying dynamical framework identified by physics-informed machine learning by Maike Sonnewald, Krissy Anne Reeve, Redouane Lguensat

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Machine Learning for Fog-and-Low-Stratus Nowcasting from Meteosat SEVIRI Satellite Images by Driss Bari, Nabila Lasri, Rania Souri, Redouane Lguensat

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Semi‐Automatic Tuning of Coupled Climate Models With Multiple Intrinsic Timescales: Lessons Learned From the Lorenz96 Model by Redouane Lguensat, Julie Deshayes, Homer Durand, Venkatramani Balaji

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A Posteriori Learning for Quasi‐Geostrophic Turbulence Parametrization by Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat

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An Efficient Algorithm for Ocean-Front Evolution Trend Recognition by Yuting Yang, Kin-Man Lam, Xin Sun, Junyu Dong, Redouane Lguensat

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Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation by Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Pierre-Henri Horrein, Bertrand Chapron

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Explainable Artificial Intelligence for Bayesian Neural Networks: Toward Trustworthy Predictions of Ocean Dynamics by Mariana C. A. Clare, Maike Sonnewald, Redouane Lguensat, Julie Deshayes, V. Balaji

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Bridging observations, theory and numerical simulation of the ocean using machine learning by Maike Sonnewald, Redouane Lguensat, Daniel C Jones, Peter D Dueben, Julien Brajard, V Balaji

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