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Maike Sonnewald

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Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, USA, NOAA/OAR Geophysical Fluid Dynamics Laboratory, Ocean and Cryosphere Division, Princeton, USA, University of Washington, School of Oceanography, Seattle, USA

The Importance of Architecture Choice in Deep Learning for Climate Applications

Feb 21, 2024
Simon Dräger, Maike Sonnewald

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Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning

Oct 21, 2023
William Yik, Maike Sonnewald, Mariana C. A. Clare, Redouane Lguensat

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Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics

Apr 30, 2022
Mariana C. A. Clare, Maike Sonnewald, Redouane Lguensat, Julie Deshayes, Venkatramani Balaji

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Objective discovery of dominant dynamical processes with intelligible machine learning

Jun 21, 2021
Bryan E. Kaiser, Juan A. Saenz, Maike Sonnewald, Daniel Livescu

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Bridging observation, theory and numerical simulation of the ocean using Machine Learning

Apr 26, 2021
Maike Sonnewald, Redouane Lguensat, Daniel C. Jones, Peter D. Dueben, Julien Brajard, Venkatramani Balaji

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Will Artificial Intelligence supersede Earth System and Climate Models?

Jan 22, 2021
Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner

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