Search Results for author: Maike Sonnewald

Found 3 papers, 0 papers with code

Objective discovery of dominant dynamical processes with intelligible machine learning

no code implementations21 Jun 2021 Bryan E. Kaiser, Juan A. Saenz, Maike Sonnewald, Daniel Livescu

The advent of big data has vast potential for discovery in natural phenomena ranging from climate science to medicine, but overwhelming complexity stymies insight.

Dimensionality Reduction

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

no code implementations26 Apr 2021 Maike Sonnewald, Redouane Lguensat, Daniel C. Jones, Peter D. Dueben, Julien Brajard, Venkatramani Balaji

Progress within physical oceanography has been concurrent with the increasing sophistication of tools available for its study.

Time Series

Will Artificial Intelligence supersede Earth System and Climate Models?

no code implementations22 Jan 2021 Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner

We outline a perspective of an entirely new research branch in Earth and climate sciences, where deep neural networks and Earth system models are dismantled as individual methodological approaches and reassembled as learning, self-validating, and interpretable Earth system model-network hybrids.

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