Maike Sonnewald

According to our database, Maike Sonnewald authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting.

Sanah Suri, Kieran Ringel, Maike Sonnewald

CoRR, May, 2026

2025

Taking the Garbage Out of Data-Driven Prediction Across Climate Timescales.

Jason C. Furtado, Maria J. Molina, Marybeth C. Arcodia, Weston Anderson, Tom Beucler, John A. Callahan, Laura M. Ciasto, Vittorio A. Gensini, Michelle L'Heureux, Kathleen Pegion, Jhayron S. Perez-Carrasquilla, Maike Sonnewald, Ken Takahashi, Baoqiang Xiang, Brian G. Zimmerman

CoRR, August, 2025

Unveiling 3D Ocean Biogeochemical Provinces: A Machine Learning Approach for Systematic Clustering and Validation.

Yvonne Jenniges, Maike Sonnewald, Sebastian Maneth, Are Olsen, Boris P. Koch

CoRR, April, 2025

Unveiling 3D ocean biogeochemical provinces in the North Atlantic: A systematic comparison and validation of clustering methods.

Yvonne Jenniges, Maike Sonnewald, Sebastian Maneth, Are Olsen, Boris P. Koch

Ecol. Informatics, 2025

2024

Building Understandable Messaging for Policy and Evidence Review (BUMPER) with AI.

Katherine A. Rosenfeld, Maike Sonnewald, Sonia J. Jindal, Kevin A. McCarthy, Joshua L. Proctor

CoRR, 2024

A Moonshot for AI Oracles in the Sciences.

Bryan E. Kaiser, Tailin Wu, Maike Sonnewald, Colin Thackray, Skylar Callis

CoRR, 2024

The Importance of Architecture Choice in Deep Learning for Climate Applications.

Simon Dräger, Maike Sonnewald

CoRR, 2024

2023

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

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

CoRR, 2023

2022

Automated identification of dominant physical processes.

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

Eng. Appl. Artif. Intell., 2022

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

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

CoRR, 2022

2021

Towards neural Earth system modelling by integrating artificial intelligence in Earth system science.

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

Nat. Mach. Intell., 2021

Objective discovery of dominant dynamical processes with intelligible machine learning.

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

CoRR, 2021

Will Artificial Intelligence supersede Earth System and Climate Models?

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

CoRR, 2021