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Works (13)

The Importance of Architecture Choice in Deep Learning for Climate Applications

2024 | Preprint
DOI: 10.48550/ARXIV.2402.13979
Contributors: Simon Dräger; Maike Sonnewald
Source: Self-asserted source
Maike Sonnewald

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

2023 | Preprint
DOI: 10.48550/ARXIV.2310.13916
Contributors: William Yik; Maike Sonnewald; Mariana C. A. Clare; Redouane Lguensat
Source: Self-asserted source
Maike Sonnewald

Unsupervised classification identifies coherent thermohaline structures in the Weddell Gyre region

Ocean Science
2023-06-22 | Journal article
DOI: 10.5194/os-19-857-2023
Part of ISSN: 1812-0792
Contributors: Dani Jones; Maike Sonnewald; Shenjie Zhou; Ute Hausmann; Andrew Meijers; Isabella Rosso; Lars Boehme; Michael P. Meredith; Alberto C. Naveira Garabato
Source: Self-asserted source
Maike Sonnewald

A Southern Ocean supergyre as a unifying dynamical framework identified by physics-informed machine learning

Communications Earth & Environment
2023-05-05 | Journal article
DOI: 10.1038/s43247-023-00793-7
Contributors: Maike Sonnewald; Krissy Anne Reeve; Redouane Lguensat
Source: check_circle
Crossref

Digital Twins of the Ocean can foster a sustainable blue economy in a protected marine environment

The International Hydrographic Review
2023-05-01 | Journal article
DOI: 10.58440/ihr-29-a04
Part of ISSN: 0020-6946
Contributors: Ute Brönner; Maike Sonnewald; Martin Visbeck
Source: Self-asserted source
Maike Sonnewald

Automated identification of dominant physical processes

Engineering Applications of Artificial Intelligence
2022-11 | Journal article
DOI: 10.1016/j.engappai.2022.105496
Part of ISSN: 0952-1976
Contributors: Bryan Kaiser; Juan A. Saenz; Maike Sonnewald; Daniel Livescu
Source: Self-asserted source
Maike Sonnewald

Explainable Artificial Intelligence for Bayesian Neural Networks: Toward Trustworthy Predictions of Ocean Dynamics

Journal of Advances in Modeling Earth Systems
2022-11 | Journal article
DOI: 10.1029/2022MS003162
Contributors: Mariana C. A. Clare; Maike Sonnewald; Redouane Lguensat; Julie Deshayes; V. Balaji
Source: check_circle
Crossref

Revealing the Impact of Global Heating on North Atlantic Circulation Using Transparent Machine Learning

Journal of Advances in Modeling Earth Systems
2021-08 | Journal article
DOI: 10.1029/2021MS002496
Contributors: Maike Sonnewald; Redouane Lguensat
Source: check_circle
Crossref

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

Nature Machine Intelligence
2021-08-17 | Journal article
DOI: 10.1038/s42256-021-00374-3
Part of ISSN: 2522-5839
Contributors: Christopher Irrgang; Niklas Boers; Maike Sonnewald; Elizabeth A. Barnes; Christopher Kadow; Joanna Staneva; Jan Saynisch-Wagner
Source: Self-asserted source
Maike Sonnewald

Bridging observations, theory and numerical simulation of the ocean using machine learning

Environmental Research Letters
2021-07-01 | Journal article
DOI: 10.1088/1748-9326/ac0eb0
Contributors: Maike Sonnewald; Redouane Lguensat; Daniel C Jones; Peter D Dueben; Julien Brajard; V Balaji
Source: check_circle
Crossref

Elucidating ecological complexity: Unsupervised learning determines global marine eco-provinces

Science Advances
2020-05-29 | Journal article
DOI: 10.1126/sciadv.aay4740
Contributors: Maike Sonnewald; Stephanie Dutkiewicz; Christopher Hill; Gael Forget
Source: check_circle
Crossref

Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions

Earth and Space Science
2019-05 | Journal article
DOI: 10.1029/2018EA000519
Contributors: Maike Sonnewald; Carl Wunsch; Patrick Heimbach
Source: check_circle
Crossref

Atlantic meridional ocean heat transport at 26° N: impact on subtropical ocean heat content variability

Ocean Science
2013-12-05 | Journal article
DOI: 10.5194/os-9-1057-2013
Part of ISSN: 1812-0792
Contributors: M. Sonnewald; J. J.-M. Hirschi; R. Marsh; E. L. McDonagh; B. A. King
Source: Self-asserted source
Maike Sonnewald
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