Search Results - "Sonnewald, Maike"

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

“…The North Atlantic ocean is key to climate through its role in heat transport and storage. Climate models suggest that the circulation is weakening but the…”
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Towards neural Earth system modelling by integrating artificial intelligence in Earth system science by Irrgang, Christopher, Boers, Niklas, Sonnewald, Maike, Barnes, Elizabeth A., Kadow, Christopher, Staneva, Joanna, Saynisch-Wagner, Jan

“…Earth system models (ESMs) are our main tools for quantifying the physical state of the Earth and predicting how it might change in the future under ongoing…”
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Bridging observations, theory and numerical simulation of the ocean using machine learning by Sonnewald, Maike, Lguensat, Redouane, Jones, Daniel C, Dueben, Peter D, Brajard, Julien, Balaji, V

“…Progress within physical oceanography has been concurrent with the increasing sophistication of tools available for its study. The incorporation of machine…”
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A Southern Ocean supergyre as a unifying dynamical framework identified by physics-informed machine learning by Sonnewald, Maike, Reeve, Krissy Anne, Lguensat, Redouane

“…The Southern Ocean closes the global overturning circulation and is key to the regulation of carbon, heat, biological production, and sea level. However, the…”
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Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions by Sonnewald, Maike, Wunsch, Carl, Heimbach, Patrick

“…Dynamically similar regions of the global ocean are identified using a barotropic vorticity (BV) framework from a 20‐year mean of the Estimating the…”
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Elucidating ecological complexity: Unsupervised learning determines global marine eco-provinces by Sonnewald, Maike, Dutkiewicz, Stephanie, Hill, Christopher, Forget, Gael

“…An unsupervised learning method is presented for determining global marine ecological provinces (eco-provinces) from plankton community structure and nutrient…”
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Seasonal variability of sea surface height in the coastal waters and deep basins of the Nordic Seas by Bulczak, Anna I., Bacon, Sheldon, Naveira Garabato, Alberto C., Ridout, Andrew, Sonnewald, Maike J. P., Laxon, Seymour W.

“…Sea surface height measured by the Envisat radar altimeter over open ocean and from leads in sea ice are combined to generate a complete view of variability in…”
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Explainable Artificial Intelligence for Bayesian Neural Networks: Toward Trustworthy Predictions of Ocean Dynamics by Clare, Mariana C. A., Sonnewald, Maike, Lguensat, Redouane, Deshayes, Julie, Balaji, V.

“…The trustworthiness of neural networks is often challenged because they lack the ability to express uncertainty and explain their skill. This can be…”
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A Scale‐Dependent Analysis of the Barotropic Vorticity Budget in a Global Ocean Simulation by Khatri, Hemant, Griffies, Stephen M., Storer, Benjamin A., Buzzicotti, Michele, Aluie, Hussein, Sonnewald, Maike, Dussin, Raphael, Shao, Andrew

“…The climatological mean barotropic vorticity budget is analyzed to investigate the relative importance of surface wind stress, topography, planetary vorticity…”
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Regional sensitivity patterns of Arctic Ocean acidification revealed with machine learning by Krasting, John P., De Palma, Maurizia, Sonnewald, Maike, Dunne, John P., John, Jasmin G.

“…Ocean acidification is a consequence of the absorption of anthropogenic carbon emissions and it profoundly impacts marine life. Arctic regions are particularly…”
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Linear Predictability: A Sea Surface Height Case Study by Sonnewald, Maike, Wunsch, Carl, Heimbach, Patrick

“…A benchmark of linear predictability of sea surface height (SSH) globally is presented, complementing more complicated studies of SSH predictability. Twenty…”
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Automated identification of dominant physical processes by Kaiser, Bryan E., Saenz, Juan A., Sonnewald, Maike, Livescu, Daniel

“…The identification of processes that locally and approximately dominate dynamical system behavior has enabled significant advances in understanding and…”
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Machine Learning for Climate Physics and Simulations by Lai, Ching-Yao, Hassanzadeh, Pedram, Sheshadri, Aditi, Sonnewald, Maike, Ferrari, Raffaele, Balaji, Venkatramani

“…We discuss the emerging advances and opportunities at the intersection of machine learning (ML) and climate physics, highlighting the use of ML techniques,…”
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Explainable artificial intelligence for Bayesian neural networks: towards trustworthy predictions of ocean dynamics by Clare, Mariana C. A., Sonnewald, Maike, Lguensat, Redouane, Deshayes, Julie, Balaji, V.

“…The trustworthiness of neural networks is often challenged because they lack the ability to express uncertainty and explain their skill. This can be…”
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The Importance of Architecture Choice in Deep Learning for Climate Applications by Dräger, Simon, Sonnewald, Maike

“…Machine Learning has become a pervasive tool in climate science applications. However, current models fail to address nonstationarity induced by anthropogenic…”
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Unsupervised classification identifies coherent thermohaline structures in the Weddell Gyre region by Jones, Dani C, Sonnewald, Maike, Zhou, Shenjie, Hausmann, Ute, Meijers, Andrew J. S, Rosso, Isabella, Boehme, Lars, Meredith, Michael P, Naveira Garabato, Alberto C

“…The Weddell Gyre is a major feature of the Southern Ocean and an important component of the planetary climate system; it regulates air–sea exchanges, controls…”
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Ocean model utility dependence on horizontal resolution by Sonnewald, Maike

“…This thesis examines the change in ocean model utility with changing horizontal resolution. Oceans are a crucial part of the climate system, with numerical…”
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A Moonshot for AI Oracles in the Sciences by Kaiser, Bryan, Wu, Tailin, Sonnewald, Maike, Thackray, Colin, Callis, Skylar

“…Nobel laureate Philip Anderson and Elihu Abrahams once stated that, "even if machines did contribute to normal science, we see no mechanism by which they could…”
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Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning by Yik, William, Sonnewald, Maike, Clare, Mariana C. A, Lguensat, Redouane

“…Complex ocean systems such as the Antarctic Circumpolar Current play key roles in the climate, and current models predict shifts in their strength and area…”
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Building Understandable Messaging for Policy and Evidence Review (BUMPER) with AI by Rosenfeld, Katherine A, Sonnewald, Maike, Jindal, Sonia J, McCarthy, Kevin A, Proctor, Joshua L

“…We introduce a framework for the use of large language models (LLMs) in Building Understandable Messaging for Policy and Evidence Review (BUMPER). LLMs are…”
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