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NVIDIA’s Earth-2: An Interactive Digital Twin of the Earth and its Subsystems

Authors

Hall,  David
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Pathak,  Jaideep
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Kashinath,  Karthik
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Pritchard,  Mike
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Messmer,  Peter
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Hariri,  Farah
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Brenowitz,  Noah
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Cohen,  Yair
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Anandkumar,  Anima
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Posey,  Stanley
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Hall, D., Pathak, J., Kashinath, K., Pritchard, M., Messmer, P., Hariri, F., Brenowitz, N., Cohen, Y., Anandkumar, A., Posey, S. (2023): NVIDIA’s Earth-2: An Interactive Digital Twin of the Earth and its Subsystems, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3980


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019853
Abstract
Earth-2 is a collaborative and open-science initiative launched by NVIDIA in Nov 2021, to develop operational digital twins of the Earth and its subsystems. The primary aim of Earth-2 is to improve predictions of extreme weather, projections of climate change, and to accelerate the development of effective mitigation and adaptation strategies - all using advanced modeling and scientifically principled machine learning methods at large scale. An AI centric approach is critical to enable fast and interactive exploration of potential adaptation / mitigation strategies, their consequences, and their trade-offs. Some of the digital twins under development as part of this project include AI surrogates of medium-range weather, global-climate, and seasonal-to-subseasonal forecasting. Other efforts include generative AI downscaling, automatic discovery of physical parameterizations, and generative prediction of precipitation. This talk will discuss the goals, strategies, progress, applications, and future challenges of this effort.