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Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Lin, Jerry, Hu, Zeyuan, Beucler, Tom, Frields, Katherine, Christensen, Hannah, Hannah, Walter, Heuer, Helge, Ukkonnen, Peter, Mansfield, Laura A., Zheng, Tian, Peng, Liran, Gupta, Ritwik, Gentine, Pierre, Al-Naher, Yusef, Duan, Mingjiang, Hattori, Kyo, Ji, Weiliang, Li, Chunhan, Matsuda, Kippei, Murakami, Naoki, Ron, Shlomo, Serlin, Marec, Song, Hongjian, Tanabe, Yuma, Yamamoto, Daisuke, Zhou, Jianyao, Pritchard, Mike
Formato:	Preprint
Publicado:	2025
Materias:	Atmospheric and Oceanic Physics Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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