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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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Détails bibliographiques
Auteurs principaux:	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
Format:	Preprint
Publié:	2025
Sujets:	Atmospheric and Oceanic Physics Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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