Learning Physically Interpretable Atmospheric Models from Data with WSINDy

Fuente: arXiv

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Bibliographic Details
Main Authors:	Minor, Seth, Messenger, Daniel A., Dukic, Vanja, Bortz, David M.
Format:	Preprint
Published:	2025
Subjects:	Geophysics Machine Learning Computational Physics 35D30, 86-08, 86-10
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2501.00738