mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ma, Yiling, Abraham, Nathan Luke, Versick, Stefan, Ruhnke, Roland, Schneidereit, Andrea, Niemeier, Ulrike, Back, Felix, Braesicke, Peter, Nowack, Peer
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2509.20422