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Presentation | NG23A: Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences III: Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation, and Hybrid Modeling III Oral
Oral
NG23A-05: Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean models

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298-299

NOLA CC

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Author(s):
Pavel Perezhogin, New York University (First Author, Presenting Author)
Alistair Adcroft, Program for Atmospheric and Oceanic Sciences
Laure Zanna, New York University

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Main Session

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Pavel Perezhogin

NG23A: Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences III: Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation, and Hybrid Modeling III Oral