Climate & Ocean Physics @ NYU
Climate & Ocean Physics @ NYU
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Deep Learning of Unresolved Turbulent Ocean Processes in Climate Models
L. Zanna
,
T. Bolton
August 2021
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Cite
DOI
Type
Book section
Publication
In Deep learning for the Earth Sciences (eds G. Camps-Valls, D. Tuia, X.X. Zhu and M. Reichstein)
,
https://doi.org/10.1002/9781119646181.ch20
Source Themes
Related
Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization
Data Driven Equation Discovery of Ocean Mesoscale Closures
Regional and Temporal Variability of Lateral Mixing in the North Atlantic
What causes the spread of model projections of sea level change in response to greenhouse gas forcing?
Oceanic stochastic parametrizations in a seasonal forecast system
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