Applications of deep learning to ocean data inference and subgrid parameterization
Oceanographic observations are limited by sampling rates, while ocean models are limited by finite resolution and high viscosity and diffusion coefficients. Therefore, both data from observations and ocean models lack information at small and fast scales. Methods are needed to either extract informa...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
American Geophysical Union
2019
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