[Research] Example of using neural networks to improve climate models

Sharing a nice example of using neural networks for turbulence modeling of oceans. Recently, scientists have found that neural networks can assist in modeling turbulence, one of the unsolved problems in fluid mechanics. As writing the equations of unresolved turbulent fluxes has been a major challenge, researchers use neural networks to "learn" those fluxes from higher fidelity models (expensive) and infer the same in lower fidelity (inexpensive) models. In the article shared, the authors improve turbulence model of the upper …

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