Jupyter-notebook and python scripts for computing vertical turbulent diffusivity and dissipation given oceanic flow properties.

This archive contains the annotated Jupyter-notebook (10fold-inference-final.ipynb), associated python scripts, trained Neural Network-weights and some data samples for the Neural Network component of the paper "Deep ocean learning of small-scale turbulence" by Ali Mashayek, Nick Reynard, Fangming Zhai , Kaushik Srinivasan, Adam Jelley , Alberto Naveira Garabato , Colm-cille P. Caulfield to appear in Geophysical Research Letters (2022) Please cite that paper if you find this code useful. The corresponding NN training pipeline can be found on the author's github page.

Related Organizations

University of California, Los Angeles
United States

Keywords

Ocean, Neural Networks, Mixing, Dissipation, Microstructure

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