2025JH000655

This record contains data used in the paper "Predicting submesoscale tracer dispersion with neural networks". It contains: Vort_Trac folder: 1) Snapshots of bartropic vorticity of many oceanic flow simulations across varying Rossby number and energy in baroclinic instability 2) Snapshots of tracer fields advected in the same flows. FigData_numpy folder: 3) Model predictions used in the figures and analysis in the paper. Files are named as: z_{Rossby_number}_{baroclinic_energy}_{time}.npy for vorticity snapshots tr_{Rossby_number}_{baroclinic_energy}_{time}.npy for tracer snapshots Other files are name in a similar way. 'ModelAndDerivations.ipynb' is a jupyter notebook file that defines all the models and has functions to load parameters from the 'models' folder. It also contains functions to derive spectra, flux, spectral loss, etc 'models' folder contained parameters of the trained neural networks