Published February 1, 2023 | Version v1

Replication Data for: ``Toward machine learning-augmented, bathymetry-aware parameterizations of mesoscale eddy buoyancy fluxes across upwelling slope fronts''

  • 1. Department of Ocean Science, The Hong Kong University of Science and Technology, Hong Kong, China

Description

This dataset contains the Python scripts for training the Artificial Neural Networks (ANNs), the trained ANNs, configuration files for the reference 2D MITgcm simulations, and model outputs used in the paper.

Files

ANN.zip

Files (1.2 GB)

Name Size
md5:0141548296a055ca197fdc9a79684736
14.3 MB Preview Download
md5:4f08dbf598bd8b1cd59c8da24c1e8d1f
1.2 GB Preview Download