Published December 9, 2024
| Version v1
Dataset
Open
Replication Data for: ``Global Estimation of Subsurface Eddy Kinetic Energy of Mesoscale Eddies Using a Multiple-input Residual Neural Network''
Authors/Creators
Description
This dataset contains the Python scripts for training the fully connected neural network model (FCNN), surface-input Residual neural network model (ResNet), multiple-input fully connected neural network model (MI-FCNN), and multiple-input residual neural network model (MI-ResNet), as well as the Matlab files for post-processing reanalysis and observational datasets.
Files
ML_code.zip
Files
(1.2 GB)
| Name | Size | Download all |
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md5:c13ca24234f967223b34d2e79a60ae0e
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436.8 MB | Preview Download |
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md5:1ea42c8db06bb0b5bea1e2eeb6219ffe
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792.1 MB | Preview Download |