Training Data for NN-WIFF (Horvat and Roach, 2021)
Contains datasets used to train the neural network implementation of WIFF1.0 (github.com/chhorvat/WIFF-Model/). Three files: 1) Training_converged.mat - this is a matlab file containing in and out, which are the input and output vectors used to train the NN-WIFF networks. 2) 6hourly.zip - contains f...
| Main Authors: | , |
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| Format: | Dataset |
| Language: | unknown |
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Zenodo
2021
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| Online Access: | https://dx.doi.org/10.5281/zenodo.5108636 https://zenodo.org/record/5108636 |
| Summary: | Contains datasets used to train the neural network implementation of WIFF1.0 (github.com/chhorvat/WIFF-Model/). Three files: 1) Training_converged.mat - this is a matlab file containing in and out, which are the input and output vectors used to train the NN-WIFF networks. 2) 6hourly.zip - contains files used to create training_converged.mat. These are 6-hourly snapshots of sea ice thickness and concentration in 2009 CICE simulations driven by ocean surface waves. 3) 6hourlyfrachist.zip - contains files used to create training_converged.mat. These are 6-hourly snapshots of converged (SP-WIFF) fracture histograms in 2009 CICE simulations driven by ocean surface waves. |
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