Furkejuvvon:
| Váldodahkki: | |
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| Materiálatiipa: | Recurso digital |
| Giella: | |
| Almmustuhtton: |
Zenodo
2025
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| Liŋkkat: | https://doi.org/10.5281/zenodo.15042504 |
| Fáddágilkorat: |
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Sisdoallologahallan:
- <p>This is a simplified working example to use MATLAB to train a neural network (NN) to predict the ocean turbulence diffusivity, using a set of observations from chipods on the TAO/TRITON mooring at 0 degrees N, 140 degrees W in the equatorial Pacific. This is supplementary to the following manuscript, which describes the dataset and methodology in detail:</p> <p><br>Iyer, S., K.G. Hughes and J.N. Moum. Predicting ocean turbulence across orders of magnitude using neural networks trained on multiyear observations. Artificial Intelligence for the Earth Systems. </p> <p> </p> <p>Contact:<br>Suneil Iyer<br>Oregon State University<br>iyersu@oregonstate.edu</p> <p><br>Date updated (version 1.0.0):<br>17 March 2025</p> <p>Publication date (version 1.0.0):<br>20 March 2025</p>