| | --- |
| | license: cc-by-4.0 |
| | pipeline_tag: graph-ml |
| | language: |
| | - en |
| | tags: |
| | - ocean |
| | - ocean-forecasting |
| | - climate |
| | - neural-network |
| | --- |
| | |
| | <div align="center"> |
| |
|
| | **GLONET** |
| |
|
| | **Mercator's End-to-End Neural Forecasting System** |
| |
|
| | <img width="200" src="https://minio.dive.edito.eu/project-glonet/public/glonet_thumbnail.png" alt="GLONET logo"> |
| |
|
| | </div> |
| |
|
| | GLONET is a neural network-based ocean forecasting system developed by [Mercator Ocean International](https://www.mercator-ocean.eu/), which architecture is described in the [scientific paper](#citation), outputting in seconds a 10-days daily forecasts of the temperature, sea surface height, salinity and currents at 1/4 degree resolution (1/12 degree effective resolution) over 21 depth levels. |
| |
|
| | Visit [GLONET website](https://glonet.lab.dive.edito.eu) for more information. |
| |
|
| | ### Forecast visualization examples |
| |
|
| | Current | Temperature | Salinity | Sea surface height |
| | :------:|:-----------:|:--------:|:-----------------: |
| |  |  |  |  |
| |
|
| | ### Architecture |
| |
|
| | <div align="center"> |
| | <img src="https://minio.dive.edito.eu/project-glonet/public/glonet_architecture.png" alt="GLONET architecture overview" width="600"> |
| | <figcaption>Overview of GLONET's architecture containing different modules, particularly time-block designed to learn feature maps encapsulating initial conditions along with forcings. A spatial module architectured to learn multi-scale dynamics, and finally an encoder-decoder to fuse multi-scale circulations into a unified latent space.</figcaption> |
| | </div> |
| |
|
| | ### Citation |
| |
|
| | GLONET's scientific paper is published in [Journal of Geophysical Research: Machine Learning and Computation (AGU JDR)](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2025JH000686). |
| | ``` |
| | @article{ |
| | https://doi.org/10.1029/2025JH000686, |
| | author = {El Aouni, Anass and Gaudel, Quentin and Regnier, Charly and Van Gennip, Simon and Le Galloudec, Olivier and Drevillon, Marie and Drillet, Yann and Lellouche, Jean-Michel}, |
| | title = {GLONET: Mercator's End-to-End Neural Global Ocean Forecasting System}, |
| | journal = {Journal of Geophysical Research: Machine Learning and Computation}, |
| | volume = {2}, |
| | number = {3}, |
| | pages = {e2025JH000686}, |
| | doi = {https://doi.org/10.1029/2025JH000686}, |
| | url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2025JH000686}, |
| | eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2025JH000686}, |
| | note = {e2025JH000686 2025JH000686}, |
| | year = {2025} |
| | } |
| | ``` |
| |
|
| | ### Licensing |
| |
|
| | This project is distributed under a dual licensing scheme to separate the code from the learned parameters (weights). |
| |
|
| | #### 1. Source Code / Scripts |
| | The source code and scripts provided in this repository are released under the **European Union Public Licence (EUPL v1.2)**. |
| | - See the [LICENSE](https://eupl.eu/1.2/en/) file for full details. |
| |
|
| | #### 2. Model Weights |
| |
|
| | The model weights (parameters) stored in this repository are released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. |
| | - **You are free to:** Share and adapt the weights. |
| | - **Under the following terms:** You must give appropriate credit to **Mercator Ocean International**, provide a link to the license, and indicate if changes were made. |
| |
|
| | **Disclaimer:** This model is for research and demonstration purposes... |
| |
|
| | ### Contact |
| |
|
| | GLONET is implemented and developed by [Mercator Ocean International](https://www.mercator-ocean.eu/). |
| | For any information about GLONET, you can contact [glonet@mercator-ocean.eu](mailto:glonet@mercator-ocean.eu). |
