---
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
:------:|:-----------:|:--------:|:-----------------:
![](https://minio.dive.edito.eu/project-glonet/public/glonet-current-sample.png) | ![](https://minio.dive.edito.eu/project-glonet/public/glonet-temperature-sample.png) | ![](https://minio.dive.edito.eu/project-glonet/public/glonet-salinity-sample.png) | ![](https://minio.dive.edito.eu/project-glonet/public/glonet-height-sample.png)

### 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).