| --- |
| frameworks: PyTorch |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - OneScience |
| - Earth Science |
| - Ocean Forecasting |
| - Global Ocean Forecasting |
| - GLORYS12 |
| - FNO |
| tasks: [] |
| datasets: |
| - GLORYS12 |
| --- |
| <p align="center"> |
| <strong> |
| <span style="font-size: 30px;">GLONET</span> |
| </strong> |
| </p> |
| |
| # Model Introduction |
|
|
| GLONET (Global Ocean Neural Network) is a global ocean neural-network forecasting system developed by Mercator Ocean International, a leading European ocean forecasting center. |
|
|
| # Model Description |
|
|
| GLONET forecasts global ocean states. It takes two consecutive daily states as input and outputs the 34-channel ocean state for the next day. |
|
|
| # Use Cases |
|
|
| | Scenario | Description | |
| | :---: | :--- | |
| | Global ocean forecast research | Train a dual-branch FNO/CNN ocean forecast model with GLORYS12-compatible data. | |
| | Local quick validation | Use synthetic ocean fields to check data loading, pretraining, fine-tuning, inference, and visualization. | |
| | ModelScope / OneCode execution | Download the standalone model package, install dependencies, and run the scripts directly. | |
| | Multi-GPU training | Run multi-GPU training with `torchrun`. | |
|
|
| # Usage Guide |
|
|
| ## 1. OneCode Usage |
|
|
| Experience intelligent one-click AI4S programming through the OneCode online environment: |
|
|
| [Click to Experience Intelligent One-Click AI4S Programming](https://web-2069360198568017922-iaaj.ksai.scnet.cn:58043/home) |
|
|
| ## 2. Manual Installation and Usage |
|
|
| **Hardware Requirements** |
|
|
| - A GPU or DCU is recommended. |
| - CPU can be used for import and small-scale connectivity verification; full training and inference will be slow. |
| - DCU users must install DTK in advance. DTK 25.04.2 or above, or the OneScience recommended version matching your cluster, is recommended. |
|
|
| ### Download the Model Package |
|
|
| ```bash |
| hf download OneScience-Group/GLONET --local-dir ./GLONET |
| cd GLONET |
| ``` |
|
|
| ### Install the Runtime Environment |
|
|
| **DCU Environment** |
|
|
| ```bash |
| # Please activate DTK and CONDA first |
| conda create -n onescience311 python=3.11 -y |
| conda activate onescience311 |
| # uv installation is supported |
| pip install onescience[earth-dcu] -i http://mirrors.onescience.ai:3141/pypi/simple/ --trusted-host mirrors.onescience.ai |
| ``` |
|
|
| **GPU Environment** |
| ```bash |
| # Please activate CONDA first |
| conda create -n onescience311 python=3.11 -y libstdcxx-ng=12 libgcc-ng=12 gcc_linux-64=12 gxx_linux-64=12 |
| conda activate onescience311 |
| # uv installation is supported |
| pip install onescience[earth-gpu] -i http://mirrors.onescience.ai:3141/pypi/simple/ --trusted-host mirrors.onescience.ai |
| ``` |
|
|
| ### Training Data Introduction |
|
|
| The original work uses GLORYS12 reanalysis data. Real data must first be converted to the channel order and grid specified in `conf/config.yaml`; the raw GLORYS12 data is not included in this package. The default synthetic data is only for interface checks: |
|
|
| ```bash |
| python scripts/fake_data.py |
| ``` |
|
|
| ### Training |
|
|
| Single GPU: |
|
|
| ```bash |
| python scripts/train.py |
| ``` |
|
|
| Multi-GPU: |
|
|
| ```bash |
| torchrun --nproc_per_node=8 scripts/train.py |
| ``` |
|
|
| Checkpoints are saved to `data/checkpoints/` by default. |
|
|
| ### Training Weights |
|
|
| This repository provides weights trained on GLORYS12 data in the `weight/` folder. The weight files will be uploaded soon and are expected to be available in the near future. |
|
|
| ### Inference |
|
|
| ```bash |
| python scripts/inference.py |
| ``` |
|
|
| The prediction tensor is written to `result/glonet/data/prediction.pt` by default. |
|
|
| ### Evaluation and Visualization |
|
|
| ```bash |
| python scripts/result.py |
| ``` |
|
|
| The default output is `result/glonet/prediction.png`. Meaningful errors are computed only when a real reference field is provided. |
|
|
| # Official OneScience Resources |
|
|
| | Platform | OneScience Main Repository | Skills Repository | |
| | --- | --- | --- | |
| | Gitee | https://gitee.com/onescience-ai/onescience | https://gitee.com/onescience-ai/oneskills | |
| | GitHub | https://github.com/onescience-ai/OneScience | https://github.com/onescience-ai/oneskills | |
|
|
| # Citation and License |
|
|
| - This repository is a reproduction of the original GLONET paper. |
|
|
