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# SeaCast
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[![arXiv](https://img.shields.io/badge/arXiv-2410.11807-b31b1b.svg)](https://arxiv.org/abs/2410.11807) [![zenodo](https://img.shields.io/badge/zenodo-13894915-green.svg)](https://zenodo.org/records/13894915)
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<p align="middle">
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<img src="figures/hi_graph.png" width="700">
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</p>
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python download_data.py -d era5 -s 1987-01-01 -e 2024-05-31
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```
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4. Daily forecasts were fetched with the ECMWF [open data client](https://pypi.org/project/ecmwf-opendata/) for the months of July and August 2024 using a cronjob:
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4. Daily forecasts were fetched with the ECMWF [open data client](https://pypi.org/project/ecmwf-opendata/) and CMEMS python client for the months of July and August 2024 using a cronjob:
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```
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0 21 * * * python download_data.py --forecast >> forecasts.log 2>&1
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```
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Evaluation data + predicted fields are stored on Zenodo (https://zenodo.org/records/13894915).
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5. Satellite SST
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```
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pre-commit run --all-files
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```
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from the root directory of the repository.
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## Cite
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```
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@inproceedings{holmberg2024regional,
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title={Regional Ocean Forecasting with Hierarchical Graph Neural Networks},
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author={Holmberg, Daniel and Clementi, Emanuela and Roos, Teemu},
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booktitle={NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning},
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year={2024}
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}
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```

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