| --- |
| license: mit |
| --- |
| |
| # Dataset for Accurate Mediterranean Sea Forecasting via Graph-based Deep Learning |
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| This repo contains the dataset to get started with SeaCast and reproduce published results. |
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| The file structure is as follows: |
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| ``` |
| model_weights/ |
| graphs/ |
| data/ |
| └── mediterranean/ |
| └── samples/ |
| ├── test/ |
| ├── train/ (*202310* files) |
| └── val/ (*202403* files) |
| ├── observations/ |
| ├── metrics/ |
| └── static/ |
| ``` |
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| where the folders contain: |
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| - `model_weights`: SeaCast model weights |
| - `graphs`: hierarchical graphs for the Mediterranean Sea |
| - `test`: test set from July to December 2024 |
| - `train`: training subset from October 2023 |
| - `val`: validation subset from March 2024 |
| - `observations`: satellite and in-situ measurements for evaluation |
| - `metrics`: precalculated metrics |
| - `static`: static data to run SeaCast |
