Add files using upload-large-folder tool
Browse files- README.md +84 -0
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README.md
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# CoastalBench-preview
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\[[**Paper**](https://openreview.net/pdf?id=h3EEUJaMLu)\] \[[**GitHub**](https://github.com/spatialdatasciencegroup/CoastalBench)\]
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> This repository contains a 90-day subset of the full **CoastalBench** dataset, provided as a lightweight preview.
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## Dataset Overview
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- **Time span**: 2008-01-02 to 2008-04-01
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- **Duration**: 90 days
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- **Temporal resolution**: Half-hourly (48 time steps per day)
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- **Spatial resolution**: 898 × 598
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- **Vertical levels**: 12 (for 3D ocean features)
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- **Data type**: `float16` (This preview uses lower precision compared to the original NetCDF files for reduced storage)
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## Variables
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### Ocean and Meteorological Features
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Each `.zarr` file contains 48 half-hourly time steps across 82 features, stacked along the first dimension.
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The 82 features include:
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- **3D variables** (each with 12 vertical levels, treated as 12 separate 2D channels):
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- `u`: horizontal velocity (east-west)
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- `v`: horizontal velocity (north-south)
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| 27 |
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- `w`: vertical velocity
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- `temp` : temperature
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- `salt` : salinity
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| 30 |
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- `AKs` : vertical mixing coefficient
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| 31 |
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- **2D surface variables**:
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- `zeta`: sea surface height
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- `Pair`: surface air pressure
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| 34 |
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- `Qair`: specific humidity
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- `Tair`: air temperature
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| 36 |
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- `rain`: rainfall rate
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| 37 |
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- `swrad`: shortwave radiation
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| 38 |
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- `lwrad`: longwave radiation
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| 39 |
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- `Uwind`: u-wind component
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| 40 |
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- `Vwind`: v-wind component
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| 41 |
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- **Land-sea mask**:
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| 42 |
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- `mask`: binary mask (1 for ocean, 0 for land), included as the 82nd feature
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All features are stacked into a single 4D tensor: `(features=82, height=898, width=598, time=48)`
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### River Inputs
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Each river Zarr file contains 48 half-hourly time steps of 25 features across 4 river locations. These features include:
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- `river_transport`: river transport (1D)
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- `river_temp`: temperature at 12 depth levels
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- `river_salt`: salinity at 12 depth levels
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All features are stored in a 3D array with shape `(features=25, rivers=4, time=48)` and are temporally aligned with the ocean and meteorological data.
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## File Structure
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```
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CoastalBench-preview/
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├── ocean_met/
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│ ├── 20080102.zarr/
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│ ├── 20080103.zarr/
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│ ├── ...
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│ └── 20080401.zarr/
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│
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├── river/
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│ ├── 20080102.zarr/
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│ ├── 20080103.zarr/
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│ ├── ...
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│ └── 20080401.zarr/
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```
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## Citation
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Please cite our paper if you find this dataset useful for your work:
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| 77 |
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```
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| 78 |
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@inproceedings{coastalbench,
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| 79 |
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title={CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes},
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| 80 |
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author={Xu, Zelin and Zhang, Yupu and Xiao, Tingsong and Lizaso, Maitane Olabarrieta and Gonzalez-Ondina, Jose M and Liu, Zibo and Chen, Shigang and Jiang, Zhe},
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booktitle={Forty-second International Conference on Machine Learning},
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year={2025},
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}
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```
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river/20080108.zarr/.zarray
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river/20080108.zarr/0.0.0
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river/20080109.zarr/.zarray
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river/20080109.zarr/0.0.0
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river/20080113.zarr/.zarray
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river/20080113.zarr/0.0.0
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river/20080118.zarr/.zarray
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river/20080118.zarr/0.0.0
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river/20080119.zarr/.zarray
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"compressor": {
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"cname": "zstd",
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"zarr_format": 2
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river/20080119.zarr/0.0.0
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river/20080124.zarr/.zarray
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"chunks": [
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"zarr_format": 2
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river/20080124.zarr/0.0.0
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river/20080127.zarr/.zarray
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{
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"chunks": [
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river/20080331.zarr/0.0.0
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