|
|
--- |
|
|
language: |
|
|
- en |
|
|
--- |
|
|
# CoastalBench-preview |
|
|
|
|
|
\[[**Paper**](https://openreview.net/pdf?id=h3EEUJaMLu)\] \[[**GitHub**](https://github.com/spatialdatasciencegroup/CoastalBench)\] |
|
|
|
|
|
> This repository contains a 90-day subset of the full **CoastalBench** dataset, provided as a lightweight preview. |
|
|
|
|
|
|
|
|
## Dataset Overview |
|
|
|
|
|
- **Time span**: 2008-01-02 to 2008-04-01 |
|
|
- **Duration**: 90 days |
|
|
- **Temporal resolution**: Half-hourly (48 time steps per day) |
|
|
- **Spatial resolution**: 898 × 598 |
|
|
- **Vertical levels**: 12 (for 3D ocean features) |
|
|
- **Data type**: `float16` (This preview uses lower precision compared to the original NetCDF files for reduced storage) |
|
|
|
|
|
|
|
|
## Variables |
|
|
|
|
|
### Ocean and Meteorological Features |
|
|
Each `.zarr` file contains 48 half-hourly time steps across 82 features, stacked along the first dimension. |
|
|
|
|
|
The 82 features include: |
|
|
- **3D variables** (each with 12 vertical levels, treated as 12 separate 2D channels): |
|
|
- `u`: horizontal velocity (east-west) |
|
|
- `v`: horizontal velocity (north-south) |
|
|
- `w`: vertical velocity |
|
|
- `temp` : temperature |
|
|
- `salt` : salinity |
|
|
- `AKs` : vertical mixing coefficient |
|
|
- **2D surface variables**: |
|
|
- `zeta`: sea surface height |
|
|
- `Pair`: surface air pressure |
|
|
- `Qair`: specific humidity |
|
|
- `Tair`: air temperature |
|
|
- `rain`: rainfall rate |
|
|
- `swrad`: shortwave radiation |
|
|
- `lwrad`: longwave radiation |
|
|
- `Uwind`: u-wind component |
|
|
- `Vwind`: v-wind component |
|
|
- **Land-sea mask**: |
|
|
- `mask`: binary mask (1 for ocean, 0 for land), included as the 82nd feature |
|
|
|
|
|
All features are stacked into a single 4D tensor: `(features=82, height=898, width=598, time=48)` |
|
|
|
|
|
### River Inputs |
|
|
Each river Zarr file contains 48 half-hourly time steps of 25 features across 4 river locations. These features include: |
|
|
|
|
|
- `river_transport`: river transport (1D) |
|
|
- `river_temp`: temperature at 12 depth levels |
|
|
- `river_salt`: salinity at 12 depth levels |
|
|
|
|
|
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. |
|
|
|
|
|
## File Structure |
|
|
|
|
|
``` |
|
|
CoastalBench-preview/ |
|
|
├── ocean_met/ |
|
|
│ ├── 20080102.zarr/ |
|
|
│ ├── 20080103.zarr/ |
|
|
│ ├── ... |
|
|
│ └── 20080401.zarr/ |
|
|
│ |
|
|
├── river/ |
|
|
│ ├── 20080102.zarr/ |
|
|
│ ├── 20080103.zarr/ |
|
|
│ ├── ... |
|
|
│ └── 20080401.zarr/ |
|
|
``` |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
## Citation |
|
|
Please cite our paper if you find this dataset useful for your work: |
|
|
``` |
|
|
@inproceedings{coastalbench, |
|
|
title={CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes}, |
|
|
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}, |
|
|
booktitle={Forty-second International Conference on Machine Learning}, |
|
|
year={2025}, |
|
|
} |
|
|
``` |
