metadata
language:
- en
CoastalBench-preview
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 velocitytemp: temperaturesalt: salinityAKs: vertical mixing coefficient
- 2D surface variables:
zeta: sea surface heightPair: surface air pressureQair: specific humidityTair: air temperaturerain: rainfall rateswrad: shortwave radiationlwrad: longwave radiationUwind: u-wind componentVwind: 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 levelsriver_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},
}