Datasets:
license: cc-by-4.0
tags:
- CMEMS
- Marine forecast
- Reanalysis
- Physical Ocean
- Global Ocean
language:
- en
- zh
CMEMS
Dataset Description
CMEMS is an HDF5 gridded dataset for global ocean forecasting tasks. By integrating satellite and in situ observations with numerical ocean models, it provides real-time analyses, forecasts, and historical reconstructions for a variety of variables.
Supported Tasks
This standardized data repository contains 7 annual files covering 1993-1999. Each file provides ocean variable fields, global means, and global standard deviations, and can be used for XiHe model training, validation, testing, inference input, and evaluation.
Dataset Format and Structure
Each annual file is in HDF5 format and follows the path pattern data/<year>.h5. Each file contains:
| HDF5 Path | shape | dtype | Description |
|---|---|---|---|
fields |
[3, 96, 2041, 4320] |
float32 |
3 time samples, 96 variables, and a global grid |
global_means |
[1, 96, 1, 1] |
float32 |
Global means aligned with the variable order |
global_stds |
[1, 96, 1, 1] |
float32 |
Global standard deviations aligned with the variable order |
fields.attrs["variables"] contains the names of 96 variables, and fields.attrs["time_step"] is 24. The detailed schema is provided in metadata/schema.yaml.
How to Use the Dataset
This dataset is compatible with the OneScience-Sugon/XiHe model.
Download the dataset:
hf download --dataset OneScience-Sugon/CMEMS --local-dir ./CMEMS
Official OneScience Information
| Platform | OneScience Main Repository | Skills Repository |
|---|---|---|
| Gitee | https://gitee.com/onescience-ai/onescience | https://gitee.com/onescience-ai/oneskills |
| GitHub | https://github.com/onescience-ai/OneScience | https://github.com/onescience-ai/oneskills |
Limitations and License
CMEMS follows an open data policy consistent with CC-BY-4.0 principles (official license agreement), and the dataset is licensed under CC-BY-4.0.