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OneScience-Group/CMEMS

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… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/CMEMS.

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Dataset Card

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-Group/XiHe model.

Download the dataset:

bash

hf download --dataset OneScience-Group/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.