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README.md

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 ---
 license: cc-by-4.0
+#User-Defined Tags
+tags:
+  - ERA5
+  - climate
+  - weather forecast
+language:
+  - en
+  - zh
 ---
+<p align="center">
+  <strong>
+    <span style="font-size: 30px;">ERA5</span>
+  </strong>
+</p>
+
+## Dataset Description
+ERA5 is the fifth-generation global atmospheric reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts (ECMWF). By combining global observations with physical models, it provides consistent and comprehensive global estimates of hourly, high-resolution (approximately 31 km) climate variables covering the atmosphere, land, and ocean from 1940 to the present.
+
+## Supported Tasks
+This standardized data repository provides annual HDF5 files for 1979-2025. Each file contains multivariable atmospheric gridded fields, along with global means and standard deviations aligned with the variable order, and can be used by multiple weather models for training, inference data loading, evaluation, and visualization.
+
+
+## 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` | `[T, 243, 721, 1440]` | `float32` | Multivariable gridded fields; variable names are stored in `fields.attrs["variables"]` |
+| `global_means` | `[1, 243, 1, 1]` | `float32` | Global means aligned with the variable order |
+| `global_stds` | `[1, 243, 1, 1]` | `float32` | Global standard deviations aligned with the variable order |
+
+`fields.attrs["time_step"]` is 6, indicating 6-hour intervals. The detailed schema is provided in `metadata/schema.yaml`.
+
+`./static/` contains common static variables such as terrain and land-sea masks.
+
+
+## How to Use the Dataset
+This dataset is suitable for multiple weather models in the `OneScience-Sugon` repository, including but not limited to GraphCast, FengWu, Fuxi, and Pangu_Weather.
+
+Download the dataset:
+
+```bash
+hf download --dataset OneScience-Sugon/ERA5  --local-dir ./data
+```
+
+
+## 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
+
+This dataset was converted from the original ECMWF ERA5 data and uses the same ECMWF CC-BY-4.0 license.

README_zh.md

@@ -0,0 +1,59 @@
+---
+license: CC-BY-4.0
+#用户自定义标签
+tags:
+  - ERA5
+  - climate
+  - weather forecast
+language:
+  - en
+  - zh
+---
+<p align="center">
+  <strong>
+    <span style="font-size: 30px;">ERA5</span>
+  </strong>
+</p>
+
+## 数据集描述
+ERA5是欧洲中期天气预报中心（ECMWF）推出的第五代全球大气再分析数据集，它通过将全球观测数据与物理模型相结合，提供了从1940年至今、覆盖大气、陆地和海洋的每小时、高分辨率（约31公里）气候变量的一致且完整的全球估算数据
+
+## 数据集支持的任务
+本标准化数据仓库整理了 1979-2025 年年度 HDF5 文件，每个文件包含多变量大气格点场以及与变量顺序对齐的全局均值和标准差，可被多个气象模型用于训练、推理数据读取、评测和可视化。
+
+
+## 数据集的格式和结构
+
+每个年度文件为 HDF5，路径模式为 `data/<year>.h5`。文件内包含：
+
+| HDF5 路径 | shape | dtype | 说明 |
+|---|---|---|---|
+| `fields` | `[T, 243, 721, 1440]` | `float32` | 多变量格点场，变量名在 `fields.attrs["variables"]` |
+| `global_means` | `[1, 243, 1, 1]` | `float32` | 与变量顺序对齐的全局均值 |
+| `global_stds` | `[1, 243, 1, 1]` | `float32` | 与变量顺序对齐的全局标准差 |
+
+`fields.attrs["time_step"]` 为 6，表示 6 小时间隔。详细 schema 在 `metadata/schema.yaml`。
+
+`./static/`内包含常见的静态变量，如地势、海陆掩码等。
+
+
+## 数据集使用方式
+本数据集适用于`OneScience-Sugon`仓库内多个气象模型，包括但不局限于GraphCast、FengWu、Fuxi、Pangu_Weather等。
+
+下载数据集：
+
+```bash
+hf download --dataset OneScience-Sugon/ERA5  --local-dir ./data
+```
+
+
+## OneScience 官方信息
+
+| 平台 | OneScience 主仓库 | Skills 仓库 |
+|---|---|---|
+| 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 |
+
+## 限制与许可证
+
+本数据集基于ECMEF原始ERA5数据转换，许可证同ECMWF CC-BY-4.0。

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