中科天机公里级融合数据集2025年华中区域

# 中科天机公里级融合数据 - 2025年华中区域历史数据集

## 1. 数据集简介
本数据集依托中科天机全球-区域一体化数值天气模式生成，采用 **“全球自由变焦”** 核心技术，对中国区域进行聚焦网格加密。在不增加总网格点和计算量的前提下，实现了 **0.025°（约2.5公里）** 的高分辨率输出。

数据集提供2025年中国华中区域，包括辐射、温度、降水、风速、湿度、气压等 9 项核心要素的历史模拟数据，满足新能源、电力、水利、农业等行业对精细化气象信息的需求。该数据集可提供10天逐小时气象模拟。

如需获取更多要素或实时更新的模拟数据集，欢迎访问 [天机官网](https://www.tjweather.com/info/Download)。

## 2. 数据格式与规范
* **文件格式**：NetCDF (.nc)
* **空间范围**：华中区域 (网格大小: 332 x 468，
经度范围：grid_xt : 108.2125 to 116.4875 °E，
纬度范围：grid_yt : 24.7125 to 36.3875°N)
* **空间分辨率**：0.025° (~2.5km)
* **时间分辨率**：逐小时 (Hourly)
* **路径规则**：/tjweather/tjweather_TJ-CN_2025_huazhong/{月份}/{起报时次}/{预报分日时间}/变量名.nc
*示例：2025年12月1日00z起报的预报第二日的辐照度数据路径：/tjweather/tjweather_TJ-CN_2025_huazhong/12/2025120100/2025120200/DSWRFsfc.nc*

## 3. 数据要素清单

| 文件名 | 物理含义 | 单位 |
| :--- | :--- | :--- |
| **DSWRFsfc.nc** | 向下短波辐射 (辐照度) | $W/m^2$ |
| **PRATEsfc.nc** | 总降水率 | $kg/m^2/s$ |
| **psz.nc** | 地表气压 | $Pa$ |
| **rh2m.nc** | 2米相对湿度 | % |
| **t2mz.nc** | 2米气温 | $K$ |
| **UGRD10m.nc** | 10米纬向风 (U) | $m/s$ |
| **VGRD10m.nc** | 10米经向风 (V) | $m/s$ |
| **u100m.nc** | 100米纬向风 (U) | $m/s$ |
| **v100m.nc** | 100米经向风 (V) | $m/s$ |

## 4. 下载方法及使用方法
数据集文件元信息以及数据文件，请浏览“数据集文件”页面获取。

下载方法请参照 [官方说明](https://www.modelscope.cn/docs/datasets/download)

netCDF4数据文件使用方法请参考 [天机netCDF4数据文件格式介绍](https://www.tjweather.com/info/doc/datause/netcdf4-readme.html)

# Zhongke Tianji Kilometer-scale Fusion Dataset - 2025 Central China Regional Historical Dataset

## 1. Dataset Introduction
This dataset is generated based on the Zhongke Tianji Global-Regional Integrated Numerical Weather Prediction (NWP) model, adopting the core technology of "Global Free Zoom" to perform focused grid refinement over China. Without increasing the total number of grid points and computational load, it achieves high-resolution output of 0.025° (approximately 2.5 km).

This dataset provides historical simulation data of 9 core meteorological elements (including radiation, temperature, precipitation, wind speed, humidity, atmospheric pressure, etc.) for the Central China region in 2025, meeting the demands of industries such as new energy, power, water conservancy, and agriculture for refined meteorological information. It supports 10-day hourly meteorological simulations.

For more elements or real-time updated simulation datasets, please visit the [official Tianji Weather website](https://www.tjweather.com/info/Download).

## 2. Data Format and Specifications
* **File Format**: NetCDF (.nc)
* **Spatial Extent**: Central China region (Grid size: 332 x 468; Longitude range: grid_xt: 108.2125 to 116.4875 °E; Latitude range: grid_yt: 24.7125 to 36.3875 °N)
* **Spatial Resolution**: 0.025° (~2.5 km)
* **Temporal Resolution**: Hourly
* **Path Rule**: /tjweather/tjweather_TJ-CN_2025_huazhong/{month}/{initialization time}/{forecast date time}/variable_name.nc
*Example: The path of downward shortwave radiation data for the second forecast day initialized at 00Z on December 1, 2025: /tjweather/tjweather_TJ-CN_2025_huazhong/12/2025120100/2025120200/DSWRFsfc.nc*

## 3. Data Element List
| Filename | Physical Meaning | Unit |
| :--- | :--- | :--- |
| **DSWRFsfc.nc** | Downward Shortwave Radiation (Irradiance) | $W/m^2$ |
| **PRATEsfc.nc** | Total Precipitation Rate | $kg/m^2/s$ |
| **psz.nc** | Surface Atmospheric Pressure | $Pa$ |
| **rh2m.nc** | 2-meter Relative Humidity | % |
| **t2mz.nc** | 2-meter Air Temperature | $K$ |
| **UGRD10m.nc** | 10-meter Zonal Wind (U Component) | $m/s$ |
| **VGRD10m.nc** | 10-meter Meridional Wind (V Component) | $m/s$ |
| **u100m.nc** | 100-meter Zonal Wind (U Component) | $m/s$ |
| **v100m.nc** | 100-meter Meridional Wind (V Component) | $m/s$ |

## 4. Download and Usage Methods
Metadata and data files of the dataset can be obtained via the "Dataset Files" page.

For download methods, please refer to the [official guidelines](https://www.modelscope.cn/docs/datasets/download).

For guidance on using netCDF4 data files, please refer to the [Tianji Weather netCDF4 Data File Format Introduction](https://www.tjweather.com/info/doc/datause/netcdf4-readme.html)

搜集汇总

背景与挑战

背景概述

该数据集基于CAS-TJ全球区域集成数值天气预报模型生成，采用全球自适应聚焦网格细化技术，在华中区域实现了0.025°（约2.5公里）的高空间分辨率，提供2025年历史模拟数据。数据集包含辐射、温度、降水、风速等9个关键气象变量的每小时数据，旨在满足可再生能源、电力、水资源和农业等行业对高分辨率气象信息的需求。