环境空气质量预测数据（国控站）

天融环境大模型，基于全国高密度大气污染监测网络、ERA5大气再分析数据及多源异构数据资源，依托华为盘古科学计算大模型技术底座，预测输出未来7日国控站点环境空气质量状况。
实现预测周期由3日延长至7日；时空分辨率提升至3公里×3公里；PM2.5/PM10预测准确率提升幅度超过10个百分点；推理时长由10小时缩减至25分钟，可广泛应用于环境管理与执法、城市规划与建设、工业与交通、公众服务等领域。
时间范围及分辨率：未来7日国控站环境空气质量小时数据
空间范围及分辨率：全国国控站点
指标参数：PM2.5、PM10、SO2、NO2、CO、O3浓度、空气质量指数（AQI）、空气质量等级、首要污染物等
数据提供方式：可直接提供数据集，也支持通过接口获取，也可存储为库表形式，满足多样化应用需求。

Tianrong Environmental Large Model, which leverages the national high-density air pollution monitoring network, ERA5 atmospheric reanalysis data and multi-source heterogeneous data resources, and is built on the Huawei Pangu scientific computing large model technology infrastructure, predicts and outputs the ambient air quality conditions of national-controlled monitoring sites over the next 7 days.

This model extends the prediction cycle from 3 days to 7 days, upgrades the spatiotemporal resolution to 3 km × 3 km, improves the prediction accuracy of PM2.5/PM10 by more than 10 percentage points, and reduces the inference time from 10 hours to 25 minutes. It can be widely applied to fields such as environmental management and law enforcement, urban planning and construction, industry and transportation, and public services.

Time scope and resolution: Hourly ambient air quality data of national-controlled monitoring sites in the next 7 days
Spatial scope and resolution: All national-controlled monitoring sites across China
Indicator parameters: Concentrations of PM2.5, PM10, SO2, NO2, CO, O3, Air Quality Index (AQI), air quality grade, primary pollutants, and other relevant indicators
Data provision methods: Direct dataset provision, interface-based access, and storage in the form of database tables, to meet diverse application requirements.