An Interpretable Ensemble Learning Framework for the Prediction of Hourly Ground-Level Ozone in Industrial Cities

Meteorological variables, including temperature, atmospheric pressure, relative humidity, wind speed, and wind direction, were obtained from the Liaoning Meteorological Monitoring Network. Boundary-layer height data were sourced from the ERA5 reanalysis dataset provided by the European Centre for Medium-Range Weather Forecasts (ECMWF).Hourly concentrations of air pollutants(PM2.5, PM10, SO2, CO and O3).The complete dataset spans the period from January 2020 to April 2025 and underwent rigorous preprocessing, including the removal of missing values, correction of anomalies, and standardization of data formats.本数据集所涵盖的气象参数（包含气温、大气压强、相对湿度、风速及风向）均采集自辽宁省气象监测网。边界层高度数据取自欧洲中期天气预报中心（European Centre for Medium-Range Weather Forecasts, ECMWF）提供的ERA5再分析数据集。此外还包含PM2.5、PM10、SO2、CO及O3等空气污染物的逐小时浓度数据。完整数据集的时间跨度为2020年1月至2025年4月，且经过了严格的预处理流程，包括缺失值剔除、异常值校正与数据格式标准化。