Swiss Storm-Object Dataset for ML-Based Hail Detection: Polarimetric Radar Predictors and Crowdsourced Labels (2020–2024)

This dataset contains a set of object-based predictors derived from operational C-band polarimetric weather radar data in Switzerland, matched with ground-truth hail labels derived from crowdsourced reports. The predictors are calculated for storm cells identified and tracked by the Thunderstorms Radar Tracking (TRT) algorithm. This dataset was generated to support the development of machine learning models for hail detection and hail size estimation. The dataset covers convective storm activity over Switzerland and a 50-km buffer zone around its borders for the years 2020–2024.本数据集包含一组基于单体的预测因子，其数据来源于瑞士业务运行的C波段偏振气象雷达，并与源自众包报告的实测冰雹标签完成匹配。这些预测因子针对由雷暴雷达追踪（Thunderstorms Radar Tracking, TRT）算法识别并追踪的雷暴单体计算得出。本数据集的构建旨在支撑冰雹检测与冰雹尺寸估算相关机器学习模型的研发工作。 该数据集覆盖了2020年至2024年间瑞士全境及其边境周边50公里缓冲区内的对流风暴活动。