西南山地气象雷达实况数据集

本数据集为西南山地雷达组合反射率因子图片集，基于多源雷达站数据构建，经过去噪滤波、辐射校正、几何校正、地形校正等数据质量清洗，规格不低于 768×1024 像素，可直观反映云层厚度、高度及强对流天气发展态势。该数据集结合强对流天气实况数据，可用于训练AI模型，预测暴雨、冰雹、大风等灾害性天气的发生区域与强度。

This dataset is a collection of radar composite reflectivity factor images for the Southwest Mountainous Region. It is constructed using multi-source radar station data, and has undergone data quality cleaning procedures including denoising filtering, radiometric correction, geometric correction, and topographic correction. The image resolution is no less than 768×1024 pixels, which can intuitively reflect cloud thickness, altitude, and the development trend of severe convective weather. Combined with in-situ severe convective weather observation data, this dataset can be used to train AI models to predict the occurrence areas and intensities of catastrophic weather such as rainstorms, hail, and strong winds.