Machine Learning-Based Lightning Events Prediction in the Third Pole Region, using the ISS-LIS satellite data and corresponding ICON-CLM simulation.

The dataset comprises lightning event records captured by the Lightning Imaging Sensor (LIS) onboard the International Space Station (ISS) over the Third Pole region, spanning the period from October 2019 to September 2022. It has been prepared for machine learning applications focused on lightning prediction. The dataset includes the tabularized output of the ISS-LIS retrieval algorithm, detailing the extraction process of spatial and temporal lightning occurrences. Additionally, the methodology used to train six structurally distinct machine learning models is documented, offering a comprehensive framework for replicating and extending the analysis.本数据集收录了搭载于国际空间站（International Space Station, ISS）的闪电成像传感器（Lightning Imaging Sensor, LIS）在第三极区域捕获的闪电事件记录，时间跨度为2019年10月至2022年9月，专为闪电预测方向的机器学习应用所构建。数据集包含ISS-LIS反演算法的表格化输出结果，详细记录了闪电事件的时空出现情况提取流程。此外，数据集还记录了用于训练6种结构各异的机器学习模型的完整方法体系，可为相关分析的复现与拓展提供全面的研究框架。