Wind storm classification database

This database presents classified wind gust events for all Australian Automatic Weather Stations, based on semi-automatic classification of 1-minute observations of wind gust speed, temperature, dew point and station pressure. Wind events are classified based on the temporal evolution of the weather variables, using convolutional kernel transforms. Additional attributes include a number of derived variables (e.g. rainfall preceding and following the gust event), contemporaneous weather phenomena and binary classifications from a range of authors. The main classification is described by Arthur, Hu and Allen (submitted to Natural Hazards, 2024). Weather observation data are provided by the Bureau of Meteorology. Lightning data (2004-2024) was provided by TOA Systems Global Lightning Network.本数据库针对澳大利亚所有自动气象站的阵风事件开展分类标注，其基于对1分钟频次的阵风风速、气温、露点温度以及本站气压观测数据的半自动分类流程。阵风事件的分类依据气象变量的时间演变特征，采用卷积核变换方法实现。该数据集包含多项衍生变量（例如阵风事件前后的降雨量）、同期天气现象，以及来自多位研究者的二分类标注结果。本次分类的核心方法由Arthur、Hu与Allen在2024年提交至《自然灾害（Natural Hazards）》期刊的研究中详细说明。气象观测数据由澳大利亚气象局（Bureau of Meteorology）提供；2004年至2024年的闪电数据则由TOA系统全球闪电网络（TOA Systems Global Lightning Network）提供。