A global catalogue of spatiotemporal drought events derived from multivariate hydrological data
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This dataset contains a global catalogue of spatiotemporally clustered drought events spanning 1980–2024, identified using a three-dimensional implementation of the DBSCAN algorithm. The catalogue is based on daily data using four hydroclimatic variables:precipitation, potential evapotranspiration, soil moisture, and surface runoff. This dataset corresponds to a manuscript, which is submitted to the Scientific Data, collection on Droughts. Stovicek et al, 2025: A global catalogue of spatiotemporal drought events derived from multivariate hydrological data
本数据集收录了1980—2024年间的全球时空聚类干旱事件（spatiotemporally clustered drought events）目录，该目录通过DBSCAN算法（Density-Based Spatial Clustering of Applications with Noise）的三维实现方案识别生成。该目录基于每日尺度的四类水文气候变量构建，所用变量分别为降水、潜在蒸散量、土壤湿度与地表径流。 本数据集关联一篇已投稿至《Scientific Data》干旱专题的研究稿件。 Stovicek等人，2025年：基于多变量水文数据构建的全球时空干旱事件目录
