SMVI Global Flash Droughts Dataset

We present a global dataset of flash drought events, meticulously compiled using the Soil Moisture Volatility Index (SMVI), a cutting-edge tool initially applied within the United States. This dataset marks a significant expansion of the SMVI methodology to a global context, offering an essential resource for comprehensively understanding and predicting rapidly evolving drought phenomena. Characterized by detailed information on the onset, duration, and severity of each event, the dataset covers a wide array of climatic zones, thus providing a diverse and inclusive global perspective. A key feature of this dataset is the integration of atmospheric variables, which sheds light on the meteorological factors driving and influencing flash droughts. Such integration allows for an in-depth exploration of the complex interplay between soil moisture and atmospheric conditions, enhancing our understanding of drought dynamics.我们构建了一套全球骤发干旱事件数据集，该数据集依托土壤湿度波动率指数（Soil Moisture Volatility Index，SMVI）精心整编而成——这一前沿工具最初仅应用于美国境内。本数据集实现了SMVI方法体系在全球尺度的重要拓展，为全面认知并预测快速演进的干旱现象提供了不可或缺的研究资源。该数据集详细记录了每起骤发干旱事件的发生起始时间、持续时长与严重程度，覆盖了多样气候带，进而提供了兼具多元化与包容性的全球研究视角。本数据集的一项核心特征是整合了大气变量数据，借此可揭示驱动与影响骤发干旱的气象因子。这类整合工作能够支持对土壤湿度与大气状况间复杂相互作用的深入探究，进而深化对干旱动力学机制的认知。