Ernst Jakob, Stojanovic Milica, Sorí Rogert
Environmental Physics Laboratory (EPhysLab), Centro de Investigación Mariña, Universidade de Vigo, Campus As Lagoas s/n, Ourense 32004, Spain.
Data Brief. 2025 Jun 18;61:111807. doi: 10.1016/j.dib.2025.111807. eCollection 2025 Aug.
Dry and wet spells are among the most dangerous environmental phenomena worldwide, with a documented rise in both frequency and severity in recent decades. Austria is no exception to this trend. This study presents a long-term, high-resolution multi-drought indices dataset for Austria to enhance drought and wet period monitoring and impact assessment. The dataset includes six established drought indices: the Standardised Precipitation Index (SPI), the Standardised Precipitation-Evapotranspiration Index (SPEI), the self-calibrating Palmer Drought Severity Index (scPDSI), the Reconnaissance Drought Index (RDI), the modified Reconnaissance Drought Index (RDI), and the Vapour Pressure Deficit (VPD). These indices are calculated monthly for the period 1950 - 2023, using Reanalysis ERA5-Land data with a horizontal resolution of 0.1°. The multiscale indices are calculated over different timescales (1 to 48 months), providing a comprehensive view of hydroclimatic variability and representing various drought types (meteorological, agricultural, and hydrological). The data are available in diverse formats, allowing for flexible spatial and temporal analyses. The 2003 drought event, one of the most severe in Austria's recent history, serves as an example to illustrate the performance and consistency of the indices. This dataset is valuable for trend detection, drought frequency analysis, and model validation. It can support researchers, planners, and policymakers in climate impact studies, early warning systems, and resource management. The data are freely accessible, promoting reproducible research in drought monitoring across Austria.
干湿期是全球最危险的环境现象之一，近几十年来，其发生频率和强度都有记录在案的上升。奥地利也不例外。本研究展示了一个针对奥地利的长期、高分辨率多干旱指数数据集，以加强干旱和湿润期监测及影响评估。该数据集包括六个既定的干旱指数：标准化降水指数（SPI）、标准化降水-蒸散指数（SPEI）、自校准帕尔默干旱严重度指数（scPDSI）、勘测干旱指数（RDI）、改良勘测干旱指数（RDI）以及水汽压亏缺（VPD）。这些指数是利用水平分辨率为0.1°的再分析ERA5-Land数据，针对1950 - 2023年期间按月计算得出的。多尺度指数是在不同时间尺度（1至48个月）上计算得出的，全面呈现了水文气候变异性，并代表了各种干旱类型（气象干旱、农业干旱和水文干旱）。数据以多种格式提供，便于进行灵活的时空分析。2003年的干旱事件是奥地利近代史上最严重的干旱事件之一，以此为例来说明这些指数的性能和一致性。该数据集对于趋势检测、干旱频率分析和模型验证具有重要价值。它能够支持研究人员、规划者和政策制定者开展气候影响研究、预警系统和资源管理工作。这些数据可免费获取，有助于在奥地利全境开展可重复的干旱监测研究。
