An event-oriented database of meteorological droughts in Europe based on spatio-temporal clustering

• 全文链接

基于时空聚类以事件导向的的欧洲气象干旱数据库

关键词：

来源：

Scientific Reports

全文链接：

//agri.nais.net.cn/topic/downloadFile/a4925349-7de9-4486-9018-698376c4e768

来源地址：

https://www.nature.com/articles/s41598-023-30153-6

资源所属：

农业与资源环境信息工程专题

类型：

学术文献

语种：

英语

原文发布日期：

2023-01-23

摘要：

Droughts evolve in space and time without following borders or pre-determined temporal constraints. Here, we present a new database of drought events built with a three-dimensional density-based clustering algorithm. The chosen approach is able to identify and characterize the spatio-temporal evolution of drought events, and it was tuned with a supervised approach against a set of past global droughts characterized independently by multiple drought experts. About 200 events were detected over Europein the period 1981-2020 using SPI-3 (3-month cumulated Standardized Precipitation Index) maps derived from the ECMWF (European Centre for Medium-range Weather Forecasts) 5th generation reanalysis (ERA5) precipitation. The largest European meteorological droughts during this period occurred in 1996, 2003, 2002 and 2018. A general agreement between the major events identified by the algorithm and drought impact records was found, as well as with previous datasets based on pre-defined regions.