1. An event-oriented database of meteorological droughts in Europe based on spatio-temporal clustering.
- Author
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Cammalleri, Carmelo, Acosta Navarro, Juan Camilo, Bavera, Davide, Diaz, Vitali, Di Ciollo, Chiara, Maetens, Willem, Magni, Diego, Masante, Dario, Spinoni, Jonathan, and Toreti, Andrea
- Subjects
DROUGHT management ,METEOROLOGICAL databases ,DROUGHTS ,SPATIOTEMPORAL processes ,DATABASES - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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