An event-oriented database of meteorological droughts in Europe based on spatio-temporal clustering
Carmelo Cammalleri (European Commission - Joint Research Centre, Politecnico di Milano)
Juan Camilo Acosta Navarro (European Commission - Joint Research Centre)
Davide Bavera (Arcadia sit, Vigevano)
Vitali Diaz (TU Delft - Digital Technologies)
Chiara Di Ciollo (Politecnico di Milano)
Willem Maetens (European Commission - Joint Research Centre)
Diego Magni (Arcadia sit, Vigevano)
Dario Masante (European Commission - Joint Research Centre)
Jonathan Spinoni (European Commission - Joint Research Centre)
Andrea Toreti (European Commission - Joint Research Centre)
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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.
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