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

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 19

SUBMITTER: Cammalleri C 

PROVIDER: S-EPMC9950368 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature