Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection

Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection

Heatwaves (HWs) are extreme atmospheric events that produce significant societal and environmental impacts. Predicting these extreme events remains challenging, as their complex interactions with large-scale atmospheric and climatic variables are difficult to capture with traditional statistical and...

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Main Authors: J. Pérez-Aracil, C. Peláez-Rodríguez, Ronan McAdam, Antonello Squintu, Cosmin M. Marina, Eugenio Lorente-Ramos, Niklas Luther, Verónica Torralba, Enrico Scoccimarro, Leone Cavicchia, Matteo Giuliani, Eduardo Zorita, Felicitas Hansen, David Barriopedro, Ricardo García-Herrera, Pedro A. Gutiérrez, Jürg Luterbacher, Elena Xoplaki, Andrea Castelletti, S. Salcedo-Sanz
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Weather and Climate Extremes
Subjects:
Heatwaves
Spatio-temporal optimization
Large-scale drivers
Cluster-based feature selection
Multi-method ensembles
Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2212094725000507
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