Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Sancho Salcedo‐Sanz(Universidad de Alcalá), Andrea Castelletti(RFF-CMCC European Institute on Economics and the Environment), David Casillas-Pérez(Universidad Rey Juan Carlos), David Barriopedro(Universidad Complutense de Madrid), Ricardo García‐Herrera(Agencia Estatal de Meteorología), Matteo Giuliani(RFF-CMCC European Institute on Economics and the Environment), Christopher Kadow(German Climate Computing Centre), Dušan Fister(Universidad de Alcalá), Jorge Pérez‐Aracil(Universidad de Alcalá), Guido Ascenso(Politecnico di Milano), Javier Del Ser(Basque Center for Applied Mathematics)
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