On the spatio-temporal coherence of extreme precipitation indices in subtropical Argentina

This study evaluates the spatio-temporal coherence of regional extreme precipitation indices in subtropical Argentina (STAr) derived from rain gauge station data from 1991 to 2021. For the regionalization two machine learning clustering algorithms are used—Ward's method and K-means—and a novel stepw...

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Detalles Bibliográficos
Autores principales: Ricetti, Lorenzo, Hurtado, Santiago Ignacio, Agosta Scarel, Eduardo A.
Formato: info:ar-repo/semantics/artículo
Lenguaje:Inglés
Publicado: Elsevier 2025
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12123/22031
https://www.sciencedirect.com/science/article/abs/pii/S0169809525001747
https://doi.org/10.1016/j.atmosres.2025.108082

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