Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada

نویسندگان

چکیده

This paper proposes a smooth copula-based Generalized Extreme Value (GEV) model to map and predict extreme rainfall in Central Eastern Canada. The considered data contains large portion of missing values, one observes several nonconcomitant record periods at different stations. proposed two-step approach combines GEV parameters' functions space through the use spatial covariates flexible hierarchical take into account dependence between recording copula structure is detected via clustering algorithm implemented with an adapted version dissimilarity measure recently introduced literature. Finally, we compare classical parameter interpolation approaches modeling approach.

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ژورنال

عنوان ژورنال: Environmetrics

سال: 2023

ISSN: ['1180-4009', '1099-095X']

DOI: https://doi.org/10.1002/env.2795