PALACIOS-RODRIGUEZ , Fatima

This paper proposes a smooth copula-based Generalized Extreme Value (GEV) model to map and predict extreme rainfall in central eastern Canada. Furthermore, we provide a comparison with different classical interpolation-based approaches. The considered data represents a station network particularly spatially sparse. Furthermore, one observes...

This paper proposes a smooth copula-based Generalized Extreme Value (GEV) model to map and predict extreme rainfall in central eastern Canada. Furthermore, we provide a comparison with different classical interpolation-based approaches. The considered data represents a station network particularly spatially sparse. Furthermore, one observes...