A Hierarchical Model for the Analysis of Spatial Rainfall Extremes
In this article, we propose a spatial model for analyzing extreme rainfall values over the Triveneto region (Italy). We assess the existence of a long-term trend in the extremes. To integrate data coming from the different stations, we propose a hierarchical model. At the first level, for each monit...
Veröffentlicht in: | Journal of Agricultural, Biological, and Environmental Statistics. - Springer Science + Business Media. - 12(2007), 4, Seite 434-449 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2007
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Zugriff auf das übergeordnete Werk: | Journal of Agricultural, Biological, and Environmental Statistics |
Schlagworte: | Extreme value theory MCMC Rainfall data Random fields Trend Environmental studies Information science Applied sciences Physical sciences Mathematics |
Zusammenfassung: | In this article, we propose a spatial model for analyzing extreme rainfall values over the Triveneto region (Italy). We assess the existence of a long-term trend in the extremes. To integrate data coming from the different stations, we propose a hierarchical model. At the first level, for each monitoring station we model data by making use of a generalized extreme value distribution; at the second level, we combine results from the first stage by exploiting recent advances in modeling nonstationary spatial random fields. |
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ISSN: | 15372693 |