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Geoadditive modeling for extreme rainfall data

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  • Chiara Bocci
  • Enrica Caporali
  • Alessandra Petrucci

Abstract

Extreme value models and techniques are widely applied in environmental studies to define protection systems against the effects of extreme levels of environmental processes. Regarding the matter related to the climate science, a certain importance is covered by the implication of changes in the hydrological cycle. Among all hydrologic processes, rainfall is a very important variable as it is strongly related to flood risk assessment and mitigation, as well as to water resources availability and drought identification. We implement here a geoadditive model for extremes assuming that the observations follow a generalized extreme value distribution with spatially dependent location. The analyzed territory is the catchment area of the Arno River in Tuscany in Central Italy. Copyright Springer-Verlag 2013

Suggested Citation

  • Chiara Bocci & Enrica Caporali & Alessandra Petrucci, 2013. "Geoadditive modeling for extreme rainfall data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(2), pages 181-193, April.
    • Handle: RePEc:spr:alstar:v:97:y:2013:i:2:p:181-193
    DOI: 10.1007/s10182-012-0192-7
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    References listed on IDEAS

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    Cited by:

    1. Alejandro Ivan Aguirre-Salado & Carlos Arturo Aguirre-Salado & Ernesto Alvarado & Alicia Santiago-Santos & Guillermo Arturo Lancho-Romero, 2020. "On the Smoothing of the Generalized Extreme Value Distribution Parameters Using Penalized Maximum Likelihood: A Case Study on UVB Radiation Maxima in the Mexico City Metropolitan Area," Mathematics, MDPI, vol. 8(3), pages 1-17, March.
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