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Hydrological Sciences Journal Volume 63, 2018 - Issue 6
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Articles

A Bayesian hierarchical spatio-temporal model for extreme rainfall in Extremadura (Spain)

J. A. GarcíaDepartamento de Física, Universidad de Extremadura, Badajoz, Spain;Instituto Universitario de Investigación del Agua, Cambio Climático y Sostenibilidad (IACYS), Universidad de Extremadura, Badajoz, SpainView further author information
,
J. MartínDepartamento de Matemáticas, Universidad de Extremadura, Badajoz, Spain;Instituto Universitario de Computación Científica Avanzada de Extremadura (ICCAEX), Universidad de Extremadura, Badajoz, SpainView further author information
,
L. NaranjoFacultad de Ciencias, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, MexicoView further author information
&
F. J. AceroDepartamento de Física, Universidad de Extremadura, Badajoz, Spain;Instituto Universitario de Investigación del Agua, Cambio Climático y Sostenibilidad (IACYS), Universidad de Extremadura, Badajoz, SpainCorrespondence[email protected]
View further author information
Pages 878-894 | Received 10 Apr 2017, Accepted 28 Feb 2018, Published online: 26 Apr 2018

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Saman Armal & Reza Khanbilvardi. (2019) Anomalies in the US precipitation extremes and their association with different modes of climate variability. Hydrological Sciences Journal 64:13, pages 1605-1615.
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Qianjin Dong, Xu Zhang, Upmanu Lall, Yan-Fang Sang & Ping Xie. (2019) An improved nonstationary model for flood frequency analysis and its implication for the Three Gorges Dam, China. Hydrological Sciences Journal 64:7, pages 845-855.
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Articles from other publishers (6)

Saqib Ur Rehman, Bilal Ahmed Usmani & Ian Simmonds. (2023) The separate roles played by the two geographical poles of the NAO in influencing winter precipitation over Spain. Journal of Atmospheric and Solar-Terrestrial Physics 245, pages 106054.
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J. Agustín García, Mario M. Pizarro, F. Javier Acero & M. Isabel Parra. (2021) A Bayesian Hierarchical Spatial Copula Model: An Application to Extreme Temperatures in Extremadura (Spain). Atmosphere 12:7, pages 897.
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Jacinto Martín, María Isabel Parra, Mario Martínez Pizarro & Eva L. Sanjuán. (2020) Baseline Methods for Bayesian Inference in Gumbel Distribution. Entropy 22:11, pages 1267.
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José del Carmen Jiménez-Hernández, Marisol López-Cerino & Alejandro Ivan Aguirre-Salado. (2020) A Bayesian Hierarchical Model for the Spatial Analysis of Carbon Monoxide Pollution Extremes in Mexico City. Mathematical Problems in Engineering 2020, pages 1-11.
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Lai Zheng, Tarek Sayed & Mohamed Essa. (2019) Bayesian hierarchical modeling of the non-stationary traffic conflict extremes for crash estimation. Analytic Methods in Accident Research 23, pages 100100.
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Saqib Ur Rehman, Bilal Ahmed Usmani & Ian Simmonds. (2022) The Physical Significance for Decomposing The Nao into the High and the Low. SSRN Electronic Journal.
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