A Bernoulli-Gamma hierarchical Bayesian model for daily rainfall forecasts

We consider stochastic weather models originally developed for rainfall simulations to build a hierarchical Bayesian mixture model for daily rainfall forecasts using endogenous and external information. We model daily rainfall as a seasonal-varying mixture of a Bernoulli distribution for rainfall oc...

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Main Authors: Lima, Carlos Henrique Ribeiro, Kwon, Hyun-Han, Kim, Yong-Tak
Format: Artigo
Language: Inglês
Published: Elsevier B.V. 2021
Subjects:
Online Access: https://repositorio.unb.br/handle/10482/41161
https://doi.org/10.1016/j.jhydrol.2021.126317
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