Rainfall modeling using latent Gaussian random fieldsan estimation method - Archive ouverte HAL
Article Dans Une Revue Annales de l'ISUP Année : 2015

Rainfall modeling using latent Gaussian random fieldsan estimation method

Résumé

We propose a method for estimating the parameters in a latent Gaussian field used for modeling daily rainfall. For the rainfall variable, a monotonie transformation is applied to achieve marginal normality, thus, defining a latent variable, with zéro rainfall values corresponding to censored values below a threshold. Methodology is presented for model estimation and validation illustrated using accumulated daily rainfall data from a network of 14 stations in the Southern Sweden. Performance of the model is judged through its ability to accurately reproduce a sériés of temporal and spatial dependence measures.
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hal-03604742 , version 1 (10-03-2022)

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  • HAL Id : hal-03604742 , version 1

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Anastassia Baxevani, Jan Lennartsson. Rainfall modeling using latent Gaussian random fieldsan estimation method. Annales de l'ISUP, 2015, 59 (1-2), pp.7-24. ⟨hal-03604742⟩

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