Multivariable modelling based on statistical and machine learning techniques for monthly precipitation forecasting in the eastern Amazon

Multivariable modelling based on statistical and machine learning techniques for monthly precipitation forecasting in the eastern Amazon

BackgroundAccurate precipitation forecasting is crucial for various sectors, such as agriculture, hydrology, and disaster management. In recent years, machine learning (ML) techniques have proven invaluable in improving the accuracy of rainfall prediction and identifying the complex relationships be...

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Main Authors: Renata Gonçalves Tedeschi, Eduardo Costa de Carvalho, Antonio Vasconcelos Nogueira Neto, Claudia Priscila Wanzeler da Costa, Julio Cezar Goncalves de Freitas, Rafael de Lima Rocha, Ronnie Cley de Oliveira Alves, Ewerton Cristhian Lima de Oliveira
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Earth Science
Subjects:
monthly precipitation
machine learning
autoregressive models
statistical analysis
rainy season
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2025.1576377/full
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https://www.frontiersin.org/articles/10.3389/feart.2025.1576377/full

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