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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Bibliografische Detailangaben

Hauptverfasser:	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:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-05-01
Schriftenreihe:	Frontiers in Earth Science
Schlagworte:	monthly precipitation machine learning autoregressive models statistical analysis rainy season
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/feart.2025.1576377/full
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