IMPUTATION OF MISSING DAILY RAINFALL DATA USING CONVOLUTIONAL NEURAL NETWORKS (CNN) WITH SPATIAL INTERPOLATION

Accurate rainfall estimation is crucial in climate analysis and water resource planning. Observational data from weather stations play a vital role in climatological analysis as they represent actual conditions at specific locations. However, many observation stations in Indonesia need more complete...

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Bibliographic Details

Published in:	Barekeng
Main Authors:	Lilis Sriwahyuni, Sri Nurdiati, Endar Hasafah Nugrahani, Ihwan Sukmana, Mohamad Khoirun Najib
Format:	Article
Language:	English
Published:	Universitas Pattimura 2025-09-01
Subjects:	convolutional neural network imputation missing data interpolation spline machine learning mean absolute error
Online Access:	https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/18239