Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting

• Published in: Journal of hydroinformatics Vol. 26; no. 3; pp. 589 - 607
• Main Authors: Baydaroğlu, Özlem, Demir, Ibrahim
• Format: Journal Article
• Language: English
• Published: IWA Publishing 01.03.2024
• Subjects: data augmentation; deep learning; flood; interpolation; nowcasting; rainfall

The significance of improving rainfall prediction methods has escalated due to climate change-induced flash floods and severe flooding. In this study, rainfall nowcasting has been studied utilizing NASA Giovanni satellite-derived precipitation products and the convolutional long short-term memory (C...