A hybrid ensemble deep learning model for advanced time series rainfall forecasting using satellite data and climate variability analysis

Accurate rainfall prediction is important for climate adaptation, managing water resources, and planning for farming in dry areas and places where data is difficult to obtain. By collecting long-term data on precipitation from satellite sources Climate Hazards Group InfraRed Precipitation with Stati...

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Hlavní autoři:	Sarhad Baez Hasan, Shahab Wahhab Kareem, Enrico Tronci
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	KeAi Communications Co. Ltd. 2026-06-01
Edice:	Artificial Intelligence in Geosciences
Témata:	Rainfall forecasting Deep learning Stacking ensemble Time series Recurrent neural networks Satellite data
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S266654412600033X
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