Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection

Precipitation forecasting is crucial in Canada's Maritime provinces, given their unique geography and susceptibility to precipitation impacts. Accurate forecasts aid farmers, transportation authorities, and climate change adaptation efforts, ecosystems, and infrastructure. This study introduces...

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Bibliographic Details

Published in:	Ecological Informatics
Main Authors:	Mehdi Jamei, Mumtaz Ali, Masoud Karbasi, Aitazaz A. Farooque, Saad Javed Cheema, Gurjit S. Randhawa, Syed Zubair Habib Gilani, Zaher Mundher Yaseen
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Subjects:	Precipitation Forecasting Successive variational mode decomposition Graph feature selection Recursive LSTM
Online Access:	http://www.sciencedirect.com/science/article/pii/S1574954125004777