Data-driven novel deep learning applications for the prediction of rainfall using meteorological data

Rainfall plays an important role in maintaining the water cycle by replenishing aquifers, lakes, and rivers, supporting aquatic life, and sustaining terrestrial ecosystems. Accurate prediction is crucial given the intricate interplay of atmospheric and oceanic phenomena, especially amidst contempora...

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Bibliographic Details

Published in:	Frontiers in environmental science Vol. 12
Main Authors:	Li, Hongli, Li, Shanzhi, Ghorbani, Hamzeh
Format:	Journal Article
Language:	English
Published:	Frontiers Media S.A 16.08.2024
Subjects:	deep learning mode DLSTM meteorological parameters rainfall modeling rainfall predicting
ISSN:	2296-665X, 2296-665X
Online Access:	Get full text
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