DRN-DSA: A hybrid deep learning network model for precipitation nowcasting using time series data

Precipitation nowcasting involves short-term weather forecasting, predicting rain or snow within the next two hours. By analyzing current atmospheric conditions, it aids meteorologists in identifying weather patterns and preparing for severe events such as flooding. These nowcasts are typically disp...

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Bibliographic Details

Published in:	Knowledge-based systems Vol. 306; p. 112679
Main Authors:	Rudrappa, Gujanatti, Vijapur, Nataraj
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 20.12.2024
Subjects:	Deep Learning (DL) Deep Residual Network (DRN) Deep Stacked Autoencoder (DSA) Precipitation Nowcasting time series data Deep Residual Network (DRN) time series data Deep Learning (DL) Precipitation Nowcasting Deep Stacked Autoencoder (DSA)
ISSN:	0950-7051
Online Access:	Get full text
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