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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Veröffentlicht in:	Knowledge-based systems Jg. 306; S. 112679
Hauptverfasser:	Rudrappa, Gujanatti, Vijapur, Nataraj
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 20.12.2024
Schlagworte:	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-Zugang:	Volltext
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