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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Vydané v:	Knowledge-based systems Ročník 306; s. 112679
Hlavní autori:	Rudrappa, Gujanatti, Vijapur, Nataraj
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 20.12.2024
Predmet:	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
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