Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness

Due to the rapidly changing climate conditions, precipitation nowcasting poses a daunting challenge because it is impossible to make accurate short-term forecasts due to the rapid fluctuations in weather conditions. There are limitations to traditional methods of forecasting precipitation, such as t...

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Bibliographic Details

Published in:	International Journal of Applied Earth Observations and Geoinformation
Main Authors:	Md. Jalil Piran, Xiaoding Wang, Ho Jun Kim, Hyun Han Kwon
Format:	Article
Language:	English
Published:	Elsevier 2024-08-01
Subjects:	Precipitation nowcasting Transformer-based generative model Radar reflective data ConvLSTM cGAN U-net
Online Access:	http://www.sciencedirect.com/science/article/pii/S1569843224003169