EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module

EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module

In the field of weather forecasting, improving the accuracy of nowcasting is a highly researched topic, and radar echo extrapolation technology plays a crucial role in this process. Aiming to address the limitations of existing deep learning methods in radar echo extrapolation, this paper proposes a...

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Bibliographic Details
Main Authors:	Guangxin He, Wei Wu, Jing Han, Jingjia Luo, Lei Lei
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Remote Sensing
Subjects:	radar echo extrapolation deep learning long short-term memory networks short-term weather forecast
Online Access:	https://www.mdpi.com/2072-4292/17/6/1103
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