PWVFnet: A Short-Time Troposphere PWV Forecast Model Combined Empirical Models and Spatiotemporal ConvLSTM Network

Precipitable water vapor (PWV) plays a crucial role in extreme weather forecasting, early warning, and correcting signal delays for satellite earth observations. To obtain future PWV information, a short-time troposphere PWV forecast model combined empirical model and spatiotemporal convolutional lo...

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Κύριοι συγγραφείς:	Xiongwei Ma, Yunzheng Huang, Qi Zhang, Bao Zhang, Xin Gao, Qingzhi Zhao, Xiaohu Lin, Chaoqian Xu, Yibin Yao
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2026-01-01
Σειρά:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Θέματα:	Convolutional long short-term memory network (ConvLSTM) empirical model precipitable water vapor (PWV) troposphere
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/11315840/
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