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...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	Xiongwei Ma, Yunzheng Huang, Qi Zhang, Bao Zhang, Xin Gao, Qingzhi Zhao, Xiaohu Lin, Chaoqian Xu, Yibin Yao
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2026-01-01
Reeks:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Onderwerpen:	Convolutional long short-term memory network (ConvLSTM) empirical model precipitable water vapor (PWV) troposphere
Online toegang:	https://ieeexplore.ieee.org/document/11315840/
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!