Accurate Rainfall Prediction Using GNSS PWV Based on Pre-Trained Transformer Model

Accurate Rainfall Prediction Using GNSS PWV Based on Pre-Trained Transformer Model

With an increase in the intensity and frequency of extreme rainfall events, there is a pressing need for accurate rainfall nowcasting applications. In recent years, precipitable water vapor (PWV) data obtained from GNSS observations have been widely used in rainfall prediction. Unlike previous studi...

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Bibliographic Details
Main Authors: Wenjie Yin, Chen Zhou, Yuan Tian, Hui Qiu, Wei Zhang, Hua Chen, Pan Liu, Qile Zhao, Jian Kong, Yibin Yao
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Remote Sensing
Subjects:
rainfall prediction
deep learning
transfer learning
Global Navigation Satellite System (GNSS)
precipitable water vapor (PWV)
Online Access:https://www.mdpi.com/2072-4292/17/12/2023
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