A zenith wet delay improved model in China based on GPT3 and random forest

A zenith wet delay improved model in China based on GPT3 and random forest

Zenith wet delay (ZWD) is a key parameter for the precise positioning of global navigation satellite systems (GNSS) and occupies a central role in meteorological research. Currently, most models only consider the periodic variability of the ZWD, neglecting the effect of nonlinear factors on the ZWD...

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Bibliographic Details
Main Authors: Shaoni Chen, Chunhua Jiang, Xiang Gao, Huizhong Zhu, Shuaimin Wang, Guangsheng Liu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-07-01
Series:Geodesy and Geodynamics
Subjects:
Zenith wet delay
CRZWD model
GPT3
Random forest
Back propagation neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S1674984724001198
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