An enhanced tropospheric fusion model based on China’s National continuously operating reference stations
This study introduces a multi-source data fusion model of the tropospheric delay over China and uses GNSS data, meteorological data, and Global Pressure and Temperature 2 wet (GPT2w) model data to derive the model coefficients. Fifty-one nationwide GNSS stations were selected to evaluate the accurac...
Saved in:
Main Authors: | Chaoqian Xu, Lihong Li, Junbo Shi, Ming Chen, Yibin Yao |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-01-01
|
Series: | Geo-spatial Information Science |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2024.2446309 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison of Tropospheric Horizontal Gradients Modeling Methods in LEO Constellation Augmented GNSS Precise Point Positioning
by: Xinyu Zhang, et al.
Published: (2025-01-01) -
Analysis of Spatiotemporal Properties and Modeling of the Nonisotropy of GNSS Tropospheric Slant Path Delay
by: Ying Xu, et al.
Published: (2025-01-01) -
Combination on GNSS precise point positioning and InSAR data fusion to monitor the land subsidence in Taiwan
by: Ta-Kang Yeh, et al.
Published: (2025-12-01) -
Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model
by: Zhengdao Yuan, et al.
Published: (2024-12-01) -
Research on positioning precision testing methods in GPS continuously operating reference station system
by: TANG Wei-ming1, et al.
Published: (2006-01-01)