随着全球卫星导航系统的快速发展，GNSS气象学领域迎来了新的机遇与挑战。本书聚焦于多星座GNSS实时水汽反演理论与方法研究，提出多系统融合的GNSS实时水汽反演方法，有效提高实时水汽参数的反演精度和可靠性；提出基于多星座GNSS的高时间分辨率大气梯度反演方法，并评估不同时间分辨率的大气梯度估计对精密定位的影响；提出利用数值天气模型增强北斗／GNSS精密定位的方法，实现快速精密定位的目标。

List of Acronyms
List of GNSS Stations
Chapter 1 Introduction
Chapter 2 Measuring Water Vapor
2.1 The Role of Atmospheric Water Vapor in the Climate System
2.2 Water Vapor Observing Techniques
2.2.1 Radiosonde
2.2.2 Water Vapor Radiometer
2.2.3 Very Long Baseline Interferometry
2.2.4 DORIS
2.2.5 Numerical Weather Model
Chapter 3 Real-time GNSS Meteorology
3.1 GPS Water Vapor
3.2 GLONASS Water Vapor
3.2.1 Data Collection
3.2.2 Real-time GNSS ZTD/PWV Estimation
3.2.3 VLBI and Radiosonde Data Processing
3.2.4 Results and Analysis
3.3 BeiDou Water Vapor
3.3.1 Tracking Network and Data Collection
3.3.2 Real-time ZTD/PWV Retrieval from BeiDou and CPS
3.3.3 Results and Analysis
3.4 Galileo
3.5 Conclusions
Chapter 4 Multi-GNSS Atmospheric Parameters
4.1 Muhi-GNSS Water Vapor
4.1.1 Real-time Multi-GNSS Water Vapor Derivation
4.1.2 Data Acquisition and Results
4.2 Muhi-GNSS Gradients with High Temporal Resolution
4.2.1 Data Collection
4.2.2 GNSS Gradient Estimation
4.2.3 GNSS Gradients in High Temporal Resolution
4.3 Effects of Tropospheric Gradients on Precise Positioning
4.3.1 Repeatability of Station Position Estimates
4.3.2 Effects of Gradient Estimation on Kinematic PPP
4.4 Conclusions
Chapter 5 Improving GNSS Precise Positioning with Numerical Weather Models
5.1 NWM for BeiDou Precise Positioning
5.1.1 BeiDou Data Acquisition
5.1.2 Tropospheric Delay Parameters Derived from NWM
5.1.3 NWM Augmented BeiDou Real-time PPP
5.1.4 Results and Analysis
5.2 NWM for Muhi-GNSS Precise Positioning
5.2.1 Data Acquisition
5.2.2 Multi-GNSS PPP Processing
5.2.3 Results and Analysis
5.3 Conclusions
Chapter 6 Conclusions and Outlooks
References
Acknowledgments