Dear Colleagues,

The comprehensive and systematic monitoring of atmospheric changes is critical in researching the evolution of complicated weather systems and in forecasting natural disasters. In GNSS meteorology, researchers use GNSS theory and technology to remotely sense the atmosphere and conduct theoretical and methodological research, including measuring atmospheric temperature, water vapor content, and total electron content, and tracking climate change. With the development of GNSS in recent years, remarkable progress has been made in GNSS meteorology, and researchers are increasingly committed to researching GNSS atmospheric environment detection. Ground-based GNSS meteorology and space-based GNSS occultation are the two fundamental features of GNSS-based atmospheric environment detection technologies. Densely deployed ground-based GNSS stations across the globe serve as a foundation for real-time monitoring of the atmospheric environment. Meanwhile, space-based GNSS occultation observation compensates for the lack of marine GNSS data.

Many challenges remain in the development of GNSS meteorology, such as the unstable quality of GNSS data under extreme conditions, the need to improve multi-source meteorological factor utilization capability and to construct a GNSS water vapor lamination model, and the high false-alarm rate of extreme weather forecast models based on GNSS data. Therefore, the main objective of this Special Issue is to introduce recent advances and research achievements in GNSS technology in meteorology. We welcome original research on topics including, but not limited to:

• High-precision inversion of multi-type GNSS atmospheric parameters;
• GNSS three-dimensional water vapor modeling;
• Comprehensive utilization of multi-source water vapor;
• Short-term forecast of extreme meteorological events;
• Climate change analysis;
• GNSS data assimilation and application;
• Ionospheric electron content monitoring;
• Climate monitoring base on ground-based GNSS;
•  GNSS radio occultation;
•  GNSS reflection-signal atmospheric detection;
•  Ground and high-altitude meteorological detection.

Dr. Ying Xu
Dr. Guangxing Wang
Guest Editors

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• GNSS
• BDS
• tropospheric delay
• ionospheric delay
• numerical weather prediction
• precipitable water vapor
• ray tracing method
• atmospheric modelling
• space weather
• severe weather
• high-precision inversion of multi-type GNSS atmospheric parameters
• GNSS three-dimensional water vapor modeling
• multi-source water vapor
• short-term forecast of extreme meteorological events
• climate change analysis
• ground-based GNSS
• GNSS radio occultation
• ground and high-altitude meteorological detection
• atmospheric detection based on GNSS reflected signal