Special Issue "GNSS Applications in Meteorology: Recent Trends, Current Progress and Future Directions"

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: 20 June 2023 | Viewed by 399

Special Issue Editors

College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
Interests: GNSS Meteorology; high-precision GNSS data processing; GNSS tropospheric delay modeling; marine positioning
School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
Interests: GNSS precise point positioning (PPP); tropospheric parameter estimation; low Earth orbit (LEO) navigation augmentation

Special Issue Information

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • 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

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:


Accuracy Analysis of Real-Time Precise Point Positioning—Estimated Precipitable Water Vapor under Different Meteorological Conditions: A Case Study in Hong Kong
Atmosphere 2023, 14(4), 650; https://doi.org/10.3390/atmos14040650 - 30 Mar 2023
Viewed by 153
Precipitable water vapor (PWV) monitoring with real-time precise point positioning (PPP) is required for the improved early detection of increasingly common extreme weather occurrences. This study takes Hong Kong as the research object. The aim is to explore the accuracy of real-time global [...] Read more.
Precipitable water vapor (PWV) monitoring with real-time precise point positioning (PPP) is required for the improved early detection of increasingly common extreme weather occurrences. This study takes Hong Kong as the research object. The aim is to explore the accuracy of real-time global navigation satellite system (GNSS) PPP in estimating PWV at low latitudes and under different weather conditions. In this paper, real-time PPP is realized by using observation data from continuously operating reference stations (CORS) in Hong Kong and real-time products from the Centre National d’Etudes Spatiales (CNES). The Tm model calculated using numerical weather prediction (NWP) data converts the zenith tropospheric delay (ZTD) of real-time PPP inversion into PWV and evaluates its accuracy using postprocessing products. The experimental results show that compared with GPS, multi-GNSS can reduce the convergence time of PPP by 29.20% during rainfall periods and by 12.06% during nonrainfall periods. The improvement in positioning accuracy is not obvious, and the positioning accuracy of the two is equivalent. Real-time PPP ZTD experiments show that there are lower average values for bias, standard deviation (STDEV), and root mean square (RMS) during nonrainfall periods than during rainfall periods. Real-time PPP PWV experiments show that there are also lower bias, STDEV, and RMS values during nonrainfall periods than during rainfall periods. The comparative study between rainfall and nonrainfall periods is of great significance for the real-time monitoring and forecasting of water vapor changes. Full article
Show Figures

Figure 1

Back to TopTop