Prof. Dr.Yong Wang | Geodesy – Professor at Tianjin Chengjian University, China
Professor Wang Yong is a distinguished researcher in the field of GNSS meteorology, known for his pioneering contributions to atmospheric studies and remote sensing applications. With a strong academic background and extensive research experience, he has made significant strides in integrating GNSS data with meteorological models, particularly in haze monitoring and water vapor fusion. His groundbreaking work has been widely recognized, with numerous publications in high-impact journals and active participation in editorial and review boards. His commitment to advancing geosciences and atmospheric research has positioned him as a leading figure in the field.
Professional Profile
Education
Professor Wang Yong pursued his doctoral studies at the Institute of Surveying and Geophysics, Chinese Academy of Sciences, where he specialized in GNSS meteorology. His academic journey was further enriched through a postdoctoral fellowship at Peking University, where he deepened his expertise in geospatial science and meteorological data analysis. His education has provided him with a strong foundation in surveying, remote sensing, and atmospheric research, enabling him to contribute novel insights to the field.
Experience
With years of experience in GNSS meteorology, Professor Wang has played a crucial role in advancing research on water vapor dynamics, haze monitoring, and atmospheric pollution assessment. He has collaborated with national and international research institutions, contributing to innovative methodologies for integrating satellite-based remote sensing with ground-based GNSS data. His expertise extends to scientific publishing, serving as an editorial board member and peer reviewer for numerous reputable journals. His work has not only enhanced meteorological modeling techniques but also influenced policy recommendations on environmental monitoring and disaster prediction.
Research Interests
Professor Wang’s research interests encompass a wide range of topics in geosciences, with a primary focus on GNSS-based atmospheric studies. His pioneering work in utilizing GNSS water vapor data for haze monitoring has laid the foundation for new research directions in meteorology. He is also deeply involved in data fusion techniques, integrating GNSS, MODIS, FY-4A, and ERA5 datasets to improve the accuracy of atmospheric models. His research extends to air pollution studies, climate variability, and the development of neural network models for meteorological predictions.
Awards and Recognitions
Professor Wang Yong’s contributions to GNSS meteorology have earned him significant recognition in the scientific community. He has received accolades for his innovative research in atmospheric sciences, including awards for excellence in remote sensing applications. His leadership roles in scientific committees, editorial boards, and peer review panels highlight his influence in the field. Additionally, his outreach activities as a science ambassador demonstrate his commitment to knowledge dissemination and public engagement in geospatial sciences.
Publications
📡 Research on the fusion of PWV over the Beijing-Tianjin-Hebei region based on ERA5 PWV and FY-4A PWV – Advances in Space Research, 2025
🌍 Improving MODIS Precipitable water vapor in mainland China based on the LSF model – Advances in Space Research, 2023
🌫 A neural network model to predict spatiotemporal PM2.5 with FY-4A total precipitable water – Atmospheric Pollution Research, 2023
🔬 Assessment and calibration of FY-4A AGRI total precipitable water products based on CMONOC – Atmospheric Research, 2022
🌪 Study on the regional prediction model of PM2.5 concentrations based on multi-source observations – Atmospheric Pollution Research, 2022
🛰 Fusion of CMONOC and ERA5 PWV Products Based on Backpropagation Neural Network – Remote Sensing, 2022
Conclusion
Professor Wang Yong’s contributions to GNSS meteorology, atmospheric pollution monitoring, and data fusion techniques have set a benchmark in the field of geosciences. His pioneering research, extensive publication record, and dedication to scientific advancement make him a deserving candidate for the Best Researcher Award. With continuous innovation and interdisciplinary collaboration, his work will further enhance the understanding of atmospheric processes and environmental sustainability.