Abstract
With the continuous improvement of ground-based GPS meteorology and GPS remote sensing snow cover theory, combined with the increasing global GPS tracking stations, ground-based GPS is used as a new sensor in space to better predict and monitor snowfall weather. Based on the basic principles of ground-based GPS remote sensing water vapour and GPS remote sensing snow thickness theory, GPS observation data from the P360 site of the California PBO network from July 2012 to October 2017 in the United States were used to obtain the PWV combined the meteorological file through the GAMIT solution. And based on GPS-MR technology retrieve snowfall thickness. The analysis of the results shows that the ground-based GPS site can effectively obtain the continuous, real-time, high-time-resolution precipitable water PWV and snow depth around the site moreover obtain the relationship between snow depth and PWV and actual snowfall, which further expands the application of ground-based GPS in snowfall weather monitoring.
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Acknowledgments
We gratefully acknowledge the provision of data, equipment, and engineering services by the Plate Boundary Observatory operated by UNAVCO for Earth Scope. This work was supported by China Desert Meteorological Science Research Foundation (Sqj2017002), National Science Foundation of China (41731066, 41674001, 41104019) and the Special Fund for Basic Scientific Research of Central Colleges (310826172202).
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Wang, Y., Zhang, S., Wang, L., Zhang, C. (2019). Ground-Based GPS Used for Snowfall Weather Monitoring Research. In: Sun, J., Yang, C., Yang, Y. (eds) China Satellite Navigation Conference (CSNC) 2019 Proceedings. CSNC 2019. Lecture Notes in Electrical Engineering, vol 562. Springer, Singapore. https://doi.org/10.1007/978-981-13-7751-8_7
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DOI: https://doi.org/10.1007/978-981-13-7751-8_7
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