Analysis of GNSS-based PWV inversion accuracy and its temporal-spatial variation patterns under different geographic conditions

Hongjiang Zhu

doi:10.1117/12.3033258

29 July 2024 Analysis of GNSS-based PWV inversion accuracy and its temporal-spatial variation patterns under different geographic conditions

Hongjiang Zhu

Author Affiliations +

Proceedings Volume 13214, Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024); 1321415 (2024) https://doi.org/10.1117/12.3033258
Event: Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024), 2024, Guangzhou, China

Abstract

This study aims to evaluate the accuracy of the atmospheric precipitable water vapor (PWV) inversion using the Global Navigation Satellite System (GNSS) technology and its temporal-spatial distribution characteristics in the central and western regions of the Chinese mainland. By comparing PWV data from 15 GNSS stations with ERA5 reanalysis data and radiosonde data, this paper analyzes the precision and consistency of GNSS-based PWV inversion, discusses the influence of latitude, elevation, and climatic factors on the accuracy of PWV inversion, and finally reveals the temporal-spatial variation patterns of PWV. The results indicate good consistency between GNSS PWV and radiosonde PWV, demonstrating the high reliability of GNSS in PWV measurement. The PWV inversion accuracy is closely related to the geographical location of the sites, with the mean absolute error and root mean square error increasing with latitude and decreasing with elevation. The temporal-spatial analysis reveals a growth trend of PWV at 0.12mm/year, along with significant annual, semi-annual, and 1/3-annual cyclical signals, and the spatial distribution closely related to topography and climatic conditions. The study confirms the high reliability of GNSS-based PWV inversion, analyzes the significant influence of site geographical characteristics on accuracy, and lays a solid foundation for the extensive application of the GNSS technology in climate change monitoring and atmospheric water vapor research.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Hongjiang Zhu "Analysis of GNSS-based PWV inversion accuracy and its temporal-spatial variation patterns under different geographic conditions", Proc. SPIE 13214, Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024), 1321415 (29 July 2024); https://doi.org/10.1117/12.3033258

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KEYWORDS

Satellite navigation systems

Climatology

Atmospheric modeling

Analytical research

Climate change

Data modeling

Meteorology

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