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Abstract

Atmospheric water vapor plays a prominent role in weather forecasting and climate change, which can be measured accurately with conventional water vapor observing techniques and the global navigation satellite system (GNSS). However, there are limited studies that assess the retrieval of PWV exclusively using Beidou over oceans, as well as for GLONASS and Galileo. In this contribution, we investigate retrieving the real-time precipitable water vapor (PWV) based on shipborne GNSS kinematic precise point positioning (PPP) solutions through an 8-days experiment over the South China Sea. Observations from multi-constellation and single-constellation, including GPS, GLONASS, Galileo, and Beidou are processed. Real-time shipborne GNSS PWV is validated using ERA5 PWV products. The results obtained from the single-constellation analysis indicate that Beidou performs comparably to Galileo in PWV retrieval, surpasses GLONASS, but slightly falls behind GPS. It exhibits an accuracy of 3.19 mm when compared to the ERA5 PWV products after an average initialization time of 43.9 min. Furthermore, it is demonstrated that real-time multi-GNSS PWV achieves an accuracy improvement of more than 15% compared to single-constellation resolutions, reaching an accuracy of 2.34 mm. Real-time shipborne GNSS can accurately sense atmospheric water vapor over oceans and contribute to time-critical meteorological applications.

Details

Title
Real-time shipborne multi-GNSS atmospheric water vapor retrieval over the South China Sea
Author
Wu, Zhilu 1 ; Lu, Cuixian 2 ; Han, Xinjuan 2 ; Zheng, Yuxin 2 ; Wang, Bo 3 ; Wang, Jungang 4 ; Liu, Yanxiong 5 ; Liu, Yang 5 

 Tongji University, College of Surveying and Geo-Informatics, Shanghai, China (GRID:grid.24516.34) (ISNI:0000 0001 2370 4535); Wuhan University, School of Geodesy and Geomatics, Wuhan, China (GRID:grid.49470.3e) (ISNI:0000 0001 2331 6153); Ministry of Natural Resources, First Institute of Oceanography, Qingdao, China (GRID:grid.453137.7) (ISNI:0000 0004 0406 0561); State Key Laboratory of Geodesy and Earth’s Dynamics, Wuhan, China (GRID:grid.453137.7) 
 Wuhan University, School of Geodesy and Geomatics, Wuhan, China (GRID:grid.49470.3e) (ISNI:0000 0001 2331 6153) 
 China Railway Siyuan Survey and Design Group Co. Ltd., Wuhan, China (GRID:grid.495337.f) 
 GeoForschungZentrum (GFZ), Department of Geodesy, Potsdam, Germany (GRID:grid.23731.34) (ISNI:0000 0000 9195 2461) 
 Ministry of Natural Resources, First Institute of Oceanography, Qingdao, China (GRID:grid.453137.7) (ISNI:0000 0004 0406 0561) 
Pages
179
Publication year
2023
Publication date
Oct 2023
Publisher
Springer Nature B.V.
ISSN
10805370
e-ISSN
15211886
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2844920691
Copyright
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.