On the real-time tropospheric delay estimates using low-cost GNSS receivers and antennas

被引:0
|
作者
Li, Luohong [1 ,2 ,3 ]
Zhang, Hongxing [1 ]
Yuan, Yunbin [1 ]
Aichinger-Rosenberger, Matthias [3 ]
Soja, Benedikt [3 ]
机构
[1] Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol APM, State Key Lab Geodesy & Earths Dynam, Wuhan, Peoples R China
[2] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
[3] Swiss Fed Inst Technol, Inst Geodesy & Photogrammetry, CH-8093 Zurich, Switzerland
关键词
Real-time; Low-cost GNSS receivers; Phase center variation; Zenith tropospheric delay; Severe rainfall; NUMERICAL WEATHER PREDICTION; MULTI-GNSS; METEOROLOGY; PARAMETERS;
D O I
10.1007/s10291-024-01655-1
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Dense Global Navigation Satellite System (GNSS) observations are beneficial for monitoring the small-scale troposphere turbulence in both spatiotemporal domains. Densification of current geodetic GNSS networks can be achieved by incorporating low-cost GNSS receivers and antennas, benefitting weather monitoring. This study aims to focus on real-time tropospheric delay estimation using real-time GNSS data streams collected by low-cost GNSS receivers and antennas. The results indicate that: (1) Low-cost GNSS devices can offer accuracies of 7.5 mm in winter and 10.8 mm in summer for real-time zenith tropospheric delay (ZTD) estimations; (2) By applying the phase center variation corrections for low-cost GNSS antennas, which are often ignored in previous studies on low-cost GNSS applications, can produce more reliable real-time ZTD estimations; (3) Low-cost GNSS devices can capture the ZTD fluctuations under heavy precipitation events in a real-time mode, showing a great potential as sensors to monitoring severe weather. These results underscore the viability of low-cost GNSS devices as cost-effective sensors that complement geodetic GNSS equipment in real-time troposphere monitoring and forecasting, especially at small scales. Their integration aids in the densification of existing monitoring networks, thereby bolstering GNSS meteorology applications.
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页数:13
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