Assessing Real-Time PPP Performance for PWV Estimation Using Low-Cost GNSS Stationsand Multi-Source Correction Products

Abstract. Monitoring atmospheric water vapour is essential for weather forecasting and climate studies. GNSS networks can retrieve Precipitable Water Vapour (PWV) continuously at each station location, but the accuracy depends on the quality of the satellite orbit and clock corrections used in the processing. This study evaluates PWV retrieval from 478 stations of the French Centipede low-cost GNSS network using four levels of correction products with decreasing latency: GFZ Final (∼2 weeks), Rapid (∼1 day), Ultra-rapid (3–9 hours), and broadcast ephemerides (real-time). Validation against ERA5 reanalysis shows that the Final and Rapid products achieve similar performance (RMSE ≈ 2 mm, r2 = 0.84), confirming that near-real-time processing introduces no significant accuracy loss. Ultra-rapid products remain usable (RMSE = 3.4 mm), while broadcast ephemerides show larger errors (RMSE = 5.8 mm) but still capture the spatial moisture pattern. In addition, a real-time experiment using the freely available Galileo High Accuracy Service (HAS) demonstrates that stable tropospheric estimates (ZTD ± 1.4 mm, PWV ± 0.2 mm) can be obtained in real time, even before the positioning solution has fully converged. These results suggest that combining the spatial density of low-cost networks with real-time HAS corrections could enable high-resolution PWV monitoring that is not achievable with existing systems.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2026-07-30
DOI
https://doi.org/10.5194/isprs-archives-xlix-b3-2026-745-2026
Primary Topic
GNSS positioning and interference
Type
article
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article

Assessing Real-Time PPP Performance for PWV Estimation Using Low-Cost GNSS Stationsand Multi-Source Correction Products

Paolo Dabove, Milad Bagheri
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
GNSS positioning and interference
article

Assessing Real-Time PPP Performance for PWV Estimation Using Low-Cost GNSS Stationsand Multi-Source Correction Products

Paolo Dabove, Milad Bagheri
article en

Abstract

Abstract. Monitoring atmospheric water vapour is essential for weather forecasting and climate studies. GNSS networks can retrieve Precipitable Water Vapour (PWV) continuously at each station location, but the accuracy depends on the quality of the satellite orbit and clock corrections used in the processing. This study evaluates PWV retrieval from 478 stations of the French Centipede low-cost GNSS network using four levels of correction products with decreasing latency: GFZ Final (∼2 weeks), Rapid (∼1 day), Ultra-rapid (3–9 hours), and broadcast ephemerides (real-time). Validation against ERA5 reanalysis shows that the Final and Rapid products achieve similar performance (RMSE ≈ 2 mm, r2 = 0.84), confirming that near-real-time processing introduces no significant accuracy loss. Ultra-rapid products remain usable (RMSE = 3.4 mm), while broadcast ephemerides show larger errors (RMSE = 5.8 mm) but still capture the spatial moisture pattern. In addition, a real-time experiment using the freely available Galileo High Accuracy Service (HAS) demonstrates that stable tropospheric estimates (ZTD ± 1.4 mm, PWV ± 0.2 mm) can be obtained in real time, even before the positioning solution has fully converged. These results suggest that combining the spatial density of low-cost networks with real-time HAS corrections could enable high-resolution PWV monitoring that is not achievable with existing systems.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLIX-B3-2026
Politecnico di Torino (IT)
Climate action
Openalex Percentile: Top 5%
GNSS positioning and interference
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