Improving GNSS precise point positioning with tropospheric constraints from data-driven numerical weather prediction model

Improving GNSS precise point positioning with tropospheric constraints from data-driven numerical weather prediction model

Accurate priori tropospheric knowledge is advantageous for Global Navigation Satellite System (GNSS) precise point positioning (PPP), which significantly influences both convergence time and the accuracy of tropospheric delay estimations. However, traditional numerical weather prediction (NWP) model...

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Bibliographic Details
Main Authors: Yuanfan Deng, Wu Chen, Junsheng Ding, Ahmed El-Mowafy, Duojie Weng, Long Tang, Lei Bai, Xiaolong Mi
Format: Article
Language:English
Published: Taylor & Francis Group 2025-06-01
Series:Geo-spatial Information Science
Subjects:
Global navigation satellite system (GNSS)
zenith tropospheric delay
random walk processing noise
precise point positioning
numerical weather prediction
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2025.2513650
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