Highlights Construction of Global Ionospheric ROTI for GNSS Observation Data Day. Positioning accuracy of PPP software under different magnetic storm intensity. Compare the performance of PPP software in global, regional, and single station. Positioning accuracy from high to low is CSRS-PPP, Net_Diff, GAMP, and APPS.

    Abstract Currently, many precise point positioning (PPP) services provide through software or online websites for GNSS positioning studies and applications. Various PPP service software has different positioning performances due to their respective algorithms and versions. In addition, the positioning accuracy and reliability of PPP services lack systematic evaluation, especially in the case of geomagnetic storms. This study presents the PPP performance analysis of the common GNSS PPP software as CSRS-PPP (https://www.geod.nrcan.gc.ca/), APPS (https://apps.gdgps.net/), Net_Diff (http://center.shao.ac.cn/shao_gnss_ac/), and GAMP (https://www.ngs.noaa.gov/gps-toolbox/GAMP) under different geomagnetic storm intensities. The PPP experiments involve data from 916, 885, and 676 GPS stations data on 17 March 2015 (severe), 26 August 2018 (strong), and 15 January 2022 (moderate), respectively. The results showed that the positioning performance of the four PPP software is different in the magnetic storm environment. We found that during geomagnetic storms, the CSRS-PPP software has the highest positioning accuracy and reliability, while the APPS software shows the worst positioning performance. The performance of Net_Diff and GAMP during geomagnetic storms are comparable but are better than that of APPS. Statistical results indicate that the average values of 3D RMS of CSRS-PPP, APPS, Net_Diff, and GAMP under severe storm are 0.14 m, 0.60 m, 0.40 m, and 0.33 m, under strong storm are 0.18 m, 0.65 m, 0.27 m, and 0.33 m, and under moderate storm are 0.25 m, 1.66 m, 0.26 m, and 0.34 m, respectively. The main reason why the CSRS-PPP has the best positioning accuracy under different intensity storms is that it uses the ambiguity-fixed PPP solution, while the other three software use float solution.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Performance analysis of four PPP service software under different intensity geomagnetic storms


    Contributors:
    Mou, Yushen (author) / Luo, Xiaomin (author) / Xie, Zichun (author) / Peng, Xing (author)

    Published in:

    Advances in Space Research ; 72 , 5 ; 1593-1604


    Publication date :

    2023-04-18


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Forecast of recurrent geomagnetic storms

    Watari, S. | Elsevier | 2010


    Early Prediction of Geomagnetic Storms

    Collins, D. / Feynman, J. | NTRS | 2000


    Weather reacting to geomagnetic storms

    Illés-Almár, E | Elsevier | 2002


    Forecast of recurrent geomagnetic storms

    Watari, S. | Online Contents | 2011


    Weather reacting to geomagnetic storms

    Illés-Almár, E. | Online Contents | 2004