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An improved tropospheric mapping function modeling method for space geodetic techniques
Abstract The accuracy of the tropospheric mapping functions is greatly influenced by the mapping function modeling methods. In the past decades, the ‘fast’ method rather than the rigorous least-squares methods was dominantly used for the development of mapping functions, such as Vienna Mapping Functions 1 (VMF1), considering the convergence issue and computation efficiency. In this study, we reconsider the suitability of the rigorous least-squares methods in operational mapping function development and present a new mapping function modeling method where the number of to-be-estimated coefficients in the mapping function continued fraction is adaptively determined according to the convergence in the least-squares fitting. The modeling accuracy of the new method is evaluated during 40 days spanning four seasons in 2020 at globally distributed 905 Global Navigation Satellite Systems (GNSS) stations. Significant improvement of the new method to the ‘fast’ method is found, with hydrostatic and wet mapping function modeling mean absolute errors (MAEs) of 1.6 and 1.3 mm for the new method and of 3.6 and 3.0 mm for the ‘fast’ method, respectively. Multi-GNSS Precise Point Positioning (PPP) of the new method is conducted at 107 International GNSS Service (IGS) Multi-GNSS Experiment (MGEX) stations. Effectiveness of the new method is also found for the PPP station height and zenith total delay estimation.
An improved tropospheric mapping function modeling method for space geodetic techniques
Abstract The accuracy of the tropospheric mapping functions is greatly influenced by the mapping function modeling methods. In the past decades, the ‘fast’ method rather than the rigorous least-squares methods was dominantly used for the development of mapping functions, such as Vienna Mapping Functions 1 (VMF1), considering the convergence issue and computation efficiency. In this study, we reconsider the suitability of the rigorous least-squares methods in operational mapping function development and present a new mapping function modeling method where the number of to-be-estimated coefficients in the mapping function continued fraction is adaptively determined according to the convergence in the least-squares fitting. The modeling accuracy of the new method is evaluated during 40 days spanning four seasons in 2020 at globally distributed 905 Global Navigation Satellite Systems (GNSS) stations. Significant improvement of the new method to the ‘fast’ method is found, with hydrostatic and wet mapping function modeling mean absolute errors (MAEs) of 1.6 and 1.3 mm for the new method and of 3.6 and 3.0 mm for the ‘fast’ method, respectively. Multi-GNSS Precise Point Positioning (PPP) of the new method is conducted at 107 International GNSS Service (IGS) Multi-GNSS Experiment (MGEX) stations. Effectiveness of the new method is also found for the PPP station height and zenith total delay estimation.
An improved tropospheric mapping function modeling method for space geodetic techniques
Zhou, Yaozong (Autor:in) / Lou, Yidong (Autor:in) / Zhang, Weixing (Autor:in) / Bai, Jingna (Autor:in) / Zhang, Zhenyi (Autor:in)
Journal of Geodesy ; 95
2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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