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    Comparison of advanced troposphere models for aiding reduction of PPP convergence time in Australia

    266817.pdf (1.661Mb)
    Access Status
    Open access
    Authors
    Deo, M.
    El-Mowafy, Ahmed
    Date
    2019
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Deo, M. and El-Mowafy, A. 2019. Comparison of advanced troposphere models for aiding reduction of PPP convergence time in Australia. Journal of Spatial Science. 64 (3): pp. 381-403.
    Source Title
    Journal of Spatial Science
    DOI
    10.1080/14498596.2018.1472046
    ISSN
    1449-8596
    School
    School of Earth and Planetary Sciences (EPS)
    Remarks

    This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Spatial Science, on 24/05/2018 available online: http://www.tandfonline.com//10.1080/14498596.2018.1472046

    URI
    http://hdl.handle.net/20.500.11937/68729
    Collection
    • Curtin Research Publications
    Abstract

    This paper first analyses the precision of tropospheric zenith total delay (ZTD) values obtained from the empirical models GPT2 and GPT2w, and the numerical weather models (NWM) from Australian Bureau of Meteorology (BoM), and European Centre for Medium-Range Weather Forecasts (ECMWF). Comparison of these ZTD values with IGS ZTD product at four sites showed that the ZTDs from NWM datasets were more precise than the empirical models. The ZTD from BoM data gave the best results, with mean errors between -0.034 m to 0.029 m and standard deviations better than 0.045 m. Next, the PPP convergence time and achievable accuracy using the BoM NWM constrained ZTD by including them as pseudo-observations with a pre-set precision was compared to the case of estimating the troposphere. This resulted in a slight enhancement in convergence time, and improvements in vertical positioning accuracy was found at all the four tested sites at 0.036–0.058 m after 2 min, 0.023–0.038 m after 3 min and 0.013–0.020 m after 5 min of PPP initialisation.

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