• DocumentCode
    771288
  • Title

    Water vapor tomography using GPS phase observations: simulation results

  • Author

    Nilsson, Tobias ; Gradinarsky, Lubomir

  • Author_Institution
    Onsala Space Obs.
  • Volume
    44
  • Issue
    10
  • fYear
    2006
  • Firstpage
    2927
  • Lastpage
    2941
  • Abstract
    Global positioning system (GPS) tropospheric tomography normally requires that the slant wet delays between the GPS satellites and the ground receivers are estimated with high accuracy, which may be difficult given the presence of a number of error sources. This paper presents an alternative approach, namely to estimate the three-dimensional structure of the atmospheric water vapor directly from raw GPS phase observations. The method is tested in a number of simulations, where the impact of network size, the possible horizontal and vertical resolutions, the observation noise, and the inclusion of additional global navigation satellite systems were studied. The simulation results indicate that the refractivity field can be obtained with an accuracy of ~20% or better up to around 4 km with a height resolution of 1 km provided that a sufficient number of receivers and satellites is available
  • Keywords
    Global Positioning System; artificial satellites; atmospheric humidity; atmospheric techniques; refractive index; tomography; troposphere; atmospheric water vapor; global navigation satellite systems; global positioning system satellites; global positioning system tropospheric tomography; ground receivers; network size; observation noise; phase observations; refractivity field; slant wet delays; water vapor tomography; Atmospheric modeling; Delay estimation; Global Positioning System; Information retrieval; Phase estimation; Refractive index; Satellites; Space technology; Terrestrial atmosphere; Tomography; Global positioning system (GPS); Kalman filtering; humidity; meteorology; simulation; terrestrial atmosphere; tomography;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2006.877755
  • Filename
    1704986