Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-23-2019
https://doi.org/10.5194/amt-12-23-2019
Research article
 | 
03 Jan 2019
Research article |  | 03 Jan 2019

Atmospheric bending effects in GNSS tomography

Gregor Möller and Daniel Landskron

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Cited articles

Aghajany, S. H. and Amerian, Y.: Three dimensional ray tracing technique for tropospheric water vapor tomography using GPS measurements, J. Atmos. Sol.-Terr. Phy., 164, 81–88, https://doi.org/10.1016/j.jastp.2017.08.003, 2017. a
Anderson, D. N., Mendillo, M., and Herniter, B.: A semi-empirical low-latitude ionospheric model, Radio Sci., 22, 292–306, https://doi.org/10.1029/RS022i002p00292, 1987. a
Bender, M. and Raabe, A.: Preconditions to ground based GPS water vapour tomography, Ann. Geophys., 25, 1727–1734, https://doi.org/10.5194/angeo-25-1727-2007, 2007. a
Bender, M., Stosius, R., Zus, F., Dick, G., Wickert, J., and Raabe, A.: GNSS water vapour tomography - Expected improvements by combining GPS, GLONASS and Galileo observations, Adv. Space Res., 47, 886–897, https://doi.org/10.1016/j.asr.2010.09.011, 2011. a
Bevis, M., Businger, S., Herring, T. A., Rocken, C., Anthes, R. A., and Ware, R. H.: GPS meteorology: Remote sensing of atmospheric water vapor using the Global Positioning System, J. Geophys. Res., 97, 15787–15801, https://doi.org/10.1029/92JD01517, 1992. a
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Short summary
The paper describes a ray-tracing approach for the proper reconstruction of GNSS signal paths through the lower atmosphere, identifies possible error sources during ray tracing and provides a strategy for reducing their effect on the GNSS tomography solution, thereby contributing to a more reliable reconstruction of the 3-D water vapor distribution in the lower atmosphere from GNSS measurements.