Articles | Volume 50
https://doi.org/10.5194/adgeo-50-39-2019
https://doi.org/10.5194/adgeo-50-39-2019
25 Nov 2019
 | 25 Nov 2019

Evaluation of Virtual Reference Station Constraints for GNSS Tropospheric Tomography in Austria Region

Zohreh Adavi and Robert Weber

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Cited articles

Adavi, Z. and Mashhadi-Hossainali, M.: 4D-Tomographic Reconstruction of the Tropospheric Wet Refractivity Using the Concept of Virtual Reference Station, Case Study: North West of Iran, Meteorol. Atmos. Phys., 125, 193–205, https://doi.org/10.1007/s00703-014-0342-4, 2014. 
Adavi, Z. and Mashhadi-Hossainali, M.: 4D-tomographic reconstruction of water vapor using the hybrid regularization technique with application to the North West of Iran, Adv. Space Res., 55, 1845–1854, https://doi.org/10.1016/j.asr.2015.01.025, 2015. 
Al-Shaery, A., Lim, S., and Rizos, C.: Investigation of Different Interpolation Models Used in Network-RTK for the Virtual Reference Station Technique, Journal of Global Positioning Systems, 10, 136–148, 2011. 
Aster, R., Borchers, B., and Thurber, C.: Parameter Estimation and Inverse Problems, Elsevier Academic Press, Amsterdam Boston, 313 pp., 2003. 
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. 
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Short summary
Here, three schemes have been considered for remedying the rank deficiency of the GNSS tomography problem. For this purpose, the Virtual Reference Stations (VRS) and horizontal and vertical constraints have been defined to analyze the impact of different constraints on the accuracy of the reconstructed refractivity field. The obtained results illustrate that applying VRS stations in the sparse GNSS Network can lead to a better solution compared to applying horizontal and vertical constraints.