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G. Möller, C. Ao, Z. Adavi, R. Biondi, H. Brenot, A. Sa, G. Hajj, N. Hanna, C. Kitpracha, E. Pottiaux, W. Rohm, E. Shehaj, E. Trzcina, K. Wang, K. Wilgan, W. Zhang, K. Zhang:
"Tomographic fusion strategies for the reconstruction of atmospheric water vapor";
Talk: Scientific Assembly of the International Association of Geodesy (IAG 2021), Beijing, China; 2021-06-28 - 2021-07-02; in: "IAG 2021 - Abstract Book", (2021), 329.

Geodetic GNSS networks are the backbone for tropospheric tomography studies. In addition, InSAR interferograms, GNSS radio occultation or microwave radiometer profiles are valuable assets, which can provide important complementary information for stabilizing the tomography system and further increase the spatio-temporal resolution of the reconstructed water vapor field. The combination of sensing techniques is a challenging task and requires a profound understanding of the underlying observation principles. Furthermore, tomographic fusion requires a strategyfor observation selection and a weighting scheme for a reliable handling of the redundant information. Thus, over the last two decades of tomographic research, a series of methods has been established for the optimal combination of space geodetic and related sensing techniques -sensitive to the water vapor distribution in the lower atmosphere. Within the IAG working group 4.3.6, a review of integrated fusion strategies has been carried out. In this presentation we will provide an overview about the major findings -categorized according to the type of sensor combination and integration level.

GNSS tomography, water vapor, sensor fusion, IAG working group 4.3.6

https://files.sciconf.cn/upload/file/20210626/20210626085039_69146.pdf