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GNSS tomography working group achievements in near real-time monitoring, sensor fusion and dynamic modeling

Authors

Moeller,  Gregor
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Adavi,  Zohreh
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Brenot,  Hugues
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Hanna,  Natalia
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Pottiaux,  Eric
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Rohm,  Witold
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Trzcina,  Estera
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Wilgan,  Karina
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Kamm,  Bettina
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Zhang,  Wenyuan
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Shehaj,  Endrit
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Ao,  Chi
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Moeller, G., Adavi, Z., Brenot, H., Hanna, N., Pottiaux, E., Rohm, W., Trzcina, E., Wilgan, K., Kamm, B., Zhang, W., Shehaj, E., Ao, C. (2023): GNSS tomography working group achievements in near real-time monitoring, sensor fusion and dynamic modeling, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-1943


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017596
Abstract
Geodetic GNSS networks are the backbone for tropospheric tomography studies. In addition, dense low-cost GNSS networks, InSAR interferograms or GNSS radio occultation 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. Therefore, the IAG tomography working group was establishing a benchmark dataset covering the meteorological conditions before, during and after the Central European floods in July 2021. The created dataset consists of a suite of complementing observing techniques and thus, was designed to contribute to developing and testing of new tomography-based concepts for sensing small-scale structures in the troposphere. In this presentation, we thereby focus on the achievements made in the last four years in supporting the analysis and prediction of extreme weather events with 3D water vapour products available in (near) real-time; improving the spatio-temporal resolution of derived tomography products by sensor fusion of ground-based GNSS, InSAR and radio occultation measurements; and establishing new standards in dynamic model parameterization.