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Evaluating the 3D deformation induced by non-tidal loading in GNSS time series in Finland

Urheber*innen

Ejigu,  Yohannes Getachew
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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

Raja-Halli,  Arttu
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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

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

Bilker-Koivula,  Mirjam
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Zitation

Ejigu, Y. G., Nordman, M., Raja-Halli, A., Khorrami, F., Näränen, J., Bilker-Koivula, M. (2023): Evaluating the 3D deformation induced by non-tidal loading in GNSS time series in Finland, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-2573


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019332
Zusammenfassung
The Earth’s surface is continuously deforming at various temporal and spatial scales. The deformation is caused by the changing mass distribution of atmospheric, oceanic, hydrological masses, glaciers and ice sheets as well as earthquakes and/or human activities. Some of the mass changes are periodic and rather well known (e.g., ocean and solid Earth tides), whereas the non-periodic mass changes are not that well known or easy to model. The latter part is often referred to as non-tidal loading (NTL) and is the focus of the study. A deeper understanding of the NTL in geodetic time series, particularly in regional and/or local scales, will result in insights in modelling and removing the effect from the time series, thus improving the stability of the geodetic time series. Examining the impacts of different loading products in our region is critical for accurately removing the loading signal. Currently, there are several open sources for loading products. In this study, we compared the performance of these loading products and investigated their impact on the scatter of GNSS time series in the permanent GNSS stations in Finland (FinnRef). We studied five different hydrological loading models, six different non-tidal atmospheric loading models, and three different non-tidal oceanic loading models to see how various loading configurations operate and how they affect the noise characteristics of GNSS 3D time series, and ultimately figure out which models is most realistic in Finland.