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Numerical models of transient atmospheric and hydrospheric dynamics: Benefits for the interpretation of geodetic observations.

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Dobslaw,  Henryk
Deutsches GeoForschungsZentrum;

/persons/resource/mthomas

Thomas,  Maik
Deutsches GeoForschungsZentrum;

Grötzsch,  A.
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Zitation

Dobslaw, H., Thomas, M., Grötzsch, A. (2007): Numerical models of transient atmospheric and hydrospheric dynamics: Benefits for the interpretation of geodetic observations., (IUGG Perugia 2007 Webbook: GS005, No. 3960), 24th IUGG 2007 (Perugia, Italy 2007).


https://gfzpublic.gfz-potsdam.de/pubman/item/item_236409
Zusammenfassung
Dynamical processes in the Earth's system caused by internal and external forces and accompanied by mass redistributions within and mass exchanges between the individual subsystems are well reflected in variations of the three fundamental observables of geodesy, i.e., the Earth's shape, its rotation and the gravity field. Since all these global parameters are precisely observed with various space- and groundbased geodetic techniques, mass transports in the Earth's system and corresponding dynamics are principally monitored. However, due to the integral character of geodetic observations and restrictions concerning resolution in time and space, the processing as well as the interpretation and utilization of the data requires independent, interdisciplinary and consistent methods, e.g., from theory and modelling.Here, a numerical model approach covering transient dynamical processes and corresponding mass redistributions in the atmosphere-hydrosphere system is applied in order to highlight the benefits of a combined interpretation of different geodetic observations. By means of numerical simulations, atmospheric and hydrospheric induced mass anomalies, vertical deformations, sea-surface height variations as well as the impact on Earth rotation are deduced and contrasted to corresponding observations in order to show how large-scale, near surface mass transports are represented in geodetic data. Considering the individually limited spatial and temporal resolution of the different observations it will be demonstrated how the various observing techniques and the complementary model approach may contribute to a comprehensive understanding of the processes considered.