English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Match schemes of the modeled geophysical excitation functions for the Earth's polar motion prediction

Authors

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

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

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

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

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

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Xu, C., Duan, P., Huang, C., Xu, X., Zhou, Y. (2023): Match schemes of the modeled geophysical excitation functions for the Earth's polar motion prediction, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3756


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020788
Abstract
The modeled geophysical angular momentum excitation functions (including the contributions of atmosphere, ocean, and hydrology) differ from the geodetic angular momentum excitation function (GAM). The former can simulate historical or forecast data based on the dynamic meteorological models with geodetic observations, while the latter can only get historical data through geodetic techniques such as global navigation satellite system (GNSS), very long baseline interferometry (VLBI), and satellite laser ranging (SLR). Because of potential observational errors and model deficiencies, gaps still exist between the two types of excitation functions in various timescale components. Thus, we must consider the effect of such gaps on the Earth orientation parameters (EOP) prediction. The key to further improving the prediction accuracy of EOP may rest in exploiting specific data processing approaches to address these gaps, so we conduct a detailed study on this issue. We analyze the differences and relations between the two types of excitation functions based on the Earth's rotation equation and its various timescale variational mechanisms. On this basis, we attempt to establish various matching schemes to reduce the gaps between the two types of excitation functions, exploit these schemes in the Earth's polar motion prediction, and compare the prediction results.