Abstract The global navigation satellite system (GNSS) coordinate time series is affected by the environmental loading. This study mainly selects the three agencies, namely, the School and Observatory of Earth Sciences (EOST) in France, the German Research Center for Geosciences (GFZ) in Germany, and the International Mass Loading Service (IMLS) in the United States, including 5 types of atmospheric loading (ATML) models, 7 types of hydrological loading (HYDL) models and 5 types of non-tidal oceanic loading (NTOL) models. The classification of these 17 environmental loading models was discussed, and the root mean square (RMS) reduction ratio of the GNSS coordinate time series after environmental loading corrections (ELCs) was used to evaluate the performance differences of various models. In order to correct the nonlinear deformation of the GNSS stations to the greatest extent, based on the above analysis, this study selects the optimal model combination of three environmental loadings as ECMWF_IB + MERRA2 + ECCO1, and then explores its influence on the periodic signals in the GNSS coordinate time series.
Comparative analysis of the correction effect of different environmental loading products on global GNSS coordinate time series
Advances in Space Research ; 70 , 11 ; 3594-3613
2022-08-03
20 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
GNSS coordinate time series , Environmental loading products , RMS reduction ratio , Nonlinear deformation , GNSS , Global navigation satellite system , EOST , School and Observatory of Earth Sciences , GFZV , German Research Center for Geosciences , IMVLS , International Mass Loading Service , EVCMWF , European Centre for Medium-Range Weather Forecasts , ERA-interim , Era-interim , GEOSFPIT , Global Earth Observing System Forward Processing Instrumental Team , MERRA2 , Modern-Era Retrospective analysis for Research and Applications, version 2 , GLDAS , Global Land Data Assimilation System , LSDM , Land Surface Discharge Model , ECCO1 , Estimating the Circulation and Climate of the Ocean , ECCO2 , Follow-on ECCO, Phase Ⅱ , GLORYS , GLobal Ocean ReanalYses and Simulations , MPIOM , Max Planck Institute Ocean Model , MPIOM06 , 6 hourly ocean model MPIOM , ELCs , Environmental loading corrections , RMS , Root mean square , ATML , Atmospheric loading , NTOL , Non-tidal oceanic loading , HYDL , Hydrological loading , GPS , Global positioning system , SUML , Sum environmental loading , SOPAC , Scripps Orbit and Permanent Array Center , IGS , International GNSS Service , NASA , National Aeronautics and Space Administration
Prediction of Multistation GNSS Vertical Coordinate Time Series Based on XGBoost Algorithm
Springer Verlag | 2022
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