基于浮标GNSS的海洋潮汐参数估计及潮汐模型适应性评估OA

The estimation of tidal parameters,such as K1 and K2 constituent tides,using global positioning system(GPS)data from ocean buoy platforms may yield unsatisfactory results.In this study,we employed a multi-system global navigation satellite system(GNSS)strategy to accu-rately estimate the main tidal parameters of ocean,proposed an optimal GNSS system combination strategy tailored for different tidal compo-nents,and evaluated the adaptability of tidal models within the region.We used the dynamic precise point positioning(PPP)techniques,low-pass filtering,and harmonic analysis to estimate and analyze the amplitudes and phases of eight principal tidal constituents(M2,S2,N2,K2,O1,P1,K1,Q1).We incorporated multi-system GNSS observational data,combined with pressure gauge measurements and tidal model predictions(FES2022 and EOT20)to comprehensively evaluate the positioning accuracy and tidal parameter estimation accuracy of different GNSS system combinations.Results indicate that multi-system GNSS combinations(notably GPS+GLONASS+Galileo+BDS)outperform the single GPS sys-tem in most tidal constituents.Additionally,in the study area,the FES2022 and EOT20 tidal models demonstrate strong predictive capabilities for high-amplitude constituents(e.g.,M2 and K1),but tend to overestimate low-amplitude constituents(e.g.,Q1).This study validates the advantag-es of multi-GNSS buoys in ocean tidal parameter estimation,providing significant insights for improving tidal parameter monitoring accuracy and enhancing regional tidal models.