Abstract's details
Evaluation of omission error in FES2022 nonlinear wave spectrum across various coastal areas of the globe
Event: 2025 SWOT Science Team Meeting
Session: Deltas, Estuaries and Coasts
Presentation type: Poster
Errors of omission in the construction of tidal atlases, such as FES (Finite Element Solution), are often linked to the neglect or approximation of important non-linear processes within tidal modelling. These errors typically arise when interactions between tidal constituents or the intrinsic non-linearity of the ocean surface are insufficiently represented, leading to inaccuracies in tidal amplitude and phase predictions, particularly in coastal and estuarine areas where such effects are most pronounced.
This study assesses the omission errors associated with the non-linear tidal wave spectrum in the latest FES2022 tidal atlas across various coastal regions worldwide. The methodology involves selecting multiple tide gauges in diverse coastal settings, performing harmonic analyses on the recorded time series, and extracting the amplitudes and phases of both major (e.g., M2, K1) and minor (e.g., MS4) tidal constituents.
The contribution of each constituent is then evaluated to identify minor waves that might have non-negligible effects on tidal reconstructions. Omission errors are quantified by comparing the residuals of tidal series reconstructed using a limited number of constituents (e.g., 8 waves, then 50) against a reference reconstruction. The difference in residual signal provides a direct measure of the loss of tidal information due to omissions.
The results from this analysis show the importance of including a broader spectrum of tidal constituents in operational tidal modelling, underlining the non-negligible role of minor and non-linear waves, particularly in complex coastal dynamics.
Back to the list of abstractThis study assesses the omission errors associated with the non-linear tidal wave spectrum in the latest FES2022 tidal atlas across various coastal regions worldwide. The methodology involves selecting multiple tide gauges in diverse coastal settings, performing harmonic analyses on the recorded time series, and extracting the amplitudes and phases of both major (e.g., M2, K1) and minor (e.g., MS4) tidal constituents.
The contribution of each constituent is then evaluated to identify minor waves that might have non-negligible effects on tidal reconstructions. Omission errors are quantified by comparing the residuals of tidal series reconstructed using a limited number of constituents (e.g., 8 waves, then 50) against a reference reconstruction. The difference in residual signal provides a direct measure of the loss of tidal information due to omissions.
The results from this analysis show the importance of including a broader spectrum of tidal constituents in operational tidal modelling, underlining the non-negligible role of minor and non-linear waves, particularly in complex coastal dynamics.