Preprints
https://doi.org/10.5194/essd-2026-233
https://doi.org/10.5194/essd-2026-233
08 May 2026
 | 08 May 2026
Status: this preprint is currently under review for the journal ESSD.

An equidistant nodal orthogonal polynomial fitting model for the central Pacific Ocean basin derived from satellite altimeter data: eight major tidal harmonic constants

Deyu Meng, Yunfei Zhang, Yibo Zhang, Xiaojiang Zhang, and Xianqing Lv

Abstract. High-precision tidal harmonic constants serves as an important foundation for numerical ocean tidal modeling and studies of tidal dynamics. Prior studies have validated the applicability and efficacy of the equidistant node orthogonal polynomial for the fitting of tidal harmonic constants. In this study, observational records acquired from the TOPEX/Poseidon, Jason-1, Jason-2, and Jason-3 satellite altimetry missions are employed to conduct a systematic tidal harmonic analysis over the Central Pacific Basin. The dataset generated by the Equidistant Node Orthogonal Polynomial Fitting (ENOPF) model for the Central Pacific Basin (170° E–230° W, 30° S–30° N) was used to construct cotidal charts for the eight major tidal constituents (M₂, S₂, N₂, K₂, K₁, O₁, P₁, Q₁). The dataset has a spatial resolution of 3′ × 3′, and its tidal amplitude and phase lags are quantitatively compared with outputs from the Finite Element Solutions 2014 (FES2014), FES2022b, Empirical Ocean Tide 20 (EOT20), Tidal Prediction eXtended OSU 10 (TPXO10), and Technical University of Denmark 16 (DTU16) tide models. The results show that, relative to the comparative models, the vector error (VE), mean absolute error of amplitude (ΔH), and mean absolute error of phase lag (ΔG) computed with satellite altimeter data and tide gauges exhibit superior performance using ENOPF dataset. For example, for the M2, S2, K1, and O1 tidal constituents, the vector errors between the ENOPF-derived dataset and data from satellite altimeters were 0.91, 0.44, 0.41, and 0.21 cm. Furthermore, the ENOPF method offers a simpler and faster method for improving resolution; subsequently, by extracting the polynomial coefficients, a more detailed dataset with resolution of 1′ × 1′ can be constructed. This high-precision tidal harmonic constant dataset for the Central Pacific Basin offers significant application advantages, providing more reliable data support and technical references for tidal dynamics, ocean circulation, and marine engineering projects in the region.

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Deyu Meng, Yunfei Zhang, Yibo Zhang, Xiaojiang Zhang, and Xianqing Lv

Status: open (until 14 Jun 2026)

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Deyu Meng, Yunfei Zhang, Yibo Zhang, Xiaojiang Zhang, and Xianqing Lv
Deyu Meng, Yunfei Zhang, Yibo Zhang, Xiaojiang Zhang, and Xianqing Lv
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Latest update: 08 May 2026
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Short summary
In this study, a high-precision dataset of eight major tidal constituents in the central Pacific Ocean using Equidistant Node Orthogonal Polynomial Fitting (ENOPF) model was generated. This high-precision tidal harmonic constant dataset for the Central Pacific Basin offers significant application advantages, providing more reliable data support and technical references for tidal dynamics, ocean circulation, and marine engineering projects in the region.
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