Haidong Pan , Dingqi Wang , Junchuan Sun , Tengfei Xu , Zexun Wei
{"title":"Tidal estimates from sun-synchronous satellite altimeters in the Bohai Sea via an improved harmonic analysis model","authors":"Haidong Pan , Dingqi Wang , Junchuan Sun , Tengfei Xu , Zexun Wei","doi":"10.1016/j.ocemod.2025.102593","DOIUrl":null,"url":null,"abstract":"<div><div>Multi-satellite altimeters have greatly elevated our understanding of tidal dynamics around the globe. Among all publicly available satellite altimeters, the T/P-Jason series are widely considered as the core of diverse satellite-based tidal investigations. By contrast, sun-synchronous satellites only play auxiliary roles in previous studies mostly due to their pathological aliasing for tidal estimation. In this study, MHACS, an improved version of the classical harmonic analysis model utilizing the smooth nature of tidal admittances, is applied to estimate tidal constants from 24-year sun-synchronous ERS-Envisat-Saral (EES) series in the Bohai Sea. MHACS utilizes the intrinsic natural connections among major tidal constituents to overcome the restrictions of the Rayleigh criterion. Tricky K<sub>1</sub>-P<sub>1</sub>-Sa and K<sub>2</sub>-Ssa pairs as well as S<sub>2</sub> tides in EES series are resolved by MHACS with regularization algorithms (i.e. ridge regression). Practical experiments in the Bohai Sea suggest that tidal estimates from the EES series through MHACS are in high agreement with the FES2014, with an average error of only 2.18 cm. Such consistency indicates the satisfactory performance of MHACS with ridge regression on processing the EES series. Although the proposed method has some limitations, it can potentially be a widely-used tool to extract tides from heterogeneous satellite altimeters including Sentinel series and Surface Water Ocean Topography (SWOT).</div></div>","PeriodicalId":19457,"journal":{"name":"Ocean Modelling","volume":"197 ","pages":"Article 102593"},"PeriodicalIF":2.9000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean Modelling","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1463500325000964","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Multi-satellite altimeters have greatly elevated our understanding of tidal dynamics around the globe. Among all publicly available satellite altimeters, the T/P-Jason series are widely considered as the core of diverse satellite-based tidal investigations. By contrast, sun-synchronous satellites only play auxiliary roles in previous studies mostly due to their pathological aliasing for tidal estimation. In this study, MHACS, an improved version of the classical harmonic analysis model utilizing the smooth nature of tidal admittances, is applied to estimate tidal constants from 24-year sun-synchronous ERS-Envisat-Saral (EES) series in the Bohai Sea. MHACS utilizes the intrinsic natural connections among major tidal constituents to overcome the restrictions of the Rayleigh criterion. Tricky K1-P1-Sa and K2-Ssa pairs as well as S2 tides in EES series are resolved by MHACS with regularization algorithms (i.e. ridge regression). Practical experiments in the Bohai Sea suggest that tidal estimates from the EES series through MHACS are in high agreement with the FES2014, with an average error of only 2.18 cm. Such consistency indicates the satisfactory performance of MHACS with ridge regression on processing the EES series. Although the proposed method has some limitations, it can potentially be a widely-used tool to extract tides from heterogeneous satellite altimeters including Sentinel series and Surface Water Ocean Topography (SWOT).
期刊介绍:
The main objective of Ocean Modelling is to provide rapid communication between those interested in ocean modelling, whether through direct observation, or through analytical, numerical or laboratory models, and including interactions between physical and biogeochemical or biological phenomena. Because of the intimate links between ocean and atmosphere, involvement of scientists interested in influences of either medium on the other is welcome. The journal has a wide scope and includes ocean-atmosphere interaction in various forms as well as pure ocean results. In addition to primary peer-reviewed papers, the journal provides review papers, preliminary communications, and discussions.