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Special Issue "Remote Sensing and Numerical Simulation for Tidal Dynamics"

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A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: 31 October 2023 | Viewed by 4332

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Special Issue Editors

Prof. Dr. Zexun Wei

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Guest Editor

Lab of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Interests: ocean circulation dynamics; tidal wave dynamics; ocean numerical simulation and prediction

Prof. Dr. R. Dwi Susanto

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Guest Editor

Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USA
Interests: dynamics of indo-pacific region; indonesian throughflow measurement and monitoring

Prof. Dr. Zhenhua Xu

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Guest Editor

CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology Chinese Academy of Sciences, Qingdao 266071, China
Interests: internal waves; internal tides and turbulence mixing processes in the ocean; multiscale processes interaction; wave-wave and wave-current interaction
Special Issues, Collections and Topics in MDPI journals

Dr. Tengfei Xu

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Guest Editor

Lab of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Interests: remote sensing product application; inter-ocean water exchange; ocean dynamics effects on marine primary productivity

Dr. Haidong Pan

E-Mail Website
Guest Editor

Lab of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Interests: tidal wave dynamics; tidal evolution; river-tide interaction

Special Issue Information

Dear Colleagues,

Tides are basic and important movements in the ocean. Accurate tidal predictions are necessary and essential for numerous marine activities, such as fishery, navigation, and coastal engineering. The non-negligible influences of tides and tidal mixing on ocean circulation and marine ecosystems have been indicated by numerical models, in situ observations, and remote sensing data. Now, more than ever, remote sensing data play a vital role in tidal research. Multisource satellite altimeter data such as TOPEX/Poseidon, Jason1, Jason2, and Jason3 have been assimilated into tidal models and have greatly improved the accuracy of numerical simulations of barotropic tides and internal tides. Satellite-derived sea-surface temperature and chlorophyll-a concentrations display noticeable spring-neap cycles which are important indicators of tide mixing.

As remote sensing observation technology improves, more high-frequency and accurate observation data of sea levels, sea surface temperature, and chlorophyll-a concentrations in the global ocean, especially coastal areas, are available, which provides a great opportunity to explore tidal evolution and tidal influences on ocean environments. Therefore, this Special Issue of Remote Sensing endeavors to assemble novel research that utilizes multisource remote sensing data and numerical models to study the spatial–temporal variations of barotropic tides and internal tides, as well as tidal influences on ocean circulation and marine ecosystems. We welcome you to submit one or more research and review articles to the Special Issue on “Remote Sensing and Numerical Simulation for tidal dynamics”.

Prof. Dr. Zexun Wei
Prof. Dr. R. Dwi Susanto
Prof. Dr. Zhenhua Xu
Dr. Tengfei Xu
Dr. Haidong Pan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

tidal dynamics
barotropic tides
internal tides
tidal mixing
tidal modeling with data assimilation
tidal effects on ocean environment

Published Papers (5 papers)

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Open AccessArticle

Improved Estimation of the Open Boundary Conditions in Tidal Models Using Trigonometric Polynomials Fitting Scheme

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Remote Sens. 2023, 15(2), 480; https://doi.org/10.3390/rs15020480 - 13 Jan 2023

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Abstract

Tidal open boundary conditions (OBCs) of the M₂ tidal constituent in the Bohai and Yellow Seas (BYS) are estimated via the assimilation of multi-satellite altimeter data to optimize regional tidal numerical simulation. A two-dimensional adjoint assimilation model is used for tidal numerical simulation and, as an improvement, trigonometric polynomials fitting (TPF) is applied in the inversion of OBCs. It is assumed that the linearized amplitudes/phases in the open boundary are spatially varying and can be represented by nonlinear functions. Based on the discrete Fourier series, taking the trigonometric function as the basis function, the spatially varying OBCs are constructed by selecting the maximum truncation period. The independent points scheme used in previous studies was also compared in the experiments. Twin experiments show that the errors of simulations with TPF are the smallest in different schemes, and their results show the highest correlation with observations while maintaining the best performance in terms of observation errors. The mean absolute errors (MAEs) in amplitude/phase between the simulated results using estimated OBCs and the satellite altimeter records are 2.82 cm and 2.26°, respectively. Full article

(This article belongs to the Special Issue Remote Sensing and Numerical Simulation for Tidal Dynamics)

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Open AccessArticle

Subseasonal Tidal Variability in the Gulf of Tonkin Observed by Multi-Satellite Altimeters and Tide Gauges

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Remote Sens. 2023, 15(2), 466; https://doi.org/10.3390/rs15020466 - 12 Jan 2023

Cited by 1 | Viewed by 786

Abstract

Exploring multi-timescale tidal variability is fundamental and necessary for numerous practical purposes, such as flood protection, marine cultivation, and ocean transport. It is well known that tides show significant seasonal, inter-annual, and 18.61-year nodal variability. Less known and less discussed is the subseasonal tidal variability (i.e., ter-annual, quarter-annual, and penta-annual cycles) in the coastal ocean. In this study, we explore subseasonal tidal modulations in the Gulf of Tonkin via the combination of four tide gauges and 27-year multi-satellite altimeter observations. Both tide gauges and satellite altimeters indicate that tidal subseasonality is significant in the Gulf of Tokin, although the amplitudes of subseasonal variations are much smaller than those of seasonal variations. Compared to spatially limited tide gauges, satellite altimeters successfully derive the basin-scale tidal subseasonality in the Gulf of Tonkin. The largest amplitude of subseasonal tidal constituents originated from the subseasonality of main tidal constituents, and can reach as high as 31.8 mm. It is suggested that subseasonal variations in ocean environments (e.g., sea levels and ocean stratification) induce tidal subseasonality through changing tidal propagation and dissipation. Although powerful, satellite altimeters also have some defects. Due to tidal aliasing related to long-period sampling intervals, some subseasonal tidal constituents are indistinguishable in satellite altimeter records. Full article

(This article belongs to the Special Issue Remote Sensing and Numerical Simulation for Tidal Dynamics)

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Open AccessArticle

The Temporal Evolution of Coastlines in the Bohai Sea and Its Impact on Hydrodynamics

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Remote Sens. 2022, 14(21), 5549; https://doi.org/10.3390/rs14215549 - 03 Nov 2022

Cited by 2 | Viewed by 737

Abstract

Over the past 40 years, increasing coastal reclamation and natural sedimentation has changed coastline positions and resulted in variation in the hydrodynamic environment in the Bohai Sea (BHS), China. Based on the Landsat series images, an interpretative identifier for identifying the coastline was proposed to assess the hydrodynamic changes caused by the coastline change and was applied to a typical case of the Bohai Sea (BHS), China. We combined a grid-based coastline position with an adjoint data assimilation method to seamlessly map the distribution of the amplitude, phase lag, and tidal current of the M₂ tidal constituent along the BHS’s coast from 1985 to 2018. Our findings reveal that the coastline change at long time scales dominated reclamation, and around 72.9% of the coastline of the BHS mapped in 2018 had seaward movement compared with its position in 1985. From 1985 to 2018, the BHS volume decreased by 0.17%, the sea surface area decreased by 4.54%, and the kinetic energy increased by 2.53%. The change in the coastline increased the amplitude of the M₂ tidal constituent in the Bohai Bay by 6–14 cm and increased the residual current in the eastern coast of the Liaodong Bay by up to 0.07 (0.01) m/s. Full article

(This article belongs to the Special Issue Remote Sensing and Numerical Simulation for Tidal Dynamics)

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Open AccessArticle

Anomalous 18.61-Year Nodal Cycles in the Gulf of Tonkin Revealed by Tide Gauges and Satellite Altimeter Records

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Remote Sens. 2022, 14(15), 3672; https://doi.org/10.3390/rs14153672 - 31 Jul 2022

Cited by 6 | Viewed by 926

Abstract

Understanding nodal tidal characteristics is essential for accurate long-term tidal prediction. Observational nodal evolution of tides is mainly based on tide gauge records in coastal areas which are limited in time and space, thus impeding coherent determinations of basin-wide patterns of tidal variability. In this paper, we indicate the potential of satellite altimeter data to investigate 18.61-year nodal modulations of main constituents in the Gulf of Tonkin. Three tide gauges and multi-source satellite altimeter observations (TOPEX/Poseidon, Jason1, Jason2, and Jason3) revealed that 18.61-year nodal cycles in tidal amplitudes have noticeable deviations from the equilibrium tidal theory in the Gulf of Tonkin. In general, M₂ and N₂ nodal modulations are anomalously larger than theoretical values while K₂, K₁, and O₁ nodal modulations are noticeably smaller than theoretical values. Compared to point-based tide gauges, satellite altimeter records can provide basin-wide features of nodal modulations of main constituents. Although overlapping geographical blocks are applied to eliminate the effect of tidal alias originated from long-period sampling intervals, the estimation of nodal cycles of minor constituents are still questionable. Nevertheless, the methods described here provide a strong foundation for future research on time-varying tidal dynamics using the combination of tide gauges and satellite altimeter data. Full article

(This article belongs to the Special Issue Remote Sensing and Numerical Simulation for Tidal Dynamics)

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Open AccessTechnical Note

A Novel Method to Improve the Estimation of Ocean Tide Loading Displacements for K₁ and K₂ Components with GPS Observations

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Remote Sens. 2023, 15(11), 2846; https://doi.org/10.3390/rs15112846 - 30 May 2023

Viewed by 324

Abstract

The accurate estimation of ocean tide loading displacements is essential and necessary for geodesy, oceanic and geophysical studies. It is common knowledge that K₁ and K₂ tidal constituents estimated from Global Positioning System (GPS) observations are unsatisfactory because their tidal periods are nearly same to the revisit cycle or orbital period of GPS constellation. To date, this troublesome problem is not fully solved. In this paper, we revisit this important issue and develop a novel method based on the unique characteristic of tidal waves to separate GPS-system errors from astronomical K₁/K₂ tides. The well-known credo of smoothness indicates that tidal admittances of astronomical constituents in a narrow band can be expressed as smooth functions of tidal frequencies, while the interference of GPS-system errors seriously damages the smooth nature of observed tidal admittances. Via quadratic fitting, smooth functions of tidal frequencies for tidal admittances can be determined, thus, astronomical K₁ and K₂ tides can be interpolated using fitted quadratic functions. Three GPS stations are selected to demonstrate our method because of their typicality in terms of poor estimates of K₁/K₂ tidal parameters related to GPS-system errors. After removing GPS-systematical contributions based on our method, corrected K₁/K₂ tides at three GPS stations are much closer to the modeled K₁/K₂ tides from FES2014, which is one of the most accurate tide models. Furthermore, the proposed method can be easily applied to other areas to correct GPS-system errors because their smooth nature is valid for global tidal signals. Full article

(This article belongs to the Special Issue Remote Sensing and Numerical Simulation for Tidal Dynamics)

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