Evidences of Seasonal Variation in Altimetry Derived Ocean Tides in the Subarctic Ocean

Fok, Hok Sum; Shum, C. K.; Yi, Yuchan; Braun, Alexander; İ̇z, H. Bâki

doi:10.3319/tao.2012.11.16.01(tibxs)

Cited by 6 publications

(4 citation statements)

References 21 publications

(25 reference statements)

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“…Tidal seasonality in the Subarctic ocean is also evident from the satellite altimeter data. Figure 1 from Fok et al (2013) clearly shows that SSH anomaly residual during the winter season is 15 − 30% larger than that during the summer season. This also means that the accuracy of the global tidal solutions can vary significantly between the seansons.…”

Section: Discussionmentioning

confidence: 95%

High resolution tidal model of Canadian Arctic Archipelago, Baffin and Hudson Bay

Kleptsova

Pietrzak

2018

Ocean Modelling

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Ice induced variability of tides in the Canadian Arctic Archipelago, including Baffin Bay and Hudson Strait/Hudson Bay system, was studied by means of a new high resolution tidal model. Here we show that the seasonal variations of the tidal constants are significant in the major part of the domain. Month to month changes of the tidal phases can reach 180 degrees due to changes in the number and positions of the amphidromic points, whereas the amplitude variations are especially large in the near resonant basins. We also show that the tidal seasonality has undergone dramatic changes in the past decades due the decaying extent of the Arctic sea ice. These seasonal/decadal scale changes not only vary tidal dissipation on the shelf, but also impact tides in the adjacent open ocean and, therefore, cannot be neglected.

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Section: Discussionmentioning

confidence: 95%

High resolution tidal model of Canadian Arctic Archipelago, Baffin and Hudson Bay

Kleptsova

Pietrzak

2018

Ocean Modelling

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“…The various parameterizations of dissipation, the energy loss through interactions with sea ice and ice shelves, the exchange of energy between barotropic and baroclinic motion, and the physics of internal wave drag remain outstanding topics for investigation. Further, we need improved understanding and modeling strategies of the seasonal variations of barotropic tides induced by interactions between barotropic tides and stratification as well as seasonal ice coverage [e.g., Ray et al , ; Müller et al , ; Fok et al , ].…”

Section: Discussionmentioning

confidence: 97%

Accuracy assessment of global barotropic ocean tide models

et al. 2014

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The accuracy of state-of-the-art global barotropic tide models is assessed using bottom pressure data, coastal tide gauges, satellite altimetry, various geodetic data on Antarctic ice shelves, and independent tracked satellite orbit perturbations. Tide models under review include empirical, purely hydrodynamic ("forward"), and assimilative dynamical, i.e., constrained by observations. Ten dominant tidal constituents in the diurnal, semidiurnal, and quarter-diurnal bands are considered. Since the last major model comparison project in 1997, models have improved markedly, especially in shallow-water regions and also in the deep ocean. The root-sum-square differences between tide observations and the best models for eight major constituents are approximately 0.9, 5.0, and 6.5 cm for pelagic, shelf, and coastal conditions, respectively. Large intermodel discrepancies occur in high latitudes, but testing in those regions is impeded by the paucity of high-quality in situ tide records. Long-wavelength components of models tested by analyzing satellite laser ranging measurements suggest that several models are comparably accurate for use in precise orbit determination, but analyses of GRACE intersatellite ranging data show that all models are still imperfect on basin and subbasin scales, especially near Antarctica. For the M 2 constituent, errors in purely hydrodynamic models are now almost comparable to the 1980-era Schwiderski empirical solution, indicating marked advancement in dynamical modeling. Assessing model accuracy using tidal currents remains problematic owing to uncertainties in in situ current meter estimates and the inability to isolate the barotropic mode. Velocity tests against both acoustic tomography and current meters do confirm that assimilative models perform better than purely hydrodynamic models.

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“…Further improvement of ocean tide modelling lies in better observation evidences and understanding of potential seasonality of tides that might be induced by interaction among barotropic tides, stratification and the seasonal ice coverage (Fok et al 2013), a technological advancement for better sea-state bias, radar waveform retracking along coastal regions, and over icy and sea-ice surfaces. More current and future altimetry missions, such as CryoSat-2, HY-2A, SARAL/Altika, Sentinel-3, Jason-3, ICESat-2 and SWOT, will further lengthen and enhance both the spatial and the temporal resolution of multi-altimeter data, particularly in higher latitude regions beyond TOPEXclass satellites, and thus, the spatial resolution of ocean tide models.…”

Section: Discussionmentioning

confidence: 99%

Data fusion of multisatellite altimetry for ocean tides modelling: a spatio-temporal approach with potential oceanographic applications

Fok

2015

International Journal of Image and Data Fusion

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To cite this article: Hok Sum Fok (2015) Data fusion of multisatellite altimetry for ocean tides modelling: a spatio-temporal approach with potential oceanographic applications, International Journal of Image and Data Fusion, 6:3, 232-248, Nowadays, data combination/fusion is a common practice to integrate multiple data sources into a spatially and/or temporally regular data set for facilitating analysis and interpretation. Given the advancement in active remote sensing for monitoring our changing environment (no matter ocean, land or ice), the data acquisition from various spaceborne platforms with different spatio-temporal resolutions is enormous; calling for a need of multisatellite data combination. Instead of equally or spatially weighted solution, this article illustrates a spatio-temporal combination approach that weights data both in space and in time simultaneously for ocean tide modelling using multisatellite altimetry data sets under different spatial and temporal resolutions. The tide models generated from this approach show substantial improvement near coastal regions when compared to other contemporary ocean tide models by using independent pelagic and coastal tide gauges serving as ground truth. The discrepancy of the best model is~23%, three times larger than that of the deep ocean. Further improvement lies in more and better spatio-temporal observations in the near future. We anticipate this approach can be applied to other spatio-temporal data in a similar settings for spatio-temporal dependent unknown parameters, including geodetic, geophysical, oceanographic data and imagery under different spatial and temporal resolutions.

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Evidences of Seasonal Variation in Altimetry Derived Ocean Tides in the Subarctic Ocean

Cited by 6 publications

References 21 publications

High resolution tidal model of Canadian Arctic Archipelago, Baffin and Hudson Bay

High resolution tidal model of Canadian Arctic Archipelago, Baffin and Hudson Bay

Accuracy assessment of global barotropic ocean tide models

Data fusion of multisatellite altimetry for ocean tides modelling: a spatio-temporal approach with potential oceanographic applications

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