4.7 Article

Regional Evaluation of Minor Tidal Constituents for Improved Estimation of Ocean Tides

期刊

REMOTE SENSING
卷 13, 期 16, 页码 -

出版社

MDPI
DOI: 10.3390/rs13163310

关键词

ocean tides; minor tides; satellite altimetry; tide models

资金

  1. DFG project TIDUS within the DFG research unit NEROGRAV [DE2174/12-1, TH864/15-1, RU 2736/1]
  2. Deutsches Klimarechenzentrum (DKRZ) - Scientific Steering Committee (WLA) [499]

向作者/读者索取更多资源

Satellite altimetry has greatly improved the understanding of global sea surface processes and tidal estimations. By comparing direct estimations and using admittance theory, researchers have identified which minor tidal constituents should be directly estimated for optimal tidal corrections. The study also suggests that incorporating minor tides from multiple tide models can further improve the accuracy of tidal corrections and reduce sea-level variance.
Satellite altimetry observations have provided a significant contribution to the understanding of global sea surface processes, particularly allowing for advances in the accuracy of ocean tide estimations. Currently, almost three decades of satellite altimetry are available which can be used to improve the understanding of ocean tides by allowing for the estimation of an increased number of minor tidal constituents. As ocean tide models continue to improve, especially in the coastal region, these minor tides become increasingly important. Generally, admittance theory is used by most global ocean tide models to infer several minor tides from the major tides when creating the tidal correction for satellite altimetry. In this paper, regional studies are conducted to compare the use of admittance theory to direct estimations of minor tides from the EOT20 model to identify which minor tides should be directly estimated and which should be inferred. The results of these two approaches are compared to two global tide models (TiME and FES2014) and in situ tide gauge observations. The analysis showed that of the eight tidal constituents studied, half should be inferred (2N2, epsilon(2), MSF and T2), while the remaining four tides (J1, L2, mu(2) and nu(2)) should be directly estimated to optimise the ocean tidal correction. Furthermore, for certain minor tides, the other two tide models produced better results than the EOT model, suggesting that improvements can be made to the tidal correction made by EOT when incorporating tides from the two other tide models. Following on from this, a new approach of merging tidal constituents from different tide models to produce the ocean tidal correction for satellite altimetry that benefits from the strengths of the respective models is presented. This analysis showed that the tidal correction created based on the recommendations of the tide gauge analysis provided the highest reduction of sea-level variance. Additionally, the combination of the EOT20 model with the minor tides of the TiME and FES2014 model did not significantly increase the sea-level variance. As several additional minor tidal constituents are available from the TiME model, this opens the door for further investigations into including these minor tides and optimising the tidal correction for improved studies of the sea surface from satellite altimetry and in other applications, such as gravity field modelling.

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