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Tranchant Y.-T., C. Chupin, L. Testut, V. Ballu, O. Laurain, P. Bonnefond. (2020). A new high-resolution coastal model in Kerguelen Island for CAL/VAL operations.
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Téchiné P., L. Testut, G. Woppelmann, M. Gravelle, M. Guichard, V. Kérébel, E. Pouteau, T. Donal, S. Enet, C. Fraboul, R. Lhullier, N. Pouvreau, A. Guilot, C. Brachet, M. Calzas, C. Drezen, L. Fichen. (2022). SNO SONEL (Service d’Observation du Niveau des Eaux Littorales).
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Philip L. Woodworth. (2022). Advances in the observation and understanding of changes in sea level and tides (Vol. 1516).
Abstract: Climate change, of which sea level change is one component, is seldom out of the news. This paper reviews developments in the measurement and understanding of changes in sea level and tides, focusing on the changes during the past century. The main aim has been to demonstrate how sea level and tidal science are now connected intimately with the fields of climate change and geodesy.
Keywords: extreme sea levels MSL changes ocean circulation variability ocean tides and their changes sea level and geodesy vertical land movements
Programme: 688
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Kyriakos Balidakis, Roman Sulzbach, Linus Shihora, Christoph Dahle, Robert Dill, Henryk Dobslaw. (2022). Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry (Vol. 14).
Keywords: atmospheric forcing atmospheric tides de-aliasing ERA5 GRACE-FO ocean tides
Programme: 688
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Ivan D. Haigh, Marta Marcos, Stefan A. Talke, Philip L. Woodworth, John R. Hunter, Ben S. Hague, Arne Arns, Elizabeth Bradshaw, Philip Thompson. (2022). GESLA Version 3: A major update to the global higher-frequency sea-level dataset (Vol. 10).
Abstract: This paper describes a major update to the quasi-global, higher-frequency sea-level dataset known as GESLA (Global Extreme Sea Level Analysis). Versions 1 (released 2009) and 2 (released 2016) of the dataset have been used in many published studies, across a wide range of oceanographic and coastal engineering-related investigations concerned with evaluating tides, storm surges, extreme sea levels, and other related processes. The third version of the dataset (released 2021), presented here, contains double the number of years of data, and nearly four times the number of records, compared to Version 2. The dataset consists of records obtained from multiple sources around the world. This paper describes the assembly of the dataset, its processing, and its format, and outlines potential future improvements.
Keywords: sea level records sea level rise storm surges storm tides tide gauge
Programme: 688
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Kristin N. Barton, Nairita Pal, Steven R. Brus, Mark R. Petersen, Brian K. Arbic, Darren Engwirda, Andrew F. Roberts, Joannes J. Westerink, Damrongsak Wirasaet, Michael Schindelegger. (2022). Global Barotropic Tide Modeling Using Inline Self-Attraction and Loading in MPAS-Ocean (Vol. 14).
Abstract: We examine ocean tides in the barotropic version of the Model for Prediction Across Scales (MPAS-Ocean), the ocean component of the Department of Energy Earth system model. We focus on four factors that affect tidal accuracy: self-attraction and loading (SAL), model resolution, details of the underlying bathymetry, and parameterized topographic wave drag. The SAL term accounts for the tidal loading of Earth's crust and the self-gravitation of the ocean and the load-deformed Earth. A common method for calculating SAL is to decompose mass anomalies into their spherical harmonic constituents. Here, we compare a scalar SAL approximation versus an inline SAL using a fast spherical harmonic transform package. Wave drag accounts for energy lost by breaking internal tides that are produced by barotropic tidal flow over topographic features. We compare a series of successively finer quasi-uniform resolution meshes (62.9, 31.5, 15.7, and 7.87 km) to a variable resolution (45 to 5 km) configuration. We ran MPAS-Ocean in a single-layer barotropic mode forced by five tidal constituents. The 45 to 5 km variable resolution mesh obtained the best total root-mean-square error (5.4 cm) for the deep ocean (1,000 m) tide compared to TPXO8 and ran twice as fast as the quasi-uniform 8 km mesh, which had an error of 5.8 cm. This error is comparable to those found in other forward (non-assimilative) ocean tide models. In future work, we plan to use MPAS-Ocean to study tidal interactions with other Earth system components, and the tidal response to climate change.
Keywords: barotropic tides E3SM MPAS-Ocean numerical ocean modeling self-attraction and loading surface tides
Programme: 688
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Roman Sulzbach, Hartmut Wziontek, Michael Hart-Davis, Henryk Dobslaw, Hans-Georg Scherneck, Michel Van Camp, Ove Christian Dahl Omang, Ezequiel D. Antokoletz, Christian Voigt, Denise Dettmering, Maik Thomas. (2022). Modeling gravimetric signatures of third-degree ocean tides and their detection in superconducting gravimeter records (Vol. 96).
Keywords: Degree-3 tides Superconducting gravimetry Tidal analysis Tidal modeling Tide gauge data
Programme: 688
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Ole Richter, David E. Gwyther, Benjamin K. Galton-Fenzi, Kaitlin A. Naughten. (2022). The Whole Antarctic Ocean Model (WAOM v1.0): development and evaluation (Vol. 15).
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. (2021). Constraining 20th-Century Sea-Level Rise in the South Atlantic Ocean (Vol. 126).
Keywords: data rescue salt-marsh proxies sea-level changes South Atlantic tide gauges
Programme: 688
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R. Sulzbach, H. Dobslaw, M. Thomas. (2021). High-Resolution Numerical Modeling of Barotropic Global Ocean Tides for Satellite Gravimetry (Vol. 126).
Keywords: M2-tide minor tides pole-rotation self-attraction and loading tide-generating potential topographic wavedrag
Programme: 688
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