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Abstract
Tides in the Arctic Ocean affect ocean circulation and mixing, and sea ice dynamics and thermodynamics. However, there is a limited network of available in situ tidal coefficient data for understanding tidal variability in the Arctic Ocean; e.g., the global TICON-3 database contains only 111 sites above 60°N and 21 above 70°N. At the same time, the presence of sea ice and latitude limits of satellite altimetry complicate altimetry-based retrievals of Arctic tidal coefficients. This leads to a reliance on ocean tide models whose accuracy depend on having sufficient in situ data for validation and assimilation. Here, we present a comprehensive new dataset of tidal constituents in the Arctic region, combining analyses of in situ measurements from tide gauges, ocean bottom pressure sensors and GNSS interferometric reflectometry. The new dataset contains 914 measurement sites above 60°N and 399 above 70°N, with each site being quality-assessed and expert guidance provided to help maximise the usage of the dataset. We also compare the dataset to recent tide models.
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1 Technische Universität München, Deutsches Geodätisches Forschungsinstitut, Munich, Germany (GRID:grid.6936.a) (ISNI:0000 0001 2322 2966)
2 Earth and Space Research, Seattle, USA (GRID:grid.272110.7)
3 NASA Goddard Space Flight Center, Geodesy & Geophysics Lab., Greenbelt, USA (GRID:grid.133275.1) (ISNI:0000 0004 0637 6666)
4 Technical University of Denmark, National Space Institute, Kongens, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870)
5 Earth and Space Research, Corvallis, USA (GRID:grid.272110.7)
6 The University Centre in Svalbard, Longyearbyen, Norway (GRID:grid.20898.3b) (ISNI:0000 0004 0428 2244)