| Summary: | In the Arctic Ocean, tides affect ocean circulation and mixing, and sea ice dynamics and thermodynamics. Significant advances have been made in global ocean tide models; however, models of tides in the Arctic are hampered by the poorly-mapped bottom topography, the dynamical influence of sea ice, and limitations on satellite altimetry measurements due to the high latitudes and presence of sea ice. An additional factor is the limited availability of sea surface height (SSH) data in the Arctic. In-situ measurements from coastal tide gauges and ocean bottom pressure sensors are crucial sources of information that can be used to understand the spatial variability of tides, interpret the undersampled satellite SSH records, and validate the advances made in tide models. Global in-situ tidal constituent databases contain values for a limited number of sites in the Arctic; for example, TICON-3 (Hart-Davis et al 2022) contains 111 stations above 60°N and 21 above 70°N, with most of these being around North America. Here, we present a comprehensive dataset of tidal constituents in the Arctic region. This dataset combines analyses of in-situ measurements from coastal tide gauges, ocean bottom pressure sensors and GNSS reflectometry, which results in tidal coefficients for 914 sites above 60°N and 399 above 70°N with a much greater spatial distribution across the full Arctic Ocean than for existing global tidal datasets. The resultant dataset is quality assessed and compared to recent tide models to determine the reliability of the different data sources used.
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