Arctic Tidal Constituent Atlas (ArcTiCA) : A database of tide elevation constituents for the Arctic region from 1800 through present day.

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, their performance in the Arctic is hampered by poorly-mapped bottom topography, the dynamical influence of sea ice on tides, 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 satellite SSH records that are undersampled in time, 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 and Norway. 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 global navigation satellite system (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. Hart-Davis, M.G., Dettmering, D., & Seitz, F. (2022). TICON-3: Tidal Constants based on GESLA-3 sea-level records from globally distributed tide gauges including gauge type information (data). PANGAEA, https://doi.org/10.1594/PANGAEA.951610

北冰洋中的潮汐会对海洋环流与混合过程，以及海冰动力学与热力学过程产生影响。当前全球海洋潮汐模型已取得显著进展，但它们在北极海域的应用表现受限于三大因素：一是海底地形测绘精度不足，二是海冰对潮汐的动力影响，三是高纬度海域与海冰覆盖导致卫星测高测量存在局限。此外，北极海域的海平面高度（sea surface height, SSH）数据可获取性有限。沿海潮位计与海底压力传感器的原位测量数据，是理解潮汐空间变异特征、解译时间采样不足的卫星SSH观测记录、验证潮汐模型进展的关键信息来源。现有全球原位潮汐组分数据库仅收录了北极地区少量测站的数据，例如TICON-3（Hart-Davis等，2022）包含60°N以北的111个测站、70°N以北的21个测站，其中绝大多数测站分布在北美与挪威周边区域。
本研究构建了一套覆盖北极区域的潮汐组分综合数据集。该数据集整合了沿海潮位计、海底压力传感器与全球导航卫星系统（GNSS）反射测量的原位数据分析结果，最终得到914个60°N以北、399个70°N以北测站的潮汐系数，其空间分布覆盖整个北冰洋的范围远大于现有全球潮汐数据集。本数据集已完成质量评估，并与近期发布的潮汐模型进行对比分析，以确定所用各类数据源的可靠性。
Hart-Davis, M.G., Dettmering, D., & Seitz, F. (2022). TICON-3: 基于全球分布潮位计的GESLA-3海平面记录构建的潮汐常数（含测站类型信息）（数据）. PANGAEA, https://doi.org/10.1594/PANGAEA.951610