Dataset for "Online Tidal Filters: Evaluation, Comparison, and Application for Coastal Sea-Level De-tiding"

This dataset contains a hindcast of total sea levels produced by ECCC’s Global Deterministic storm Surge Prediction System (GDSPS). It is used to investigate the appacability of online tidal filter for de-tiding coastal sea levels. The dataset covers the period 2014 to 2018. We consider a sample of 305 output points that match globally distributed tide gauge locations. The hindcast is the same as that described in (Wang and Bernier, 2015) except that sea ice effects on tides are included following the approach in (Wang and Bernier, 2013). Readers are referred to the original paper for a more detailed description of the hindcast production. Wang, P., & Bernier, N. B. (2025). Advancing global hindcast of extreme sea levels: Insights from a 65-year study. Weather and Climate Extremes, 100805. Wang, P. & Bernier, N. B. (2023). Adding sea ice effects to a global operational model (NEMO v3.6) for forecasting total water level: approach and impact. Geosci. Model Dev., 16, 3335–3354, https://doi.org/10.5194/gmd-16-3335-2023