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本数据集包含由加拿大环境与气候变化部（Environment and Climate Change Canada, ECCC）的全球确定性风暴潮预报系统（Global Deterministic Storm Surge Prediction System, GDSPS）生成的总海平面后报结果，旨在研究在线潮汐滤波器对沿海总海平面进行去潮汐处理的适用性。数据集的时间覆盖范围为2014年至2018年，共选取了与全球分布验潮站位置匹配的305个输出点作为样本。本次后报结果与Wang和Bernier（2015）所述的后报方案一致，仅按照Wang和Bernier（2013）提出的方法加入了海冰对潮汐的影响。有关后报生成过程的详细说明，请参阅原始研究论文。 参考文献： 1. Wang, P., & Bernier, N. B. (2025). 《极端海平面全球后报研究进展：基于65年研究的洞察》. 《天气与气候极端事件》, 100805. 2. Wang, P. & Bernier, N. B. (2023). 《全球业务化总水位预报模型（NEMO v3.6）中海冰效应的加入：方法与影响》. 《地球科学模型开发》(Geosci. Model Dev.), 16, 3335–3354, https://doi.org/10.5194/gmd-16-3335-2023