Processed datasets for quantifying epoch-dependent bias in geodetic vertical land motion estimates from tide-gauge records

This repository contains the processed datasets and supplementary materials supporting the analysis presented in: Erkoç, M.H. (2026). Epoch-dependent bias in geodetic estimates of vertical land motion from tide-gauge records. The dataset provides all derived quantities used in the study, enabling full reproducibility of the results and figures. Contents: 1. Supplementary_S1 (Station-level results and regime summaries)- Station-level VLM estimates derived from ALT–TG decomposition- Bias estimates relative to GNSS (full record and post-1993)- Epoch-contamination values (Δ_epoch = Bias_full − Bias_post93)- Regime classification and clustering outputs used in Table 1 and Fig. 2 2. Supplementary_S2–S3 (Statistical robustness and sensitivity tests)- Jackknife resampling results (leave-one-out)- Monte Carlo subsampling outputs (leave-10-out, 2000 realizations)- Structural break analysis (Bai–Perron)- Record-length and window-length sensitivity tests 3. Supplementary_S4 (GNSS co-location sensitivity)- Distance-based sensitivity analysis between tide gauges and GNSS stations- Subset statistics for stations within 20 km 4. Supplementary_Table_S1 (AR6 projection sensitivity scenarios)- Regime-level sea-level projections under SSP2-4.5- Four bias-correction scenarios (constant, decaying, post-1993 only, non-atmospheric residual)- Scenario spread used to quantify epistemic uncertainty 5. ERA5 inverse barometer (IB) dataset- Basin-level atmospheric pressure trends- Pre- and post-1993 IB contributions- Adjusted coefficients for semi-enclosed basins 6. Processed input datasets- Matched GNSS–tide gauge station pairs- ERA5 pressure time series at station locations- AR6 projection values used for scenario propagation All datasets are provided in machine-readable CSV format and correspond directly to the results, tables, and figures presented in the manuscript. No additional processing is required to reproduce the reported findings.本仓库收录了支撑下述研究分析的经预处理数据集与补充材料： Erkoç, M.H. (2026). 基于验潮仪记录的垂直陆地运动大地测量估算中的历元依赖性偏差。 本数据集包含研究中使用的全部衍生量，可实现研究结果与图表的完全复现。 内容清单： 1. 补充材料S1（台站级结果与状态汇总） - 基于ALT–TG分解得到的台站级垂直陆地运动（VLM）估算值 - 相对于全球导航卫星系统（GNSS）的偏差估算值（完整记录时段与1993年后时段） - 历元污染值（Δ_epoch = Bias_full − Bias_post93） - 用于表1与图2的状态分类与聚类结果 2. 补充材料S2–S3（统计稳健性与敏感性检验） - 刀切重采样（留一法）结果 - 蒙特卡洛子采样输出（留10法，2000次重复实验） - 结构断点检验（白-佩荣（Bai–Perron）检验） - 记录长度与窗口长度敏感性检验 3. 补充材料S4（GNSS共址敏感性） - 验潮仪与GNSS台站间基于距离的敏感性分析 - 20公里范围内台站的子集统计量 4. 补充表S1（AR6第六次评估报告敏感性情景） - SSP2-4.5情景下的状态级海平面预测值 - 四种偏差校正情景（恒定、衰减、仅1993年后、非大气残差） - 用于量化认知不确定性的情景离散度 5. ERA5反气压（IB）数据集 - 流域级大气压力趋势 - 1993年前后的反气压贡献 - 半封闭流域的校正系数 6. 经预处理的输入数据集 - 匹配的GNSS–验潮仪台站对 - 台站位置处的ERA5气压时间序列 - 用于情景传播的AR6第六次评估报告预测值 所有数据集均采用机器可读的CSV格式提供，与论文中呈现的结果、表格及图表直接对应，无需额外处理即可复现报告中的研究结论。