Data underlying the publication: Trends and Uncertainties of Mass-driven Sea-level Change in the Satellite Altimetry Era (1993-2016)

Regional mass-drive (barystatic) sea-level change trend and uncertainties, from 2003-2016 and 1993-2016.<br> Barystatic sea-level change (also known as ocean mass change) is driven by the exchange of freshwater between the land and the ocean, such as melting of continental ice from glaciers and ice sheets, and variations in land water storage. <br> Here, we use a range of estimates for the individual freshwater sources, which are used to compute regional patterns (fingerprints) of barystatic sea-level change. <br> We then compute the trend (rate of sea-level change), and quantify three types of uncertainties of these regional barystatic sea-level change fields: 1. Intrinsic uncertainty: related to the observational error; 2. Temporal uncertainty: related to the temporal variability in the time series; 3. Spatial-structural: related to the location/distribution of the mass change sources; <br> The analysis and results published are based on relative sea-level fingerprints. We also provide the absolute fingerprints. <br> The methods used to obtain this dataset, as well as the results, are presented in the manuscript <em>"Trends and Uncertainties of Mass-driven Sea-level Change in the Satellite Altimetry Era", published</em> in <em>Earth System Dynamics (</em>https://doi.org/10.5194/esd-2021-80<em>)</em> <br> <br> Code for exploring this dataset can be found on: https://github.com/carocamargo/barystatic_SL <br>

区域质量驱动型（barystatic）海平面变化趋势及不确定性，时间跨度涵盖2003-2016年与1993-2016年。
质量平衡海平面变化（barystatic sea-level change，亦称海洋质量变化）由陆地与海洋间的淡水交换过程驱动，例如冰川与冰盖的大陆冰消融，以及陆地水储量的变化。
本研究采用多组单一淡水源估算值，用于计算质量平衡海平面变化的区域分布型（fingerprints）。
随后，本研究计算了该区域质量平衡海平面变化场的趋势（海平面变化速率），并量化了三类不确定性：1. 固有不确定性：与观测误差相关；2. 时间不确定性：与时间序列的时间变异性相关；3. 空间结构不确定性：与质量变化源的位置/分布相关。
已发表的分析与结果基于相对海平面指纹型，本数据集同时提供绝对海平面指纹型。
本数据集的构建方法与研究结果已刊载于《Earth System Dynamics》期刊的论文"Trends and Uncertainties of Mass-driven Sea-level Change in the Satellite Altimetry Era"，DOI链接为https://doi.org/10.5194/esd-2021-80。

本数据集的探索代码可在以下链接获取：https://github.com/carocamargo/barystatic_SL