Trends and uncertainties of mass-driven sea-level change in the satellite altimetry era

C. Camargo, R. Riva, T. Hermans, A. Slangen
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引用次数: 3

Abstract

Abstract. Ocean mass change is one of the main drivers of present-day sea-level change (SLC). Also known as barystatic SLC, ocean mass change is caused 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. While many studies have quantified the present-day barystatic contribution to global mean SLC, fewer works have looked into regional changes. This study provides an analysis of regional patterns of contemporary mass redistribution associated with barystatic SLC since 1993 (the satellite altimetry era), with a focus on the uncertainty budget. We consider three types of uncertainties: intrinsic (the uncertainty from the data/model itself), temporal (related to the temporal variability in the time series) and spatial–structural (related to the spatial distribution of the mass change sources). Regional patterns (fingerprints) of barystatic SLC are computed from a range of estimates of the individual freshwater sources and used to analyze the different types of uncertainty. Combining all contributions, we find that regional sea-level trends range from −0.4 to 3.3 mm yr−1 for 2003–2016 and from −0.3 to 2.6 mm yr−1 for 1993–2016, considering the 5–95th percentile range across all grid points and depending on the choice of dataset. When all types of uncertainties from all contributions are combined, the total barystatic uncertainties regionally range from 0.6 to 1.3 mm yr−1 for 2003–2016 and from 0.4 to 0.8 mm yr−1 for 1993–2016, also depending on the dataset choice. We find that the temporal uncertainty dominates the budget, responsible on average for 65 % of the total uncertainty, followed by the spatial–structural and intrinsic uncertainties, which contribute on average 16 % and 18 %, respectively. The main source of uncertainty is the temporal uncertainty from the land water storage contribution, which is responsible for 35 %–60 % of the total uncertainty, depending on the region of interest. Another important contribution comes from the spatial–structural uncertainty from Antarctica and land water storage, which shows that different locations of mass change can lead to trend deviations larger than 20 %. As the barystatic SLC contribution and its uncertainty vary significantly from region to region, better insights into regional SLC are important for local management and adaptation planning.
卫星测高时代质量驱动海平面变化的趋势和不确定性
摘要海洋质量变化是当今海平面变化的主要驱动因素之一。海洋质量变化也被称为重力静态SLC,是由陆地和海洋之间的淡水交换引起的,例如冰川和冰盖的大陆冰融化,以及陆地蓄水量的变化。虽然许多研究已经量化了当今重心对全球平均SLC的贡献,但很少有研究涉及区域变化。本研究分析了自1993年(卫星测高时代)以来与静态SLC相关的当代质量再分配的区域模式,重点是不确定性预算。我们考虑三种类型的不确定性:内在的(来自数据/模型本身的不确定性),时间(与时间序列中的时间变异性有关)和空间-结构(与质量变化源的空间分布有关)。根据对单个淡水源的一系列估计计算出静态SLC的区域模式(指纹),并用于分析不同类型的不确定性。综合所有贡献,我们发现区域海平面趋势在-0.4到3.3之间 毫米 2003-2016年−1年,从−0.3到2.6 毫米 1993–2016年的第−1年,考虑到所有网格点的第5-95百分位范围,并取决于数据集的选择。当所有贡献的所有类型的不确定性加在一起时,区域内的总重心不确定性范围为0.6至1.3 毫米 2003-2016年第1年,从0.4年到0.8年 毫米 1993–2016年的yr−1,也取决于数据集的选择。我们发现,时间上的不确定性在预算中占主导地位,平均占65 % 占总不确定性的百分比,其次是空间-结构和内在不确定性,平均贡献16 % 和18 %, 分别地不确定性的主要来源是陆地蓄水贡献的时间不确定性,这导致了35 %–60 % 总不确定性的百分比,取决于感兴趣的区域。另一个重要贡献来自南极洲和陆地蓄水的空间-结构不确定性,这表明质量变化的不同位置可能导致大于20的趋势偏差 %.由于重心SLC的贡献及其不确定性因地区而异,因此更好地了解地区SLC对地方管理和适应规划至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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