Year by year closure adjustment of global mean sea level budget, inclusive of lumped snow, water vapor, and permafrost mass components

IF 0.9 Q4 REMOTE SENSING Journal of Geodetic Science Pub Date : 2020-01-01 DOI:10.1515/jogs-2020-0109
H. Iz, C. K. Shum
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引用次数: 2

Abstract

Abstract Global mean sea level budget is rigorously adjusted during the period 2005–2015 with an emphasis on closing the budget on a year by year basis as opposed to using linear trends of global mean sea level components. The adjustment also accounts for the effect of snow, water vapor, and permafrost mass components as a lump sum. The approach provides better resolution for evaluating individual contribution of each budget component year by year in tandem with the other components. Year by year budget misclosures and the confidence intervals of the year by year adjusted budget components are suggestive of an increasing non-linearity in satellite altimetry derived global mean sea level measurements starting in 2012, which are not present in the other components. The solution also generates time series iteratively for the lumped snow, water vapor, and permafrost mass components as well as an estimate for its linear trend, 0.06±0.59 mm/yr. Nonetheless, its standard error is markedly large because of the un-modeled variability in satellite altimetry observed yearly averaged global mean sea level anomalies.
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全球平均海平面收支的逐年关闭调整,包括集总雪、水汽和永久冻土质量分量
全球平均海平面预算在2005-2015年期间进行了严格调整,重点是在逐年的基础上关闭预算,而不是使用全球平均海平面分量的线性趋势。调整还考虑了积雪、水汽和永久冻土质量分量的影响。这种方法可以更好地解决每年与其他组成部分一起评估每个预算组成部分的个别捐款的问题。逐年预算误闭和逐年调整预算分量的置信区间表明,从2012年开始,卫星测高得到的全球平均海平面测量值的非线性增加,这在其他分量中不存在。该解决方案还可以迭代地生成集总雪、水蒸气和永久冻土质量成分的时间序列,以及其线性趋势的估计,0.06±0.59 mm/yr。尽管如此,由于卫星测高观测到的年平均全球平均海平面异常的未模拟变率,其标准误差明显很大。
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来源期刊
Journal of Geodetic Science
Journal of Geodetic Science REMOTE SENSING-
CiteScore
1.90
自引率
7.70%
发文量
3
审稿时长
14 weeks
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