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Heterogeneous oceanic mass distribution in GRACE observations and its leakage effect
Geophysical Journal International ( IF 2.8 ) Pub Date : 2020-01-10 , DOI: 10.1093/gji/ggaa022
Shuang Yi 1, 2 , Kosuke Heki 2
Affiliation  

SUMMARY
Signal leakage between the land and ocean is a challenge in using Gravity Recovery and Climate Experiment (GRACE) observation data to study global mass redistributions. Although the leakage occurs in both directions, more attention has been paid to the land-to-ocean leakage and less to the ocean-to-land leakage. Here, we show that the ocean-to-land leakage is non-uniform and non-negligible and propose a new forward modelling method to fully consider bi-directional leakages with the help of the global Ocean ReAnalysis System ORAS5. This observation-driven model could significantly reduce the variations in ocean grids and thus decrease the ocean-to-land leakage. The results with different treatment of the ocean signal leakage are compared. We find that failing to consider the ocean-to-land leakage will cause an underestimation of ∼20 per cent in the seasonal variation and will introduce a bias of several giga-tons in the secular trend. Although the uniform and non-uniform model have similar results in the global average of seasonal mass variations, the non-uniform ocean model is necessary in most places, especially near the Arctic Ocean, the Sea of Japan and the Gulf of Carpentaria. Despite these achievements, we also point out that there is still much room for improvement in ocean mass models, particularly in long-term trends. Our results indicate the importance of the ocean-to-land leakage correction in the mass estimation in coastal land areas using the GRACE data.


中文翻译:

GRACE观测中的非均质海洋质量分布及其泄漏效应

概要
使用重力恢复和气候实验(GRACE)观测数据来研究全球质量再分布时,陆地和海洋之间的信号泄漏是一个挑战。尽管泄漏发生在两个方向,但更多的注意力集中在陆地对海洋的泄漏上,而对海洋对陆地的泄漏则较少。在这里,我们表明海对陆泄漏是不均匀且不可忽略的,并借助全球海洋再分析系统ORAS5提出了一种新的正向建模方法,可以充分考虑双向泄漏。这种以观测为驱动的模型可以大大减少海洋网格的变化,从而减少海洋到陆地的泄漏。比较了不同处理海洋信号泄漏的结果。我们发现,如果不考虑海陆泄漏,将导致季节性变化低估约20%,并在长期趋势中造成几千兆吨的偏差。尽管均匀和非均匀模型在全球季节性质量变化平均值上具有相似的结果,但在大多数地方,尤其是在北冰洋,日本海和卡彭塔里亚湾附近,非均匀海洋模型是必需的。尽管取得了这些成就,但我们也指出,海洋质量模型仍有很大的改进空间,尤其是在长期趋势方面。我们的结果表明,使用GRACE数据对沿海土地面积进行大规模估算时,纠正海陆漏失的重要性。尽管均匀和非均匀模型在全球季节性质量变化平均值上具有相似的结果,但在大多数地方,尤其是在北冰洋,日本海和卡彭塔里亚湾附近,非均匀海洋模型是必需的。尽管取得了这些成就,但我们也指出,海洋质量模型仍有很大的改进空间,尤其是在长期趋势方面。我们的结果表明,使用GRACE数据对沿海土地面积进行大规模估算时,纠正海陆漏失的重要性。尽管均匀和非均匀模型在全球季节性质量变化平均值上具有相似的结果,但在大多数地方,尤其是在北冰洋,日本海和卡彭塔里亚湾附近,非均匀海洋模型是必需的。尽管取得了这些成就,但我们也指出,海洋质量模型仍有很大的改进空间,尤其是在长期趋势方面。我们的结果表明,利用GRACE数据,在修正沿海地区陆地面积时,对海陆泄漏校正非常重要。我们还指出,海洋质量模型仍有很大的改进空间,尤其是在长期趋势中。我们的结果表明,利用GRACE数据,在修正沿海地区陆地面积时,对海陆泄漏校正非常重要。我们还指出,海洋质量模型仍有很大的改进空间,尤其是在长期趋势中。我们的结果表明,利用GRACE数据,在修正沿海地区陆地面积时,对海陆泄漏校正非常重要。
更新日期:2020-02-18
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