Application of singular spectrum analysis in reconstruction of the annual signal from GRACE
Application of singular spectrum analysis in reconstruction of the annual signal from GRACE
复制标题
奇异谱分析在GRACE年信号重建中的应用
DOI：
10.1515/jag-2020-0005
复制
发表时间：
2020
影响因子：
1.4
通讯作者：
Ming Chen
中科院分区：
文献类型：
--
作者：
Chu;ong Zhu;Wei Zhan;Jinzhao Liu;Ming Chen
摘要 长期变化的混合效应是单通道奇异谱分析（SSA）从 GRACE 数据重建年度信号的主要挑战。本文采用非线性长期变化推导方法来提高利用SSA从GRACE数据重建年度信号的准确性。我们的方法可以识别并消除从 GRACE 恢复的等效水位高度时间序列的非线性长期变化。因此，SSA的年模可以避免长期变化的混合效应。 GRACE回收的全球陆地水，年信号峰峰值在1.4cm至126.9cm之间，平均值为11.7cm。扣除长期和年期后，剩余时间序列的标准差在0.9~9.9cm之间，平均为2.1cm。与传统的最小二乘拟合方法相比，我们的方法可以更准确地反映全球陆地水体年度信号的动态变化，不确定度在0.3~2.9cm之间。
Abstract The mixture effect of the long-term variations is a main challenge in single channel singular spectrum analysis (SSA) for the reconstruction of the annual signal from GRACE data. In this paper, a nonlinear long-term variations deduction method is used to improve the accuracy of annual signal reconstructed from GRACE data using SSA. Our method can identify and eliminate the nonlinear long-term variations of the equivalent water height time series recovered from GRACE. Therefore the mixture effect of the long-term variations can be avoided in the annual modes of SSA. For the global terrestrial water recovered from GRACE, the peak to peak value of the annual signal is between 1.4 cm and 126.9 cm, with an average of 11.7 cm. After the long-term and the annual term have been deducted, the standard deviation of residual time series is between 0.9 cm and 9.9 cm, with an average of 2.1 cm. Compared with the traditional least squares fitting method, our method can reflect the dynamic change of the annual signal in global terrestrial water, more accurately with an uncertainty of between 0.3 cm and 2.9 cm.