基于GRACE数据的青藏高原陆地储水量年际变化

IF 1.2 Q4 REMOTE SENSING
Chuandong Zhu, Wei Zhan
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引用次数: 0

摘要

摘要基于从GRACE数据中恢复的青藏高原多维等效水位(EWH)时间序列,采用旋转多通道奇异谱分析(RMSSA)方法分离和重建了其更准确的陆地蓄水年际振荡局部模式。结果表明,RMSSA可以有效地抑制MSSA的模式混合,改善TWS年际振荡的物理解释。青藏高原(QTP)的多维EWH序列有三个显著的年际振荡,周期分别为6.1a、3.4a和2.5a,占38.5 %, 23.5 %, 和16.7 % 分别为总方差的百分比(扣除季节性和长期性因素后)。这三种年际振荡的空间格局和传播路径不同,并表现出各自独立的局部特征。基于对多源GRACE GSM数据的分析,结果表明,数据解算误差对TWS年际振荡的提取影响不大。在使用RMSSA的QTP的CPC水文模型中也发现了显著的6.4a、3.5a和2.5a年际振荡,分别为22.9、29.9和19.3 % 分别占总方差的百分比。从GRACE和CPC中分离出的三个年际振荡分别显示出相似的空间模式和显著的互相关。最大互相关系数在95 % 置信水平超过42、71和75 % 分别为QTP中网格的。结果表明,GRACE的土壤水分和陆地蓄水量在QTP中具有共同的年际振荡和相应的驱动因素。我们得出结论,TWS的这三个年际振荡可以用北极振荡、海洋Niña和印度洋偶极子的影响来解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inter-annual oscillations of terrestrial water storage in Qinghai-Tibetan plateau from GRACE data
Abstract Based on multidimensional equivalent water height (EWH) time series in the Qinghai-Tibetan Plateau recovered from GRACE data, rotated multi-channel singular spectrum analysis (RMSSA) was employed to separate and reconstruct its more accurate local mode of inter-annual oscillations of terrestrial water storage (TWS). The results show that RMSSA could effectively suppress the mode mixture of MSSA, and improve the physical interpretation of the inter-annual oscillations of TWS. Three significant inter-annual oscillations with periods of 6.1a, 3.4a, and 2.5a have been found in the multidimensional EWH series in the Qinghai-Tibetan Plateau (QTP), which account for 38.5 %, 23.5 %, and 16.7 % of the total variance, respectively (after the seasonal and long term have been deducted). The spatial patterns and propagation paths of these three inter-annual oscillations are different and exhibit their own independent local characteristics. Based on the analysis of multi-source GRACE GSM data, the results show that the data solution errors have little influence on the extraction of inter-annual oscillations of TWS. The significant 6.4a, 3.5a, and 2.5a inter-annual oscillations are also found in CPC hydrologic model in the QTP using RMSSA, which account for 22.9, 29.9, and 19.3 % of the total variance, respectively. Three inter-annual oscillations separated from GRACE and CPC show similar spatial patterns and significant cross-correlations, respectively. The maximum cross-correlation coefficients are above 0.5 at the 95 % confidence level over 42, 71, and 75 % of the grids in the QTP, respectively. The results indicate that the soil moisture and terrestrial water storage from GRACE have common inter-annual oscillations and corresponding driving factors in the QTP. We conclude that these three inter-annual oscillations of TWS can be explained by the influence of the Arctic oscillation, oceanic Niña, and Indian Ocean dipole.
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来源期刊
Journal of Applied Geodesy
Journal of Applied Geodesy REMOTE SENSING-
CiteScore
2.30
自引率
7.10%
发文量
30
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