Spatial and temporal patterns of the inter-annual oscillations of glacier mass over Central Asia inferred from Gravity Recovery and Climate Experiment (GRACE)data
ZHU Chuandong1,2*, LU Yang1,2, SHI Hongling1,2, ZHANG Zizhan1,2,3
1 State Key Laboratory of Geodesy and Earth’s Dynamics, Chinese Academy of Sciences, Wuhan 430077, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 Center for Space Research, University of Texas at Austin, Austin 78759, USA
Spatial and temporal patterns of the inter-annual oscillations of glacier mass over Central Asia inferred from Gravity Recovery and Climate Experiment (GRACE) data
ZHU Chuandong1,2*, LU Yang1,2, SHI Hongling1,2, ZHANG Zizhan1,2,3
1 State Key Laboratory of Geodesy and Earth’s Dynamics, Chinese Academy of Sciences, Wuhan 430077, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 Center for Space Research, University of Texas at Austin, Austin 78759, USA
摘要 Monitoring glacier mass balance is crucial to managing water resources and also to
understanding climate change for the arid and semi-arid regions of Central Asia. This study extracted the
inter-annual oscillations of glacier mass over Central Asia from the first ten principal components (S-PCs)
of filtered variability via multichannel singular spectral analysis (MSSA), based on gridded data of glacier
mass inferred from Gravity Recovery and Climate Experiment (GRACE) data obtained from July 2002 to
March 2015. Two significant cycles of glacier mass balance oscillations were identified. The first cycle with
a period of 6.1-year accounted for 54.5% of the total variance and the second with a period of 2.3-year
accounted for 4.3%. The 6.1-year oscillation exhibited a stronger variability compared with the 2.3-year
oscillation. For the 6.1-year oscillation, the results from lagged cross-correlation function suggested that
there were significant correlations between glacier mass balances and precipitation variations with the
precipitation variations leading the response of glacier mass balances by 9–16 months.
Abstract：
Monitoring glacier mass balance is crucial to managing water resources and also to
understanding climate change for the arid and semi-arid regions of Central Asia. This study extracted the
inter-annual oscillations of glacier mass over Central Asia from the first ten principal components (S-PCs)
of filtered variability via multichannel singular spectral analysis (MSSA), based on gridded data of glacier
mass inferred from Gravity Recovery and Climate Experiment (GRACE) data obtained from July 2002 to
March 2015. Two significant cycles of glacier mass balance oscillations were identified. The first cycle with
a period of 6.1-year accounted for 54.5% of the total variance and the second with a period of 2.3-year
accounted for 4.3%. The 6.1-year oscillation exhibited a stronger variability compared with the 2.3-year
oscillation. For the 6.1-year oscillation, the results from lagged cross-correlation function suggested that
there were significant correlations between glacier mass balances and precipitation variations with the
precipitation variations leading the response of glacier mass balances by 9–16 months.
The National Basic Research Program of China (2012CB957703, 2013CB733301), and
The National Natural Science Foundation of China (41274025, 41174064). Cordial thanks should be extended to
The Center for Space Research (CSR) at the University of Texas at Austin.
ZHU Chuandong,LU Yang,SHI Hongling等. Spatial and temporal patterns of the inter-annual oscillations of glacier mass over Central Asia inferred from Gravity Recovery and Climate Experiment (GRACE)data[J]. Journal of Arid Land, 2017, 9(1): 87-97.
ZHU Chuandong,LU Yang,SHI Hongling et al. Spatial and temporal patterns of the inter-annual oscillations of glacier mass over Central Asia inferred from Gravity Recovery and Climate Experiment (GRACE) data[J]. Journal of Arid Land, 2017, 9(1): 87-97.
2017, Vol. 9 
