Spatial and temporal patterns of the inter-annual oscillations of glacier mass over Central Asia inferred from Gravity Recovery and Climate Experiment(GRACE) data  被引量:2

Spatial and temporal patterns of the inter-annual oscillations of glacier mass over Central Asia inferred from Gravity Recovery and Climate Experiment(GRACE) data

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作  者:ZHU Chuandong LU Yang SHI Hongling ZHANG Zizhan 

机构地区:[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

出  处:《Journal of Arid Land》2017年第1期87-97,共11页干旱区科学(英文版)

基  金:funded by the National Basic Research Program of China (2012CB957703, 2013CB733301);the National Natural Science Foundation of China (41274025, 41174064)

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.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.

关 键 词:Gravity Recovery and Climate Experiment glacier mass balance multichannel singular spectral analysis Central Asia 

分 类 号:P343.6[天文地球—水文科学] P467[天文地球—地球物理学]

 

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