Multitemporal mass change analysis of Greenland Ice Sheet using variational mode decomposition
The Greenland Ice Sheet (GrIS) is the largest ice body in the Northern Hemisphere. Quantifying the spatiotemporal characteristics of its mass change is crucial for understanding global climate change. Many studies have been focused on the long-term ice mass change and acceleration, but a more detailed analysis of multitemporal signals, including annual, interannual and transient variations, is still imperative to study the periodic ice mass change. Here, we comprehensively characterize the multitemporal mass changes of the entire GrIS and subregions using a variational mode decomposition method, applied to Gravity Recovery and Climate Experiment satellite data, surface mass balance model output, climate parameters and GPS observations. We found that both the interannual and transient mass variations of the southern subregions have larger amplitudes associated with pronounced precipitations, indicating that the southern mass change patterns are more vulnerable to short-term climate variability. We also found that the reported rapid mass loss in 2010, 2012, 2016 and 2019 should be attributed to the interannual signals that result from low precipitations, significant runoff and evapotranspiration. The largest interannual mass variation was discovered in 2019 (-235 Gt), but due to the combined effect of interannual loss (-147 Gt) and transient attenuation (-380 Gt), the greatest mass loss (-527 Gt) was observed at the end of 2012. Our study emphasizes the importance of multitemporal signals in characterizing the spatiotemporal GrIS mass change and exploring the coupling effect between ice mass change and climate conditions.
|WOS Accession No|
|EI Accession Number|
Climate change ; Climate models ; Geodesy ; Geodetic satellites ; Glaciers ; Gravitation ; Ice ; Time series analysis
|ESI Classification Code|
Surveying:405.3 ; Meteorology:443 ; Atmospheric Properties:443.1 ; Geophysics:481.3 ; Satellites:655.2 ; Information Theory and Signal Processing:716.1 ; Mathematics:921 ; Mathematical Statistics:922.2 ; Gravitation, Relativity and String Theory:931.5
|ESI Research Field|
Cited Times [WOS]:1
|Document Type||Journal Article|
|Department||Department of Earth and Space Sciences|
1.Department of Surveying and Geo-Informatics,Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu,611756,China
2.Civil,Environmental and Geodetic Engineering,Ohio State University,Columbus,43210,United States
3.State-Prov. Jt. Eng. Laboratory in Spatial Information Technology for High-Speed Railway Safety,Southwest Jiaotong University,Chengdu,611756,China
4.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China
5.School of Earth Sciences,Ohio State University,Columbus,43210,United States
Wu，Shuaiying,Liu，Guoxiang,Ran，Jiangjun,et al. Multitemporal mass change analysis of Greenland Ice Sheet using variational mode decomposition[J]. GEOPHYSICAL JOURNAL INTERNATIONAL,2022,230(3):1711-1724.
Wu，Shuaiying.,Liu，Guoxiang.,Ran，Jiangjun.,You，Wei.,Wang，Lei.,...&Bao，Jiawen.(2022).Multitemporal mass change analysis of Greenland Ice Sheet using variational mode decomposition.GEOPHYSICAL JOURNAL INTERNATIONAL,230(3),1711-1724.
Wu，Shuaiying,et al."Multitemporal mass change analysis of Greenland Ice Sheet using variational mode decomposition".GEOPHYSICAL JOURNAL INTERNATIONAL 230.3(2022):1711-1724.
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