Japan Geoscience Union Meeting 2022

Presentation information

[J] Poster

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS20] Global climate change driven by the Southern Ocean and the Antarctic Ice Sheet

Thu. Jun 2, 2022 11:00 AM - 1:00 PM Online Poster Zoom Room (35) (Ch.35)

convener:Osamu Seki(Institute of Low Temperature Science, Hokkaido University), convener:Yusuke Suganuma(National institute of Polar Research), Masahiro Minowa(Institute of Low Temperature Science, Hokkaido University), Chairperson:Osamu Seki(Institute of Low Temperature Science, Hokkaido University), Yusuke Suganuma(National institute of Polar Research)

11:00 AM - 1:00 PM

[MIS20-P08] Separating of Glacial Isostatic Adjustment (GIA) across Antarctica from GRACE/GRACE-FO observations via Independent Component Analysis (ICA)

*Tianyan Shi1, Yoichi Fukuda2, Koichiro Doi1,2, Jun'ichi Okuno1,2 (1.Department of Polar Science, Gradualate University for Advanced studies School of Multidisciplinary Sciences, 2.National Institute of Polar Research)

Keywords:AIS, GRACE/GRACE-FO, GIA, ICA

The redistribution of the near-surface solid Earth due to glacial isostatic adjustment (GIA), which is the ongoing response of the solid Earth due to changes in the ice-ocean load following the Last Glacial Maximum, has a direct impact on the inferred Antarctic Ice Sheet (AIS) mass balance from gravimetric data acquired during the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) missions.

However, sparse in-situ observation networks across Antarctica have led to the inability to effectively constrain the GIA effect. Here, we analyze the mass change patterns across Antarctica via independent component analysis (ICA), a statistics-based blind source separation method to extract signals from complex datasets, in an attempt to reduce uncertainties in the glacial isostatic adjustment (GIA) effects and improve understanding of AIS mass balance.

The results reveal that GIA signal could be directly separated from GRACE/GRACE-FO observations without introducing any external model. Although the GIA signal cannot be completely isolated, the correlation coefficients between ICA-separated GIA, and the ICE-5G and ICE-6G models are 0.692 and 0.691, respectively. The study demonstrates the possibility of extracting GIA effects directly from GRACE/GRACE-FO observations.