日本地球惑星科学連合2022年大会

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[J] ポスター発表

セッション記号 M (領域外・複数領域) » M-IS ジョイント

[M-IS20] 南大洋・南極氷床が駆動する全球気候変動

2022年6月2日(木) 11:00 〜 13:00 オンラインポスターZoom会場 (35) (Ch.35)

コンビーナ:関 宰(北海道大学低温科学研究所)、コンビーナ:菅沼 悠介(国立極地研究所)、箕輪 昌紘(北海道大学・低温科学研究所)、座長:関 宰(北海道大学低温科学研究所)、菅沼 悠介(国立極地研究所)

11:00 〜 13:00

[MIS20-P03] Estimation of flow velocity of Shirase Glacier using Sentinel-1 SAR data

*大川 翔太郎1土井 浩一郎2,1、中村 和樹3青山 雄一2,1永井 裕人4 (1.総合研究大学院大学、2.国立極地研究所、3.日本大学工学部、4.早稲田大学教育学部)


キーワード:白瀬氷河、Sentinel-1、流動速度

The Shirase Glacier is known for one of the fastest stream glaciers in East Antarctica. According to previous studies, the flow velocity of the Shirase Glacier was shown seasonal variations at the adjacent terminus of the Shirase Glacier. This is because the seasonal variation is considered to be affected by the buttress effect of landfast ice surrounding the glacier terminus, but the mechanism of the seasonl velocity changes is still not clear due to few research. Therefore, this study aims to clarify the relationship between the flow velocity variation of the glacier and the landfast ice in front of the Shirase Glacier.

We obtained radar images acquired from July 2018 to December 2021 by the Synthetic Aperture Radar (SAR) onboard the Sentinel-1A satellite, which has a repeat cycle of 12 days. The flow velocity of the Shirase Glacier was estimated by the offset tracking technique.

Here the seasonal variation of flow velocity is defined as the flow velocity difference in summertime and wintertime. The flow velocity of Shirase Glacier showed a seasonal variation from around 40 km downstream of the grounding line to terminus of glacier. The seasonal variation which was shown every year from 2018 to 2021 was approximately 10 m 12-day–1.

In order to clarify why the flow velocity changes seasonally, we will calculate the momentum of the Shirase Glacier and the landfast ice using the flow rate, the area of landfast ice, and the surface altitude (ice thickness) for estimating the area of the Shirase Glacier that the landfast ice can dam.


Acknowledgment
This study was partially supported by JSPS KAKENHI Grant No. 17H06321 and 21K12214.