日本地球惑星科学連合2022年大会

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[E] 口頭発表

セッション記号 M (領域外・複数領域) » M-IS ジョイント

[M-IS03] The Southern Ocean and the Antarctic Ice Sheet dynamics in past, present and future

2022年5月25日(水) 15:30 〜 17:00 104 (幕張メッセ国際会議場)

コンビーナ:草原 和弥(海洋研究開発機構)、コンビーナ:岡 顕(東京大学大気海洋研究所)、野木 義史(国立極地研究所)、コンビーナ:津滝 俊(国立極地研究所)、座長:草原 和弥(海洋研究開発機構)、岡 顕(東京大学大気海洋研究所)、野木 義史(国立極地研究所)、津滝 俊(国立極地研究所)

16:15 〜 16:30

[MIS03-04] Regional East Antarctica simulation with optimized ocean, sea ice, and thermodynamic ice shelf model parameters

*瓢子 俊太郎1 中山 佳洋2藤井 昌和3田村 岳史3阿部 彩子4青木 茂2 (1.北海道大学大学院環境科学院、2.北海道大学低温科学研究所、3.国立極地研究所/総合研究大学院大学、4.東京大学大気海洋研究所)

キーワード:南極、南大洋、棚氷、周極深層水、南極底層水、冬季形成水

Antarctic bottom water (AABW) formation and Antarctic ice loss caused by enhanced ice shelf melting are crucial processes for the Southern Ocean hydrography. However, existing global models have difficulties in simulating these processes at the same time. For example, some models successfully simulate AABW formation in the Weddell and Ross Seas, but their mCDW intrusions towards West Antarctic ice shelves are weaker than observations. Here, we develop a regional ocean model for East Antarctica, which includes the rapidly melting Totten ice shelf (TIS) and AABW formation off the Adelie Land. We use the regional Massachusetts Institute of Technology general circulation model (MITgcm) configuration includes dynamic/thermodynamic sea ice and static thermodynamic ice shelf representation. Our regional model simulates modified Circumpolar Deep Water (mCDW) intrusions successfully, but (1) simulated intrusions towards the TIS are thicker by 200m compared to observations, and (2) salinity of AABW formed in the Mertz polynya is fresher by 0.3. In this study, we aim to simulate AABW formation off the Adelie Land and mCDW intrusions towards the Totten glacier consistent with observations. We conduct a series of sensitivity experiments by perturbing a small number of the ocean, sea ice, ice shelf model parameters, and lateral boundary conditions to achieve better model-data agreement, especially for Antarctic continental shelf regions. We further optimize our simulation by employing Green's function approach.