日本地球惑星科学連合2023年大会

講演情報

[E] 口頭発表

セッション記号 A (大気水圏科学) » A-OS 海洋科学・海洋環境

[A-OS14] 陸域海洋相互作用ー惑星スケールの物質輸送

2023年5月24日(水) 15:30 〜 17:00 展示場特設会場 (3) (幕張メッセ国際展示場)

コンビーナ:山敷 庸亮(京都大学大学院総合生存学館)、Behera Swadhin(Climate Variation Predictability and Applicability Research Group, Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001)、佐々木 貴教(京都大学 大学院理学研究科 宇宙物理学教室)、升本 順夫(東京大学大学院理学系研究科)、座長:Behera Swadhin(Climate Variation Predictability and Applicability Research Group, Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001)、升本 順夫(東京大学大学院理学系研究科)、山敷 庸亮(京都大学大学院総合生存学館)

16:00 〜 16:15

[AOS14-08] Ocean state forecasting toward the digital twin of the ocean

★Invited Papers

*宮澤 泰正1、Varlamov Sergey1、章 若潮1美山 透1林田 博士1 (1.国立研究開発法人海洋研究開発機構)

To understand the predictability of the ocean current variations around Japan, we have been conducting the Japan Coastal Ocean Predictability Experiment (JCOPE) using data-assimilative ocean general circulation models. Recent enhancement of the computational resources indicates two directions of ocean forecasting: ensemble and downscaling. The ensemble simulation is utilized for estimation of the uncertainty, improvements in data-assimilation, and indication of forecast sensitivity, utilizing coarser grid models. The downscaling is necessary for answering a critical open question: coastal and open seas interactions. We discuss the present status of our research and development activity along the two directions, focusing on their possible contributions to the digital twin of the ocean that have been attracting attention in recent years.