A data-driven modeling approach for augmenting climate model simulations and its application to Pacific-Atlantic interbasin interactions

Research Project

Project/Area Number	23K25946
Project/Area Number (Other)	23H01250 (2023)
Research Category	Grant-in-Aid for Scientific Research (B)
Allocation Type	Multi-year Fund (2024) Single-year Grants (2023)
Section	一般
Review Section	Basic Section 17020:Atmospheric and hydrospheric sciences-related
Research Institution	Japan Agency for Marine-Earth Science and Technology
Principal Investigator	RICHTER INGO 国立研究開発法人海洋研究開発機構, 付加価値情報創生部門(アプリケーションラボ), グループリーダー代理 (20649470)
Co-Investigator(Kenkyū-buntansha)	東塚知己東京大学, 大学院理学系研究科(理学部), 准教授 (40376538) 木戸晶一郎国立研究開発法人海洋研究開発機構, 付加価値情報創生部門(アプリケーションラボ), 研究員 (40878394) 時長宏樹九州大学, 応用力学研究所, 教授 (80421890) 小坂優東京大学, 先端科学技術研究センター, 准教授 (90746398)
Project Period (FY)	2023-04-01 – 2027-03-31
Project Status	Granted (Fiscal Year 2024)
Budget Amount *help	¥18,460,000 (Direct Cost: ¥14,200,000、Indirect Cost: ¥4,260,000) Fiscal Year 2026: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000) Fiscal Year 2025: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000) Fiscal Year 2024: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000) Fiscal Year 2023: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Keywords	linear inverse model / global climate model / El Nino / pacemaker experiment / interbasin interaction / Linear Inverse Model / basin interaction / GCM experiments / Atlantic Nino
Outline of Research at the Start	This project aims to show that it is possible to reproduce aspects of global climate model simulations with a data-driven framework that requires only a fraction of the computational cost. This technique will be used to better understand the interaction between the tropical Atlantic and El Nino.