Project/Area Number |
23H01250
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Single-year Grants |
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 2023)
|
Budget Amount *help |
¥18,460,000 (Direct Cost: ¥14,200,000、Indirect Cost: ¥4,260,000)
Fiscal Year 2023: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
|
Keywords | Linear Inverse Model / basin interaction / GCM experiments / El Nino / Atlantic Nino |
Outline of Research at the Start |
This project aims to improve our understanding of how the tropical Pacific and Atlantic oceans interact on seasonal to decadal time scales. Dedicated experiments with two climate models will be performed to examine interaction pathways between the two basins and to quantify their importance. Statistical models will be trained to replicate the results of the model experiments. These statistical models will then be applied to an existing large database of climate model simulations. The ultimate goal is to improve the prediction skill for El Nino and related phenomena.
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