深層学習を用いた移流拡散代理モデルの開発による革新的炭素収支逆解析法の確立

• Project/Area Number: 25K15432
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 63010:Environmental dynamic analysis-related
• Research Institution: Japan, Meteorological Research Institute
• Principal Investigator: 眞木 貴史 気象庁気象研究所, 全球大気海洋研究部, 室長 (50514973)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000); Fiscal Year 2027: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2026: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2025: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)