顕著現象予測精度向上を目指した粒子フィルタによるハイブリッドデータ同化手法の構築

• Project/Area Number: 21K13995
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 17020:Atmospheric and hydrospheric sciences-related
• Research Institution: Japan, Meteorological Research Institute
• Principal Investigator: 近藤 圭一 気象庁気象研究所, その他部局等, 研究員 (00735558)
• Project Period (FY): 2021-04-01 – 2025-03-31
• Project Status: Adopted (Fiscal Year 2021)
• Budget Amount: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000); Fiscal Year 2024: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2023: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2021: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)