| 研究課題/領域番号 |
22K21337
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| 研究種目 |
研究活動スタート支援
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| 配分区分 | 基金 |
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| 審査区分 |
1101:環境解析評価、環境保全対策およびその関連分野
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| 研究機関 | 国立研究開発法人理化学研究所 |
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研究代表者 |
江 嘉敏 国立研究開発法人理化学研究所, 計算科学研究センター, 特別研究員 (00948078)
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| 研究期間 (年度) |
2022-08-31 – 2024-03-31
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| 研究課題ステータス |
交付 (2022年度)
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| 配分額 *注記 |
2,860千円 (直接経費: 2,200千円、間接経費: 660千円)
2023年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
2022年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
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| キーワード | dust simulation / data assimilation / parameter estimation / dead vegetation cover / threshold friction speed |
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| 研究開始時の研究の概要 |
Dust is a common meteorological phenomenon and affects human health and Earth system. However, the simulation remains a large bias because of miscalculating threshold friction speed. This study focuses on developing a high-precision dust-climate-Data-assimilation-based system. It is expected to explore a new solution to dust problems in East Asia and develop a useful tunable method technique to solve the dust parameterization problem. This system can couple with other models to fill the gap of uncertain interactions between dust and the environment and develop dust-prevention strategies.
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| 研究実績の概要 |
Although the dust phenomenon has been implemented in the climate and Earth system models (ESMs) to estimate potential risk at the global scale, global simulation results indicated large biases of dust emission, deposition, and concentrations among ESMs, respectively. Particularly, the East Asian area.
This study focuses on developing a high-precision dust-climate-Data-assimilation-based system. There are three parts in this study:
(1) [An improved dust scheme]: I contacted Prof. Shao, a famous dust researcher and dust scheme developer, and visited his lab and tested the vegetation parameters based on his advice.
(2) [Updating the improved dust scheme in the meteorological model]: I contacted with SCALE-Chem development researcher, and am working on improving their model coding by adding vegetation parameters. It will finish this summer.
(3) [Optimizing the ideal u*t by DA-based parameter estimation]: SCALE-LETKF is being established at RIKEN, and I am testing some simulations for weather phenomena (such as typhoon and squall line) and feedbacking the results to the development team.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
Based on our feedback, the SCALE-LETKF system is undergoing a general check.
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| 今後の研究の推進方策 |
For the first part (SCALE-LETKF development), we will still follow to debug this system. Meanwhile, we are going to set up a list of experiments for parameter estimation to check the system performance. For the second part (parameterization of dead vegetation effect), although it is convenient to parameterize the effect of dead vegetation and test this performance in the SCALE-Chem, it is difficult that this model combines with data assimilation processes (LETKF) because this is an offline version. Therefore, after receiving a good performance in SCALE-Chem, we will move the coding to an online version of SCALE, SCALE-SPRINTARS, to continue integrating with the data-assimilation processes.
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