| Project/Area Number |
22K21337
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Multi-year Fund |
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| Review Section |
1101:Environmental analyses and evaluation, environmental conservation measure and related fields
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| Research Institution | Institute of Physical and Chemical Research |
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Principal Investigator |
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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| Project Period (FY) |
2022-08-31 – 2024-03-31
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| Project Status |
Granted (Fiscal Year 2022)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2023: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | dust simulation / data assimilation / parameter estimation / dead vegetation cover / threshold friction speed |
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| Outline of Research at the Start |
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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| Outline of Annual Research Achievements |
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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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Based on our feedback, the SCALE-LETKF system is undergoing a general check.
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| Strategy for Future Research Activity |
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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