| 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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| 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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