Improvement of dust parameterization with data-assimilation-based parameter estimation

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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.