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| Job title |
Head/The 2nd lab./Department of Physical Meteorology Research |
| E-mail |
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| Personal |
https://scholar.google.com/citations?user=mQXhGrkAAAAJ&hl=en |
| Expertise |
Model Simulation and Data Assimilation in Atmospheric Chemistry, AI/ML for Meteorology |
| Degree |
Ph.D. |
| Publications |
- Sekiyama, T. T. and M. Kajino, Dispersion simulation using the 1-km gridded wind fields constructed by super-resolution surrogate downscaling, J. Meteor. Soc. Japan, 103, 321–333, 2025.
- Sekiyama, T. T., S. Hayashi, R. Kaneko, and K. Fukui, Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Super-Resolution Convolutional Neural Networks, Artif. Intell. Earth Syst., 2, e230007, 2023.
- Sekiyama, T. T., Y. Kurosaki, M. Kajino, M. Ishizuka, B. Buyantogtokh, J. Wu, and T. Maki, Improvement in dust storm simulation by considering stone coverage effects for stony deserts in East Asia, J. Geophys. Res., 128, e2022JD037295, 2023.
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| Project |
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