Outline
For accurate estimation of the probability of weather phenomena that caused wind and flood damage.
Member
Achievement
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Presentation(Invited)
2024. 3. 15
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Presentation(Invited)
2024. 3. 15
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Publication (peer-reviewed)
2023. 11. 2
Toshiki Matsushima, Seiya Nishizawa, Shin-ichiro Shima : Overcoming computational challenges to realize meter- to submeter-scale resolution in cloud simulations using the super-droplet method , Geoscientific Model Development , 16(21) , 6211-6245 , DOI : https://doi.org/10.5194/gmd-16-6211-2023
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Publication (peer-reviewed)
2023. 10. 6
Takumi Tomioka, Yousuke Sato, Syugo Hayashi, Satoru Yoshida, Takeshi Iwashita : Advantage of bulk lightning models for predicting lightning frequency over Japan , Progress in Earth and Planetary Science , 10 , Article number: 60 (2023) , DOI : https://doi.org/10.1186/s40645-023-00592-w
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Publication (peer-reviewed)
2023. 5. 4
Yousuke Sato, Mizuo Kajino, Syugo Hayashi, Ryuichi Wada : A numerical study of lightning-induced NOx and formation of NOy observed at the summit of Mt. Fuji using an explicit bulk lightning and photochemistry model , Atmospheric Environment: X, vol.18 , 100218 , DOI : https://doi.org/10.1016/j.aeaoa.2023.100218
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Publication (peer-reviewed)
2023. 3. 13
Yuta Kawai, Hirofumi Tomita : Numerical Accuracy Necessary for Large-Eddy Simulation of Planetary Boundary Layer Turbulence using Discontinuous Galerkin Method , Monthly Weather Review, 151(6) , 1479-1508 , DOI : https://doi.org/10.1175/MWR-D-22-0245.1
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Presentation(Invited)
2023. 3. 1
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Presentation(Invited)
2022. 11. 24