| A theoretical study on the spontaneous radiation of inertia–gravity waves using the renormalization group method. Part I: Derivation of the renormalization group equations Y Yasuda, K Sato, N Sugimoto Journal of the Atmospheric Sciences 72 (3), 957-983, 2015 | 29 | 2015 |
| A theoretical study on the spontaneous radiation of inertia–gravity waves using the renormalization group method. Part II: Verification of the theoretical equations by … Y Yasuda, K Sato, N Sugimoto Journal of the Atmospheric Sciences 72 (3), 984-1009, 2015 | 19 | 2015 |
| Super-resolution of near-surface temperature utilizing physical quantities for real-time prediction of urban micrometeorology Y Yasuda, R Onishi, Y Hirokawa, D Kolomenskiy, D Sugiyama Building and Environment 209, 108597, 2022 | 18 | 2022 |
| A new interpretation of vortex-split sudden stratospheric warmings in terms of equilibrium statistical mechanics Y Yasuda, F Bouchet, A Venaille Journal of the Atmospheric Sciences 74 (12), 3915-3936, 2017 | 8 | 2017 |
| Spatio‐Temporal Super‐Resolution Data Assimilation (SRDA) Utilizing Deep Neural Networks With Domain Generalization Y Yasuda, R Onishi Journal of Advances in Modeling Earth Systems 15 (11), e2023MS003658, 2023 | 7 | 2023 |
| Super-resolution of three-dimensional temperature and velocity for building-resolving urban micrometeorology using physics-guided convolutional neural networks with image … Y Yasuda, R Onishi, K Matsuda Building and Environment 243, 110613, 2023 | 5 | 2023 |
| Real-time high-resolution prediction of orographic rainfall for early warning of landslides R Onishi, J Hirai, D Kolomenskiy, Y Yasuda Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 237-248, 2023 | 5 | 2023 |
| The Effect of the Horizontal Component of the Angular Velocity of the Earth's Rotation on Inertia-Gravity Waves Y Yasuda, K Sato Journal of the Meteorological Society of Japan. Ser. II 91 (1), 23-41, 2013 | 4 | 2013 |
| Rotationally equivariant super-resolution of velocity fields in two-dimensional flows using convolutional neural networks RO Yuki Yasuda APL Machine Learning 1 (2), 026107, 2023 | 3 | 2023 |
| Influences of time-dependent precipitation on water mass transformation, heat fluxes, and deep convection in marginal seas Y Yasuda, MA Spall Journal of Physical Oceanography 45 (7), 1822-1842, 2015 | 3 | 2015 |
| A new interpretation of vortex-split stratospheric sudden warmings in terms of equilibrium statistical mechanics Y Yasuda, F Bouchet, A Venaille | 2 | 2017 |
| A Theory of Evidence Lower Bound and Its Application to Super-Resolution Data Assimilation (SRDA) Using Conditional Variational Autoencoders Y Yasuda, R Onishi arXiv preprint arXiv:2308.03351, 2023 | 1 | 2023 |
| Super-resolution of three-dimensional temperature and velocity for building-resolving urban micrometeorology using physics-guided convolutional neural networks with image … KM Yuki Yasuda, Ryo Onishi Building and Environment 243, 110613, 2023 | | 2023 |
| Four-Dimensional Super-Resolution Data Assimilation (4D-SRDA) Y Yasuda, R Onishi AGU Fall Meeting Abstracts 2022, H25K-1242, 2022 | | 2022 |
| Three-Dimensional Super-Resolution of Passive-Scalar and Velocity Distributions Using Neural Networks for Real-Time Prediction of Urban Micrometeorology KM Yuki Yasuda, Ryo Onishi WCCM-APCOM2022, 2022 | | 2022 |
| Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y Yasuda, R Onishi arXiv e-prints, arXiv: 2202.11099, 2022 | | 2022 |
| Roto-Translation Equivariant Super-Resolution of Two-Dimensional Flows Using Convolutional Neural Networks. Y Yasuda CoRR, 2022 | | 2022 |
| Physics-Informed Super-Resolution for Real-Time Prediction of Urban Micrometeorology Y Yasuda, R Onishi, Y Hirokawa, D Kolomenskiy, D Sugiyama arXiv preprint arXiv:2108.00806, 2021 | | 2021 |
| 深層学習を活用した超解像シミュレーションによる都市街区熱環境のリアルタイム予測 大西領 伝熱 60, 30-35, 2021 | | 2021 |
| C158 統計力学理論に基づくスプリット型成層圏突然昇温の新解釈 (中層大気, 一般口頭発表) 安田， 勇輝， 佐藤 大会講演予講集 108, 150, 2015 | | 2015 |
Ryo OnishiTokyo Institute of TechnologyVerified email at gsic.titech.ac.jp
