| Super-resolution simulation for real-time prediction of urban micrometeorology R Onishi, D Sugiyama, K Matsuda Sola 15, 178-182, 2019 | 48 | 2019 |
| Lagrangian tracking simulation of droplet growth in turbulence–turbulence enhancement of autoconversion rate R Onishi, K Matsuda, K Takahashi Journal of the Atmospheric Sciences 72 (7), 2591-2607, 2015 | 46 | 2015 |
| Challenge toward the prediction of typhoon behaviour and down pour K Takahashi, R Onishi, Y Baba, S Kida, K Matsuda, K Goto, H Fuchigami Journal of Physics: Conference Series 454 (1), 012072, 2013 | 42 | 2013 |
| Tree-crown-resolving large-eddy simulation coupled with three-dimensional radiative transfer model K Matsuda, R Onishi, K Takahashi Journal of Wind Engineering and Industrial Aerodynamics 173, 53-66, 2018 | 35 | 2018 |
| Turbulence effect on cloud radiation K Matsuda, R Onishi, R Kurose, S Komori Physical Review Letters 108 (22), 224502, 2012 | 35 | 2012 |
| A localized turbulent mixing layer in a uniformly stratified environment T Watanabe, JJ Riley, K Nagata, R Onishi, K Matsuda Journal of Fluid Mechanics 849, 245-276, 2018 | 30 | 2018 |
| Hairpin vortices and highly elongated flow structures in a stably stratified shear layer T Watanabe, JJ Riley, K Nagata, K Matsuda, R Onishi Journal of Fluid Mechanics 878, 37-61, 2019 | 27 | 2019 |
| Influence of microscale turbulent droplet clustering on radar cloud observations K Matsuda, R Onishi, M Hirahara, R Kurose, K Takahashi, S Komori Journal of the Atmospheric Sciences 71 (10), 3569-3582, 2014 | 27 | 2014 |
| Divergence and convergence of inertial particles in high-Reynolds-number turbulence T Oujia, K Matsuda, K Schneider Journal of Fluid Mechanics 905, A14, 2020 | 19 | 2020 |
| Scale-dependent statistics of inertial particle distribution in high Reynolds number turbulence K Matsuda, K Schneider, K Yoshimatsu Physical Review Fluids 6 (6), 064304, 2021 | 13 | 2021 |
| Scale-similar clustering of heavy particles in the inertial range of turbulence T Ariki, K Yoshida, K Matsuda, K Yoshimatsu Physical Review E 97 (3), 033109, 2018 | 12 | 2018 |
| Turbulent enhancement of radar reflectivity factor for polydisperse cloud droplets K Matsuda, R Onishi Atmospheric Chemistry and Physics 19 (3), 1785-1799, 2019 | 8 | 2019 |
| Influence of gravitational settling on turbulent droplet clustering and radar reflectivity factor K Matsuda, R Onishi, K Takahashi Flow, Turbulence and Combustion 98, 327-340, 2017 | 8 | 2017 |
| Linear and nonlinear inversion schemes to retrieve collision kernel values from droplet size distribution change R Onishi, K Matsuda, K Takahashi, R Kurose, S Komori International journal of multiphase flow 37 (2), 125-135, 2011 | 8 | 2011 |
| Clustering of inertial particles in turbulent flow through a porous unit cell SV Apte, T Oujia, K Matsuda, B Kadoch, X He, K Schneider Journal of Fluid Mechanics 937, A9, 2022 | 7 | 2022 |
| Computing differential operators of the particle velocity in moving particle clouds using tessellations T Maurel–Oujia, K Matsuda, K Schneider Journal of Computational Physics 498, 112658, 2024 | 5 | 2024 |
| 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 |
| Extreme divergence and rotation values of the inertial particle velocity in high Reynolds number turbulence using Delaunay tesselation T Oujia, K Matsuda, K Schneider 12th International Symposium on Turbulence and Shear Flow Phenomena (TSFP12), 2022 | 4 | 2022 |
| Retrieval of collision kernels from the change of droplet size distributions with linear inversion R Onishi, K Matsuda, K Takahashi, R Kurose, S Komori Physica Scripta 2008 (T132), 014050, 2008 | 4 | 2008 |
| Multiresolution analysis of inertial particle tessellations for clustering dynamics K Matsuda, K Schneider, T Oujia, J West, S Jain, K Maeda Center for Turbulence Research, Proceedings of the Summer Program 2022, 2022 | 3 | 2022 |
Ryo OnishiTokyo Institute of TechnologyBestätigte E-Mail-Adresse bei gsic.titech.ac.jp
