大西 領（博士（工学））

1978年生まれ、大阪生まれ、奈良育ち

Emall: onishi.ryo <- a t -> gsic.titech.ac.jp

プロフィール

専門は環境流体工学。

流体力学の視点から、環境問題および気象災害に関する研究を行っている。

最近はデータ科学とシミュレーション科学の融合による“微気象予測の実現”にも力を入れている。

研究略歴

2024/10（組織替え）- 東京科学大学　総合研究院スーパーコンピューティング研究センター　教授

2023/10- 東京工業大学　学術国際情報センター　教授

2020/04-20203/09 東京工業大学　学術国際情報センター　准教授

2019/04（組織替え）-2020/03 （国研）海洋研究開発機構　付加価値情報創生部門・地球情報基盤センター　グループリーダー（主任研究員）

2014/04-2019/03 （国研）海洋研究開発機構　地球情報基盤センター　グループリーダー（主任研究員）

2011/04-2013/03 インペリアル・カレッジ・ロンドン　航空工学科 客員研究員（日本学術振興会　海外特別研究員）

2005/11-2014/03 （独）海洋研究開発機構　地球シミュレータセンター 研究員

2005/04-2005/10 （独）国立環境研究所　地球環境研究センター　NIESポスドクフェロー

2005/03 京都大学大学院　工学研究科　博士課程修了　博士（工学）学位取得

受賞歴

2015年6月　第20回計算工学会　グラフィックス・アワード特別賞（主著：川原慎太郎）

2014年2月　日本流体力学会　竜門賞（2013年度）

2012年12月　第26回数値流体力学シンポジウム　ベストCFDグラフィッ クス・アワード最優秀賞（共著）

2012年7月　日本計算力学連合　日本計算力学奨励賞

2009年12月　第23回数値流体力学シンポジウム　ベストCFDグラフィックス・アワード最優秀賞

2009年4月　平成21年度科学技術分野の文部科学大臣表彰　若手科学者賞

2008年4月 日本機械学会奨励賞（研究）

査読付き学術雑誌

  1. X. Hu, R. Onishi, and S. Qian, Comparison of Vortex Structures and Turbulent Heat Transport for a Single Jet and Multiple Jets in Crossflow, Journal of Fluids Engineering (accepted in Dec 2024)
  2. X. Hu, R. Onishi, and S. Qian, Wake vortex formation and its role in turbulent heat transport in jet in crossflow, Physics of Fluids 1 September 2024; 36 (9): 095167 https://doi.org/10.1063/5.0231998(accepted in Sept 2024)
  3. Y. Yasuda and R. Onishi, Spatio-Temporal Super-Resolution Data Assimilation (SRDA) Utilizing Deep Neural Networks with Domain Generalization, Journal of Advances in Modeling Earth Systems (accepted in Oct 2023)
  4. Y. Yasuda, and R. Onishi, Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Flows Using Convolutional Neural Networks, APL Machine Learning (accepted on March 2013)
  5. D. Sugiyama, R. Onishi, and H. Fudeyasu, SolaCam: A Deep Learning Model for Solar Radiation Estimation Using Consumer Cameras, SOLA, 19, 243-246(TBA) (2023) https://doi.org/10.2151/sola.2023-032 (accepted in Aug 2013)
  6. Y. Yasuda, R. Onishi, and K. Matsuda,Super-resolution of three-dimensional temperature and velocity for building-resolving urban micrometeorology using physics-guided convolutional neural networks with image inpainting techniques," Building and Environment, 243, 110613 (2023) https://doi.org/10.1016/j.buildenv.2023.110613
  7. Y. Yasuda, and R. Onishi, Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Flows Using Convolutional Neural Networks, APL Machine Learning, 1, 026107 (2023) https://doi.org/10.1063/5.0132326
  8. K. Matsuda, S. Komori, N. Takagaki, and R. Onishi, Effects of surface tension reduction on wind-wave growth and air–water scalar transfer, Journal of Fluid Mechanics, 960, A22 (2023) https://doi.org/10.1017/jfm.2023.144
  9. A.A. Hill, Z.J. Lebo, M. Andrejczuk, S. Arabas, P. Dziekan, P. Field, A. Gettelman, F. Hoffmann, H. Pawowska, R. Onishi, and B. Vie, Toward a numerical benchmark for warm rain processes, Journal of the Atmospheric Sciences, 80, 1329-1359 (2023) https://doi.org/10.1175/JAS-D-21-0275.1
  10. D. Hiruma, R. Onishi, K. Takahashi and K. Fukagata, Sensitivity Study on Storm Modulation through a Strategic Use of Consumer Air Conditioners, Atmospheric Science Letters, e1091 (2022) https://doi.org/10.1002/asl.1091
  11. S.E. Farisenkov, D. Kolomenskiy, P.N. Petrov, T. Engels, N.A. Lapina, F.-O. Lehmann, R. Onishi, H. Liu, A.A. Plilov, Novel flight style and light wings boost flight performance of tiny beetles, Nature, 602, 96–100 (2022) https://doi.org/10.1038/s41586-021-04303-7
  12. Y. Yasuda, R. Onishi, Y. Hirokawa, D. Kolomenskiy, D. Sugiyama, Super-Resolution of Near-Surface Temperature Utilizing Physical Quantities for Real-Time Prediction of Urban Micrometeorology, Building and Environment, 209, 108597 (2022).
  13. R. Onishi, K. Matsuda, H. Suto, Y. Hattori, H. Hirakuchi, S. Matsunami, S. Yagyu, T. Shinohara and H. Katayama, High-Resolution Prediction for the Amount of Airborne Sea Salt by Multi-Scale Weather Simulation, Materials Transactions, 62, 1785-1790 (2021).
  14. D. Kolomenskiy, R. Onishi and H. Uehara, WaveRange: wavelet-based data compression for three-dimensional numerical simulations on regular grids, Journal of Visualization (2022) https://doi.org/10.1007/s12650-021-00813-8
  15. S. Takeuchi, S. Miyauchi, S. Yamada, A. Tazaki, L. Zhang, R. Onishi, T. Kajishima, Effect of lubrication in the non-Reynolds regime due to the non-negligible gap on the fluid permeation through a membrane, Fluid Dynamics Research, 53, 035501 (2021). https://doi.org/10.1088/1873-7005/abf3b4
  16. D. Kolomenskiy, S. Farisenkov, T. Engels, N. Lapina, P. Petrov, F.-O. Lehmann, R. Onishi, H. Liu, A. Plilov, Aerodynamic performance of a bristled wing of a very small insect, Experiments in Fluids , 61, 194 (2020). https://doi.org/10.1007/s00348-020-03027-0
  17. 大西領，松田景吾，須藤仁，服部康男，平口博丸，松波成行，柳生進二郎,篠原正，片山英樹， マルチスケール気象シミュレーション法による飛来海塩量の高精細予測，材料と環境，69(6)，169 (2020).
  18. S. Tazaki, S. Takeuchi, Miyauchi, L.T. Zhang, R. Onishi, T. Kajishima, Fluid permeation through a membrane with infinitesimal permeability under Reynolds lubrication, Journal of Mechanics, 36, 637 - 648 (2020). https://doi.org/10.1017/jmech.2020.38
  19. T. Kamiya, R. Onishi, S. Kodera and A. Hirata, Estimation of Time-Course Core Temperature and Water Loss in Realistic Adult and Child Models with Urban Micrometeorology Prediction, Int. J. Environ. Res. Public Health, 16, 5097 (2019).
  20. R. Onishi, D. Sugiyama and K. Matsuda, Super-Resolution Simulation for Real-Time Prediction of Urban Micrometeorology, SOLA, Vol. 15, 178−182 (2019).
  21. T. Watanabe, J. J. Riley, K. Nagata, K. Matsuda and R. Onishi, Hairpin vortices and highly elongated flow structures in a stably stratified shear layer, Journal of Fluid Mechanics, 878, 37-61 (2019).
  22. D. Kolomenskiy, S. Ravi, R. Xu, K. Ueyama, T. Jakobi, T. Engels, T. Nakata, J. Sesterhenn, K. Schneider, R. Onishi and H. Liu, The dyanmics of passive feathering rotation in hovering flight bumblebees, Journal of Fluids and Structures, 91, 102628 (2019).
  23. K. Matsuda and R. Onishi, Turbulent enhancement of radar reflectivity factor for polydisperse cloud droplets, Atmospheric Chemistry and Physics, 19, 1-16 (2019).
  24. K. Takahashi, K. Goto, R. Onishi and M. Imada, Large-scale intermittency and rare events boosted at dimensional crossover in anisotropic turbulence, Physical Review Fluids, 3, 124607 (2018).
  25. D. Chen, D. Kolomenskiy, R. Onishi and H. Liu, Versatile reduced-order model of leading-edge vortices on rotary wings, Physical Review Fluids, 3, 114703 (2018).
  26. T. Watanabe, J.J. Riley, K. Nagata, R. Onishi and K. Matsuda, A localized turbulent mixing layer in a uniformly stratified environment, Journal of Fluid Mechanics, 849, pp.245-276 (2018).
  27. Y. Kunishima and R. Onishi, Direct Lagrangian tracking simulation of droplet growth in vertically developing cloud, Atmospheric Chemistry and Physics, 18, pp.16619-16630 (2018).
  28. T. Watanabe, J.J. Riley, K. Nagata, R. Onishi and K. Matsuda, A localized turbulent mixing layer in a uniformly stratified environment, Journal of Fluid Mechanics, 849, pp.245-276 (2018).
  29. S. Komori, K. Iwano, N. Takagaki, R. Onishi, R. Kurose, K. Takahashi, N. Suzuki, Laboratory Measurements of Heat Transfer and Drag Coefficients at Extremely High Wind Speeds, Journal of Physical Oceanography, 48, pp.959-974 (2018).
  30. K. Matsuda, R. Onishi and K. Takahashi, Tree-crown-resolving large-eddy simulation coupled with three-dimensional radiative transfer model, Journal of Wind Engineering and Industrial Aerodynamics, 173, pp.53-66 (2018).
  31. R. Onishi and D. Sugiyama, Deep Convolutional Neural Network for Cloud Coverage Estimation from Snapshot Camera Images, SOLA, 13, pp.235-239 (2017).
  32. M. Nakano, A. Wada, M. Sawada, H. Yoshimura, R. Onishi, S. Kawahara, W. Sasaki, T. Nasuno, M. Yamaguchi, T. Iriguchi, M. Sugi and Y. Takeuchi, Global 7-km mesh nonhydrostatic Model Intercomparison Project for improving TYphoon forecast (TYMIP-G7): Experimental design and preliminary results, Geoscientific Model Development, 10, pp.1363-1381 (2017).
  33. K. Matsuda, R. Onishi and K. Takahashi, Influence of gravitational settling on turbulent droplet clustering and radar reflectivity factor, Flow, Turbulence and Combustion, 98, pp.327-340 (2017).
  34. W. Sasaki, R. Onishi, H. Fuchigami, K. Goto, S. Nishikawa, Y. Ishikawa and K. Takahashi, MJO simulation in a cloud-system-resolving ocean-atmosphere coupled model, Geophysical Research Letters, 43, 17, pp.9352-9360 (2016).
  35. R. Onishi, H. Fuchigami, K. Matsuda and K. Takahashi, Detailed Cloud Microphysics Simulation for Investigation into the Impact of Sea Spray on Air Sea Heat Flux, Flow Turbulence and Combustion, 97, pp.1111-1125 (2016).
  36. R. Onishi and A. Seifert, Reynolds-number dependence of turbulence enhancement on collision growth, Atmospheric Chemistry and Physics, 16, pp.12441-12455 (2016).
  37. Seifert and R. Onishi, Turbulence effects on warm-rain formation in precipitating shallow convection revisited, Atmospheric Chemistry and Physics, 16, pp.12127-12141 (2016).
  38. K. Yokoi, R. Onishi, X.-L. Deng, M. Sussman. Density-scaled balanced continuum surface force model with a level set based curvature interpolation technique, International Journal of Computational Methods, 13, 1641004 (2016).
  39. R. Onishi, K. Matsuda and K. Takahashi, Lagrangian Tracking Simulation of Droplet Growth in Turbulence - Turbulence Enhancement of Autoconversion Rate, Journal of the Atmospheric Sciences, 72, pp.2591-2607 (2015).
  40. L.-F. Lu, R. Onishi and K. Takahashi, The effect of wind on long-term summer water temperature trends in Tokyo Bay, Japan, Ocean Dynamics, 65, pp.919-930 (2015).
  41. P. C. Valente, R. Onishi, and C. B. da Silva, Origin of the imbalance between energy cascade and dissipation in turbulence, Physical Review E, 90, 023003 (2014).
  42. K. Matsuda, R. Onishi, M. Hirahara, R. Kurose, K. Takahashi and S. Komori, Influence of microscale turbulent clustering in radar cloud observations, Journal of the Atmospheric Sciences, 71, 3569-3582 (2014).
  43. R. Onishi and J.C. Vassilicos, Collision Statistics of Inertial Particles in Two-Dimensional Homogeneous Isotropic Turbulence with an Inverse Cascade, Journal of Fluid Mechanics, 745, pp.279-299 (2014).
  44. R. Onishi, K. Takahashi, J.C. Vassilicos, An Efficient Parallel Simulation of Interacting Inertial Particles in Homogeneous Isotropic Turbulence, Journal of Computational Physics, 242, pp.809-827 (2013).
  45. K. Takahashi, R. Onishi, Y. Baba, S. Kida, K. Matsuda, K. Goto and H. Fuchigami, Challenge toward the prediction of typhoon behavior and down pour, Journal of Physics: Conf. Ser., 454, 012072 (2013).
  46. K. Matsuda, R. Onishi, R. Kurose and S.Komori, Turbulence Effect on Cloud Radiation, Physical Review Letters, 108, 224502 (2012).
  47. R. Onishi and K.Takahashi, A Warm-Bin-Cold-Bulk Hybrid Cloud Microphysical Model, Journal of the Atmospheric Sciences, 69, pp.1474-1497 (2012).
  48. 大西　領，馬場　雄也，高橋　桂子， 等方性乱流中での慣性粒子の衝突現象に対する高効率並列計算法，日本機械学会論文集Ｂ編，77巻782号pp.1879-1891 (2011).
  49. R. Onishi, Y. Baba and K.Takahashi, Large-Scale Forcing with Less Communication in Finite-Difference Simulations of Stationary Isotropic Turbulence, Journal of Computational Physics, 230, pp.4088-4099 (2011).
  50. R. Onishi, K. Matsuda, K.Takahashi, R. Kurose and S. Komori, Linear and nonlinear inversion schemes to retrieve collision kernel values from droplet size distribution change, International Journal of Multiphase Flow, 37-2, pp.125-135 (2011).
  51. R. Onishi, T. Sugimura and K. Takahashi, Condensation/evaporation calculation method for cloud droplets using the CIP-CSLR scheme, Journal of Environment and Engineering, Vol. 5 No.1, pp.1-14 (2010).
  52. R. Onishi, K. Takahashi and S. Komori, Influence of gravity on collisions of monodispersed droplets in homogeneous isotropic turbulence, Physics of Fluids, Vol. 21, 125108 (2009).
  53. R. Onishi, K. Matsuda, K. Takahashi, R. Kurose and S. Komori, Retrieval of Collision Kernels from the Change of Droplet Size Distributions with a Simple Inversion Scheme, Physica Scripta, T132-014050 (2008).
  54. 大西　領，杉村　剛，高橋　桂子， CIP-CSLR法を用いた雲粒の凝縮・蒸発計算法，日本機械学会論文集Ｂ編，74巻748号pp.2443-2451 (2008).
  55. 松田景吾，大西　領，高橋　桂子，黒瀬良一，小森　悟， 液滴径分布の変化から衝突頻度因子を導出する非線形逆解析手法，日本機械学会論文集Ｂ編，74巻744号 pp.1777-1784 (2008).
  56. S. Maksyutov, P.K. Patra, R. Onishi, T. Saeki, T. Nakazawa, NIES/FRCGC global atmospheric tracer transport model: description, validation, and surface sources and sinks inversion, Journal of the Earth Simulator, Vol. 9, pp.3-18 (2008).
  57. P.K. Patra et al., TransCom continuous experiment: 2. Comparison of CO2 transports at synoptic timescale, Global Biogeochemical Cycles, 22, GB4013 (2008).
  58. R.M. Law et al., TransCom model simulations of hourly CO2: experimental overview and diurnal cycle results for 2002, Global Biogeochemical Cycles, 22, GB3009 (Aug 2008).
  59. 大西　領，松田景吾，高橋桂子，黒瀬良一，小森　悟， 液滴径分布の変化から衝突頻度因子を導出する線形逆解析手法，日本機械学会論文集Ｂ編，73巻734号pp.2062-2069(2007).
  60. 大西　領，高橋桂子，小森　悟， 乱流中での粒子の衝突成長に対するLarge-Eddy Simulation，日本機械学会論文集Ｂ編，72巻722号pp.2441-2448 (2006).
  61. 大西　領，小森　悟， 乱流中における粒子間衝突のモデル化，日本機械学会論文集Ｂ編，73巻730号pp.1307-1314 (2007).
  62. R. Onishi and S. Komori, Thermally-Stratified Liquid Turbulence with a Chemical Reaction, AIChE Journal, Vol. 52, No.2 February, pp.456-468 (2006).
  63. 大西　領，小森　悟，乱流中における同一径粒子間の衝突頻度に及ぼす重力の影響のモデル化，日本機械学会論文集Ｂ編，71巻706号pp.1511-1518 (2005).
  64. 大西　領，小森　悟，乱流中における同一径粒子間の衝突頻度に及ぼす重力の影響，日本機械学会論文集Ｂ編，71巻705号pp.1225-1230(2005).
  65. 大西　領，道岡武信，長田孝二，小森　悟，液相混合層での乱流混合反応に及ぼす温度成層の効果，日本機械学会論文集Ｂ編，69巻679号pp.636-643(2003).

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