JAMSTEC > Research Institute for Value-Added-Information Generation (VAiG) > Center for Earth Information Science and Technology (CEIST) > Members > MATSUDA, Keigo

Center for Earth Information Science and Technology (CEIST)

MATSUDA, Keigo

Profile

Affiliation
Center for Earth Information Science and Technology (CEIST),
Research Institute for Value-Added-Information Generation (VAiG),
Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
Research Interests
  • Particle/droplet dispersion in turbulent flows
  • Atmospheric Radiative transfer
  • Turbulence influence on cloud radar observations
  • Building and tree-crown resolving large-eddy simulation
Contact information
Address:Yokohama Institute for Earth Science, JAMSTEC
3173-25 Showa-machi, Kanazawa-ku, Yokohama 236-0001 Japan
TEL:+81-45-778-5833
FAX:+81-45-778-5492
E-mail:k.matsuda (at) jamstec.go.jp

History

Education:

BS:Faculty of Engineering, Kyoto University, 2007
MS:Dept. of Mechanical Engineering and Science, Kyoto University, 2009
Dr.:Dept. of Mechanical Engineering and Science, Kyoto University, 2012

Career:

2012-2014:Researcher, Earth Simulator Center, JAMSTEC
2014- :Researcher, CEIST, JAMSTEC

Awards

  • 2021: Award for Distinguished Young Researcher in Fluid Mechanics, Japan Society of Fluid Mechanics (JSFM), "Influence of Inertial Particle Clustering in Turbulence on Cloud Radiation and Radar Reflectivity Factor"
  • 2015: Young Engineers Award, Japan Society of Mechanical Engineering (JSME), "Study on Radiative Property, Radar Reflectivity and Collision Growth of Droplets Dispersed in Turbulent Flows"
  • 2012: Best CFD Graphics Award, 26th CFD Symposium, "Effect of turbulence on radar observation of clouds" (K. Matsuda, R. Onishi, K. Takahashi, R. Kurose, S. Komori) [Link]

Major Publications

  1. K. Matsuda, K. Yoshimatsu, K. Schneider, Heavy particle clustering in inertial subrange of high–Reynolds number turbulence, Physical Review Letters, Vol. 132, 234001 (2024).
    DOI: 10.1103/PhysRevLett.132.234001
  2. J. R. West, T. Maurel–Oujia, K. Matsuda, K. Schneider, S. S. Jain, K. Maeda, Clustering, rotation, and swirl of inertial particles in turbulent channel flow, International Journal of Multiphase Flow, Vol. 174, 104764 (2024).
    DOI: 10.1016/j.ijmultiphaseflow.2024.104764
  3. T. Maurel-Oujia, K. Matsuda, K. Schneider, Computing differential operators of the particle velocity in moving particle clouds using tessellations, Journal of Computational Physics, Vol. 498, 112658 (2024).
    DOI: 10.1016/j.jcp.2023.112658
  4. Y. Yasuda, R. Onishi, 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, Vol. 243, 110613 (2023).
    DOI: 10.1016/j.buildenv.2023.110613
  5. K. Matsuda, S. Komori, N. Takagaki, R. Onishi, Effects of surface tension reduction on wind-wave growth and air–water scalar transfer, Journal of Fluid Mechanics, Vol. 960, A22 (2023).
    DOI: 10.1017/jfm.2023.144
  6. S. V. Apte, T. Oujia, K. Matsuda, B. Kadoch, X. He, K. Schneider, Clustering of Inertial Particles in Turbulent Flow Through a Porous Unit Cell, J. Fluid Mech., Vol. 937, A9 (2022).
    DOI: 10.1017/jfm.2022.100
  7. R. Onishi, K. Matsuda, H. Suto, Y. Hattori, H. Hirakuchi, S. Matsunami, S. Yagyu, T. Shinohara, H. Katayama, High-Resolution Prediction for the Amount of Airborne Sea Salt by Multi-Scale Weather Simulation, Materials Transactions, Vol. 62, No. 12, pp. 1785-1790 (2021).
    DOI: 10.2320/matertrans.C-M2021848
  8. T. Hakii, K. Shimada, T. Nakanishi, R. Okada, K. Matsuda, R. Onishi, K. Takahashi, Weather Map Prediction Using RGB Metaphorical Feature Extraction for Atmospheric Pressure Patterns, 2021 IEEE/ACIS 19th International Conference on Computer and Information Science (ICIS), Shanghai, China, June 2021.
    DOI: 10.1109/ICIS51600.2021.9516859
  9. K. Matsuda, K. Schneider, K. Yoshimatsu, Scale-dependent statistics of inertial particle distribution in high Reynolds number turbulence, Phys. Rev. Fluids, Vol. 6, 064304 (2021).
    DOI: 10.1103/PhysRevFluids.6.064304
  10. T. Oujia, K. Matsuda, K. Schneider, Divergence and convergence of inertial particles in high-Reynolds-number turbulence, J. Fluid Mech., Vol. 905, A14 (2020).
    DOI: 10.1017/jfm.2020.672
  11. T. Watanabe, J. J. Riley, K. Nagata, K. Matsuda, R. Onishi, Hairpin vortices and highly elongated flow structures in a stably stratified shear layer, J. Fluid Mech., Vol. 878, pp. 37-61 (2019).
    DOI: 10.1017/jfm.2019.577
  12. R. Onishi, D. Sugiyama, K. Matsuda, Super-Resolution Simulation for Real-Time Prediction of Urban Micrometeorology, SOLA, Vol. 15, pp. 178−182 (2019).
    DOI: 10.2151/sola.2019-032
  13. K. Matsuda, R. Onishi, Turbulent enhancement of radar reflectivity factor for polydisperse cloud droplets, Atmos. Chem. Phys., Vol. 19, pp. 1785-1799 (2019).
    DOI: 10.5194/acp-19-1785-2019
  14. T. Watanabe, J. J. Riley, K. Nagata, R. Onishi, K. Matsuda, A localized turbulent mixing layer in a uniformly stratified environment, J. Fluid Mech., Vol. 849, pp. 245-279 (2018).
    DOI: 10.1017/jfm.2018.400
  15. T. Ariki, K. Yoshida, K. Matsuda, K. Yoshimatsu, Scale-similar clustering of heavy particles in the inertial range of turbulence, Phys. Rev. E, Vol. 97, 033109 (2018).
    DOI: 10.1103/PhysRevE.97.033109
  16. K. Matsuda, R. Onishi, K. Takahashi, Tree-crown-resolving large-eddy simulation coupled with three-dimensional radiative transfer model, J. Wind Eng. Ind. Aerodyn., Vol. 173, pp. 53-66 (2018).
    DOI: 10.1016/j.jweia.2017.11.015
  17. K. Matsuda, R. Onishi, K. Takahashi, Influence of gravitational settling on turbulent droplet clustering and radar reflectivity factor, Flow Turb. Combust., Vol. 98, No. 1, pp. 327-340 (2017).
    DOI: 10.1007/s10494-016-9735-4
  18. R. Onishi, H. Fuchigami, K. Matsuda, K. Takahashi, Detailed Cloud Microphysics Simulation for Investigation into the Impact of Sea Spray on Air-Sea Heat Flux, Flow Turb. Combust., Vol. 97, pp. 1111-1125 (2016).
    DOI: 10.1007/s10494-016-9766-x
  19. R. Onishi, K. Matsuda, K. Takahashi, Lagrangian Tracking Simulation of Droplet Growth in Turbulence - Turbulence Enhancement of Autoconversion Rate, J. Atmos. Sci., Vol. 72, pp. 2591-2607 (2015).
    DOI: 10.1175/JAS-D-14-0292.1
  20. K. Matsuda, R. Onishi, M. Hirahara, R. Kurose, K. Takahashi, S. Komori, Influence of microscale turbulent droplet clustering on radar cloud observations, J. Atmos. Sci., Vol. 71, pp. 3569–3582 (2014).
    DOI: 10.1175/JAS-D-13-0368.1
  21. K. Takahashi, R. Onishi, Y. Baba, S. Kida, K. Matsuda, K. Goto, H. Fuchigami, Challenge toward the prediction of typhoon behavior and down pour, J. Physics, Vol. 454, 012072 (2013).
    DOI: 10.1088/1742-6596/454/1/012072
  22. K. Matsuda, R. Onishi, R. Kurose, S. Komori, Turbulence Effect on Cloud Radiation, Phys. Rev. Lett., Vol. 108, 224502 (2012).
    DOI: 10.1103/PhysRevLett.108.224502
  23. R. Onishi, K. Matsuda, K. Takahashi, R. Kurose, S. Komori, Linear and nonlinear inversion schemes to retrieve collision kernel values from droplet size distribution change, Int. J. Multiphase Flow, Vol. 37, pp. 125-135 (2011).
    DOI: 10.1016/j.ijmultiphaseflow.2010.10.004
  24. R. Onishi, K. Matsuda, K. Takahashi, R. Kurose, S. Komori, Retrieval of collision kernels from the change of droplet size distributions with linear inversion, Physica Scripta, T132, 014050 (2008).
    DOI: 10.1088/0031-8949/2008/t132/014050

Invited Lecture

  1. K. Matsuda, T. Maurel-Oujia, K. Yoshimatsu, K. Schneider, Formation of multiscale inertial particle clustering in high Reynolds number turbulence, 5th International Workshop on Cloud Turbulence, Nagoya, Japan, March, 2024.
  2. K. Matsuda, Numerical study on cloud radar reflectivity enhancement due to turbulent droplet clustering, NITech Lectures on Turbulence and Cloud, Nagoya, Japan, March, 2018.
  3. K. Matsuda, Numerical study on turbulent enhancement of radar reflectivity factor of cumuli, Workshop on Cloud Microphysics and Turbulence, Kobe, Japan, November, 2016.
  4. K. Matsuda, R. Onishi, K. Takahashi, High performance computing of urban wind and thermal environments considering three-dimensional radiative transfer, 3rd International Workshops on Advances in Computational Mechanics (IWACOM-III), Tokyo, Japan, October, 2015.

International Conference and Proceedings

  1. T. Maurel-Oujia, K. Matsuda, K. Schneider, Multiscale analysis of inertial particle dynamics in turbulent flows using a tessellation-based method, 76th Annual Meeting of the American Physical Society (APS) Division of Fluid Dynamics, Washington DC, USA, November 2023.
  2. T. Maurel-Oujia, S. Jain, K. Matsuda, K. Schneider, J. West, K. Maeda, Synthesis of preferential concentration of particles in isotropic turbulence using neural networks, 18th European Turbulence Conference (ETC 18), Valencia, Spain, September 2023.
  3. K. Matsuda, T. Maurel-Oujia, K. Schneider, Clustering formation of inertial particles in high Reynolds number isotropic turbulence, 18th European Turbulence Conference (ETC 18), Valencia, Spain, September 2023.
  4. T. Oujia, J. West, K. Matsuda, K. Schneider, S. Jain, K. Maeda, Divergence and rotation of inertial particles in a four-way coupled channel flow, 11th International Conference on Multiphase Flow (ICMF 2023), Kobe, Japan, April 2023.
  5. K. Matsuda, T. Oujia, K. Schneider, Clustering formation of inertial particles in homogeneous isotropic turbulence, 11th International Conference on Multiphase Flow (ICMF 2023), Kobe, Japan, April 2023.
  6. K. Matsuda, K. Schneider, T. Oujia, J. West, S. S. Jain, K. Maeda, Multiresolution analysis of inertial particle tessellations for clustering dynamics, Proceedings of the 2022 Summer Program, Center for Turbulence Research, Stanford University, pp. 143-152, 2022.
  7. T. Oujia, S. S. Jain, K. Matsuda, K. Schneider, J. West, K. Maeda, Neural networks for synthesizing preferential concentration of particles in isotropic turbulence, Proceedings of the 2022 Summer Program, Center for Turbulence Research, Stanford University, pp. 153-162, 2022.
  8. J. R. West, T. Oujia, K. Matsuda, K. Schneider, S. S. Jain, K. Maeda, Divergence and curl of the inertial particle velocity in a four-way coupled turbulent channel flow, Proceedings of the 2022 Summer Program, Center for Turbulence Research, Stanford University, pp. 163-172, 2022.
  9. K. Matsuda, T. Oujia, K. Schneider, J. R. West, S. S. Jain, K. Maeda, Scale-dependent divergence of inertial particle velocity in isotropic turbulence, 75th Annual Meeting of the American Physical Society (APS) Division of Fluid Dynamics, Indianapolis and virtual, USA, November 2022.
  10. K. Schneider, T. Oujia, J. R. West, K. Matsuda, S. S. Jain, K. Maeda, On divergence, curl, and helicity of the inertial particle velocity in a 4-way coupled channel flow, 75th Annual Meeting of the American Physical Society (APS) Division of Fluid Dynamics, Indianapolis and virtual, USA, November 2022.
  11. T. Oujia, S. S. Jain, K. Matsuda, K. Schneider, J. R. West, K. Maeda, Physics-informed neural networks for synthesizing preferential concentration of particles in turbulent flows, 75th Annual Meeting of the American Physical Society (APS) Division of Fluid Dynamics, Indianapolis and virtual, USA, November 2022.
  12. K. Matsuda, T. Sugiyama, Analyses of Odor Gas Advection around the Miura Peninsula Using High-Resolution Meteorological Simulation, 15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics (WCCM-APCOM 2022), Online (Yokohama, Japan), July-August 2022.
  13. T. Sugiyama, K. Matsuda, Highly Resolved Regional Climate Simulations over Southern Kanto in Japan with Pseudo Global Warming Method, 15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics (WCCM-APCOM 2022), Online (Yokohama, Japan), July-August 2022.
  14. Y. Yasuda, R. Onishi, K. Matsuda, Three-Dimensional Super-Resolution of Passive-Scalar and Velocity Distributions Using Neural Networks for Real-Time Prediction of Urban Micrometeorology, 15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics (WCCM-APCOM 2022), Online (Yokohama, Japan), July-August 2022. (Keynote)
  15. S. Qian, X. Hu, T. Furuta, K. Matsuda, K. Nagata, R. Onishi, T. Watanabe, Sensitivity Study of Turbulence Models and Mesh Size for CFD Simulations of Jet in Cross Flow for Prediction of Hot Air Recirculation, 15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics (WCCM-APCOM 2022), Online (Yokohama, Japan), July-August 2022.
  16. T. Furuta, T. Watanabe, K. Nagata, X. Hu, K. Matsuda, R. Onishi and S. Qian, Direct numerical simulation of turbulent mixing in a heated swirling jet issued into a cross-flow, 15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics (WCCM-APCOM 2022), Online (Yokohama, Japan), July-August 2022.
  17. K. Matsuda, K. Yoshimatsu, K. Schneider, Large-scale clustering of inertial particles in homogeneous isotropic turbulence, 12th International Symposium on Turbulence and Shear Flow Phenomena (TSFP12), Online (Osaka, Japan), July, 2022.
  18. T. Oujia, K. Matsuda, K. Schneider, Extreme divergence and rotation values of the inertial particle velocity in high Reynolds number turbulence using Voronoi tessellation, 12th International Symposium on Turbulence and Shear Flow Phenomena (TSFP12), Online (Osaka, Japan), July, 2022.
  19. X. He, T. Oujia, B. Kadoch, K. Matsuda, K. Schneider, S. V. Apte, Quantification of Inertial Particle Clustering and Geometric Confinement Effects in Turbulent Flow Through a Porous Cell, 74th Annual Meeting of the American Physical Society (APS) Division of Fluid Dynamics, Phoenix, USA, November, 2021.
  20. T. Oujia, K. Matsuda, K. Schneider, Quantifying divergence and rotation of the inertial particle velocity in high Reynolds number turbulence using Voronoi and Delaunay tessellation, 74th Annual Meeting of the American Physical Society (APS) Division of Fluid Dynamics, Phoenix, USA, November, 2021.
  21. K. Matsuda, K. Schneider, K. Yoshimatsu, Large-scale Clustering in Particle-Laden Homogeneous Isotropic Turbulence, 18th International Conference on Flow Dynamics (ICFD2021), Online (Sendai, Japan), October, 2021.
  22. X. He, T. Oujia, B. Kadoch, K. Matsuda, K. Schneider, S. Apte, Clustering of Inertial Particles in Turbulent Flow Through a Face-Centered Cubic Cell, 73rd Annual Meeting of the American Physical Society (APS) Division of Fluid Dynamics, Virtual (Chicago, USA), November, 2020.
  23. K. Matsuda, K. Schneider, K. Yoshimatsu, On large-scale clustering in particle laden turbulence, 73rd Annual Meeting of the American Physical Society (APS) Division of Fluid Dynamics, Virtual (Chicago, USA), November, 2020.
  24. T. Oujia, K. Matsuda, K. Schneider, Analysis of divergence and rotation of the inertial particle velocity in high Reynolds number turbulence, 73rd Annual Meeting of the American Physical Society (APS) Division of Fluid Dynamics, Virtual (Chicago, USA), November, 2020.
  25. K. Matsuda, K. Schneider, K. Yoshimatsu, Inertial particle distribution in high Reynolds number turbulence: wavelet-based scale-dependent statistics, 72nd Annual Meeting of the American Physical Society Division of Fluid Dynamics (APS/DFD 2019), Seattle, USA, November, 2019.
  26. T. Oujia, K. Matsuda, K. Schneider, Divergence and convergence of inertial particles in high Reynolds number turbulence, 72nd Annual Meeting of the American Physical Society Division of Fluid Dynamics (APS/DFD 2019), Seattle, USA, November, 2019.
  27. S. Apte, T. Oujia, X. He, B. Kadoch, K. Matsuda, K. Schneider, Pore-Scale Investigation of Clustering of Inertial Particles in Turbulent Flow Through a Porous Medium, 72nd Annual Meeting of the American Physical Society Division of Fluid Dynamics (APS/DFD 2019), Seattle, USA, November, 2019.
  28. T. Watanabe, J. J. Riley, K. Nagata, K. Matsuda, R. Onishi, Large-scale and Small-scale Turbulent Structures in a Stably Stratified Shear Layer, 72nd Annual Meeting of the American Physical Society Division of Fluid Dynamics (APS/DFD 2019), Seattle, USA, November, 2019.
  29. T. Ariki, K. Yoshida, K. Matsuda, K. Yoshimatsu, Closure theory for particle clustering in turbulence, 17th European Turbulence Conference (ETC17), Turin, Italy, September, 2019.
  30. K. Matsuda, K. Schneider, K. Yoshimatsu, Intermittency of inertial particle distribution in high Reynolds number turbulence, 17th European Turbulence Conference (ETC17), Turin, Italy, September, 2019.
  31. T. Watanabe, J. J. Riley, K. Nagata, K. Matsuda, R. Onishi, DNS study on large-scale and small-scale flow structures of stably-stratified shear layers, 17th European Turbulence Conference (ETC17), Turin, Italy, September, 2019.
  32. K. Matsuda, S. Komori, N. Takagaki, R. Onishi, Effects of surface tension reduction on momentum and scalar transfer in wind-wave two-phase turbulent flow, 11th International Symposium on Turbulence and Shear Flow Phenomena (TSFP11), Southampton, UK, August, 2019.
  33. R. Onishi, S. Takeuchi, T. Fukada, K. Matsuda, T. Kajishima, Size-Resolving Simulation for Colliding Inertial Particles in Homogeneous Isotropic Turbulence, 9th International Symposium on Turbulence, Heat and Mass Transfer (THMT-18), Rio de Janeiro, Brazil, July, 2018.
  34. K. Matsuda, R. Onishi, K. Takahashi, Tree-crown-resolving large-eddy simulation for evaluating greenery effects on urban heat environments, AGU Fall Meeting, New Orleans, USA, December, 2017.
  35. K. Matsuda, N. Takagaki, R. Onishi, S. Komori, Effects of surface tension reduction on development of wind-driven gravity-capillary waves, IUTAM Symposium "Wind Waves", London, UK, September, 2017.
  36. K. Matsuda, R. Onishi, K. Takahashi, Multiscale turbulent clustering of bidispersed inertial particles in isotropic turbulence, 16th European Turbulence Conference, Stockholm, Sweden, August, 2017.
  37. K. Matsuda, R. Onishi, K. Takahashi, Enhancement of cloud radar reflectivity factor due to turbulent clustering of settling water droplets, Turbulence Conference at Mauna Kea (TCM2017): Recent advances in turbulence research, 98th Annual Meeting of the American Association for the Advancement of Science (AAAS) Pacific Division, Hawai`i, USA, June, 2017.
  38. T. Ariki, K. Yoshida, K. Matsuda, K. Yoshimatsu, Scale similarity of the particle clustering in the inertial range of turbulence, Turbulence Conference at Mauna Kea (TCM2017): Recent advances in turbulence research, 98th Annual Meeting of the American Association for the Advancement of Science (AAAS) Pacific Division, Hawai`i, USA, June, 2017.
  39. K. Matsuda, R. Onishi, K. Takahashi, High-resolution large-eddy simulation for analyzing greenery effect in Tokyo Bay Zone, 8th Japanese-German Meeting on Urban Climatology "Climate Analysis for Urban Planning", Suita, Japan, March, 2017.
  40. K. Matsuda, T. Sugiyama, R. Onishi, K. Takahashi, Tree-Crown-Resolving Large-Eddy Simulation for Thermal Environment Analysis in an Urban Green Space, 12th World Congress on Computational Mechanics (WCCM XII) and 6th Asia-Pacific Congress on Computational Mechanics (APCOM VI), Seoul, Korea, July, 2016.
  41. A. Kawano, T. Sugiyama, K. Matsuda, R. Onishi, K. Takahashi, Water Cycle Simulation using Atmosphere-Ocean-Land coupled model, 12th World Congress on Computational Mechanics (WCCM XII) and 6th Asia-Pacific Congress on Computational Mechanics (APCOM VI), Seoul, Korea, July, 2016.
  42. K. Matsuda, T. Sugiyama, R. Onishi, S. Kawahara, F. Araki, K. Takahashi, High-resolution large-eddy simulation for analyzing cooling effect of trees in an urban green space, JSST2015 The 34th JSST Annual Conference: International Conference on Simulation Technology, pp.470-473, Toyama, Japan, October, 2015.
  43. K. Matsuda, R. Onishi, S. Yamada, H. Yamato, M. Ishikawa, K. Takahashi, Numerical analysis of heat environment in central Tokyo using tree-crown-resolving large-eddy simulation considering three-dimensional radiation process, 9th International Conference on Urban Climate (ICUC9), Toulouse, France, July, 2015.
  44. K. Matsuda, R. Onishi, K. Takahashi, Influence of gravitational settling on turbulent droplet clustering and radar reflectivity factor, 9th International Symposium on Turbulence and Shear Flow Phenomena (TSFP9), Melbourne, Australia, June-July, 2015.
  45. K. Matsuda, R. Onishi, K. Takahashi, Influence of turbulent clustering of polydispersed cloud droplets on radar reflectivity factor, First International Conference on Computational Engineering and Science for Safety and Environmental Problems (COMPSAFE 2014), Sendai, Japan, April, 2014.
  46. K. Matsuda, R. Onishi, M. Hirahara, K. Takahashi, R. Kurose, S. Komori, Modeling of turbulence effect on radar reflectivity factor in clouds, Eighth International Symposium on Turbulence and Shear Flow Phenomena (TSFP-8), Poitiers, France, August, 2013.
  47. K. Matsuda, M. Hirahara, R. Onishi, K. Takahashi, R. Kurose, S. Komori, Influence of Turbulent Droplet Clustering on Microwave Scattering, International Conference on Simulation Technology (JSST2012), Kobe, Japan, September, 2012.
  48. K. Matsuda, R. Kurose, S. Komori, R. Onishi, Effect of Stokes Number on Radiative Properties of Turbulent Clustering Droplets, Third Asian Symposium on Computational Heat Transfer and Fluid Flow - 2011 (ASCHT2011), Kyoto, Japan, September, 2011.
  49. K. Matsuda, R. Onishi, R. Kurose, S. Komori, Turbulence effect on radiative transfer in clouds, Seventh International Symposium on Turbulence and Shear Flow Phenomena (TSFP-7), Ottawa, Canada, July, 2011.
  50. R. Onishi, K. Matsuda, K. Takahashi, R. Kurose, S. Komori, Inversion Schemes for the Retrieval of Droplet Collision Kernels from Size Distribution Change, Asian-Pacific Association for Computational Mechanics (APCOM) in conjunction with the Conference Board for the Enhancement and Promotion of Computational Methods in Engineering and Science (EPMESC), MS34-1-1, Kyoto, Japan, December, 2007.
  51. R. Onishi, K. Matsuda, K. Takahashi, R. Kurose, S. Komori, Retrieval of collision kernels from the change of droplet size distributions with a simple inversion scheme, International Workshop Turbulent Mixing and Beyond (TMBW-07), Trieste, Italy, August, 2007.

Press Release

  • 31 March 2016:"Greenery Effect in Tokyo Bay Zone Analyzed by Ultra-high-resolution Numerical Simulations - Contribute to sustainable environmental measures towards and beyond 2020 Tokyo Olympics and Paralympics -" (JAMSTEC) [Link]
  • 19 March 2015:"Cooling Effect of Urban Green Oasis - Elucidated with 3D Observations and High-Resolution Simulations -" (JAMSTEC, Mitsubishi Jisho Sekkei Inc., Takenaka Corporation) [Link]

Simulation Movies

  • Numerical simulation of thermal environment in the Kumagaya Sports & Culture Park
    (Urban-scale LES using the atmosphere-ocean coupled model MSSG)
  • Temperature distribution on a sunny summer day in the Tokyo Bay Zone
    (Urban-scale LES using the atmosphere-ocean coupled model MSSG)
  • Thermal environment around Marunouchi Park Building
    (Urban-scale LES using the atmosphere-ocean coupled model MSSG)