JAMSTEC > 付加価値情報創生部門（VAiG） > 地球情報科学技術センター（CEIST） > メンバー > 松田景吾

地球情報科学技術センター（CEIST）

松田 景吾　（MATSUDA, Keigo）

プロフィール

所属・役職国立研究開発法人海洋研究開発機構 付加価値情報創生部門
地球情報科学技術センター・副主任研究員
専門熱流体工学
研究分野混相乱流，放射熱伝達，雲微物理，建物・樹冠解像LES
連絡先
所在地:〒236-0001 神奈川県横浜市金沢区昭和町 3173-25
(国研)海洋研究開発機構 横浜研究所
TEL:045-778-5833
FAX:045-778-5492
E-mail:k.matsuda (at) jamstec.go.jp

略歴

出身：

石川県金沢市

学歴：

2003年 3月石川県立金沢泉丘高等学校卒業
2007年 3月京都大学工学部物理工学科卒業
2009年 3月京都大学大学院工学研究科機械理工学専攻修士課程修了
2012年 3月京都大学大学院工学研究科機械理工学専攻博士後期課程修了
博士（工学）取得

職歴：

2012年 4月～2014年 3月独立行政法人海洋研究開発機構*
地球シミュレータセンター 研究員
2014年 4月～2022年 3月同 地球情報基盤センター 研究員**
2022年 4月～同 地球情報科学技術センター 副主任研究員
*2015年4月より国立研究開発法人
**2021年7月より副主任研究員

その他：

2009年 4月～2012年 3月日本学術振興会　特別研究員 (DC1)
2018年 9月～2019年 8月JAMSTEC在外研究員派遣（Aix-Marseille大学）

受賞

  • 2020年: 日本流体力学会竜門賞, 「乱流中の慣性粒子クラスタリングが雲放射・レーダ反射に及ぼす影響の解明」 [Link]
  • 2015年: 日本機械学会奨励賞（研究）, 「乱流中に分散する液滴の放射特性，レーダ反射特性および衝突成長特性の研究」
  • 2012年: 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, 「雲のレーダ観測に及ぼす乱流の影響」（松田景吾, 大西 領, 高橋桂子, 黒瀬良一, 小森 悟 共著） [Link]

主な研究業績

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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, Vol. 69, pp. 169-174 (2020).
    DOI: 10.3323/jcorr.69.169
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. K. Takahashi, R. Onishi, Y. Baba, S. Kida, K. Matsuda, K. Goto, H. Fuchigami, Challenge toward the prediction of typhoon behavior and down pour, Journal of Physics, Vol. 454, 012072 (2013).
    DOI: 10.1088/1742-6596/454/1/012072
  17. 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
  18. 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
  19. 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, Vol. 74, pp. 1777-1784 (2008).
  20. 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
  21. 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, Vol. 73, pp. 2062-2069 (2007).

招待講演

  1. K. Matsuda, Numerical study on cloud radar reflectivity enhancement due to turbulent droplet clustering, NITech Lectures on Turbulence and Cloud, Nagoya, Japan, March, 2018.
  2. K. Matsuda, Numerical study on turbulent enhancement of radar reflectivity factor of cumuli, Workshop on Cloud Microphysics and Turbulence, Kobe, Japan, November, 2016.
  3. 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.

主な国際会議発表

  1. 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.
  2. 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.
  3. 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)
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. T. Ariki, K. Yoshida, K. Matsuda, K. Yoshimatsu, Closure theory for particle clustering in turbulence, 17th European Turbulence Conference (ETC17), Turin, Italy, September, 2019.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. K. Matsuda, R. Onishi, K. Takahashi, Multiscale turbulent clustering of bidispersed inertial particles in isotropic turbulence, 16th European Turbulence Conference, Stockholm, Sweden, August, 2017.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. K. Matsuda, R. Onishi, K. Takahashi, Anisotropic turbulent clustering of cloud droplets settling in isotropic turbulence, 9th International Conference on Multiphase Flow (ICMF2016), Firenze, Italy, May, 2016.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.

プレスリリース等

  • 2021年10月29日:「高解像度気象シミュレーションを用いた異臭ガスの移流解析結果について」（松田景吾, 杉山　徹）, 神奈川県環境科学センター 令和3年度業績発表会 [Link]
  • 2018年8月2日:「話題の研究　謎解き解説　最新スーパーコンピュータ技術を駆使して暑さから人々を守る！ヒートアイランド対策に「地球シミュレータ」による予測結果を活用」 （JAMSTEC） [Link]
  • 2017年5月19日：「「海洋都市横浜」を海風利用で涼しくさせるまちづくりへ ―みなとみらい21地区をフィールドとした数値シミュレーションと観測から解析―」， （JAMSTEC，横浜国立大学） [Link]
  • 2016年3月31日:「超高解像度数値シミュレーションにより東京湾臨海部の緑地の効果を解析 ～2020年東京オリンピック・パラリンピック競技大会を契機とした暑熱環境対策の検討に貢献～」 （JAMSTEC） [Link]
  • 2015年3月19日:「高層ビルに囲まれたオアシス緑地の低温化現象と樹木の効果 ―3次元連続観測と街区解像シミュレーションにより解明―」 （JAMSTEC，株式会社 三菱地所設計，株式会社 竹中工務店） [Link]

シミュレーション動画

  • 熊谷スポーツ文化公園を対象とした効果的な暑熱対策のための熱環境シミュレーション
    （マルチスケール大気海洋結合モデルMSSGによる街区スケールLES）
  • 東京湾臨海部において海風が吹く夏季晴天日の気温の分布
    （マルチスケール大気海洋結合モデルMSSGによる街区スケールLES）
  • 丸の内パークビル周辺の熱環境
    （マルチスケール大気海洋結合モデルMSSGによる街区スケールLES）