Yousuke Sato

Japanese


SCALE Library

Self Introduction

Blography

Doctoral Desertation

Professional Experience

Teaching Experience

Jan.2016: For Under graduate students; Simulation on Nature and Social science, Departmente of Science, University of Hyogo

Membership

Survice activities

Referee

Public Lecture

  1. 2015 Jul.: Public Lecture on cloud, Public discourse by Hydrospheric Atmospheric Research Center (HyARC), Nagoya University (in Japanese)

  2. 2016 Oct.: Interview to Researcher (Lecture for high-school students)No. 3, Computational Science for All vol. 11, (in Japanese)

Press Release

  1. 2016 May.:Current atmospheric models underestimate the dirtiness of Arctic air

Publication

Paper

  1. Y. Sato, T. Nakajima, K. Suzuki, and T. Iguchi, 2009, Application of a Monte Carlo integration method to collision and coagulation growth processes of hydrometeors in a bin-type model., J. Geophys. Res., 114, D09215, doi:10.1029/2008JD011247 full text PDF(UT Repository)

  2. Shibata, Y., Y. Murai, Y. Satoh, Y. Fukushima, K. Okajima, M. Ikeuchi, and S. Itoh, 2009, Acceleration of Electron-Transfer-Induced Fluorescence Quenching upon Conversion to the Signaling State in the Blue-Light Receptor, TePixD, from Thermosynechococcus elongatus, J. Phys. Chem. B., 113, 8192-8198 full text PDF(Pub Med)

  3. Y.Sato, K. Suzuki, T. Iguchi, I.-J. Choi, H. Kadowaki, and T. Nakajima, (2012a), Characteristics of Correlation Statistics between Droplet Radius and Optical Thickness of Warm Clouds Simulated by a Three-Dimensional Regional-Scale Spectral Bin Microphysics Cloud Model, J. Atmos. Sci., 69, 484-502 Abstract, full text PDF(UT REpository)

  4. Y.Sato, T. Y. Nakajima, and T. Nakajima, (2012b), Investigation of the vertical structure of warm cloud microphysical properties using the cloud evolution diagram, CFODD, simulated by three-dimensional spectral bin microphysical model, J. Atmos. Sci., 69, 2012-2030, Abstract, full text PDF(UT Repository)

  5. Y.Sato, S. Nishizawa, H. Yashiro, Y. Miyamoto, and H. Tomita(2014), Potential of Retrieving Shallow-Cloud Life Cycle from Future Generation Satellite Observations through Cloud Evolution Diagrams: A Suggestion from a Large Eddy Simulation, SOLA, 10, 10-14, doi:10.2151/sola.2014-003 full text PDF(J-stage)

  6. Y.Sato, Y.Miyamoto, S. Nishizawa, H. Yashiro, Y. Kajikawa, R. Yoshida, T. Yamaura, and H. Tomita(2015), Horizontal Distance of Each Cumulus and Cloud Broadening Distance Determine Cloud Cover, SOLA, 11, 75-79, doi:10.2151/sola.2015-019 full_text_PDF(J-stage)

  7. Y.Sato, S. Nishizawa, H. Yashiro, Y.Miyamoto, Y. Kajikawa,and H. Tomita(2015), Impacts of cloud microphysics on trade wind cumulus: which cloud microphysics processes contribute to the diversity in a large eddy simulation?, Prog. Earth Planet. Sci., 2, 23, doi:10.1186/s40645-015-0053-6 full_text_PDF(Springer)

  8. S. Nishizawa, H.Yashiro, Y.Sato, Y.Miyamoto, and H. Tomita(2015), Influence of grid aspect ratio on planetary boundary layer turbulence in large-eddy simulations, Geosci. Model Dev., 8, 3393-3419, doi:10.5194/gmd-8-3393-2015 full_text_PDF

  9. Y. Liu, Y. Sato, R. Jia, Y. Xie, J. Huang, and T. Nakajima(2015), Modeling study on the transport of summer dust and anthropogenic aerosols over the Tibetan Plateau, Atmos. Chem. Phys., 15, 12581-12594, doi:10.5194/acp-15-12581-2015 full_text_PDF

  10. T. Iguchi, I.-J. Choi, Y. Sato, K. Suzuki, and T. Nakajima(2015), Overview of the development of the Aerosol Loading Interface for Cloud microphysics In Simulation (ALICIS), Prog. Earth Planet. Sci., 2:45, doi:10.1186/s40645-015-0075-0 full_text_PDF

  11. S. Nishizawa, M. Odakta, Y. O. Takahashi, K. Sugiyama, K. Nakajima, M. Ishiwatari, S. Takehiro, H. Yashiro, Y. Sato, H. Tomita, and Y.-Y. Hayashi(2016), Martian dust devil statistics from high-resolution large-eddy simulations, Geophys. Res. Lett., 43, doi:10.1002/2016GL068896 full_text_PDF

  12. Y. Sato, H. Miura, H. Yashiro, D. Goto, T. Takemura, H. Tomita, and T. Nakajima(2016), Unrealistically pristine air in the Arctic produced by current global scale models, Scientific Reports, 6, 26561, doi:10.1038/srep26561 full_text_PDF

  13. Y. Sato, A. Higuchi, A. Takami, A. Murakami, Y. Masutomi, K. Tsuchiya, D. Goto, and T. Nakajima(2016), Regional variability in the impacts of future land use on summertime temperatures in Kanto region, the Japanese megacity, Urban For. Urban Green., 20, 43-55, doi:10.1016/j.ufug.2016.07.012 full_text_PDF

  14. T. Michibata, K. Suzuki, Y. Sato, and T. Takemura(2016), The source of discrepancies in aerosol-cloud-precipitation interactions between GCM and A-Train retrievals, Atoms. Chem. Phys., 16, 15413-15424, doi:10.5194/acp-16-15413-2016 full text PDF

  15. R. Yoshida, S. Nishizawa, H. Yashiro, S. A. Adachi, Y. Sato, T. Yamaura, and H. Tomita, (2017), CONeP: A cost-effective online nesting procedure for regional atmospheric models, Parallel Computing, 65, 21-31, doi:10.1016/j.parco.2017.04.004 full text PDF

  16. Y. Sato, S. Shima, and H. Tomita, (2017), A grid refinement study of trade wind cumuli simulated by a Lagrangian cloud microphysical model: the super-droplet method, Atmos. Sci. Lett., 18, 350-365, doi:10.1002/asl.764 full text PDF

  17. T. Enoto, Y. Wada, Y. Furuta, K. Nakazawa, T. Yuasa, K. Okuda, K. Makishima, M. Sato, Y. Sato, T. Nakano, D. Uemoto, and H. Tsuchiya, (2017), Photonuclear reactions triggered by lightning discharge, Nature, 551, 481-485, doi:10.1038/nature24630 full text PDF

  18. Y. Sato, D. Goto, T. Michibata, K. Suzuki, T. Takemura, H. Tomita, and T. Nakajima, (2018), Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model, Nature Communications, 9, 985, doi:10.1038/s41467-018-03379-6 full text PDF

  19. Y. Sato, S. Shima, and H. Tomita, (2018), Numerical convergence of shallow convection cloud field simulations: Comparison between double-moment Eulerian and particle-based Lagrangian microphysics coupled to the same dynamical core, J. Adv. Model. Earth Sys., 10, 1495-1512, doi:10.1029/2018MS001285 full text PDF

International Conference/Workshop(* is presenter)

  1. *Y. Shibata, Y. Satoh, D. Fujita, T. Tomii and S. Itoh, Femtosecond Fluorescence Up-Conversion Study of Light Harvesting and Electron Transfer in Intact Purple Photosynthetic Bacterial Membrane., 5th East Asian Biophysics Symposium, 2P346, Okinawa, Japan., November, 2006

  2. *Y. Shibata, Shunsuke K., Y. Satoh, and S. Itoh., Detection of Ultra-Fast Process in the Energy Electron Transfer Dynamics in Photosystem I Reaction Center., 14th International Congress of Photosynthesis, PS2.19 Glasgow, Scotland, July, 2007

  3. *Y. Sato,T. Nakajima, K. Suzuki, and T. Iguchi, Application of a Monte Carlo integration method to collision and coagulation growth processes of hydrometeors in a bin-type model., 11th The University Allied Workshop for Climate and Environmental Changes, Seoul, Korea, June 2009

  4. *Y. Sato,T. Nakajima, and K. Suzuki, Application of a Monte-Carlo integration method to collision and coagulation growth processes of hydeometeors in a bin-type model., 13th Conference on Cloud Physics, P1.50, Portland, Oregon, USA, June, 2010, Extended Manuscript

  5. *Y. Sato,T. Nakajima, K. Suzuki, and T. Iguchi, Numerical Simulation of stratocumulus off the coast of California.,Radiation, Cloud, Aerosol, and Climate workshop, Sendai, Japan, August, 2010

  6. *Y.Sato, T. Nakajima, T. Iguchi, Numerical Simulation of stratocumulus off the coast of california., First International Workshop on Nonhydrostatic Numerical Models, Kyoto, Japan, September-Octover, 2010, Abstract (UT Repository)

  7. *Y. Sato, T. Nakajima, K. Suzuki, T. Iguchi, I.-J. Choi, A study of the microphysical mechanism for correlation patterns between droplet radius and optical thickness of warm clouds off the coast of California as simulated by a downscaling spectral bin microphysical model., American Geophysical Union Fall meeting, A21C-101, San Francisco, December, 2010, PDF(UT Repository)

  8. *Y. Sato, K. Suzuki, and T. Nakajima, A study of microphysical mechanism for correlation patterns between droplet radius and optical thickness of warm clouds simulated idealized and downscaling simulation by a three-dimensional spectral bin microphysical model., European Geoscience Union General Assembly, EGU2011-5096, Vienna, Austria, April, 2011 Abstract(EGU web page) Presen_file(EGU web page)

  9. *H. Tsuruta, Y. Sato, M. Hashimoto, and T. Nakajima, Regional distribution of radioactive Cs concentrations in the surface soil of agricultural-ecosystems affected by the accident of Fukushima nuclear power plants, International Congress for Analytical Sciences 2011(ICAS2011), 24P124, Kyoto, Japan, May, 2011

  10. *Y. Sato, T. Nakajima, K. Suzuki, J. B. Jensen, T. Y. Nakajima, and H. Takenaka, Validation of JMANHM+HUCM through comparisons with satellite and aircraft observation in DYCOMS-II period., xxv International Union of Geodesy Geophysics General Assembly, #3571., Melbourne, Australia, June, 2011 PDF file(UT Repository)

  11. *Y. Sato, T. Y. Nakajima, and T. Nakajima, Investigation of the vertical structure of warm cloud microphysical properties using the cloud evolution diagram, CFODD, simulated by three-dimensional spectral bin microphysical model, International Radiation Symposium, IRS2012-66, Berlin, Germany, August, 2012 Abstract (IRS-2012 home page)

  12. Y. Sato, *H.Yashiro, S. Nishizawa, Y.Miyamoto, H. Tomita, and Team-SCALE, Development of SCALE-LES3 model and numerical simulations of shallow clouds by the model, Second International Workshop on Nonhydrostatic Numerical Models, Sendai, Japan, November, 2012

  13. *Y. Sato, H. Yashiro, S. Nishizawa, Y. Miyamoto, H. Tomita, Development of SCALE-LES3 model and numerical simulation of shallow clouds by the model, 1st International conference on Frontires in computational physics: Modeling the earth system, O15, Boulder, CO, USA, December, 2012

  14. *Y. Sato, S. Nishizawa, H. Yashiro, Y. Miyamoto, H. Tomita, Team-SCALE, Numerical simulations of stratocumulus off the west coast of California, RIKEN AICS international symposium 2013, Kobe, Japan, February, 2013

  15. *D. Goto, Y. Sato., H. Yashiro, K. Suzuki, T. Nakajima, A model evaluation of global high-resolving simulated aerosol distributions, Asian Conference on Meteorology, O-2-14, Kobe, Japan, Oct., 2015

  16. *D. Goto, Y. Sato, H. Yashiro, K. Suzuki, T. Nakajima, Simulation and validation of global aerosol distributions using a nonhydrostatic icosahedral atmospheric model with 14 km grid spacing, American Geophysical Union (AGU) Fall Meeting 2015, A31D-0096, San Francisco, CA, USA, Dec., 2015

  17. *Y. Sato, K. Suzuki, T. Michibata, H. Yashiro, D. Goto, T. M. Nagao, H. Tomita, and T. Nakajima, Impacts of the autoconversion scheme on the clouds as simulated by a global cloud system-resolving model: regional variability of the impacts, AGU Fall meeting 2015, A51M-0253, San Francisco, CA, USA, Dec., 2015

  18. *Y. Sato and S. Shima, Impacts of grid resolution on the maritime cumulus simulated by the stochastic lagrangian cloud microphysical scheme, 17th International Conference on Clouds and Precipitations, P2.12, Manchester, UK, Jul., 2016

  19. *Y. Sato, H. Miura, H. Yashiro, D. Goto, T. Takemura, H. Tomita, and T. Nakajima, Current-generation global climate models inevitably underestimate pollutant transports to the Arctic, The 4th International Workshop on Nonhydrostatic Numerical Models, Kanagawa, Japan, Dec., 2016

  20. *Y. Sato, S. Shima, and H. Tomita, Impacts of spatial grid resolution on the cloud cover of marine shallow cumulus, The 4th International Workshop on Nonhydrostatic Numerical Models, P14, Kanagawa, Japan, Nov.-Dec., 2016

  21. Y.Sato, H. Miura, H.Yashiro, D. Goto, T. Takemura, T. Michibata, K. Suzuki, T. Nakajima, Suggestions from a global cloud system resolving simulation to global climate model -Transportation of black carbon aerosol to the Arctic-, JpGU-AGU Joint Meeting 2017, AAS02-06, Chiba, Japan, May, 2017 (Invited)

  22. Y.Sato, D. Goto, T. Michibata, K. Suzuki, T. Takemura, H. Tomita, and T. Nakajima, Estimation of the second indirect effect by using a global cloud system resolving model, 2017 CFMIP Meeting on Clouds, Precipitation, Circulation, and Climate Sensitivity, PW 43, Tokyo, Tokyo, Japan, 2017

  23. Y.Sato, et al., 2nd Atmospheric Model Intercomparison Project for Fukushima Daiichi Nuclear Power Plant Accident on March 2011 ~ 2nd FDNPP-MIP, AMS annual meeting, 1152, Austin, TX, USA, January, 2018

  24. Y.Sato, The second indirect effect estimated by global cloud system resolving simulation (GCRM) and GCM, Bounding the aerosol effective radiative forcing, 26, Kreuth, Germany, February, 2018, (Invited)

  25. Y.Sato, et al., Model Intercomparison study for atmospheric 137Cs from the Fukushima Daiichi Nuclear Power Plant Accident using identical input data, EGU General Assembly 2018, EGU2018-2882, Vienna, Austria, April, 2018

  26. Y.Sato, and H. Tomita, Development of lightning model for a next generation library for weather and climate model, SCALE, 16th International Conference on Atmospheric Electricity, P-05-03, Nara, Japan, June, 2018

Domestic Conference/Workshop(* is presenter)

  1. Y. Sato, K. Suzuki, and T. Nakajima, Calculation of collision-coagulation process of clouds by using random number method (in Japanese), Japan Meteorological Society Spring meeting 2007, P314, Tokyo, Jun. 2007 (Poster)

  2. Y. Sato, K. Suzuki, and T. Nakajima, Calculation of collision-coagulation process of clouds by using random number method 2 ~ evaluation and sensitivity experiments ~ (in Japanese), Japan Meteorological Society Fall meeting 2007, P349, Sapporo, Jun. 2007 (Poster)

  3. Y. Sato, T. Nakajima, K. Suzuki, and T. Iguchi, Evaluation of spectral bin microphysics using video-sonde observation (in Japanese), 11th Workshop on Nonhydrostatic Numerical Model, F4, Hirosaki, Sep. 2009 (Oral)

  4. Y. Sato, T. Nakajima, K. Suzuki, and T. Iguchi, Numerical experiments targeting on the growth mechanism of cloud particles in convective clouds (in Japanese), Japan Meteorological Society Fall meeting 2009, P125, Fukuoka, Nov. 2009 (Poster)

  5. Y. Sato, Numerical simulation of stratocumulus off the coast of California (in Japanese), Japan Meteorological Society Summer school of Yong Scientists, A22, Kyoto, Jul. 2010 (Oral)

  6. Y. Sato, K. Suzuki, T. Iguchi and T. Nakajima, Numerical simulation of stratocumulus off the coast of California (in Japanese), Japan Meteorological Society Fall meeting 2010, P349, Kyoto, Oct. 2010 (Poster)

  7. Y. Sato, T. Nakajima, J. B. Jensen, T. Y. Nakajima, and H. Takenaka, Validation of JMANHM+HUCM through the comparison between model, satellite, and aircraft observation (in Japanese), Japan Meteorological Society Spring meeting 2011, P119, Tokyo, May. 2011 (Poster)

  8. Y. Sato, and T. Nakajima, Numerical simulation of stratocumulus off the coast of California 2 ~ sensitivity experiment on boundary layer height (in Japanese), Japan Meteorological Society Fall meeting 2010, P349, Nagoya, Nov. 2011 (Poster)

  9. Y. Sato, T. Y. Nakajia, and T. Nakajima, Confirmation of the concept about the cloud growth over the CFODD by using spectral bin microphysical model (in Japanese), Japan Meteorological Society Spring meeting 2012, B306, Tsukuba, May. 2012 (Oral)

  10. Y. Sato, H. Yashiro, S. Nishizawa, Y. Miyamoto, Team-SCALE (in Japanese), and H. Tomita, Numerical simulation of shallow clouds using SCALE-LES, Japan Meteorological Society Fall meeting 2012, D166, Sapporo, Oct. 2012 (Oral)

  11. Y. Sato, H. Yashiro, S. Nishizawa, Y. Miyamoto, H. Tomita, and Team-SCALE, Contribution from the computational science to science of aerosol and cloud microphysics (in Japanese), Japan Meteorological Society Spring meeting 2013, B460, Tsukuba, May. 2013 (Oral, Invited talk)

  12. Y. Sato, D. Goto, H. Yashiro, T. T. N. Trieu, H. Tomita, and T. Nakajima, Numerical simulations of aerosol and chemical species targeting on Kanto region by using JMANHM coupled with aerosol and chemical transport model, Japan Meteorological Society Fall meeting 2013, P184, Sendai, Nov. 2013 (Poster)

  13. Y. Sato, S. Nishizawa, H. Yashiro, Y. Miyamoto, and H. Tomita, Temporal evolution of CFODD simulated by model with ultra-fine resolution, Workshop on GSMaP and Satellite Simulator, Nagoya, Feb. 2014 (Oral)

  14. Y. Sato, S. Nishizawa, H. Yashiro, Y. Miyamoto, H. Tomita, and Team-SCALE, Development of basic common library (SCALE) for next generation High Performance Computer (HPC) and introduction of dataset created by SCALE, Japan Geoscience Union Annual meeting 2014, ACG38-P02, Yokohama, Apr. 2014 (Poster)

  15. Y. Sato, S. Nishizawa, H. Yashiro, Y. Miyamoto, and H. Tomita, Impacts of cloud microphysical scheme on boundary layer clouds simulated by a numerical model, Japan Meteorological Society Spring meeting 2014, C305, Yokohama, May. 2014 (Oral)

  16. Y. Sato, S. Nishizawa, H. Yashiro, Y. Miyamoto, Y. Kajikawa, and H. Tomita, Transition from stratocumulus to cumulus simulated by LES model covering large calculation domain with fine grid resolution. Japan Meteorological Society Fall meeting 2014, D166, Fukuoka, Oct. 2014 (Oral)

  17. Y. Sato, and S. Shima, Simulation of shallow cumuli over the ocean using super droplet method (SDM) and evaluation of the SDM, Japan Meteorological Society Spring meeting 2015, P311, Tsukuba, May. 2015 (Poster)

  18. Y. Sato, S. Nishizawa, H. Yashiro, Y. Miyamoto, Y. Kajikawa, R. Yoshida, T. Yamaura, and H. Tomita, Effects of cloud broadening and cloud distance on the shallow cloud cover, Japan Geoscience Union Annual Meeting 2015, AAS22-08, Chiga, May, 2015 (Oral)

  19. Y. Sato, H. Yashiro, D. Goto, K. Suzuki, and T. M. Nagao, Regional variability of the effects of autoconversion on the precipitation by warm topped cloud, Japan Meteorological Society Spring meeting 2016, D112, Kyoto, Oct. 2015 (Oral)

  20. Y. Sato, A. Higuchi, A. Takami, A. Murakami, Y. Masutomi, K. Tsuchiya, D. Goto, and T. Nakajima, Regional variability of the impacts of afforestation on summer high temperature over Kanto region, Japan Meteorological Society Spring meeting 2016, P136, Tokyo, May. 2016 (Poster)

  21. Y. Sato, T. Ishizaka, S. Nishizawa, H. Yashiro, S. A. Adachi, R. Yoshida, T. Yamaura, and H. Tomita, Numerical simulation on cloud aerosol interaction through downscaling simulation with spectral bin microphysical model 1 ~ Comparison between the model and satellite and aircraft observation, Japan Meteorological Society Fall meeting 2016, P223, Tokyo, May, 2016 (Poster)

  22. *Y. Sato, H. Miura, H. Yashiro, D. Goto, T. Takemura, H. Tomita, and T. Nakajima, Transport of black carbon aerosol to Arctic area simulated by global cloud system resolving model, Japan Meteorological Society Fall Meeting 2016, B363, Nagoya, Oct. 2016 (Oral)

Research fund

Grant

  1. Grant-in-Aid for JSPS Fellows Investigation of cloud-aerosol interaction using spectral bin microphysical model (PI: 2011 Apr. - 2012 Mar.)
  2. Grants-in-Aid for Scientific Research (B) Development of pioneering cloud microphysical model through the sophistication of Super Droplet method(SDM) for Exa-scale computing (Sub-PI: 2014 Apr. - 2017 Mar.)
  3. Joint Stage research with Hydrospheric Atmospheric Research Center (HyARC), Nagoya University, Suggestion to next-generation satellite observation from the LES simulation with ultra-fine spatial resolution (PI: 2014 Apr. - 2015 Mar.)
  4. Grant-in-Aid for Young Scientists(B) Investigation of regional variability of shallow clouds by using next-generation weather modeling (PI: 2015 Apr. - 2017 Mar.)
  5. Joint Stage research with Hydrospheric Atmospheric Research Center (HyARC), Nagoya University Suggestion of useful usage of next-generation satellite from the combination of high resolution LES, satellite simulator and remote sensing (PI: 2015 Apr. - 2016 Mar.)

Computational Resources

  1. Initiative on Promotion of Supercomputing for Young Researchers, Supercomputing Division, Information Technology Center, The University of Tokyo Research of cloud-aerosol interaction using spectral bin microphysical model (PI: 2011 Sep. - 2012 Sep.)
  2. Research Project using HPCI computational Resources in 2014 (FY2014: General Use) Integrated environmental modeling of air pollutions in a global scale (Participant: 2014 Apr. - 2015 Mar.)
  3. Research Project using HPCI computational Resources in 2014 (FY2014: General Use) Sophisticated simulation of clouds using Super Droplet Method (SDM) and application for satellite remote sensing (Sub-PI: 2015 Jan. - 2015 Mar.)
  4. Research Project using HPCI computational Resources in 2015 (FY2015: General Use) Development of a next-generation model for atmospheric air pollutants and estimation for their emission inventories (Participant: 2015Apr. - 2016 Mar.)
  5. Research Project using HPCI computational Resources in 2015 (FY2015: General Use) Ice microphysical modeling towards lightening prediction by using the Super Droplet Method (Sub-PI: 2015Apr. - 2016 Mar.)
  6. Research Project using HPCI computational Resources in 2016 (FY2016: General Use) Evaluation of climate and environmental impacts due to atmospheric pollutions using a next-generation material transport model (Participant: 2016 Apr. - 2017 Mar.)
  7. Research Project using HPCI computational Resources in 2016 (FY2016: Junior Researcher Promotion Project) Simulation targeting on cloud aerosol interaction using global scale spectral bin microphysical model (Sub-PI: 2016 Apr. - 2017 Mar.)
  8. Research Project using HPCI computational Resources in 2016 (FY2016: General Use) Massively parallel computation to assess the necessary spatial resolution to simulate convective clouds(Sub-PI: 2016 Oct. - 2017 Mar.)

Made 2007/07/18

Last modified 2018/8/20