Seiya Nishizawa

photo

Computational Climate Science Research Team
RIKEN Center for Computational Science (formerly Advanced Institute for Computational Science)
Senior Scientist

7-1-26 Minatojima-minami-machi Chuo-ku, Kobe, Hyogo 650-0047, Japan
Tel: +81-78-940-5754 / Fax: +81-78-304-4976

ORCID: 0000-0001-9457-7457 / ResearcherID: N-9689-2015 / researchmap / KAKEN DB

Education

  • 2000: B.S., Dept. Geophysics/Kyoto Univ.
  • 2002: M.S., Dept. Geophysics/Kyoto Univ.
  • 2005: Ph.D, Dept. Geophysics/Kyoto Univ.

Research Experience

  • 2004-2006: Research Fellowship for Young Scientists, JSPS
  • 2006-2007: Postdoctoral Fellow, RIMS/Kyoto Univ.
  • 2007-2008: Postdoctoral Fellow, Dept. Geophysics/Kyoto Univ.
  • 2008-2009: Postdoctoral Fellow, CPS/Kobe Univ.
  • 2009-2012: Assistant Professor, CPS/Kobe Univ.
  • 2012-2022: Research Scientist, RIKEN Center for Computational Science (formerly Advanced Institute for Computational Science)
  • 2023-present: Senior Scientist, RIKEN Center for Computational Science
  • 2012-present: Collaborating Scientist, CPS/Kobe Univ.
  • 2015-2020: Guest Researcher, MRI/JMA
  • 2015-present: Part-time Lecturer, Grad. School of System Informatics/Kobe Univ.
  • 2019-2023: Invited Associate Professor, Grad. School of System Informatics/Kobe Univ.
  • 2024-present: Invited Professor, Grad. School of System Informatics/Kobe Univ.

Committee / Editorship

Funds received

Awards

  • HPC Asia 2022 Best Paper Award
  • The Japan society for aeronautical and space sciences Best Paper Award of 2018
  • FY2013 Excellent achievement research projects of HPCI system

Publications

Clikc to expand
  1. Nishizawa, S., 2024: Extracting latent variables from forecast ensembles and advancements in similarity metric utilizing optimal transport . J. Geophys. Res.: Mach. Learn. Comput., 1, e2023JH000112, doi:10.1029/2023JH000112
  2. Miyoshi, T., A. Amemiya, S. Otsuka, Y. Maejima, J. Taylor, T. Honda, H. Tomita, S. Nishizawa, K. Sueki, T. Yamaura, Y. Ishikawa, S. Satoh, T. Ushio, K. Koike, and A. Uno, 2023: Big data assimilation: Real-time 30-second-refresh heavy rain forecast using fugaku during Tokyo Olympics and Paralympics. SC'23: Proc. Int. Conf. High Perfom. Comput. Networking, Storage and Analysis, 1-10, doi:10.1145/3581784.3627047
  3. Matsushima, T., S. Nishizawa, and S. Shima, 2023: Overcoming computational challenges to realize meter- to submeter-scale resolution in cloud simulations using the super-droplet method. Geosci. Model Dev., 16, 6211-6245, doi:10.5194/gmd-16-6211-2023
  4. Yanase, T., S. Nishizawa, H. Miura, T. Takemi, and H. Tomita, 2022: Low-level circulation and its coupling with free-tropospheric variability as a mechanism of spontaneous aggregation of moist convection. J. Atmos. Sci., 79, 3429-3451, doi:10.1175/JAS-D-21-0313.1
  5. Sueki, K., S. Nishizawa, T. Yamaura, and H. Tomita, 2022: Precision and convergence speed of the ensemble Kalman filter-based parameter estimation: Setting parameter uncertainty for reliable and efficient estimation. Prog. in Earth and Planetary Sci., 9, 47, doi:10.1186/s40645-022-00504-4
  6. Yanase, T., S. Nishizawa, H. Miura, and H. Tomita, 2022: Characteristic form and distance in high-level hierarchical structure of self-aggregated clouds in radiative-convective equilibrium. Geophys. Res. Lett., 49, e2022GL100000, doi:10.1029/2022GL100000
  7. Honda, T., A. Amemiya, S. Otsuka, G.-Y. Lien, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, S. Satoh, Y. Ishikawa, and T. Miyoshi, 2022: Development of the real-time 30-s-update big data assimilation system for convective rainfall prediction with a phased array weather radar: description and preliminary evaluation. J. Adv. Model. Earth Syst., 14, e2021MS002823, doi:10.1029/2021MS002823
  8. Honda, T., A. Amemiya, S. Otsuka, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, and T. Miyoshi, 2022: Advantage of 30-s-updating numerical weather prediction with a phased-array weather radar over operational nowcast for a convective precipitation system. Geophys. Res. Lett., 49, e2021GL096927, doi:10.1029/2021GL096927
  9. Ichimura, T., K. Fujita, K. Koyama, R. Kusakabe, Y. Kikuchi, T. Hori, M. Hori, L. Maddegedara, N. Ohi, T. Nishiki, H. Inoue, K. Minami, S. Nishizawa, M. Tsuji, N. Ueda, 2022: 152K-computer-node parallel scalable implicit solver for dynamic nonlinear earthquake simulation. Int. Conf. High Performance Comput. Asia-Pacific Region 2022, 18-29, doi:10.1145/3492805.3492814
  10. Nishizawa, S., T. Yamaura, and Y. Kajikawa, 2021: Influence of sub-mesoscale topography on daytime precipitation associated with thermally driven local circulations over a mountainous region. J. Atmos. Sci., 78, 2511-2532, doi:10.1175/JAS-D-20-0332.1
  11. Fujita, K., K. Koyama, K. Minami, H. Inoue, S. Nishizawa, M. Tsuji, T. Nishiki, T. Ichimura, M. Hori, and L. Maddegedara, 2021: High-fidelity nonlinear low-order unstructured implicit finite-element seismic simulation of important structures by accelerated element-by-element method. J. Comput. Sci., 49, 101277, doi:10.1016/j.jocs.2020.101277
  12. Miyamoto, Y., S. Yousuke, S. Nishizawa, H. Yashiro, T. Seiki, and A. T. Noda, 2020: An energy balance model for low-level clouds based on a simulation resolving mesoscale motions. J. Met. Soc. Japan, 98, 987-1004, doi:10.2151/jmsj.2020-051
  13. Yanase, T., S. Nishizawa, H. Miura, T. Takemi, and H. Tomita 2020: New critical lenght for the onset of self-aggregation of moist convection. Geophys. Res. Lett., 47, e2020GL088763, doi:10.1029/2020GL088763
  14. Miyamoto, Y., S. Nishizawa, and H. Tomita, 2020: Impacts of number of cloud condensation nuclei on two-dimensional moist Rayleigh convection. J. Met. Soc. Japan, 98, 437-453, doi:10.2151/jmsj.2020-023
  15. Sueki, K., T. Yamaura, H. Yashiro, S. Nishizawa, R. Yoshida, Y. Kajikawa, and H. Tomita, 2019: Convergence of convective updraft ensembles with respect to the grid spacing of atmospheric models. Geophys. Res. Lett., 46, 14817-14825, doi:10.1029/2019GL084491
  16. Yamaura, T., S. Nishizawa, and. H. Tomita, 2019: Theoretical time evolution of numerical errors when using floating point numbers in shallow-water models. J. Adv. Model. Earth Syst., 11, 3235-3250, doi:10.1029/2019MS001615
  17. Kitamura, Y. and S. Nishizawa, 2019: Estimation of energy dissipation caused by odd order difference schemes for an unstable planetary boundary layer. Atmos. Sci. Lett., 20, e905, doi:10.1002/asl.905
  18. Adachi, S. A., S. Nishizawa, K. Ando, T. Yamaura, R. Yoshida, H. Yashiro, Y. Kajikawa, and H. Tomita, 2019: An evaluation method for uncertainties in regional climate projections. Atmos. Sci. Lett., 20, e877, doi:10.1002/asl.877
  19. Yoshida, R., S. Nishizawa, H. Yashiro, S. A. Adachi, T. Yamaura, H. Tomita, and Y. Kajikawa, 2019: Maintenance condition of back-building squall-line in a numerical simulation of a heavy rainfall event in July 2010 in Western Japan. Atmos. Sci. Lett., 20, e880, doi:10.1002/asl.880
  20. Nishizawa, S. and Y. Kitamura, 2018: A surface flux scheme based on the Monin-Obukhov similarity for finite volume models. J. Adv. Model. Earth Syst., 10, 3159-3175, doi:10.1029/2018MS001534
  21. Nishizawa, S., S. A. Adachi, Y. Kajikawa, T. Yamaura, K. Ando, R. Yoshida, H. Yashiro, and H. Tomita, 2018: Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study. Prog. in Earth and Planetary Sci., 5, 2, doi:10.1186/s40645-017-0159-0
  22. Honda, T., T. Miyoshi, G.-Y. Lien, S. Nishizawa, R. Yoshida, S. A. Adachi, K. Terasaki, K. Okamoto, H. Tomita, and K. Bessho, 2018: Assimilating all-sky Himawari-8 satellite infrared radiances: A case of Typhoon Soudelor (2015). Mon. Wea. Rev., 146, 213-229, doi:10.1175/MWR-D-16-0357.1
  23. Adachi, S. A., S. Nishizawa, R. Yoshida, T. Yamaura, K. Ando, H. Yashiro, Y. Kajikawa, and H. Tomita, 2017: Contributions of changes in climatology and perturbation and the resulting nonlinearity to regional climate change. Nat. Commun., 8, 2224, doi:10.1038/s41467-017-02360-z
  24. Liao, J., B. Gerofi, G. Yuan Lien, T. Miyoshi, S. Nishizawa, H. Tomita, W. Keng Liao, A. Choudhary, and Y. Ishikawa, 2017: A flexible I/O arbitration framework for netCDF-based big data processing workflows on high-end supercomputers. Concurrency-Pract. Exp., 29, e4204, doi:10.1002/cpe.4161
  25. Tokutake, H., H. Hiraguri, and S. Nishizawa, 2017: Exploration of wind structure on Mars using an airplane and flight feasibility study. Trans. Japan Soc. Aero. Space Sci, 60, 212-220, doi:10.2322/tjsass.60.212
  26. Yoshida, R., 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, 21-33, doi:10.1016/j.parco.2017.04.004
  27. Lien, G.-Y., T. Miyoshi, S. Nishizawa, R. Yoshida, H. Yashiro, S. A. Adachi, T. Yamaura, and H. Tomita, 2017: The near-real-time SCALE-LETKF system: A case of the September 2015 Kanto-Tohoku heavy rainfall. SOLA, 13, 1-6, doi:10.2151/sola.2017-001
  28. Muranushi. T, H. Hotta, J. Makino, S. Nishizawa, H. Tomita, K. Nitadori, M. Iwasawa, N. Hosono, Y. Murayama, H. Inoue, H. Yashiro, Y. Nakamura, 2016: Simulations of below-ground dynamics of fungi: 1.184 pflops attained by automated generation and autotuning of temporal blocking codes. SC'16: Proc. Inter. Conf. High Perform Comput. Newtworking, Storage, Anal., 23-33, 10.1109/SC.2016.2
  29. Nishizawa, S., M. Odaka, 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, 4180–4188, doi:10.1002/2016GL068896
  30. Spiga, A., E. Barth, Z. Gu, F. Hoffmann, J. Ito, B. Jemmett-Smith, M. Klose, S. Nishizawa, S. Raasch, S. Rafkin, T. Takemi, D. Tyler, and Wei Wei, 2016: Large-eddy simulations of dust devils and convective vortices. Space Sci. Rev., 203, 245-275, doi:10.1007/s11214-016-0284-x
  31. Miyoshi, T., G.-Y. L., S. Satoh, T. Ushio, K. Bessho, H. Tomita, S. Nishizawa, R. Yoshida, S. A. Adachi, J. Liao, B. Gerofi, Y. Ishikawa, M. Kunii, J. Ruiz, Y. Maejima, S. Otsuka, M. Otsuka, K. Okamoto, and H. Seko, 2016: "Big data assimilation" toward post-petascale severe weather prediction: an overview and progress. Proc. IEEE, 104, 2155-2179, doi:10.1109/JPROC.2016.2602560
  32. Yamashita, T., M. Odaka, K. Sugiyama, K. Nakajima, M. Ishiwatari, S. Nishizawa, Y. Takahashi, and Y. Hayashi, 2016: A numerical study on convection of a condensing CO2 atmosphere under early Mars like conditions. J. Atmos. Sci., 73, 4151-4169, doi:10.1175/JAS-D-15-0132.1
  33. Nishizawa, S., 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
  34. Sato, Y., 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. in Earth and Planetary Sci., 2, 23, doi:10.1186/s40645-015-0053-6
  35. Sato, Y., 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
  36. Miyamoto, Y., J. Ito, S. Nishizawa, and H. Tomita, 2015: A linear thermal stability analysis of discretized fluid equations. Theor. Comput. Fluid Dyn., 29, 155-169, doi:10.1007/s00162-051-0345-x
  37. Sato Y., 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
  38. Ishiwatari, M., E. Toyoda, Y. Morikawa, S. Takehiro, Y. Sasaki, S. Nishizawa, M. Odaka, N. Otobe, Y. O. Takahashi, K. Nakajima, T. Horinouchi, M. Shiotani, Y.-Y. Hayashi, and Gtool development group, 2012: “Gtool5”: a Fortran90 library of input/output interfaces for self-descriptive multi-dimensional numerical data. Geosci. Model Dev., 5, 449-455, doi:10.5194/gmd-5-449-2012
  39. Sugiyama, K., N. Nakajima, M. Odaka, M. Ishiwatari, K. Kuramoto, Y. Morikawa, S. Nishizawa, Y. O. Takahashi, and Y.-Y. Hayashi, 2011: Intermittent cumulonimbus activity breaking the three-layer cloud structure of Jupiter. Geophys. Res. Lett., 38, L13201, doi:10.1029/2011GL047878
  40. Horinouchi T., S. Nishizawa, C. Watanabe, A. Tomobayashi, S. Otsuka, T. Koshiro, Y.-Y. Hayashi, and GFD Dennou Club, 2010: Gfdnavi, web-based data and knowledge server software for geophysical fluid sciences, Part I: Rationales, stand-alone features, and supporting knowledge documentation linked to data. In Yoshikawa, M., et al. (eds.) DASFAA 2010, LNCS, 6193, 93-104, doi:10.1007/978-3-642-14589-6_10
  41. Nishizawa S., T. Horinouchi, C. Watanabe, Y. Isamoto, A. Tomobayashi, S. Otsuka, and GFD Dennou Club, 2010: Gfdnavi, web-based data and knowledge server software for geophysical fluid sciences, Part II: RESTful web services and object-oriented programming interface. In Yoshikawa, M., et al. (eds.) DASFAA 2010, LNCS, 6193, 105-116, doi:10.1007/978-3-642-14589-6_11
  42. Kohma M., S. Nishizawa and S. Yoden, 2010: Classification of polar-night jet oscillations and their relationship to fast and slow variations in a global mechanistic circulation model of the stratosphere and troposphere. J. Climate, 23, 6438-6444, doi:10.1175/2010JCLI3458.1
  43. Hayashi Y.-Y., S. Nishizawa, S. Takehiro, M. Yamada, K. Ishioka, and S. Yoden, 2007: Rossby waves and jets in a two-dimensional decaying turbulence on a rotating sphere. J. Atmos. Sci., 64, 4246-4269, doi:10.1175/2007JAS2209.1
  44. Nishizawa S. and S. Yoden, 2005: Distribution functions of a spurious trend in a finite length data set with natural variability: Statistical considerations and a numerical experiment with a global circulation model. J. Geophys. Res., 110, D12105, doi:10.1029/2004JD005714
  45. Nishizawa S. and S. Yoden, 2004: A Parameter sweep experiment on topographic effects on the annular variability. J. Met. Soc. Japan, 82, 879-893, doi:10.2151/jmsj.2004.879

Presentations

Clikc to expand
  1. Nishizawa, S.: Extracting latent variables from forecast ensembles and advancements in similarity metric utilizing optimal transport, 15th International Meeting on Statistical Climatology, Toulouse, France, 24-28 Jun, 2024
  2. Nishizawa, S.: Extracting latent variables from forecast ensembles and advancements in similarity metric utilizing optimal transport, OIST-RIKEN Joint Workshop on Prediction Science, Okinawa, Japan, 20-22 Dec, 2023
  3. Nishizawa, S.: Introduction of Research using HPC at RIKEN, CWA-FJ Utilization of the cutting edge technologies in Meteorology Seminar, Taipei, Taiwan + online, 29 Nov, 2023 (Invited)
  4. Nishizawa, S.: Our model development activities and prospects in cloud resolving simulations, International Workshop Convection-Permitting Modeling for Climate Research Current and Future Challenges, online, 2-4 Sep, 2020 (Invited)
  5. Nishizawa, S., S. A. Adachi, and H. Tomita: Effect of sub-meso scale topography on precipitation, Workshop on particle-based modeling of cloud microphysics 2018, Kobe, Japan, 19-20 Nov, 2018
  6. Nishizawa, S. and Y. Kitamura: Improvement of the surface flux scheme in finite volume models, AOGS 15th Annual Meeting, Hawaii, USA, 3-8 Jun, 2018
  7. Nishizawa, S., S. A. Adachi, Y. Kajikawa, T. Yamaura, K. Ando, R. Yoshida, H. Yashiro, and H. Tomita: Decomposition of the large-scale atmospheric state driving downscaling, The 4th International Workshop on Nonhydrostatic Models, Hakone, Japan, 30 Nov - 1 Dec, 2016
  8. Nishizawa, S., M. Odaka, Y. O. Takahashi, K. Sugiyama, K. Nakajima, M. Ishiwatari, S. Takehiro, H. Yashiro, H. Tomita, and Y.-Y. Hayashi: High resolution large eddy simulation on Martian planetary boundary layer, Japan Geoscience Union Meeting 2016: International Session, Chiba, Japan, 22-26 May, 2016 (Invited)
  9. Nishizawa, S., H. Yashiro, Y. Sato, Y. Miyamoto, R. Yoshida, T. Yamaura, S. A. Adachi, Y. Kajikawa, and H. Tomita: High-resolution modeling and big data analysis at RIKEN AICS, 4th ENES Workshop on High Performance Computing for Climate and Weather, Toulouse, France, 6-7 Apr, 2016 (Invited)
  10. Nishizawa, S.: Research and development of a meteorological simulation model for future meteorological simulations. International Workshop: Issues in downscaling of climate change projection, Tsukuba, Japan, 5-7 Oct, 2015
  11. Nishizawa, S., H. Yashiro, Y. Sato, T. Yamaura, S. A. Adachi, R. Yoshida, H. Tomita and Team SCALE: High resolution LES experiment on Martian PBL, Japanese-French model studies of planetary atmospheres, Kobe, Japan, 11-15 May, 2015
  12. Nishizawa, S., H. Yashiro, Y. Sato, T. Yamaura, S. A. Adachi, R. Yoshida, H. Tomita and Team SCALE: Our model development activity in RIKEN AICS -introduction of SCALE and SCALE-LES-, Japanese-French model studies of planetary atmospheres, Kobe, Japan, 11-15 May, 2015
  13. Nishizawa S., H. Yashiro, Y. Sato, T. Yamaura, S. A. Adachi, R. Yoshida, H. Tomita, and Team SCALE: Our activity for next generation meteorological simulations in future HPC systems, Joint Workshop of 6th International Workshop on Global Cloud Resolving Modeling and 3rd International Workshop on Nonhydrostatic Numerical Models, Kobe, Japan, 24-26 Sep, 2014
  14. Nishizawa S., H. Yashiro, M. Odaka, Y. Takahashi, Y. Hayashi, H. Tomita, S. Takehiro, M. Ishiwatari, K. Nakajima, Y. Sato, K. Sugiyama: High-resolution large-eddy simulation of the Martian planetary boundary layer, AOGS 11th Annual Meeting, Sapporo, Japan, 28 Jul - 1 Aug, 2014
  15. Nishizawa, S., H. Yashiro, Y. Sato, Y. Miyamoto and H. Tomita: Research and development of common basic library and environment for weather and climate prediction models, 15th International Specialist Meeting on the next-generation of climate models and knowledge discoveries through the extreme high-performance simulations and big data, Berkeley CA, USA, 20-22 Mar, 2013
  16. Nishizawa S., T. Horinouchi: Gfdnavi: its design and implementation with Ajax and Ruby-On-Rails. GO-ESSP 2008, Seattle, USA, 17-19 Sep, 2008
  17. Nishizawa S.: Experimental development of a unified data base and decision support system for prevention and mitigation of meteorological disasters. The 1st international workshop on prevention and mitigation of meteorological disasters in Southeast Asia, Kyoto, Japan, 3-5 Mar, 2008
  18. Nishizawa S.: Detection of trends in occurrence of rare events: Theory and application to extremely high temperature in the stratosphere. IUGG 2007, Perugia, Italy, 2-13 Jul, 2007
  19. Nishizawa S., S. Yoden, and T. Nozawa: Distribution function of a spurious trend and detectability of the true trend. ESF-JSPS Frontire Science Conference for Young Researchers 2006 Climate Change-, Nynashamn, Sweden, 24-29 Jun, 2006
  20. Nishizawa S. and S. Yoden: Distribution functions of a spurious trend in finite length dataset with natural variability: statistical considerations and a numerical experiment with a global circulation model. AMS 13th Conference on Middle Atmosphere, Cambridge, USA, 13-17 Jun, 2005
  21. Nishizawa S. and S. Yoden: Temperature trends estimated with finite-length datasets and evaluation of their significance with some idealized models. 3rd SPARC General Assembly, Victoria, Canada, 1-6 Aug, 2004
  22. Nishizawa S., S. Yoden, and A. Kitoh: Topographic effects on annular variability in a coupled atmosphere-ocean GCM. IUGG 2003, Sapporo, Japan, 30 Jun-11 Jul, 2003
  23. Nishizawa S. and S. Yoden: A numerical experiment on the effect of topography on annular variability. International Symposium on Stratospheric Variations and Climate, Fukuoka, Japan, 12－15 Nov, 2002