西澤 誠也 (にしざわ せいや)

学歴

• 1996-2000: 京都大学理学部
• 2000-2002: 京都大学大学院理学研究科修士課程
• 2002-2005: 京都大学大学院理学研究科博士課程

研究歴

• 2004-2005: 日本学術振興会 特別研究員(DC)
• 2005-2006: 日本学術振興会 特別研究員(PD)
• 2006-2007: 京都大学 数理解析研究所 研究員(COE)
• 2007-2008: 京都大学 大学院理学研究科 研究員(科学技術振興)
• 2008-2009: 神戸大学 大学院理学研究科 グローバルCOE研究員
• 2009-2012: 神戸大学 大学院理学研究科 助教
• 2012-2022: 理化学研究所 計算科学研究センター (旧 計算科学研究機構) 研究員
• 2023-現在: 理化学研究所 計算科学研究センター 上級研究員
• 2012-現在: 神戸大学 惑星科学研究センター 協力研究員
• 2015-2020: 気象庁気象研究所 環境・応用気象研究部 客員研究員
• 2015-現在: 神戸大学 大学院システム情報学研究科 非常勤講師
• 2019-2023: 神戸大学 大学院システム情報学研究科 客員准教授
• 2024-現在: 神戸大学 大学院システム情報学研究科 客員教授

委員等

• 2016-2018: 文部科学省研究振興局 学術調査官(科研費)
• 2016-2022: Scientific Online Letters on the Atmosphere (SOLA) 編集委員
• 2022-現在: Scientific Online Letters on the Atmosphere (SOLA) 運営委員

獲得外部資金等

• 科学技術振興機構 ムーンショット型研究開発事業 ムーンショット目標8 要素研究, 局地的気象の蓋然性の推定を可能にする気象モデルの開発, FY2022-FY2024, 研究代表 (PM)
• 科学研究費補助金 基盤(B) (一般), 大気乱流および積雲対流のスケール間相互作用, FY2019-FY2022, 研究代表, 13,200 千円
• 科学研究費補助金 新学術領域研究(研究領域提案型) (公募), 地表面フラックス見積りスキームの改良とそれによる南極域氷床の表面質量収支評価改善, FY2018-2019, 研究代表, 2,000 千円
• RIKEN Incentive Research Projects, Numerical research for the weakening effect of small-scale terrain on heavy rainfall, FY2017-2018, 研究代表, 2,060 千円
• 科学研究費補助金 若手研究(B), 状態空間における存在確率分布の直接時間積分, FY2011-2014, 研究代表, 3,300 千円
• 科学研究費補助金 若手研究(B), 非線形次元削減法を用いた非線形システムにおける確率分布およびレジームの検出, FY2009-2010, 研究代表, 3,200 千円
• 科学研究費補助金 特別研究員奨励費, 大気変動における外部強制の役割, FY2004-2005, 研究代表, 1,900 千円

受賞

• HPC Asia 2022 Best Paper Award
• 第28回（2018年度）日本航空宇宙学会　論文賞
• 平成25年度HPCI利用研究課題優秀成果賞

査読付き論文リスト

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1. Yanase, T., S. Shima, S. Nishizawa, and H. Tomita, 2025: Nonlocal coupled moisture model for convective self-aggregation. J. Atmos. Sci., 82, 1677-1692, doi:10.1175/JAS-D-24-0159.1
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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

国際会議等発表リスト

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1. Nishizawa, S.: OpenACC-based GPU acceleration for the SCALE atmospheric model: Status and challenges, OpenACC Users Workshop at SCA2026, Osaka, Japan, 26 Jan, 2026 (Invited)
2. Nishizawa, S., K. Ito, G. Kawahara, S. Hirano, and Y. Saiki: Application of nonlinear optimal perturbations to atmospheric variability, International Workshop on Hydrometeorological Predictions, Kobe, Japan, 25 Nov, 2025
3. 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
4. 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
5. 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)
6. 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)
7. 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
8. 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
9. 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
10. 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)
11. 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)
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. Nishizawa S., T. Horinouchi: Gfdnavi: its design and implementation with Ajax and Ruby-On-Rails. GO-ESSP 2008, Seattle, USA, 17-19 Sep, 2008
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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