2013年業績一覧

査読付原著論文

  1. Miyoshi, T. and K. Kondo, 2013: A multi-scale localization approach to an ensemble Kalman filter. SOLA, 9, 170-173. doi:10.2151/sola.2013-038
  2. Penny, S. G., E. Kalnay, J. A. Carton, B. R. Hunt, K. Ide, T. Miyoshi, and G. A. Chepurin, 2013: The local ensemble transform Kalman filter and the running-in-place algorithm applied to a global ocean general circulation model. Nonlin. Processes Geophys., 20, 1031-1046. doi:10.5194/npg-20-1031-2013
  3. Kondo, K., T. Miyoshi and H. L. Tanaka, 2013: Parameter sensitivities of the dual-localization approach in the local ensemble transform Kalman filter. SOLA, 9, 174-177. doi:10.2151/sola.2013-039
  4. Yang, S.-C., K.-J. Lin, T. Miyoshi, and E. Kalnay, 2013: Improving the spin-up of regional EnKF for typhoon assimilation and forecasting with Typhoon Sinlaku (2008). Tellus A, 65, 20804. doi:10.3402/tellusa.v65i0.20804
  5. Ruiz, J. J., M. Pulido, and T. Miyoshi, 2013: Estimating model parameters with ensemble-based data assimilation: Parameter covariance treatment. J. Meteorol. Soc. Japan, 91, 453-469. doi:10.2151/jmsj.2013-403
  6. Ota, Y., J. C. Derber, E. Kalnay, and T. Miyoshi, 2013: Ensemble-based observation impact estimates using the NCEP GFS. Tellus A, 65, 20038. doi:10.3402/tellusa.v65i0.20038
  7. Arabas, S. and S. Shima, 2013: Large Eddy Simulations of Trade-Wind Cumuli using Particle-Based Microphysics with Monte-Carlo Coalescence. J. Atmos. Sci., 70, 2768-2777. doi: 10.1175/JAS-D-12-0295.1
  8. Lien, G.-Y., E. Kalnay, and T. Miyoshi, 2013: Effective Assimilation of Global Precipitation: Simulation Experiments. Tellus A, 65, 19915. doi:10.3402/tellusa.v65i0.19915
  9. 牛山朋來・佐山敬洋・藤岡奨・建部祐哉・深見和彦・三好建正, 2013: アンサンブルカルマンフィルターを用いた2011年台風12号・15号の降雨流出予測実験. 河川技術論文集, 18, 319-324.
  10. Norwood, A., E. Kalnay, K. Ide, S.-C.Yang, and C. Wolfe, 2013: Lyapunov, singular and bred vectors in a multi-scale system: an empirical exploration of vectors related to instabilities. Journal of Physics A, 46, 254021. doi:10.1088/1751-8113/46/25/254021
  11. Enomoto, T., T. Miyoshi, Q. Moteki, J. Inoue, M. Hattori, A. Kuwano-Yoshida, N. Komori, and S. Yamane, 2013: Observing-system research and ensemble data assimilation at JAMSTEC. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II), ed. by S. K. Park and L. Xu, chap. 21, 509-526, Springer. doi:10.1007/978-3-642-35088-7_21
  12. Ruiz, J. J., M. Pulido, and T. Miyoshi, 2013: Estimating model parameters with ensemble-based data assimilation: A review. J. Meteorol. Soc. Japan, 91, 79-99. doi:10.2151/jmsj.2013-201
  13. 芳村圭・三好建正・金光正郎, 2013: アンサンブルカルマンフィルタを用いた水同位体比データ同化に向けた理想化実験. 土木学会論文集B1(水工学), 69, 1795-1800.
  14. 小林健一郎・大塚成徳・寶馨・折口征二・斉藤和雄, 2013: 中小河川流域における豪雨・洪水のアンサンブル予測. 土木学会水工学論文集, 57, 1597-1602.
  15. Otsuka, S., Nishizawa, S., Horinouchi, T., and Yoden, S., 2013: An experimental data handling system for ensemble numerical weather predictions using a web-based data server and analysis tool "Gfdnavi". J. Disaster Res., 8, 48-56. doi: 10.20965/jdr.2013.p0048
  16. Miyoshi, T., E. Kalnay, and H. Li, 2013: Estimating and including observation-error correlations in data assimilation. Inverse Problems in Science and Engineering, 21, 387-398. doi:10.1080/17415977.2012.712527

その他の論文

  1. 三好建正・大塚成徳・小守信正・露木義・榎本剛, 2013: 「AICS国際データ同化ワークショップ」開催報告. 天気, 60, 731-735. Available online (PDF)
  2. 岩崎俊樹・伊藤耕介・三浦裕亮・大塚成徳・馬場雄也・橋本明弘・斉藤和雄・原旅人・野田暁・沢田雅洋, 2013: 第2回非静力学数値モデルに関する国際ワークショップの報告. 天気, 60, 209-215. Available online (PDF)

招待講演

  1. Takemasa Miyoshi: Toward severe-weather forecasting through "Big Data Assimilation". Second International Symposium on Watercourse Sensing and Operational Monitoring, Kyoto, Japan, 27th Novemver 2013.
  2. Takemasa Miyoshi: IMA Hot Topics Workshop: Exploring Multi-scale and Model-error Treatments in Ensemble Data Assimilation. Predictability in Earth System Processes, IMA, University of Minnesota, Minneapolis, MN, USA, 18th Nov 2013.
  3. Yang, S.-C.: Improving severe weather prediction in Taiwan using an advanced regional data assimilation system. National Cheng-Jung University, Taiwan, 1st, Nov 2013.
  4. Takemasa Miyoshi: Advances and challenges in ensemble data assimilation. RIMS International Conference on Theoretical Aspects of Variability and Predictability of Weather and Climate Systems, Kyoto, Japan, 25th Oct 2013.
  5. Takemasa Miyoshi, S. Otsuka, K. Kondo: Exploring Multi-scale and Model-error Treatments in Ensemble Data Assimilation. Sixth WMO Symposium on Data Assimilation, College Park, MD, USA, 8th Oct 2013.
  6. Yang, S.-C., S.-Y. Chen, S.-H. Chen, C.-Y. Huang and C.-S. Chen: Evaluating the impact of the COSMIC-RO bending angle data on predicting the heavy precipitation episode on 16 June 2008 during SoWMEX-IOP8. Seminar at Korea Institute of Atmospheric Prediction Systems, Korean, 19th Aug 2013.
  7. Takemasa Miyoshi: Special Lecture Numerical Weather Prediction: "Numerical Weather Prediction Chaos, Predictability, and Data Assimilation", Lecture: "Localization and Inflation techniques in ensemble data assimilation". Summer School/Creative Workshop on Data Assimilation & Inverse Problems, Reading, UK, 25th July 2013.
  8. Takemasa Miyoshi, Juan J. Ruiz, Shigenori Otsuka, Keiichi Kondo: Exploring multi-scale and model-error treatments in ensemble data assimilation. Davos Atmosphere and Cryosphere Assembly DACA-13, Davos, Switzerland, 9th July 2013.
  9. Takemasa Miyoshi: Data Assimilation Research on Typhoons. Biannual Meeting of the Meteorological Society of Japan, Tokyo, Japan, May 2013.
  10. Takemasa Miyoshi: Computational Challenges in Big Data Assimilation with Extreme-scale Simulations. Big Data and Extreme-Scale Computing (BDEC) Workshop, Charleston, SC, USA, 1st May 2013.
  11. Shima, S.: Super-Droplet Approach to Simulate Precipitating Trade-Wind Cumuli - Comparison of Model Results with RICO Aircraft Observations. International Workshop on Numerical Simulations of Particle/Droplet/Bubble-laden Multiphase Flows, JAMSTEC Tokyo office, Japan, 24th May 2013.
  12. Otsuka, S.: Takeshita, M., Yoden, S.: Numerical experiments on formation of tropopause inversion layer associated with extratropical cyclone. WCRP regional workshop on stratosphere-troposphere processes and their role in climate, Kyoto, 2nd Apr 2013.
  13. Takemasa Miyoshi: Challenges of Ensemble-based Data Assimilation for Large-Scale Simulations. The 3rd AICS International Symposium, RIKEN/AICS, Kobe, Japan, 1st Mar 2013.
  14. Yang, S.-C.: K.-J. Lin, T. Miyoshi and E. Kalnay: Improving the spin-up of the regional EnKF for typhoon assimilation and forecast. AICS International Workshop on Data Assimilation, RIKEN, Japan, Feb, 2013
  15. Takemasa Miyoshi: Advances and Challenges in Ensemble-based Data Assimilation in Meteorology. Third Data Assimilation Workshop, Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan, 18th Jan 2013.

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