JAMSTEC > JAMSTEC研究者総覧 > 三好 建正

JAMSTEC研究者総覧

  • 三好 建正
  • ミヨシ タケマサ
所属
付加価値情報創生部門 アプリケーションラボ 気候変動予測情報創生グループ
キャリア
招聘上席研究員

プロフィール

専門

研究業績

査読有り(JAMSTECでの成果)

  • Nobumasa Komori, Takeshi Enomoto, Takemasa Miyoshi, Akira Yamazaki, Akira Kuwano-Yoshida and Bunmei Taguchi. Ensemble-based Atmospheric Reanalysis using a Global Coupled Atmosphere-Ocean GCM. MONTHLY WEATHER REVIEW, 2018, 146, 10, p. 3311-3323, doi: 10.1175/MWR-D-17-0361.1
  • Lien, G.-Y, D. Hotta, E. Kalnay, T. Miyoshi, T.-C. Chen. Accelerating assimilation development for new observing systems using EFSO. NONLINEAR PROCESSES IN GEOPHYSICS, 2018, 25, p. 129-143, doi: doi: 10.5194/npg-25-129-2018
  • Sawada, Y., Nakaegawa, T. Miyoshi, T.. Hydrometeorology as an inversion problem: Can river discharge observations improve the atmosphere by ensemble data assimilation?. JOURNAL OF GEOPHYSICAL RESEARCH - Atmospheres, 2018, 123, p. 848-860, doi: https://doi.org/10.1002/2017JD027531
  • Honda, T., T. Miyosh, G.-Y. Lien, S. Nishizawa, R. Yoshida, S. A. Adachi, K. Terasaki, K. Okamoto, H. Tomita, K. Bessho. Assimilating All-Sky Himawari-8 Satellite Infrared Radiances: A Case of Typhoon Soudelor (2015). MONTHLY WEATHER REVIEW, 2018, doi: doi:10.1175/MWR-D-16-0357.1
  • Honda, T., S. Kotsuki, G.-Y. Lien, Y. Maejima, K. Okamoto, T. Miyoshi. Assimilation of Himawari-8 all-sky radiances every 10 minutes: Impact on precipitation and flood risk prediction. JOURNAL OF GEOPHYSICAL RESEARCH - Atmospheres, 2018, 123, p. 965-976, doi: https://doi.org/10.1002/2017JD027096
  • Kotsuki S., Greybush S., Miyoshi T.. Can we optimize the assimilation order in the serial ensemble Kalman filter? A study with the Lorenz-96 model. MONTHLY WEATHER REVIEW, 2017, 145, p. 4977-4995, doi: https://doi.org/10.1175/MWR-D-17-0094.1
  • Terasaki, K., T. Miyoshi. Assimilating AMSU-A Radiances with the NICAM-LETKF. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2017, 95, p. 433-446, doi: doi:10.2151/jms.j2017-028
  • Yuji Maejima, Masaru Kunii, Takemasa Miyoshi. 30-second-Update 100-m-Mesh Data Assimilation Experiments: A Sudden Local Rain Case in Kobe on 11 September 2014. SOLA: Scientific Online Letters on the Atmosphere, 2017, 13, p. 174-180, doi: doi:10.2151/sola.2017-032
  • Arakida H., T. Miyoshi, T. Ise, S.-I. Shima, S. Kotsuki. Non-Gaussian data assimilation of satellite-based leaf area index observations with an individual-based dynamic global vegetation model. NONLINEAR PROCESSES IN GEOPHYSICS, 2017, 24, p. 553-567, doi: doi:10.5194/npg-24-553-2017
  • Kotsuki S., Ota Y., Miyoshi T.. Adaptive covariance relaxation methods for ensemble data assimilation: Experiments in the real atmosphere. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2017, 143, p. 2001-2015, doi: doi: 10.1002/qj.3060.
  • Akira Yamazaki, Takeshi Enomoto, Takemasa Miyoshi, Akira Kuwano-Yoshida, and Nobumasa Komori. Using observations near the poles in the AFES-LETKF data assimilation system. SOLA, 2017, 13, p. 41-46, doi: 10.2151/sola.2017-008
  • Miki Hattori, Jun Matsumoto, Shin-Ya Ogino, Takeshi Enomoto, Takemasa Miyoshi. The Impact of Additional Radiosonde Observations on the Analysis of Disturbances in the South China Sea during VPREX2010. SOLA, 2016, 12, p. 75-79
  • Shigenori Otsuka, Gulanbaier Tuerhong, Ryota Kikuchi, Yoshikazu Kitano, Yusuke Taniguchi, Juan Jose Ruiz, Shinsuke Satoh, Tomoo Ushio, Takemasa Miyoshi. Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations. Weather and Forecasting, 2016, 31, doi: 10.1175
  • Takemasa Miyoshi, Masaru Kunii, Juan Ruiz, Guo-Yuan Lien, Shinsuke Satoh, Tomoo Ushio, Kotaro Bessho, Hiromu Seko, Hirofumi Tomita, Yutaka Ishikawa. "Big Data Assimilation" Revolutionizing Severe Weather Prediction. Bulletin of the American Meteorological Society, 2016, doi: 10.1175
  • Guo-Yuan Lien, Eugenia Kalnay, Takemasa Miyoshi, George J. Huffman. Statistical Properties of Global Precipitation in the NCEP GFS Model and TMPA Observations for Data Assimilation. Mon. Wea. Rev., 2015, 144, p. 663-679, doi: 10.1175
  • Takemasa Miyoshi, Keiichi Kondo, Koji Terasaki. Big Ensemble Data Assimilation in Numerical Weather Prediction. Computer, 2015, 48, 11, p. 15-21, doi: 10.1109
  • Guo-Yuan Lien, Takemasa Miyoshi, Eugenia Kalnay. Assimilation of TRMM Multisatellite Precipitation Analysis with a Low-Resolution NCEP Global Forecast System. Mon. Wea. Rev., 2015, 144, p. 643-661, doi: 10.1175
  • Shigenori Otsuka, Takemasa Miyoshi. A Bayesian optimization approach to multi-model ensemble Kalman filter with a low-order model. Mon. Wea. Rev., 2015, 143, p. 2001-2012, doi: 10.1175
  • Juan J. Ruiz, Takemasa Miyoshi, Shinsuke Satoh, Tomoo Ushio. A Quality Control Algorithm for the Osaka Phased Array Weather Radar. SOLA, 2015, 11, 2015, p. 48-52, doi: 10.2151
  • Shunji Kotsuki, Hideaki Takenaka, Kenji Tanaka, Atsushi Higuchi, Takemasa Miyoshi. 1-km-resolution land surface analysis over Japan: Impact of satellite-derived solar radiation. Hydrological Research Letters, 2015, 9, 1, p. 14-19, doi: 10.3178
  • K. Kondo, T. Miyoshi, and H. L. Tanaka. Parameter sensitivities of the dual-localization approach in the local ensemble transform Kalman filter. SOLA, 2013, 9, p. 174-178, doi: 10.2151/sola.2013-039
  • T. Miyoshi and K. Kondo. A multi-scale localization approach to an ensemble Kalman filter. SOLA, 2013, 9, p. 170-173, doi: 10.2151/sola.2013-038