プロフィール

専門

研究業績

査読有り（JAMSTECでの成果）

Akira Yamazaki, Koji Terasaki, Takemasa Miyoshi, Shunsuke Noguchi. Estimation of AMSU-A radiance observation impacts in an LETKF-based atmospheric global data assimilation system: Comparison with EFSO and observing system experiments. WEATHER AND FORECASTING, 2023, 38, 6, p. 953-970, doi: 10.1175/WAF-D-22-0159.1
Ohishi, S., T. Hihara, H. Aiki, J. Ishizaka, Y. Miyazawa, M. Kachi, and T. Miyoshi. An ensemble Kalman filter system with the Stony Brook Parallel Ocean Model v1.0. Geoscientific Model Development, 2022, 15, p. 8395-8410, doi: 10.5194/gmd-15-8395-2022
Yamazaki, A., T. Miyoshi, J. Inoue T. Enomoto, and N. Komori. EFSO at different geographical locations verified with observing-system experiments. WEATHER AND FORECASTING, 2021, 36, 4, p. 1219-1236, doi: 10.1175/WAF-D-20-0152.1
Sawada, Y., Okamoto, K., Kunii, M., & Miyoshi, T. Assimilating every‐10‐minute Himawari‐8 infrared radiances to improve convective predictability. JOURNAL OF GEOPHYSICAL RESEARCH - Atmospheres, 2019, 124, 5, p. 2546-2561, doi: 10.1029/2018JD029643
Koji Terasaki, Shunji Kotsuki, Takemasa Miyosh. Multi-Year Analysis Using the NICAM-LETKF Data Assimilation System. SOLA: Scientific Online Letters on the Atmosphere, 2019, 15, p. 41-46, doi: 10.2151/sola.2019-009
Yasumitsu MAEJIMA, Takemasa MIYOSHI, Masaru KUNII, Hiromu SEKO, Kae SATO. Impact of Dense and Frequent Surface Observations on 1-Minute-Update Severe Rainstorm Prediction: A Simulation Study. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2019, 97, 1, p. 253-273, doi: 10.2151/jmsj.2019-014
Kotsuki S., Terasaki K., Kanemaru K., Satoh M., Kubota T. and Miyoshi T. Predictability of Record-Breaking Rainfall in Japan in July 2018: Ensemble Forecast Experiments with the Near-real-time Global Atmospheric Data Assimilation System NEXRA. SOLA: Scientific Online Letters on the Atmosphere, 2019, 15A, p. 1-7, doi: 10.2151/sola.15A-001
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
Kotsuki S., K. Terasaki, H. Yashiro, H. Tomita, M. Satoh, and T. Miyoshi. Online Model Parameter Estimation with Ensemble Data Assimilation in the Real Global Atmosphere: A Case with the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) and the Global Satellite Mapping of Precipitation Data. JOURNAL OF GEOPHYSICAL RESEARCH - Atmospheres, 2018, 123, 14, p. 7375-7392, doi: 10.1029/2017JD028092
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