2019年業績一覧

査読付原著論文

  1. Koji Terasaki, Shunji Kotsuki, Takemasa Miyoshi, 2019: Multi-Year Analysis Using the NICAM-LETKF Data Assimilation System. SOLA, 2019, 15, p.41-46. doi:10.2151/sola.2019-009
  2. Yasumitsu MAEJIMA, Takemasa MIYOSHI, Masaru KUNII, Hiromu SEKO, Kae SATO, 2019: Impact of Dense and Frequent Surface Observations on 1-Minute-Update Severe Rainstorm Prediction: A Simulation Study. Journal of the Meteorological Society of Japan, Ser. II, Volume 97, Issue 1, Pages 253-273. doi:10.2151/jmsj.2019-014
  3. Sawada, Y., Okamoto, K., Kunii, M., & Miyoshi, T., 2019: Assimilating every-10-minute Himawari-8 infrared radiances to improve convective predictability. Journal of Geophysical Research: Atmospheres, 124, 2546-2561. doi:10.1029/2018JD029643
  4. Okamoto, K, Sawada, Y, Kunii, M., 2019: Comparison of assimilating all-sky and clear-sky infrared radiances from Himawari-8 in a mesoscale system. Q J R Meteorol Soc., 145 745-766. doi:10.1002/qj.3463
  5. Takumi Honda, Shohei Takino, Takemasa Miyoshi, 2019: Improving a Precipitation Forecast by Assimilating All-Sky Himawari-8 Satellite Radiances: A Case of Typhoon Malakas (2016) SOLA, Volume 15, Pages 7-11. doi:10.2151/sola.2019-002
  6. Shunji Kotsuki, Koji Terasaki, Kaya Kanemaru, Masaki Satoh, Takuji Kubota, Takemasa Miyoshi, 2019: 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, Volume 15A, Pages 1-7. doi:10.2151/sola.15A-001
  7. S. Takino, T. Honda, T. Miyoshi, T. Tsukada, 2019: Improving prediction of river-basin precipitation by assimilating every-10-minute all-sky Himawari-8 infrared satellite radiances - A case of Typhoon Malakas (2016) International Commission On Large Dams 2019 Symposium Proceedings, Volume 2, p339.
  8. Kotsuki, S., K. Kurosawa, S. Otsuka, K. Terasaki, T. Miyoshi, 2019: Global Precipitation Forecasts by Merging Extrapolation-Based Nowcast and Numerical Weather Prediction with Locally Optimized Weights, Wea. Forecasting, 34, 701-714. doi:10.1175/WAF-D-18-0164.1
  9. 滝野晶平, 本田匠, 三好建正, 塚田智之, 2019: 10分毎のひまわり8号赤外輝度温度観測のデータ同化による流域雨量予測の改善-2016年9月台風16号の事例, 大ダム No.248, 79-82.
  10. Okazaki, A., Honda, T., Kotsuki, S., Yamaji, M., Kubota, T., Oki, R., Iguchi, T., Miyoshi, T., 2019: Simulating precipitation radar observations from a geostationary satellite, Atmos. Meas. Tech., 12, 3985-3996. doi:10.5194/amt-12-3985-2019
  11. Kotsuki S., Kurosawa K., Miyoshi T., 2019: On the Properties of Ensemble Forecast Sensitivity to Observations. Quarterly Journal of the Royal Meteorological Society, 145, 1897-1914. doi:10.1002/qj.3534
  12. Kondo, K., T. Miyoshi, 2019: Non-Gaussian statistics in global atmospheric dynamics: a study with a 10240-member ensemble Kalman filter using an intermediate atmospheric general circulation model. Nolin. Processes Geophys., 26, 211-225. doi:10.5194/npg-26-211-2019
  13. Okazaki, A., Yoshimura, K., 2019: Global evaluation of proxy system models for stable water isotopes with realistic atmospheric forcing. Journal of Geophysical Research: Atmospheres, 124, 8972- 8993. doi:10.1029/2018JD029463
  14. Kenta Kurosawa, Yusuke Uchiyama, Taichi Kosako, 2019: Development of a numerical marine weather routing system for coastal and marginal seas using regional oceanic and atmospheric simulations, Ocean Engineering, Volume 195, 2020, 106706, ISSN 0029-8018. doi:10.1016/j.oceaneng.2019.106706
  15. Steven J. Greybush, Eugenia Kalnay, R. John Wilson, Ross N. Hoffman, Thomas Nehrkorn, Mark Leidner, Janusz Eluszkiewicz, Hartzel E. Gillespie, Matthew Wespetal, Yongjing Zhao, Matthew Hoffman, Patrick Dudas, Timothy McConnochie, Armin Kleinböhl, David Kass, Daniel McCleese, Takemasa Miyoshi, 2019: The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0, Geoscience Data Journal, Volume 6, Issue 2 November 2019 Pages 137-150, 23 August 2019. doi:10.1002/gdj3.77
  16. Taeka AWAZU, Shigenori OTSUKA, Takemasa MIYOSHI, 2019: Verification of Precipitation Forecast by Pattern Recognition, Journal of the Meteorological Society of Japan. Ser. II, Volume 97, Issue 6, Pages 1173-1189. doi:10.2151/jmsj.2019-066
  17. 庄司 悟, 岡﨑 淳史, 芳村 圭, 2019: 気候プロキシデータ同化における観測インパクトの時空間偏在性に関する考察, 土木学会論文集B1（水工学）, 2018, 74 巻, 5 号, p. I_49-I_54, Online ISSN 2185-467X. doi:10.2208/jscejhe.74.5_I_49
  18. Shigenori OTSUKA, Shunji KOTSUKI, Marimo OHHIGASHI, Takemasa MIYOSHI, 2019: GSMaP RIKEN Nowcast: Global Precipitation Nowcasting with Data Assimilation, Journal of the Meteorological Society of Japan. Ser. II, Volume 97, Issue 6, Pages 1099-1117. doi:10.2151/jmsj.2019-061

招待講演

  1. T. Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, ESSIC seminar, College Park, MD, USA, 28th March 2019.
  2. T. Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, ADAPT Co-Sponsoresd Seminar, University Park, PA, USA, 25th March 2019.
  3. T. Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, RIMS Gasshuku Seminar 2019 for Data assimilation, Kyoto, Japan, 2019年3月20日.
  4. T. Miyoshi: Introductory Lecture for data assimilation, RIMS Gasshuku Seminar 2019 for Data assimilation, Kyoto, Japan, 2019年3月18日.
  5. T. Miyoshi: データ同化が拓く予測の科学, 第3回ものづくりワークショップ:バイオ車載材料の情報科学 シミュレーションとデータ同化が未来のものづくり設計を変える, Wako, Japan, 2019年3月15日.
  6. T. Miyoshi: 「ビッグデータ同化」の技術革新の創出によるゲリラ豪雨予測の実証, ビッグデータ基盤/応用 合同領域会議, Kyoto, Japan, 2019年3月13日.
  7. T. Miyoshi: ビッグデータ同化による新世代気象予測[CREST], JST戦略的創造研究推進事業 新技術説明会～製造技術・情報・材料～, Tokyo, Japan, 2019年3月8日.
  8. Hironori Arai, Wataru Takeuchi, Kei Oyoshi, Lam Dao Nguyen, Towa Tachibana, Ryuta Uozumi, Koji Terasaki, Takemasa Miyoshi, Hisashi Yashiro, Kazuyuki Inubushi: Low cost and transparent MRV system of GHG emissions based on satellite remote sensing data case study on CH4 emission from the Mekong delta, 27th IIS forum "Earth observation, disaster monitoring and risk assessment from space", Tokyo, Japan, 6th March 2019.
  9. Takemasa Miyoshi, Shigenori Otsuka, Takumi Honda, Guo-Yuan Lien, Yasumitsu Maejima, Yoshito Yoshizaki, Hiromu Seko, Hirofumi Tomita, Shinsuke Satoh, Tomoo Ushio, Tatiana V. Martsinkevich, Balazs Gerofi, Yutaka Ishikawa: Big Data Assimilation: Past 5 Years and Perspectives for the Future, ICMCX-XIII, Okinawa, Japan, 6th March 2019.
  10. T. Miyoshi: Big Data, Supercomputing, and Data Assimilation: Weather Prediction and Beyond, LMD-X seminar, Paris, France, 26th Feburuary 2019.
  11. Hironori Arai: Wataru Takeuchi,Kei Oyoshi, Lam Dao Nguyen,Towa Tachibana, Ryuta Uozumi,Koji Terasaki, Takemasa Miyoshi, Hisashi Yashiro, Kazuyuki Inubushi, Satellite data based MRV system of GHGs emission from tropical rice paddies, ALOS Kyoto & Carbon Initiative 25th Science Team meeting, Tokyo, Japan, 5th Feburuay 2019.
  12. T. Miyoshi: Enhancing Data Assimilation of GPM Observations, The Joint PI Meeting of JAXA Earth Observation Missions FY2018, Tokyo, Japan, 25th January 2019.
  13. Takemasa Miyoshi, Hirofumi Tomita, Shinsuke Satoh, Tomoo Ushio, Yutaka Ishikawa: Project Report, CREST International Symposium on Big Data Application, Tokyo, Japan, 14th January 2019.
  14. T. Miyoshi: データ同化研究：ゲリラ豪雨予測からその先へ, 第5回CFD技術部門委員会, Tokyo, Japan, 1st January 2019.
  15. Kotsuki S., Sato Y., Terasaki K., Yashiro H., Tomita H., Satoh M., Miyoshi T.: Model Parameter Estimation with Data Assimilation using NICAM-LETKF. JpGU Meeting 2019, Chiba, Japan, 29th May 2019.
  16. Arakida, H., S. Kotsuki, S. Otsuka, Y. Sawada, T. Miyoshi: Data assimilation experiments with MODIS LAI observations and the dynamic global vegetation model SEIB-DGVM over Siberia, JPGU2019, Chiba, Japan, 29th May 2019.
  17. Takemasa Miyoshi: Big data assimilation: A New Science for Weather Prediction and Beyond, 14th International EnKF Workshop in Voss, PARK HOTEL VOSSEVANGEN, Voss, Norway, 4th June 2019.
  18. Takemasa Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, Seminar, DWD, Frankfurt, Germany, 13th June 2019.
  19. Takemasa Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, Seminar, LMU, Munich, Germany, 17th June 2019.
  20. 三好建正: ビッグデータ同化：数値天気予報から予測科学へ, 講演会（ショートセミナー）, 日本工営株式会社, Tsukuba, Japan, 2019年7月4日.
  21. 三好建正: ビッグデータ同化：数値天気予報から予測科学へ, 社内講演会, 株式会社先端力学シミュレーション研究所東京事業所, Tokyo, Japan, 2019年7月5日.
  22. Takemasa Miyoshi: HPC challenges in numerical climate simulation and weather prediction, International HPC Summer School 2019, R-CCS, Kobe, Japan, 10th July 2019.
  23. 小槻峻司, 三好建正: 全球大気データ同化システムによる天気予報研究の最前線, 第14回名工大・核融合研合同セミナー, 2019年7月8日.
  24. Takemasa Miyoshi: Big Data Assimilation A New Science for Weather Prediction and Beyond, 6th CREST "Big Data Application" Camp for Researchers, Shonan Village Center, Kanagawa, Japan, 26th September 2019.
  25. 三好建正: ビッグデータ同化：数値天気予報から予測科学へ, 通信技術部会電波センサ専門部会講演会, 三菱電機株式会社, Amagasaki, Japan, 2019年10月3日.
  26. Takemasa Miyoshi: Big Data Assimilation Incorporating Deep Learning with Phased Array Radar Data and Numerical Weather Prediction, BDEC2 San Diego, La Jolla Shores Hotel, San Diego, USA, 16th October 2019.
  27. 三好建正: ビッグデータ同化：「富岳」が拓く未来の天気予報, スーパーコンピュータ推進議員連盟総会,自民党本部, Tokyo, Japan, 2019年10月28日.
  28. 三好建正: 気象予報におけるビッグデータ同化とAIの協働に向けて, 第6回「京」を中核とするHPCIシステム利用研究課題成果報告会, THE GRAND HALL, Tokyo, Japan, 2019年11月1日.
  29. 大塚成徳, 三好建正: データ同化技術について, HPCを活用した自動車用次世代CAEコンソーシアム 第5回総会基調講演, Kobe, Japan, 2019年11月5日.
  30. 三好建正: データ同化研究～ゲリラ豪雨予測から、予測科学へ～, 精華寿大学第5回講座, 精華町地域福祉センターかしのき苑, Kyoto, Japan, 2019年11月8日.
  31. Takemasa Miyoshi: Big Data Assimilation: 30-second-update Weather Forecasting and Perspectives toward DA-AI Integration, Big Data, Data Assimilation and Uncertainty Quantification, Institut Henri Poincaré, Paris, France, 12th November 2019.
  32. 三好建正: ビッグデータ同化 ～ゲリラ豪雨予測から、予測科学へ～, 独立行政法人酒類総合研究所, Hiroshima, Japan, 2019年11月20日.
  33. Takemasa Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, ACADEMIA SINICA, Taipei, Taiwan, 27th November 2019.
  34. Takemasa Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, National Taiwan University, Taipei, Taiwan, 28th November 2019.
  35. Takemasa Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, National Central University, Taoyuan City, Taiwan, 29th November 2019.
  36. 大塚成徳, 三好建正: 最先端の気象予測技術：ゲリラ豪雨予測の実現に向けて, 第45回（2019年度第2回）スーパーコンピューティング技術産業応用協議会セミナー, Tokyo, Japan, 2019年11月29日.
  37. Otsuka, S., T. Miyoshi: Overview of the rapid-update weather forecasting with the phased-array weather radar, 2019 6th KNU CARE Workshop on Phase array radar and Nowcasting, Daegu, South Korea, 5th December 2019.
  38. Otsuka, S., M. Ohhigashi, T. Miyoshi: Three-dimensional precipitation nowcasting with the phased-array weather radar, 2019 6th KNU CARE Workshop on Phase array radar and Nowcasting, Daegu, South Korea, 5th December 2019.

受賞

  1. 小槻峻司: 理化学研究所 第10回研究奨励賞（桜舞賞）「アンサンブルデータ同化手法に基づく全球天気予報システムの高度化」. 2019年3月12日.

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