2017年業績一覧

査読付原著論文

  1. 筒井浩行, 澤田洋平, 小池俊雄, 2017: 植生動態－陸面データ同化システムアウトプットを用いたオーストラリア大陸の渇水解析. 土木学会論文集B1（水工学）, 73 巻, 4 号, p.I_1237-I_1242. doi:10.2208/jscejhe.73.I_1237
  2. Kotsuki S., Greybush S., and Miyoshi T, 2017: Can we optimize the assimilation order in the serial ensemble Kalman filter? A study with the Lorenz-96 model. Monthly Weather Review, 145, 4977-4995. doi:10.1175/MWR-D-17-0094.1
  3. Hotta, D., E. Kalnay, Y. Ota, and T. Miyoshi, 2017: EFSR: Ensemble Forecast Sensitivity to Observation Error Covariance. Mon. Wea. Rev., 145, 5015-5031. doi:10.1175/MWR-D-17-0122.1
  4. Terasaki, K., and T. Miyoshi, 2017: Assimilating AMSU-A Radiances with the NICAM-LETKF. Journal of the Meteorological Society of Japan, 95, 433-446, doi:10.2151/jmsj.2017-028
  5. Maejima, Y., M. Kunii and T. Miyoshi, 2017: 30-second-Update 100-m-Mesh Data Assimilation Experiments: A Sudden Local Rain Case in Kobe on 11 September 2014. SOLA, 13, 174-180. doi:10.2151/sola.2017-032
  6. Arakida, H., T. Miyoshi, T. Ise, S.-I. Shima, and S. Kotsuki, 2017: Non-Gaussian data assimilation of satellite-based leaf area index observations with an individual-based dynamic global vegetation model. Nonlin. Processes Geophys., 24, 553-567. doi:10.5194/npg-24-553-2017
  7. Yang, S.-C., S.-H. Chen, K. Kondo, T.Miyoshi, Y.-C. Liou, Y.-L.Teng, and H.-L. Chang, 2017: Multilocalization data assimilation for predicting heavy precipitation associated with a multiscale weather system. J. Adv. Model. Earth Syst., 9, 1684-1702. doi:10.1002/2017MS001009
  8. Hotta, D., T.-C. Chen, E. Kalnay, Y. Ota and T. Miyoshi, 2017: Proactive QC: a fully flow-dependent quality control scheme based on EFSO. Mon. Wea. Rev., 145, 3331-3354. doi:10.1175/MWR-D-16-0290.1
  9. Otsuka, S., N. J. Trilaksono, and S. Yoden, 2017: Comparing simulated size distributions of precipitation systems at different model resolution. SOLA, 13, 130-134. doi: 10.2151/sola.2017-024
  10. Sawada, Y., H. Tsutsui, T. Koike, 2017: Ground Truth of Passive Microwave Radiative Transfer on Vegetated Land Surfaces. Remote Sens, 9, 655. doi:10.3v390/rs9070655
  11. Getirana, A., A. Boone, C. Peugeot, and ALMIP2 Working Group (Full List in Appendix), 2017: Streamflows over a West African basin from the ALMIP-2 model ensemble. Journal of Hydrometeorology, 18, 1831-1845. doi:10.1175/JHM-D-16-0233.1
  12. Grippa, M., L. Kergoat, A. Boone, C. Peugeot, J. Demarty, B. Cappelaere, L. Gal, P. Hiernaux, E. Mougin, A. Ducharne, E. Dutra, M. Anderson, C. Hain, and ALMIP2 Working Group (Full List in Appendix), 2017: Modelling surface runoff and water fluxes over contrasted soils in pastoral Sahel: evaluation of the ALMIP2 land surface models over the Gourma region in Mali. Journal of Hydrometeorology, 18, 1847-1866. doi:10.1175/JHM-D-16-0170.1
  13. Kotsuki S., Y. Ota, and T. Miyoshi, 2017: Adaptive covariance relaxation methods for ensemble data assimilation: Experiments in the real atmosphere. Quarterly Journal of the Royal Meteorological Society, 143, 2001-2015. doi: 10.1002/qj.3060
  14. Okamoto, K, 2017: Evaluation of IR radiance simulation for all-sky assimilation of Himawari-8/AHI in a mesoscale NWP system. Q.J.R. Meteorol. Soc., 143, 1517-1527. doi:10.1002/qj.3022
  15. Okazaki, A., and K. Yoshimura, 2017: Development and evaluation of a system of proxy data assimilation for paleoclimate reconstruction. Clim. Past, 13, 379-393. doi:10.5194/cp-13-379-2017
  16. Kotsuki, S., T. Miyoshi, K. Terasaki, G.-Y. Lien, and E. Kalnay, 2017: Assimilating the global satellite mapping of precipitation data with the Nonhydrostatic Icosahedral Atmospheric Model (NICAM). Journal of Geophysical Research: Atmospheres, 122, 1-20. doi: 10.1002/2016JD025355
  17. 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

招待講演

  1. 三好建正: 「ビッグデータ同化」による天気予報革命. JST・NSF国際連携シンポジウム, 東京, 2017年12月20日.
  2. G.-Y. Lien, T. Miyoshi, and T. Honda: Roles and issues of a high-resolution regional ensemble data assimilation system for a small area. Central Weather Bureau, Taipei, Taiwan, 19th December 2017.
  3. 三好建正: 天気予報シミュレーションと衛星降水観測を結ぶデータ同化研究の最先端. 平成29年度全球降水観測計画（GPM）シンポジウム「宇宙から見る雨～これまでの20年、これからの20年～」, 東京, 2017年11月29日.
  4. [Keynote] Miyoshi, T., G.-Y. Lien, T. Honda, M. Kunii, J. Ruiz, Y. Maejima, S. Otsuka, K. Kondo, S. Kotsuki, K. Terasaki, T. Teramura, H. Seko, S. Satoh, T. Ushio, K. Bessho, K. Kamide, H. Tomita, S. Nishizawa, T. Yamaura, and Y. Ishikawa: "Big Data Assimilation" Revolutionizing Weather Prediction. ICMCS-XII, Taipei, Taiwan, 18th October 2017.
  5. Miyoshi, T.: "Big Data Assimilation" for 30-second-update 100-m-mesh Numerical Weather Prediction. International Symposium on Earth-Science Challenges 2017, Uji, Kyoto, Japan, 4th October 2017.
  6. Lien, G.-Y.: Toward an operational high-resolution regional LETKF data assimilation system for a small area: challenges and promises. Taiwan Typhoon and Flood Research Institute, Taipei, Taiwan, 22nd September 2017.
  7. Miyoshi, T.: "Big Data Assimilation" revolutionizing weather prediction. CREST Big Data Application Symposium, AKIBA Hall, Tokyo, Japan, 16th, September 2017.
  8. Miyoshi, T.: Data Assimilation Research at RIKEN: Numerical Weather Prediction and Beyond. Atmosphere-ocean Joint Seminar, University of Tokyo, Tokyo, Japan, 11th September 2017.
  9. Miyoshi, T., . Kotsuki, K. Terasaki, K. Kondo, G.-Y. Lien, M. Satoh, H. Tomita, and E. Kalnay: Enhancing Data Assimilation of GPM Observations. Asia Oceania Geosciences Society (AOGS) 14th Annual Meeting, Singapore, 8th August 2017.
  10. Miyoshi, T., G.-Y., Lien, M. Kunii, J. Ruiz, Y. Maejima, S. Otsuka, K. Kondo, T. Teramura, H. Seko, S. Satoh, T. Ushio, K. Bessho, K. Kamide, H. Tomita, S. Nishizawa, T. Yamaura, and Y. Ishikawa: "Big Data Assimilation" for 30-second-update 100-m-mesh Numerical Weather Prediction. Asia Oceania Geosciences Society (AOGS) 14th Annual Meeting, Singapore, 8th August 2017.
  11. 近藤圭一・三好建正: ビッグデータ同化研究における研究例、社会実装例、及び事務的支援. 第7回関西地域大学研究支援スタッフミーティング, 京都, 2017年8月6日.
  12. Miyoshi, T.: "Big data assimilation" for 30-second-update 100-m-mesh numerical weather prediction. The 3rd International Workshop on Extreme Weather in Changing Climate in the Maritime Continent, Singapore, 25th July 2017.
  13. Miyoshi, T.: Data Assimilation: Integrating model and measurements. South-East Asian School on Tropical Atmospheric Science (SEASTAS), Singapore, 24th July 2017.
  14. 三好建正: データ同化:シミュレーションと観測をつなぐ. 気象衛星シンポジウム, 東京, 2017年7月22日.
  15. 三好建正: "Big Data Assimilation" Revolutionizing Weather Prediction. 金曜日セミナー, 東京大学地震研究所, 東京, 2017年7月14日.
  16. 小槻峻司・三好建正: 全球大気アンサンブルデータ同化システムNICAM-LETKFによる衛星降水観測データ同化. 地震研特定共同研究(B)「データ同化」勉強会, 東京大学, 東京, 2017年7月14日.
  17. Miyoshi, T.: Big Data Assimilation" for 30-second-update 100-m-mesh Numerical Weather Prediction. Data Science & Environment, Brest, France, 6th July 2017.
  18. Lien, G.-Y., T. Miyoshi: 30-second-cycle LETKF assimilation of phased array weather radar data. South China Sea Science Conference 2017, Kaohsiung, 4th June 2017.
  19. Okazaki, A., K. Yoshimura, T. Miyoshi: Development and evaluation of isotopic proxy data assimilation system. First workshop of the PAGES working group on Paleoclimate Reanalyses, Data Assimilation and Proxy System modelling (DAPS), Louvain-la-Neuve, Belgium, 30th May 2017.
  20. Terasaki, K., T. Miyoshi: Reconditioning the observation error covariance matrix in a local ensemble transform Kalman filter: experiments with Lorenz-96 model. JpGU, Makuhari, 22nd May 2017.
  21. Lien, G.-Y., T. Miyoshi, J. Ruiz: 30-second-cycle LETKF assimilation of phased array weather radar data. JpGU-AGU Joint Meeting 2017, Chiba, 20th May 2017.
  22. Miyoshi, T.: Data Assimilation Research at RIKEN: Toward extreme-scale computation. An examination of data assimilation algorithms, observations, and applications in the context of next-generation computing. National Science Foundation, Arlington, VA, USA., 7th April 2017.
  23. Miyoshi, T.: Data Assimilation Research at RIKEN: Numerical Weather Prediction and Beyond AOSC Seminar, College Park, Maryland, USA, 16th March 2017.
  24. 大塚成徳: ビッグデータ同化：未来の天気予報へ. 豊橋技術科学大学 平成28年度計算技術科学実践教育プログラム 最先端データサイエンス講座, 豊橋, 2017年3月13日.
  25. [Keynote] Miyoshi, T.: Big Data Assimilation For Extreme-scale Numerical Weather Prediction. BDEC China, Wuxi,China, 9th March 2017.
  26. Miyoshi, T.: Data Assimilation Research Team, Goals and Activities. Weather-Chaos Meeting, College Park, Maryland, USA, 30th January 2017.
  27. 小槻峻司・三好建正: 予測モデルのためのデータ同化 PSTEP研究集会, 名古屋, 2017年1月27日.
  28. Miyoshi, T.: Enhancing Data Assimilation of GPM Observations. 平成28年度地球環境観測ミッション合同PI報告会, PMMパラレルセッション, 東京, 2017年1月23日.
  29. Sawada, Y.: Towards monitoring and predicting mega-droughts: A model-data integration approac. Future Earth International Co-Design Workshop Earth Observation in Support of the Sustainable Development Goals, Tokyo, 16th January 2017.
  30. Miyoshi, T., H. Tomita, S. Satoh and Y. Ishikawa: Project Progress Report CREST International Symposium on Big Data Application, Tokyo, 11th January 2017.

受賞

  1. The Most Cited Paper Award 2017 (by Japan Geoscience Union), 2017年4月18日.
    Satoh, M., H. Tomita, H. Yashiro, H. Miura, C. Kodama, T. Seiki, A. Noda, Y. Yamada, D. Goto, M. Sawada, T. Miyoshi, Y. Niwa, M. Hara, T. Ohno, S. Iga, T. Arakawa, T. Inoue, H. Kubokawa, 2014: The non-hydrostatic icosahedral atmospheric model: description and development. Progress in Earth and Planetary Science, 1:18. doi:10.1186/s40645-014-0018-1
  2. Miyoshi, T.: Editor's Award, Monthly Weather Review (by American Meteorological Society, Seattle). January 2017.

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