Education

1. BSc, Faculty of Science, Kyoto University, Japan, Mar 2004

2. MSc, Graduate School of Science, Kyoto University, Japan, Mar 2006

3. PhD, Graduate School of Science, Kyoto University, Japan, Mar 2009 (Advisor: Prof. Shigeo Yoden)

Experiences

1. Teaching Assistant (Jun-Sep 2005, Oct-Jan 2006)
   Graduate School of Science, Kyoto University, Japan

2. Research Assistant (Jun-Feb 2006)
   Graduate School of Science, Kyoto University, Japan

3. Postdoctoral Research Associate (Apr-Nov 2009)
   Graduate School of Science, Kyoto University, Japan

4. Program-Specific Postdoctoral Research Associate (Nov 2009 - Sep 2012)
   Graduate School of Science, Kyoto University, Japan

5. Program-Specific Assistant Professor (Oct-Dec 2012)
   Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Japan

6. Postdoctoral Researcher (Jan 2013 - May 2016)
   RIKEN Advanced Institute for Computational Science, Japan

7. Research Scientist (Jun 2016 - Mar 2025)
   RIKEN Advanced Institute for Computational Science, Japan (Jun 2016 - Mar 2018)
   RIKEN Center for Computational Science, Japan (Apr 2018 - Mar 2025)

8. Part-time Lecturer (Apr 2017 - Mar 2019, May 2019 - Feb 2026)
   Graduate School of Science, Kyoto University, Japan

9. Research Scientist (concurrent, Apr 2018 - Mar 2025)
   RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program, Japan

10. Collaborative Associate Professor (May 2018 - Feb 2026)
    Graduate School of Science, Kyoto University, Japan

11. Research Scientist (concurrent, Apr 2019 - Mar 2025)
    RIKEN Cluster for Pioneering Research, Japan

12. Senior Research Scientist (Apr 2025 - Feb 2026)
    RIKEN Center for Computational Science, Japan

13. Senior Research Scientist (concurrent, Apr 2025 - Feb 2026)
    RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences, Japan

14. Associate Professor (Mar 2026 -)
    Institute for Advanced Academic Research, Chiba University, Japan

15. Associate Professor (concurrent, Mar 2026 -)
    Center for Environmental Remote Sensing, Chiba University, Japan

16. Visiting Scientist (Apr 2026 -)
    RIKEN Center for Computational Science, Japan

Grants

1. JSPS Research Fellow (DC2) 19-5787, "Research on the atmospheric circulation and mixing processes around the intertropical convergence zone ---role of layered structures---" (Apr 2007 - Mar 2009)

2. JSPS KAKENHI Grant Number JP16K17807, "Understanding and improving convective-scale predictability" (Apr 2016 - Mar 2020)

Awards

1. Otsuka, S., RIKEN Oubu Research Incentive Award, Development of a novel three-dimensional precipitation nowcast method and its real-time demonstration, 10 March 2020

2. Miyoshi, T., A. Amemiya, S. Otsuka, Y. Maejima, J. Taylor, T. Honda, H. Tomita, S. Nishizawa, K. Sueki, T. Yamaura, Y. Ishikawa, A. Uno, RIKEN Baiho Award, Real-time 30-second-refresh numerical weather prediction using Fugaku, 14 March 2025 https://www.riken.jp/pr/news/2025/20250314_1/index.html [↗]

Refereed journal papers

1. Almeida, A. P., H. M. J. Barbosa, S. R. Garcia, D. J. Gagne, K. Zhou, T. Kubota, T. Ushio, S. Otsuka, S. Pfreundschuh, and A. J. P. Calheiros, 2026: A regional benchmark for deep learning–based hourly precipitation nowcasting in Latin America. IEEE Access, 14, 38306-38331. https://doi.org/10.1109/access.2026.3670767 [↗]

2. Konduru, R. T., J. Liang, S. Otsuka, and T. Miyoshi, 2026: Observing systems simulation experiments of hypothetical hourly global coverage of microwave satellite radiances: imbalance and adaptive observation error inflation. J. Geophys. Res. Atmos., in press.

3. Baron, P., S. Otsuka, S. Satoh, S. Kawamura, and T. Ushio, 2025: Real-time nowcasting of sudden heavy rainfall using artificial neural network and multi-parameter phased array radar. SOLA, 21, 319-328. https://doi.org/10.2151/sola.2025-039 [↗]

4. Miyoshi, T., A. Amemiya, S. Otsuka, Y. Maejima, J. Taylor, T. Honda, H. Tomita, S. Nishizawa, K. Sueki, T. Yamaura, Y. Ishikawa, S. Satoh, T. Ushio, K. Koike, and A. Uno, 2023: Big data assimilation: real-time 30-second-refresh heavy rain forecast using Fugaku during Tokyo Olympics and Paralympics. in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23), Association for Computing Machinery, 8, 1-10. https://doi.org/10.1145/3581784.3627047 [↗]

5. Taylor, J., T. Honda, A. Amemiya, S. Otsuka, Y. Maejima, and T. Miyoshi, 2023: Sensitivity to localization radii for an ensemble filter numerical weather prediction system with 30-second update. Wea. Forecasting, 38, 611-632. https://doi.org/10.1175/waf-d-21-0177.1 [↗]

6. Honda, T., A. Amemiya, S. Otsuka, G.-Y. Lien, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, S. Satoh, Y. Ishikawa, and T. Miyoshi, 2022: Development of the real-time 30-s-update big data assimilation system for convective rainfall prediction with a phased array weather radar: description and preliminary evaluation. J. Adv. Model. Earth Sys., 14, e2021MS002823. https://doi.org/10.1029/2021MS002823 [↗]

7. Honda, T., A. Amemiya, S. Otsuka, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, and T. Miyoshi, 2022: Advantage of 30-s-updating numerical weather prediction with a phased-array weather radar over operational nowcast for a convective precipitation system. Geophys. Res. Lett., 49, e2021GL096927. https://doi.org/10.1029/2021GL096927 [↗]

8. Otsuka, S., 2022: Visualizing Lamb waves from a volcanic eruption using meteorological satellite Himawari-8. Geophys. Res. Lett., 49, e2022GL098324. https://doi.org/10.1029/2022GL098324 [↗]

9. Ruiz, J., G.-Y. Lien, K. Kondo, S. Otsuka, and T. Miyoshi, 2021: Reduced non-Gaussianity by 30 s rapid update in convective-scale numerical weather prediction. Nonlin. Processes Geophys., 28, 615-626. https://doi.org/10.5194/npg-28-615-2021 [↗]

10. Arakida, H., S. Kotsuki, S. Otsuka, Y. Sawada, and T. Miyoshi, 2021: Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia. Prog. Earth Planet. Sci., 8, 52. https://doi.org/10.1186/s40645-021-00443-6 [↗]

11. Awazu, T., S. Otsuka, and T. Miyoshi, 2019: Verification of precipitation forecast by pattern recognition. J. Meteor. Soc. Japan, 97, 1173-1189. https://doi.org/10.2151/jmsj.2019-066 [↗]

12. Otsuka, S., S. Kotsuki, M. Ohhigashi, and T. Miyoshi, 2019: GSMaP RIKEN Nowcast: Global precipitation nowcasting with data assimilation. J. Meteor. Soc. Japan, 97, 1099-1117. https://doi.org/10.2151/jmsj.2019-061 [↗]

13. Kotsuki, S., K. Kurosawa, S. Otsuka, K. Terasaki, and T. Miyoshi, 2019: Global precipitation forecasts by merging extrapolation-based nowcast and numerical weather prediction with locally-optimized weights. Wea. Forecasting, 34, 701-714. https://doi.org/10.1175/WAF-D-18-0164.1 [↗]

14. Otsuka, S., N. J. Trilaksono, and S. Yoden, 2017: Comparing simulated size distributions of precipitation systems at different model resolution. SOLA, 13, 130-134. https://doi.org/10.2151/sola.2017-024 [↗]

15. Miyoshi, T., G.-Y. Lien, S. Satoh, T. Ushio, K. Bessho, H. Tomita, S. Nishizawa, R. Yoshida, S. A. Adachi, J. Liao, B. Gerofi, Y. Ishikawa, M. Kunii, J. Ruiz, Y. Maejima, S. Otsuka, M. Otsuka, K. Okamoto, and H. Seko, 2016: "Big Data Assimilation" toward post-petascale severe weather prediction: an overview and progress. Proceedings of the IEEE, 104, 2155-2179. https://doi.org/10.1109/JPROC.2016.2602560 [↗]

16. Otsuka, S., S. Kotsuki, and T. Miyoshi, 2016: Nowcasting with data assimilation: a case of Global Satellite Mapping of Precipitation. Wea. Forecasting, 31, 1409-1416. https://doi.org/10.1175/WAF-D-16-0039.1 [↗]

17. Kobayashi, K., S. Otsuka, Apip, and K. Saito, 2016: Ensemble flood simulation for a small dam catchment in Japan using 10 and 2km resolution nonhydrostatic model rainfalls. Nat. Hazards Earth Syst. Sci., 16, 1821-1839. https://doi.org/10.5194/nhess-16-1821-2016 [↗]

18. Otsuka, S., G. Tuerhong, R. Kikuchi, Y. Kitano, Y. Taniguchi, J. J. Ruiz, S. Satoh, T. Ushio, and T. Miyoshi, 2016: Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations. Wea. Forecasting, 31, 329-340. https://doi.org/10.1175/WAF-D-15-0063.1 [↗]

19. Otsuka, S. and T. Miyoshi, 2015: A Bayesian optimization approach to multimodel ensemble Kalman filter with a low-order model. Mon. Wea. Rev., 143, 2001-2012. https://doi.org/10.1175/MWR-D-14-00148.1 [↗]

20. Otsuka, S., M. Takeshita, and S. Yoden, 2014: A numerical experiment on the formation of the tropopause inversion layer associated with an explosive cyclogenesis: Possible role of gravity waves. Prog. Earth Planet. Sci., 1, 19. https://doi.org/10.1186/s40645-014-0019-0 [↗]

21. 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. 土木学会論文集B1（水工学）, 69, I_1597-I_1602. https://doi.org/10.2208/jscejhe.69.I_1597 [↗]

22. Otsuka, S., S. Nishizawa, T. Horinouchi, and S. Yoden, 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. https://doi.org/10.20965/jdr.2013.p0048 [↗]

23. Trilaksono, N. J., S. Otsuka, and S. Yoden, 2012: A time-lagged ensemble simulation on the modulation of precipitation over West Java in January-February 2007. Mon. Wea. Rev., 140, 601-616. https://doi.org/10.1175/MWR-D-11-00094.1 [↗]

24. Trilaksono, N. J., S. Otsuka, S. Yoden, K. Saito, and S. Hayashi, 2011: Dependence of model-simulated heavy rainfall on the horizontal resolution during the Jakarta flood event in January-February 2007. SOLA, 7, 193-196. https://doi.org/10.2151/sola.2011-049 [↗]

25. Horinouchi, T., S. Nishizawa, C. Watanabe, A. Tomobayashi, S. Otsuka, T. Koshiro, Y.-Y. Hayashi, and GFD Dennou Club, 2010: Gfdnavi, web-based data and knowledge server software for geophysical fluid sciences, Part I: Rationales, stand-alone features, and supporting knowledge documentation linked to data. Lecture Notes in Computer Science, 6913, 93-104. https://doi.org/10.1007/978-3-642-14589-6_10 [↗]

26. Nishizawa, S., T. Horinouchi, C. Watanabe, Y. Isamoto, A. Tomobayashi, S. Otsuka, and GFD Dennou Club, 2010: Gfdnavi, web-based data and knowledge server software for geophysical fluid sciences, Part II: RESTful web services and object-oriented programming interface. Lecture Notes in Computer Science, 6193, 105-116. https://doi.org/10.1007/978-3-642-14589-6_11 [↗]

27. Otsuka, S. and S. Yoden, 2009: Temporal-spatial distribution of thin moist layers in the midtroposphere over the tropical eastern Pacific. J. Climate, 22, 5102-5114. https://doi.org/10.1175/2009JCLI2748.1 [↗]

28. Otsuka, S. and S. Yoden, 2005: Numerical experiments on the layered structures in the mid-troposphere over the equatorial Pacific. SOLA, 1, 69-72. https://doi.org/10.2151/sola.2005-019 [↗]

Refereed book chapters

1. Otsuka, S., T. Awazu, C. A. Welzbacher, R. Potthast, and T. Miyoshi, 2023: Assimilating precipitation features based on the fractions skill score: an idealized study with an intermediate AGCM. in "Numerical Weather Prediction: East Asian Perspectives", edited by S. K. Park, Springer Nature, 283-294. https://doi.org/10.1007/978-3-031-40567-9_11 [↗]

2. 三好建正・小槻峻司・寺崎康児・本田匠・前島康光・大塚成徳・黒澤賢太, 2022: 理化学研究所の各種システムによる予測実験. 気象研究ノート第246号 「2018年夏の異常気象 ―記録的な広域豪雨と猛暑―」, 日本気象学会, 117-139.

3. Miyoshi, T., K. Terasaki, S. Kotsuki, S. Otsuka, Y.-W. Chen, K. Kanemaru, K. Okamoto, K. Kondo, G.-Y. Lien, H. Yashiro, H. Tomita, M. Satoh, and E. Kalnay, 2021: Enhancing data assimilation of GPM observations. in "Precipitation Science", edited by Michaelides, S., Elsevier, 787-804. https://www.elsevier.com/books/precipitation-science/michaelides/978-0-12-822973-6 [↗]

4. Miyoshi, T., S. Kotsuki, K. Terasaki, S. Otsuka, G.-Y. Lien, H. Yashiro, H. Tomita, M. Satoh, and E. Kalnay, 2020: Precipitation Ensemble Data Assimilation in NWP Models. in "Satellite Precipitation Measurement", Advances in Global Change Research, Vol. 69, edited by Levizzani, V., C. Kidd, D. Kirschbaum, C. Kummerow, K. Nakamura, and F. Turk, Springer, Cham. https://doi.org/10.1007/978-3-030-35798-6_25 [↗]

5. Yoden, S., S. Otsuka, N. J. Trilaksono, and T. W. Hadi, 2017: Recent progress in research on the Maritime Continent monsoon. in "The Global Monsoon System: Research and Forecast (3rd Edition)", World Scientific Series on Asia-Pacific Weather and Climate: Vol. 9, edited by C.-P. Chang et al., 63-77. https://doi.org/doi:10.1142/9789813200913_0006 [↗]

Other papers

1. 大塚成徳・余田成男, 2010: アンサンブル予報に基づく気象災害軽減のための判断支援システムの試作. 京都大学防災研究所年報, 53B, 377-382. https://www.dpri.kyoto-u.ac.jp/nenpo/no53/ronbunB/a53b0p42.pdf [↗]

2. Thalongsengchanh, P., S. Otsuka, and S. Yoden, 2008: A downscale experiment on numerical weather prediction in Indochina region with a mesoscale model. Annuals of Disas. Prev. Res. Inst., Kyoto Univ., 51B, 457-464. https://www.dpri.kyoto-u.ac.jp/nenpo/no51/ronbunB/a51b0p48.pdf [↗]

3. Thalongsengchanh, P., T. W. Hadi, M. Niwano, S. Otsuka, and S. Yoden, 2006: An experimental numerical weather prediction in Indochina region with a meso-scale model. Annuals of Disas. Prev. Res. Inst., Kyoto Univ., 49B, 459-465. https://www.dpri.kyoto-u.ac.jp/dat/nenpo/no49/49b0/a49b0p49.pdf [↗]

4. 大塚成徳・余田成男, 2005: 領域大気モデルを用いた熱帯対流圏中層の層状構造に関する数値実験. 京都大学防災研究所年報, 48B, 467-474. https://www.dpri.kyoto-u.ac.jp/dat/nenpo/no48/48b0/a48b0p49.pdf [↗]

Reports

1. 川村隆一・大塚成徳・吉田聡・柳瀬亘・森正人・小坂優・竹村和人・榎本剛, 2015: 研究集会「急発達する低気圧の実態・予測・災害軽減に関する研究集会」の報告. 天気, 62, 533-538. https://www.metsoc.jp/tenki/pdf/2015/2015_06_0045.pdf [↗]

2. 富田浩文・梶川義幸・宮本佳明・吉村裕正・榎本剛・北村祐二・佐藤陽祐・清木達也・大塚成徳・柳瀬亘, 2015: 第３回非静力学モデルに関する国際ワークショップ・第６回全球雲解像モデリングワークショップの開催報告. 天気, 62, 57-62. https://www.metsoc.jp/tenki/pdf/2015/2015_01_0057.pdf [↗]

3. 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. https://www.metsoc.jp/tenki/pdf/2013/2013_09_0025.pdf [↗]

4. 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. https://www.metsoc.jp/tenki/pdf/2013/2013_03_0067.pdf [↗]

5. 斉藤和雄, 黒田徹, 林修吾, 瀬古弘, 國井勝, 小司禎教, 上野充, 川畑拓矢, 余田成男, 大塚成徳, Trilaksono, N. J., 許智揚, 古関俊也, Duc, L., Xin, K. T., 黄偉健, Gouda, K. C., 2011: 東南アジア地域の気象災害軽減国際共同研究. 気象研究所技術報告, 65, 193pp. https://www.mri-jma.go.jp/Publish/Technical/DATA/VOL_65/index.html [↗]

Presentations

1. 大塚成徳: 富岳NEXTに向けた気象気候アプリケーションに関する取り組み. 富岳NEXT気象・気候分野公開研究会／第5回気象・気候計算科学研究連絡会, 東京, 2026年3月26日.

2. 三好建正・James Taylor・大塚成徳（発表者）・垂水勇太・雨宮新: スーパーコンピュータ「富岳」を用いた大阪・関西万博期間中のリアルタイムゲリラ豪雨予測実験. 第16回データ同化ワークショップ, 立川, 2026年3月13日.

3. Otsuka, S. and T. Miyoshi: Rapid-update precipitation predictions with HPC and AI. HPC For Large-Scale Weather Prediction and Climate Modelling, SupercomputingAsia 2026 / The International Conference on High Performance Computing in Asia-Pacific Region 2026, Osaka, 27 January 2026.

4. Otsuka, S. and T. Miyoshi: Global precipitation nowcasting with ConvLSTM and adversarial training. SupercomputingAsia 2026 / The International Conference on High Performance Computing in Asia-Pacific Region 2026, Osaka, 27 January 2026.

5. Otsuka, S. and T. Miyoshi: Global precipitation nowcasting using a ConvLSTM with adversarial training. RIKEN-Nagoya Univ.(Zhang - Sogabe Lab) Joint Workshop onPrediction Science, Nagoya, 22 December 2025.

6. 大塚成徳: スーパーコンピュータでゲリラ豪雨を予想できるかな？. こどもサイエンスセミナー2025, 神戸, 2025年11月30日.

7. Otsuka, S., A. Arruti, L. Vidal, J. Ruiz, P. Salio, Y. Skabar, and T. Miyoshi: Development of ensemble radar precipitation nowcasting. International workshop on hydrometeorological predictions, Kobe, 25 November 2025.

8. 大塚成徳, 三好建正: ConvLSTMと敵対的学習を用いた全球降水ナウキャスト. 第01回地球科学におけるAI応用研究ワークショップ, 金沢, 2025年10月28日.

9. Otsuka, S. and T. Miyoshi, Data-driven approaches for precipitation nowcasting. mini workshop, Buenos Aires, 30 July 2025.

10. Otsuka, S. and T. Miyoshi, Data-driven approaches for precipitation nowcasting. IMT-Atlantique and RIKEN joint Data Assimilation workshop, Brest, 26 June 2025.

11. Otsuka, S. and T. Miyoshi, Global precipitation nowcasting with ConvLSTM and adversarial training. JpGU2025, MGI27-01, invited, Chiba, 29 May 2025.

12. 大塚成徳: 「富岳」による天気予報とビッグデータ同化. 第100回関西CAE懇話会, 基調講演, 大阪, 2025年3月14日.

13. Otsuka, S., T. Miyoshi, J. Liang, M. Goodliff, G. Saliou, S. Ouala, and P. Tandeo: Toward integration of ML/NWP/DA. Super Computing Asia 2025, invited, Singapore, 12 Mar 2025.

14. Otsuka, S. and T. Miyoshi, Global precipitation nowcasting using a ConvLSTM with adversarial training. The 7th R-CCS International Symposium, Kobe, 2025/01/23.

15. Otsuka, S. and T. Miyoshi, Global precipitation nowcasting using a ConvLSTM with adversarial training. U Toyama-RIKEN Joint Workshop on Prediction Science, Toyama, 2024/12/23.

16. Otsuka, S. and T. Miyoshi, Global precipitation nowcasting with GSMaP. World Meteorological Center Beijing workshop on new technology and products, Guangzhou (hybrid), 14 November 2024.

17. 大塚成徳・三好建正: ConvLSTMと敵対的学習を用いた全球降水ナウキャスト, 日本気象学会2024年度秋季大会, B105, つくば, 2024年11月12日.

18. Otsuka, S. and T. Miyoshi, Global precipitation nowcasting using a ConvLSTM with adversarial training. ISDA2024, Kobe, 2024/10/24.

19. 大塚成徳: ゲリラ豪雨と天気予報. 三宮図書館で識る, 神戸, 2024年9月28日.

20. Otsuka, S., Application of quantitative precipitation estimates to nowcasting. PREVENIR short course on "Quantitative precipitation estimation with satellites and its applications to nowcasting", Buenos Aires, 2024/8/5.

21. Otsuka, S. and T. Miyoshi, Toward 3D precipitation nowcasting by fusing NWP DA AI : application of adversarial training. The 6th R-CCS International Symposium, poster, Kobe, 2024/1/29.

22. 大塚成徳: 深層学習を用いた降水ナウキャスト. 第9回メソ気象セミナー, 招待, 高知, 2023年9月23日.

23. Otsuka, S. and T. Miyoshi, Toward 3D precipitation nowcasting by fusing NWP-DA-AI: application of adversarial training. The 6th international workshop on nonhydrostatic models, Sapporo, 31 August 2023.

24. 大塚成徳: 最先端のスーパーコンピュータを用いた天気予報研究. 日本気象学会 第57回夏季大学 新しい気象学2023, オンライン, 2023年8月5日.

25. Otsuka, S. and T. Miyoshi: Development of precipitation nowcasting systems at RIKEN and Japan-Argentina cooperation project. Bi-annual meeting of the Nowcasting and Mesoscale Research Working Group, invited, Seoul, 26 June 2023.

26. 大塚 成徳, 三好 建正, 数値天気予報・データ同化・AIの融合による３D降水ナウキャストに向けて：敵対的学習の適用. JpGU2023, AAS08-P02, 千葉, 2023/5/22.

27. 大塚成徳・前島康光・三好建正: 深層学習と数値天気予報の融合による降水ナウキャストの試み. 第13回データ同化ワークショップ, 神戸, 2023年2月16日.

28. 大塚成徳: トンガの海底火山噴火に伴うラム波伝播の静止気象衛星画像による可視化, 日本気象学会2022年度秋季大会, B404, 札幌, 2022年10月27日.

29. Otsuka, S. and T. Miyoshi, Algorithm development for the 3D precipitation nowcasting with deep learning. Sea Tech Week 2022, Brest (via online), 26 September 2022.

30. 大塚成徳: トンガの海底火山の噴火に伴うラム波伝播の静止気象衛星画像による可視化, GFDオンラインセミナー, オンライン, 2022年9月13日.

31. Otsuka, S.: Lamb wave propagation from the eruption of Hunga Tonga-Hunga Ha'apai visualized by Himawari-8 infrared images. AOGS2022, IG29-A005, online, 2022/8/1.

32. Otsuka, S.: Lamb wave propagation from the eruption of Hunga Tonga-Hunga Ha'apai visualized by Himawari-8 infrared images. JpGU2022, ACG38-P01, online, 2022/5/31.

33. Otsuka, S.: Relationship between the Lamb wave propagation and the satellite-observed brightness temperature variance: a simple theoretical estimate. JpGU2022, U09-P17, online, 2022/5/30.

34. Otsuka, S. and T. Miyoshi: Algorithm development for the 3D precipitation nowcasting with deep learning. The 4th R-CCS International Symposium, poster, online, 2022/2/7.

35. 大塚成徳, 三好建正, 深層学習による3D降水ナウキャストの高精度化に向けた開発. 日本気象学会2021年度秋季大会, WF-25, online, 2021/12/3.

36. Otsuka, S., Y. Maejima, P. Tandeo, and T. Miyoshi, Development of an integrated NWP-DA-AI system for 30-second-update 3D precipitation prediction. JpGU2021, AAS04-P03, online, 2021/6/4.

37. Otsuka, S., Y. Maejima, P. Tandeo, and T. Miyoshi: Toward an integrated NWP-DA-AI system for precipitation prediction, The 3rd R-CCS International Symposium, online, 2021/2/15.

38. 大塚成徳, 前島康光, Pierre Tandeo, 三好建正, 深層学習と数値天気予報の融合による降水予測に向けて. 日本気象学会2020年度秋季大会, WF-22, online, 2020/10/30.

39. Otsuka, S., Y. Maejima, P. Tandeo, and T. Miyoshi, Toward an integrated NWP-DA-AI system for 30-second-update precipitation prediction. ECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction, online, 2020/10/05.

40. Otsuka, S., Y. Maejima, P. Tandeo, and T. Miyoshi, Toward an integrated NWP-DA-AI system for precipitation prediction, JpGU-AGU Joint Meeting 2020, online, 2020/7/12.

41. Otsuka, S., T. Awazu, and T. Miyoshi, Verification of precipitation forecast by pattern recognition. WCRP/SPARC SATIO-TCS joint workshop on Stratosphere-Troposphere Dynamical Coupling in the Tropics, Kyoto, 22 February 2020.

42. Otsuka, S., M. Ohhigashi, V.-P. Huynh, P. Tandeo, and T. Miyoshi, A deep-learning approach to three-dimensional precipitation nowcasting, The 2nd R-CCS International Symposium, Kobe, 17 February 2020.

43. Otsuka, S., Y. Maejima, and T. Miyoshi, Toward hybrid NWP-AI system for precipitation nowcasting, 2nd IMT Atlantique & RIKEN Joint WS, Brest, 10 February 2020.

44. 大塚成徳・三好建正: 簡単モデルを用いたデータ同化, CREST「ビッグデータ応用」第7回若手研究者合宿, 葉山, 2020年1月16日.

45. Miyoshi, T., S. Otsuka, H. Tomita, B. Gerofi, and S. Satoh, Big Data Assimilation and AI Creating New Development in Real-time Weather Prediction. CREST International Symposium on Big Data Application, Tokyo, 13 January 2020.

46. Otsuka, S. and 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, invited, Daegu, 5 Dec 2019.

47. Otsuka, S., M. Ohhigashi, and T. Miyoshi: Three-dimensional precipitation nowcasting with the phased-array weather radar, 2019 6th KNU CARE Workshop on Phase array radar and Nowcasting, invited, Daegu, 5 Dec 2019.

48. 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, 東京, 2019年11月29日.

49. 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, 神戸, 2019年11月5日.

50. 大塚成徳, Viet Phi Huynh, 大東真利茂, Pierre Tandeo, 三好建正, 深層学習による三次元降水ナウキャスト手法の検討, 日本気象学会2019年度秋季大会, B352, 福岡, 2019年10月30日.

51. Otsuka, S., M. Ohhigashi, V. P. Huynh, P. Tandeo, and T. Miyoshi, A deep-learning approach to three-dimensional precipitation nowcasting. 39th International Conference on Radar Meteorology, Poster1-87, Nara, 16 Sep 2019.

52. Awazu, T., S. Otsuka, and T. Miyoshi: Assimilating fractions of precipitation area: an idealized study with an intermediate AGCM. The 1st R-CCS International Symposium, Kobe, 18 Feb 2019.

53. Awazu, T., S. Otsuka, and T. Miyoshi: Assimilating fractions of precipitation area: an idealized study with an intermediate AGCM. ISDA2019, Kobe, 23 January 2019.

54. Otsuka, S., Three-dimensional precipitation nowcasting with the phased-array weather radar, The 5th CREST "BigData Application" Camp for Young Researchers, Hayama, Kanagawa, 16 January 2019.

55. Otsuka, S., M. Ohhigashi, Y. Ishikawa, S. Satoh, and T. Miyoshi, Precipitation nowcasting with Phased-Array Weather Radar: a case of July 2018 record-breaking rainfall in Western Japan, NHM2018, Tokyo, 14 Nov 2018.

56. 大塚成徳・大東真利茂・三好建正・石川裕・佐藤晋介・牛尾知雄・小池佳奈, フェーズドアレイ気象レーダを用いた三次元降水ナウキャストの精度評価, 日本気象学会2018年度秋季大会, P323, 仙台, 2018年10月31日.

57. Otsuka, S. and T. Miyoshi: Applying data assimilation to precipitation nowcasting, AOGS2018, AS13-D2-AM1-326A-001, Honolulu, 5 June 2018.

58. 大塚成徳, Applying data assimilation to precipitation nowcasting, CREST「ビッグデータ応用」第4回若手研究者合宿, 神奈川県葉山町, 2018年6月3日.

59. Otsuka, S. and T. Miyoshi: Applying data assimilation to precipitation nowcasting, JpGU2018, MGI22-P04, Chiba, 20 May 2018.

60. 大塚成徳, ナウキャストと予測可能性, 第2回理研・気象庁データ同化研究会, 東京, 2018年4月26日.

61. 大塚成徳, Gfdnaviの実装. 地球流体データ解析・数値計算ワークショップ, 京都, 2018年3月23日.

62. Otsuka, S., S. Kotsuki, M. Ohhigashi, Y. Ishikawa, T. Miyoshi, S. Satoh, and T. Ushio, RIKEN precipitation nowcasting systems, The 8th AICS International Symposium, Kobe, 7 Feb. 2018.

63. 大塚成徳、フェーズドアレイ気象レーダを用いた3次元降水ナウキャスト、AIP若手研究交流会、東京、2017年12月19日.

64. Otsuka, S., N. J. Trilaksono, and S. Yoden, Comparing observed and simulated size distributions of tropical convective systems. Joint SPARC Dynamics & Observations Workshop, Kyoto, 10 October 2017.

65. 大塚成徳・小槻峻司・近藤圭一・大東真利茂・石川裕・三好建正・佐藤晋介・牛尾知雄、データ同化を適用したリアルタイム降水ナウキャストシステム、第2回理研データ同化ワークショップ、神戸、2017年9月25日.

66. 大塚成徳, ゲリラ豪雨リアルタイム予測に向けて, CREST若手研究者合宿研究会, 2017年6月3日.

67. 大塚成徳・三好建正・大東真利茂・佐藤晋介・石川裕: フェーズドアレイ気象レーダを用いた三次元降水補外予測のリアルタイム運用実験, 日本気象学会2017年度春季大会, C155, 東京, 2017年5月25日.

68. Otsuka, S., S. Kotsuki, and T. Miyoshi: GSMaP RIKEN Nowcast (GSMaP_RNC): an overview, JpGU-AGU Joint Meeting 2017, ACG46-P12, Makuhari, 20 May 2017.

69. 大塚成徳: 「ビッグデータ同化：未来の天気予報へ」（招待）, 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.

70. Otsuka, S., S. Kotsuki, and T. Miyoshi: Applying data assimilation to three-dimensional precipitation nowcasting with phased-array weather radar, RISDA2017, Kobe, 28 Feb 2017.

71. Otsuka, S., S. Kotsuki, and T. Miyoshi, Applying data assimilation to three-dimensional precipitation nowcasting with phased-array weather radar, The 7th AICS International Symposium, Kobe, 23-24 Feb 2017.

72. Otsuka, S. and T. Miyoshi: Applying data assimilation to three-dimensional precipitation nowcasting with phased-array weather radar, AMS 97th annual meeting, Seattle, 26 January 2017.

73. 大塚成徳・三好建正: フェーズドアレイ気象レーダを用いた三次元降水補外予測へのデータ同化の適用. 日本気象学会2016年度秋季大会, B160, 名古屋, 2016年10月26日.

74. Otsuka, S., S. Kotsuki, and T. Miyoshi: Space-time extrapolation of precipitation with data assimilation, ISDA2016, Reading, UK, 20 July 2016.

75. Otsuka, S. and T. Miyoshi: Convective-scale breeding experiments in WRF simulations at a 100-m resolution, JpGU, AAS02-P04, Makuhari, 22 May 2016.

76. 大塚成徳・三好建正: フェーズドアレイ気象レーダを用いた三次元降水補外予測の実時間実行に向けた検討. 日本気象学会2016年度春季大会, C158, 東京, 2016年5月18日.

77. Otsuka, S., S. Kotsuki, and T. Miyoshi: Global precipitation nowcasting by spatiotemporal extrapolation with data assimilation, The 6th AICS International Symposium, Kobe, 22-23 Feb 2016.

78. 大塚成徳・三好建正：積雲対流の予測可能性に関する100m メッシュのブリーディング実験, 第17回非静力学モデルに関するワークショップ, 那覇, 2015年12月2日.

79. 大塚成徳・三好建正: データ同化手法を用いたGSMaP降水データの時空間補外実験. 日本気象学会2015年度秋季大会, D157, 京都, 2015年10月28日.

80. Otsuka, S., S. Kotsuki, and T. Miyoshi: Global precipitation nowcasting by spatiotemporal extrapolation with data assimilation, AICS-UMD DA conf, College Park MD, 7 Oct 2015.

81. Otsuka, S., G. Tuerhong, J. J. Ruiz, S. Satoh, T. Ushio and T. Miyoshi: Three-dimensional precipitation nowcasting with rapid and dense phased array weather radar observations, AMS 37th Conference on Radar Meteorology, 12A.5, Norman, 17 Sep 2015.

82. 大塚成徳・G. Tuerhong・菊地亮太・北野慈和・谷口雄亮・J. J. Ruiz・三好建正: フェーズドアレイ気象レーダを用いた三次元降水時間補外実験. 日本気象学会2015年度春季大会, C403, つくば, 2015年5月24日.

83. Otsuka, S. and T. Miyoshi, Convective-scale predictability in numerical weather prediction at a 100-m resolution, The 5th AICS International Symposium, Kobe, 8-9 Dec 2014.

84. 大塚成徳・三好建正: 「100ｍ解像度の領域モデルによる積雲対流のブリーディング実験」, 急発達する低気圧の実態・予測・災害軽減に関する研究集会, 宇治, 2014年11月17日.

85. 大塚成徳・三好建正: 100ｍ解像度の領域モデルによる積雲対流のブリーディング実験. 日本気象学会2014年度秋季大会, D157, 福岡, 2014年10月21日.

86. Otsuka, S. and T. Miyoshi: Convective-scale predictability in WRF simulations at a 100-m resolution, NHM2014, Kobe, 25 Sep 2014.

87. Otsuka, S. and T. Miyoshi: A Bayesian Optimization of the Ensemble Sizes in Multi-model Ensemble Kalman Filter. AOGS2014, AS50-D4-PM2-P-015, Sapporo, 31 Jul 2014.

88. Otsuka, S., M. Takeshita, and S. Yoden: Diagnosis on gravity waves and their role in extratropical tropopause inversion layers simulated by a regional model. AOGS2014, AS19-D3-PM2-P-038, Sapporo, 30 Jul 2014.

89. Otsuka, S. and T. Miyoshi, A Bayesian optimization approach to multi-model ensemble Kalman filter, The 6th EnKF Workshop, Buffalo NY, 18th May 2014.

90. Otsuka, S. and T. Miyoshi, A Bayesian optimization approach to multi-model ensemble Kalman filter, Mathematical Science on Big Data Assimilation in Meteorology, 20th Mar 2014.

91. Otsuka, S. and T. Miyoshi: Bayesian optimization of multi-model ensemble data assimilation for a low-order model. AMS 94th Annual Meeting, 13.5, Atlanta, 6 Feb 2014.

92. Otsuka, S. and T. Miyoshi, A Bayesian optimization approach to multi-model ensemble data assimilation. The 4th AICS Symposium, Kobe, 2nd Dec 2013.

93. Otsuka, S., N. J. Trilaksono, and S. Yoden: Statistics on Convective Systems during the Jakarta Flood Event in 2007 Simulated byJMA-NHM, GCOE-ARS Final Symposium 2013, Uji, S2-7, 1 Dec 2013.

94. 大塚成徳・三好建正：ベイズ推定を用いた低次元モデルによる動的マルチモデルEnKF同化実験. 日本気象学会2013年度秋季大会, P313, 仙台, 2013年11月21日.

95. Otsuka, S. and T. Miyoshi, A Bayesian optimization approach to multi-model ensemble data assimilation. RIMS International Conference on Theoretical Aspects of Variability and Predictability in Weather and Climate Systems, Kyoto, 25th Oct 2013.

96. 大塚成徳・三好建正: 離散ベイズフィルタを用いたマルチモデルアンサンブルデータ同化手法. 日本気象学会2013年度春季大会, P232, 東京, 2013年5月16日.

97. 大塚成徳・N. J. Trilaksono・余田成男: 気象庁非静力学モデルにより再現した2007年ジャカルタ豪雨期間中の降水系面積頻度分布に関する解析. 日本気象学会2013年度春季大会, P107, 東京, 2013年5月15日.

98. 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, invited, Kyoto, 2 Apr 2013.

99. Otsuka, S., Trilaksono, N. J., and Yoden, S.: Statistics on Convections during the Jakarta Flood Event in 2007 Simulated by JMA-NHM. The 3rd AICS International Symposium, Kobe, 28th Feb 2013.

100. Otsuka, S., Trilaksono, N. J., and Yoden, S.: Statistical analyses on tropical convections during the Jakarta Flood Event in 2007 Simulated by JMA-NHM, NHM2012, Sendai, 28 Nov 2012.

101. Otsuka, S., N. J. Trilaksono, and S. Yoden: Statistical analyses on cumulus convections during the Jakarta Flood event in 2007 simulated by JMA-NHM. AOGS-AGU (WPGM) 2012, AS14-A012, Singapore, 15 Aug 2012.

102. Takeshita, M., S. Otsuka, and S. Yoden: Numerical simulation on an extratropical cyclone and tropopause inversion layer with a regional model. AOGS-AGU (WPGM) 2012, AS15-D1-AM2-Pis2-013, Singapore, 12 Aug 2012.

103. 大塚成徳・西澤誠也・堀之内武・電脳davisプロジェクト: 地球流体データサーバ構築ツールGfdnavi: 新しい解析・可視化UI. 日本気象学会2012年度春季大会, A417, つくば, 2012年5月29日.

104. 竹下愛実・大塚成徳・余田成男：「メソモデルで再現された温帯低気圧と対流圏界面逆転層に関する解析」，日本地球惑星科学連合2012年大会，AAS22-P16，幕張，2012年5月21日.

105. Otsuka, S., Trilaksono, N. J., Yoden, S., Saito, K., and Hayashi, S.: A downscaling experiment on heavy rainfall during the Jakarta Flood event in January-February 2007 with JMA-NHM. the 2nd International Symposium on Earth-science Challenges, ID 34, Oklahoma, 14 Sep 2011.

106. Yoden, S., S. Otsuka, and M. Takeshita: A numerical study on extratropical tropopause inversion layer with JMA non-hydrostatic model. AOGS, AS02-D3-PM1-105-004, Taipei, 10 Aug 2011.

107. Otsuka, S., N. J. Trilaksono, S. Yoden, K. Saito, and S. Hayashi: A downscale experiment on the heavy precipitation during the Jakarta flood event in January-February 2007. IUGG, #3947, Melbourne, 2 Jul 2011.

108. Otsuka, S. and S. Yoden: Numerical experiments on formation processes of thin moist layers in the tropical mid-troposphere over eastern Pacific. AMS 91st Annual Meeting, 872, Seattle, 27 Jan 2011.

109. Yoden, S., S. Otsuka, and M. Takeshita: Numerical experiments on extratropical tropopause inversion layer using a mesoscale model. AMS 91st Annual Meeting, 5.3, Seattle, 26 Jan 2011.

110. Trilaksono, N. J., S. Otsuka, and S. Yoden: Numerical study of heavy rainfall during Jakarta flood event 1 February 2007. 日本気象学会2010年度秋季大会, C303, 京都, 2010年10月29日.

111. Otsuka, S. and S. Yoden: Numerical experiments on formation processes of thin moist layers in the tropical mid-troposphere over ocean. WPGM, A21B-121, Taipei, 22 Jun 2010.

112. 大塚成徳・余田成男: 熱帯対流圏中層に見られる湿潤層状構造の形成過程に関する数値実験. 日本気象学会2010年度春季大会, D163, 東京, 2010年5月23日.

113. Otsuka, S. and S. Yoden: Numerical experiments on thin moist layers in the tropical mid-troposphere. Workshop on Dynamical Downscaling in Japan, invited, Tsukuba, 26 Jan 2010.

114. Otsuka, S. and S. Yoden: Decision support system for prevention and mitigation of meteorological disasters based on ensemble NWP data. International Symposium on Radar and Modeling Studies of the Atmosphere, Po-30, Uji, 10th-11th Nov 2009.

115. Otsuka, S. and S. Yoden: Numerical experiments on formation processes of thin moist layers over a tropical ocean. The second international workshop on prevention and mitigation of meteorological disasters in Southeast Asia, Bandung(Indonesia), 2nd Mar 2009.

116. Otsuka, S. and S. Yoden: Numerical experiments on thin moist layers in the tropical mid-troposphere. AOGS, AS26-D5-PM1-110-014, Busan, 20 Jun 2008.

117. Thalongsengchanh, P., S. Otsuka, and S. Yoden: A down-scale experiment on numerical weather prediction in Indochina region (Lao PDR). AOGS, AS06-D1-AM1-110-002, Busan, 16 Jun 2008.

118. 大塚成徳・余田成男: 熱帯対流圏中層に見られる湿潤層状構造の時空間分布に関する数値実験. 日本気象学会2008年度春季大会, C413, 横浜, 2008年5月21日.

119. 大塚成徳・余田成男: 熱帯対流圏中層に見られる層状構造の季節変化に関する数値実験. 日本気象学会2007年度春季大会, D464, 東京, 2007年5月18日.

120. Otsuka, S. and S. Yoden: Numerical Experiments on Time-Spatial Dependence of the Layered Structures in the Tropical Mid-Troposphere. International Symposium on Coupling Processes in the Equatorial Atmosphere, 3-P5, Kyoto, 22 Mar 2007.

121. Otsuka, S. and S. Yoden: Numerical Experiments on the Layered Structures in the Mid-Troposphere over Equatorial Pacific. The 4th KAGI21 International Symposium, J1a-05, Kyoto, 3 Dec 2006.

122. 大塚成徳・余田成男: 熱帯対流圏中層の水平層状構造に関する数値実験. 日本気象学会2005年度秋季大会, A213, 神戸, 2005年11月21日.

123. 大塚成徳・余田成男: 熱帯対流圏中層の水平層状構造に関する数値実験. 日本気象学会2004年度秋季大会, C304, 福岡, 2004年10月8日.

Data for analyzing the Lamb waves from the 2022 Hunga Tonga-Hunga Haʻapai eruption

• Himawari-8: https://doi.org/10.5281/zenodo.5881416 [↗]

• Global: https://doi.org/10.5281/zenodo.6592058 [↗]