論文/Paper

• Maejima, Y., T. Kawabata, H. Seko and T. Miyoshi, 2022: Observing system simulation experiments of a rich phased array weather radar network covering Kyushu for the July 2020 heavy rainfall event. SOLA, 2022, Vol. 18, p.25-32, https://doi.org/10.2151/sola.2022-005, 2022/3/7
• Miyoshi, T. and Q. Sun, Control Simulation Experiment with the Lorenz's Butterfly Attractor. Nonlin. Processes Geophysics, 29, 133-139, 2022、https://npg.copernicus.org/articles/29/133/2022/
• (Proceeding) Takino, S., Nakada, Y., Tsukada, T., Honda, T., Miyoshi, T., Ohigashi, M., Kotsuki, S.., Development of an advanced operation system for hydroelectric dam using machine learning, ICOLD 27th congress, Marseille, France, 2022/5/25
• T. Honda, 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, Development of the Real-Time 30-s-Update Big Data Assimilation System for Convective Rainfall Prediction with a Phased Array Weather Radar, Journal of Advances in Modeling Earth Systems, https://doi.org/10.1029/2021MS002823
• T. Honda, A. Amemiya, S. Otsuka, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, and T. Miyoshi, Advantage of 30-s-Updating Numerical Weather Prediction with a Phased-Array Weather Radar Over Operational Nowcast for a Convective Precipitation System, Geophysical Research Letters, https://doi.org/10.1029/2021GL096927
• 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
• Yukiko Fujisawa, Shin-ya Murakami, Norihiko Sugimoto, Masahiro Takagi, Takeshi Imamura, Takeshi Horinouchi, George L. Hashimoto, Masaki Ishiwatari, Takeshi Enomoto, Takemasa Miyoshi, Hiroki Kashimura & Yoshi-Yuki Hayashi, The first assimilation of Akatsuki single-layer winds and its validation with Venusian atmospheric waves excited by solar heating. Sci Rep 12, 14577 (2022). https://doi.org/10.1038/s41598-022-18634-6
• Chang Sun, Serge Richard, Takemasa Miyoshi, and Naohiro Tsuzu, Analysis of COVID-19 spread in Tokyo through an agent-based model with data assimilation. Jornal of Clinical Medicine, 11(9), 2401. doi.org/10.3390/jcm11092401
• Kotsuki, S., Miyoshi, T., Kondo K., and Potthast R. 2022: A Local Particle Filter and Its Gaussian Mixture Extension Implemented with Minor Modifications to the LETKF. Geosci. Model Dev., 15, 8325-8348. doi:10.5194/gmd-2022-69
• Ohishi, S., T. Hihara, H. Aiki, J. Ishizaka, Y. Miyazawa, M. Kachi, and T. Miyoshi, 2022: An ensemble Kalman filter system with the Stony Brook Parallel Ocean Model v1.0, Geosci. Model Dev., Vol.15, issue 22, 8395-8410, https://doi.org/10.5194/gmd-15-8395-2022
• Ohishi, S., T. Miyoshi, and M. Kachi, 2022: An ensemble Kalman filter-based ocean data assimilation system improved by adaptive observation error inflation (AOEI), Geosci. Model Dev., 15, 9057-9073, doi: 10.5194/gmd-15-9057-2022
• Watanabe K., N. Sakamoto, J. Nonaka and Y. Maejima, 2020: Angular-based Edge Bundled Parallel Coordinates Plot for the Visual Analysis of Large Ensemble Simulation Data, 2022 IEEE 12th Symposium on Large Data Analysis and Visualization (LDAV). DOI: 10.1109/LDAV57265.2022.9966393
• K. Furukawa and T. Kashiwabara, Justification of the hydrostatic approximation of the primitive equations in anisotropic space L∞HLqx3(T3), ADVANCES IN MATHEMATICAL SCIENCES AND APPLICATIONS, vol.31(2022), pp.45-71
• T. Sakajo and Vikas S. Krishnamurthy, Quantized point vortex equilibria in a one-way interaction model with a Liouville-type background vorticity on a curved torus, J. Math. Phys. vol.63 063101 (2022). https://doi.org/10.1063/5.0062659
• T. Sakajo, S. Ohishi and T. Uda, Identification of Kuroshio meanderings south of Japan via a topological data analysis for sea surface height, Journal of Oceanography (2022), doi:10.1007/s10872-022-00656-3
• T. Sakajo and T. Yokoyama, Discrete representations of orbit structures of flows for topological data analysis, Discrete Mathematics, Algorithms and Applications 2250143 (2022) (doi:10.1142/S1793830922501439)
• 坪井 俊「3次元格子のディリクレ基本領域について」武蔵野大学数理工学センター紀要=The bulletin of Musashino University Musashino Center of Mathematical Engineering,(7),46-62, 2022年
• Tsuyoshi Ichimura, Kohei Fujita, Kentaro Koyama, Ryota Kusakabe, Yuma Kikuchi, Takane Hori, Muneo Hori, Lalith Maddegedara, Noriyuki Ohi, Tatsuo Nishiki, and Hikaru Inoue, Kazuo Minami, Seiya Nishizawa, Miwako Tsuji, and Naonori Ueda, 152K-computer-node parallel scalable implicit solver for dynamic nonlinear earthquake simulation, Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, HPC Asia 2022, https://doi.org/10.1145/3492805.3492814 (Best Paper)
• Mulia, I. E., Heidarzadeh, M., and Satake, K., 2022. Effects of depth of fault slip and continental shelf geometry on the generation of anomalously long-period tsunami by the July 2020 Mw 7.8 Shumagin (Alaska) earthquake. Geophysical Research Letters. 49, e2021GL094937. https://doi.org/10.1029/2021GL094937
• Satake, K., Ishibe, T., Murotani, S., Mulia, I. E., and Gusman, A. R., and 2022. Effects of uncertainty in fault parameters on deterministic tsunami hazard assessment: examples for active faults along the eastern margin of the Sea of Japan. Earth, Planets and Space, 74, 36. https://doi.org/10.1186/s40623-022-01594-6
• Heidarzadeh, M. and Mulia, I. E., 2022. A new dual earthquake and submarine landslide source models for the 28 September 2018 Palu (Sulawesi), Indonesia tsunami. Coastal Engineering Journal. https://www.tandfonline.com/doi/full/10.1080/21664250.2022.2122293
• Kohei Fujita, Sota Murakami, Tsuyoshi Ichimura, Takane Hori, Muneo Hori, Lalith Maddegedara, and Naonori Ueda, Scalable Finite-Element Viscoelastic Crustal Deformation Analysis Accelerated with Data-Driven Method, ScalAH22: 13th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems (in press)
• Mulia, I. E., Ueda, N., Miyoshi, T., Gusman, A. R., Satake, K., Machine learning-based tsunami inundation prediction derived from offshore observations. Nature Communications 13, 5489 (2022), 2022 Sep. https://doi.org/10.1038/s41467-022-33253-5
• Mulia, I. E., Gusman, A. R., Heidarzadeh, M., and Satake, K., 2022. Sensitivity of tsunami data to the up-dip extent of the July 2021 Mw 8.2 Alaska earthquake. Seismological Research Letters. 93 (4): 1992-2003. https://doi.org/10.1785/0220210359
• H.Hachiya, K. Nagayoshi, A. Iwasaki, T. Maeda, N. Ueda, and H. Fujiwara, Position-dependent partial convolutions for supervised spatial interpolation, Proceedings of The 14th Asian Conference on Machine Learning (ACML2022)
• Sueki, K., S. Nishizawa, T. Yamaura, and H. Tomita: "Precision and convergence speed of the ensemble Kalman filter-based parameter estimation: setting parameter uncertainty for reliable and efficient estimation", Progress in Earth and Planetary Science 9, Article number: 47, 2022. https://doi.org/10.1186/s40645-022-00504-4
• Miyamoto, H., Asano, F., Ishizawa, K., Suda, W., Miyamoto, H., Tsuji, N., Matsuura, M., Tsuboi, A., Ishii, C., Nakaguma, T., Shindo, C., Kato, T., Kurotani, A., Shima, H., Moriya, S., Hattori, M., Kodama, H., Ohno, H. and Kikuchi, J. "A potential network structure of symbiotic bacteria involved in carbon and nitrogen metabolism of wood-utilizing insect larvae" Sci. Total Environ. 836, 155520 (2022). https://doi.org/10.1016/j.scitotenv.2022.155520
• Shima, H., Sato, Y., Sakata, K., Asakura, T., Kikuchi, J. "Identifying correlation among qualitative non-numeric parameters in natural fish microbe dataset using machine learning" App. Sci. 12, 5927 (2022). https://doi.org/10.3390/app12125927
• Shima, H., Murata, I., Wei, F., Sakata, K. and Kikuchi, J. "Identification of salmoniformes aquaculture conditions to increase the creatine and anserine levels using multiomics dataset and nonnumerical information" Frontiers in Microbiology, October (2022). https://doi.org/10.3389/fmicb.2022.991819
• Yokoyama, D., Suzuki, S., Asakura, T. and Kikuchi, J. "Chemometric analysis of NMR spectra and machine learning to investigate membrane fouling" ACS Omega 7, 12654-12660 (2022). https://doi.org/10.1021/acsomega.1c06891
• Yokoyama, D., Suzuki, S., Asakura, T. and Kikuchi, J. "Microbiome and metabolome analyses in different closed-circulation aquarium systems and their network visualization" ACS Omega 7, 30399-30404 (2022). https://doi.org/10.1021/acsomega.2c03701
• Liu, H., Dai, C., Yu, H., Guo, Q., Li, J., Hao, A., Kikuchi, J. and Zhao, M. "Dynamics of a stochastic phytoplankton-toxic phytoplankton-zooplankton system under regime switching" Math. Meth. Appl. Sci. 45(16), 9769-9786 (2022). https://doi.org/10.1002/mma.8334
• Liu, H., Dai, C., Yu, H., Guo, Q., Li, J., Hao, A., Kikuchi, J. and Zhao, M. "Dynamics of a stochastic non-autonomous phytoplankton-zooplankton system involving toxin-producing phytoplankton and impulsive perturbations" Mathematics and Computers in Simulation 203, 368-386 (2022). https://doi.org/10.1016/j.matcom.2022.06.012
• Yukari Sahoyama, Fumiaki Hamazato, Manabu Shiozawa, Tohru Nakagawa, Wataru Suda, Yusuke Ogata, Tsuyoshi Hachiya, Eiryo Kawakami, Masahira Hattori. Multiple nutritional and gut microbial factors associated with allergic rhinitis: the Hitachi Health Study. Sci Rep. 2022 Mar 1;12(1):3359. doi: 10.1038/s41598-022-07398-8. PMID: 35233003
• Teruki Dainichi, Yuri Nakano, Hiromi Doi, Satoshi Nakamizo, Saeko Nakajima, Reiko Matsumoto, Thomas Farkas, Pui Mun Wong, Vipin Narang, Ricardo Moreno Traspas, Eiryo Kawakami, Emma Guttman-Yassky, Oliver Dreesen, Thomas Litman, Bruno Reversade, Kenji Kabashima. C10orf99/GPR15L Regulates Proinflammatory Response of Keratinocytes and Barrier Formation of the Skin. Front Immunol. 2022 Feb 22;13:825032. doi: 10.3389/fimmu.2022.825032. PMID: 35273606
• Shinya Sonobe, Tetsuo Ishikawa, Kuniyasu Niizuma, Eiryo Kawakami, Takuya Ueda, Eichi Takaya, Carlos Makoto Miyauchi, Junya Iwazaki, Ryuzaburo Kochi, Toshiki Endo, Arun Shastry, Vijayananda Jagannatha, Ajay Seth, Atsuhiro Nakagawa, Masahiro Yoshida, Teiji Tominaga. Development and validation of machine learning prediction model for post-rehabilitation functional outcome after intracerebral hemorrhage. Interdisciplinary Neurosurgery Volume 29, September 2022, 101560. doi:10.1016/j.inat.2022.101560
• Daisuke Hiraoka, Tomohiko Inui, Eiryo Kawakami, Megumi Oya, Ayumu Tsuji, Koya Honma, Yohei Kawasaki, Yoshihito Ozawa, Yuki Shiko, Hideki Ueda, Hiroki Kohno, Kaoru Matsuura, Michiko Watanabe, Yasunori Yakita, Goro Matsumiya. Diagnosis of Atrial Fibrillation Using Machine Learning With Wearable Devices After Cardiac Surgery: Algorithm Development Study. JMIR Form Res. 2022 Aug 1;6(8):e35396. doi: 10.2196/35396. PMID: 35916709
• Shinya Iwase, Taka-Aki Nakada, Tadanaga Shimada, Takehiko Oami, Takashi Shimazui, Nozomi Takahashi, Jun Yamabe, Yasuo Yamao, Eiryo Kawakami. Prediction algorithm for ICU mortality and length of stay using machine learning. Sci Rep. 2022 Jul 28;12(1):12912. doi: 10.1038/s41598-022-17091-5. PMID: 35902633
• Junpei Fujii, Shotaro Aoyama, Taro Tezuka, Naomi Kobayashi, Eiryo Kawakami, Yutaka Inaba. Prediction of Change in Pelvic Tilt After Total Hip Arthroplasty Using Machine Learning. J Arthroplasty. 2022 Jul 2;S0883-5403(22)00682-9. doi: 10.1016/j.arth.2022.06.020. PMID: 35788030
• Ari Morimoto, Keitaro Fukuda, Yoshihiro Ito, Umi Tahara, Takashi Sasaki, Aiko Shiohama, Hiroshi Kawasaki, Eiryo Kawakami, Tatsuro Naganuma, Makoto Arita, Hiroyuki Sasaki, Haruhiko Koseki, Takeshi Matsui, Masayuki Amagai. Microbiota-Independent Spontaneous Dermatitis Associated with Increased Sebaceous Lipid Production in Tmem79-Deficient Mice. J Invest Dermatol. 2022 Jun 23;S0022-202X(22)01588-3. doi: 10.1016/j.jid.2022.06.003. PMID: 35752300
• Hiroaki Baba, Saori Ikumi, Shotaro Aoyama, Tetsuo Ishikawa, Yusuke Asai, Nobuaki Matsunaga, Norio Ohmagari, Hajime Kanamori, Koichi Tokuda, Takuya Ueda, Eiryo Kawakami. Statistical Analysis of Mortality Rates of Coronavirus Disease 2019 (COVID-19) Patients in Japan Across the 4C Mortality Score Risk Groups, Age Groups, and Epidemiological Waves: A Report From the Nationwide COVID-19 Cohort. Open Forum Infect Dis . 2022 Nov 24;10(1):ofac638. doi: 10.1093/ofid/ofac638. eCollection 2023 Jan. PMID: 36686635
• Azusa Yamato, Hidekazu Nagano, Yue Gao, Tatsuma Matsuda, Naoko Hashimoto, Akitoshi Nakayama, Kazuyuki Yamagata, Masataka Yokoyama, Yingbo Gong, Xiaoyan Shi, Siti Nurul Zhahara, Takashi Kono, Yuki Taki, Naoto Furuki, Motoi Nishimura, Kentaro Horiguchi, Yasuo Iwadate, Masaki Fukuyo, Bahityar Rahmutulla, Atsushi Kaneda, Yoshinori Hasegawa, Yusuke Kawashima, Osamu Ohara, Tetsuo Ishikawa, Eiryo Kawakami, Yasuhiro Nakamura, Naoko Inoshita, Shozo Yamada, Noriaki Fukuhara, Hiroshi Nishioka, Tomoaki Tanaka. Proteogenomic landscape and clinical characterization of GH-producing pituitary adenomas/somatotroph pituitary neuroendocrine tumors. Commun Biol . 2022 Nov 27;5(1):1304. doi: 10.1038/s42003-022-04272-1. PMID: 36435867
• Alimasi Aersilan, Naoko Hashimoto, Kazuyuki Yamagata, Masataka Yokoyama, Akitoshi Nakayama, Xiaoyan Shi, Hidekazu Nagano, Ikki Sakuma, Nijiro Nohata, Takashi Kinoshita, Naohiko Seki, Bahityar Rahmutulla, Atsushi Kaneda, Siti Nurul Zhahara, Yingbo Gong, Motoi Nishimura, Shoichiro Kawauchi, Eiryo Kawakami, Tomoaki Tanaka. MicroRNA-874 targets phosphomevalonate kinase and inhibits cancer cell growth via the mevalonate pathway. Sci Rep. 2022 Nov 2;12(1):18443. doi: 10.1038/s41598-022-23205-w. PMID: 36323841
• Asako Kukita, Kenbun Sone, Syuzo Kaneko, Eiryo Kawakami, Shinya Oki, Machiko Kojima, Miku Wada, Yusuke Toyohara, Yu Takahashi, Futaba Inoue, Saki Tanimoto, Ayumi Taguchi, Tomohiko Fukuda, Yuichiro Miyamoto, Michihiro Tanikawa, Mayuyo Mori-Uchino, Tetsushi Tsuruga, Takayuki Iriyama, Yoko Matsumoto, Kazunori Nagasaka, Osamu Wada-Hiraike, Katsutoshi Oda, Ryuji Hamamoto, Yutaka Osuga. The Histone Methyltransferase SETD8 Regulates the Expression of Tumor Suppressor Genes via H4K20 Methylation and the p53 Signaling Pathway in Endometrial Cancer Cells. Cancers (Basel) . 2022 Oct 31;14(21):5367. doi: 10.3390/cancers14215367. PMID: 36358786
• Kei Ikeda, Taka-Aki Nakada, Takahiro Kageyama, Shigeru Tanaka, Naoki Yoshida, Tetsuo Ishikawa, Yuki Goshima, Natsuko Otaki, Shingo Iwami, Teppei Shimamura, Toshibumi Taniguchi, Hidetoshi Igari, Hideki Hanaoka, Koutaro Yokote, Koki Tsuyuzaki, Hiroshi Nakajima, Eiryo Kawakami. Detecting time-evolving phenotypic components of adverse reactions against BNT162b2 SARS-CoV-2 vaccine via non-negative tensor factorization. iScience. 2022 Oct 21;25(10):105237. doi: 10.1016/j.isci.2022.105237. Epub 2022 Sep 28. PMID: 36188188
• Naoki Nonaka, Ryo Fujihira, Monami Nishio, Hidetaka Murakami, Takuya Tajima, Mutsuo Yamada, Akira Maeda, Jun Seita, End-to-End High-Risk Tackle Detection System for Rugby. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022. Conference paper(査読あり)
• Tanaka K, Kato K, Nonaka N, Seita J., Efficient HLA imputation from sequential SNPs data by Transformer. Machine Learning for Health 2022. Conference paper (査読あり)

口頭発表/Oral

• Amemiya, A., T. Miyoshi, Big data assimilation for rapid-update precipitation forecasting, R-CCS Cafe, 2022/3/7
• Honda, T., Y. Sato, and T. Miyoshi, Assimilation of Lightning Flash Observations Using the Ensemble Kalman Filter with Additive Ensemble Perturbations: A Simulation Study, American Meteorological Society 102nd Annual Meeting, online, 2022/01/23-27
• Taylor, J., A. Amemiya, T. Honda, S. Otsuka, Y. Maejima, T. Miyoshi, 2022: Convective-Scale Imbalance Induced by 30-Second Update for Radar Data Assimilation, AMS 2022 Annual Meeting
• Maejima, Y, T. Miyoshi Control Simulation Experiment for August 2014 Severe Rainfall Event Using a Regional Model. AMS 102nd Annual Meeting, 2022/1/24
• Q. Sun, T. Miyoshi and S. Richard: Controllability of Extreme Events with the Lorenz-96 Model, AMS 26th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), AMS 102nd Annual Meeting, 24th Jan. 2022
• 三好建正、「富岳」を使ったゲリラ豪雨予報~2021年夏季のリアルタイム実証実験~、サイエンティフィック・システム研究会科学技術計算分科会2021 年度会合、オンライン、2022/1/20 invited
• Arata Amemiya, Takumi Honda, Shigenori Otsuka, Yasumitsu Maejima, James Taylor, Hirofumi Tomita, Seiya Nishizawa, Kenta Sueki, Tsuyoshi Yamaura, Yutaka Ishikawa, Shinsuke Satoh, Tomoo Ushio, Kana Koike, Erika Hoshi, and Takemasa Miyoshi, 1000-member 30-second-update real-time precipitation forecast experiment using the supercomputer Fugaku, ISDA-online: Data Assimilation Infrastructure - Software, Frameworks, HPC, 2022/1/14
• 雨宮新, 三好建正, 対流スケールのアンサンブル予報の後処理手法の検討, 第5回大アンサンブルとアプリケーション研究会, 2022/2/22
• Q. Sun, T. Miyoshi and S. Richard: Control Simulation Experiments of Extreme Events with the Lorenz 96 Model, The Mathematical Society of Japan Spring Meeting 2022
• Taylor, J., A. Amemiya, T. Honda, S. Otsuka, Y. Maejima, T. Miyoshi, 2022: Convective-Scale Imbalance Induced by 30-Second Update for Radar Data Assimilation, RCCS International Symposium
• Terasaki, K., and T. Miyoshi, A 1024-Member Data Assimilation and Forecast Experiment with NICAM-LETKF Using Fugaku: A Heavy Rainfall Event in Kyushu in July 2020. The 4th R-CCS international symposium, 2022/2/7
• Takemasa Miyoshi, Enhancing Precipitation Prediction Algorithm by Data Assimilation of GPM Observations, PMM session of the joint PI meeting of JAXA Earth Observation Missions FY2021, 2022/1/12
• 三好建正、新たな時代の気象学ー予測から制御へ, 第60回無名塾, オンライン, 2022/3/1 invited
• 古川賢, 柏原崇人, 異方Lebesgue空間におけるプリミティブ方程式とNavier-Stokes方程式に関連する特異極限問題, 日本数学会2022年度年会, 2022/03/31
• 雨宮 新, 本田 匠, 大塚 成徳, 前島 康光, James Taylor, 富田 浩文, 西澤 誠也, 山浦 剛, 末木 健太, 石川 裕, 佐藤 晋介, 牛尾 知雄, 小池 佳奈, 星 絵理香, 三好建正, 1000メンバー30秒更新SCALE-LETKFを用いた2021年夏のリアルタイム降水予報実験, 第12回データ同化ワークショップ, 2022/2/17
• 雨宮 新, 本田 匠, 大塚 成徳, 前島 康光, James Taylor, 富田 浩文, 西澤 誠也, 山浦 剛, 末木 健太, 石川 裕, 佐藤 晋介, 牛尾 知雄, 小池 佳奈, 星 絵理香, 三好建正, 富岳を用いた2021年夏の30秒更新_x000B_リアルタイム降水予報実験, 富岳成果創出加速課題 成果発表会, 2022/3/11
• Otsuka, S., Relationship between the Lamb wave propagation and the satellite-observed brightness temperature variance: a simple theoretical estimate. JpGU2022, U09-P17, oneline, 2022/5/30
• 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
• Qiwen SUN, Takemasa MIYOSHI, Serge RICHARD, Increasing the Efficiency of the Control Simulation Experiments with the Lorenz-96 Model, Spring Meeting 2022 Meteorological Society of Japan, online, May 17, 2022
• Qiwen SUN, Takemasa MIYOSHI, Serge RICHARD, Control Simulation Experiments with the Lorenz-96 Model, EGU 2022 General Assembly, online&Vienna, May 23, 2022
• Qiwen SUN, Takemasa MIYOSHI, Serge RICHARD,, Controllability of Extreme Events with the Lorenz-96 Model, Japan Geoscience Union Meeting 2022, Chiba&online, May 26, 2022
• Jianyu Liang, Norihiko Sugimoto, and Takemasa Miyoshi, Growing modes of Venus's atmosphere using Bred Vectors,JpGU-2022, online, 2022/5/22
• 前島康光, 三好建正:領域気象モデルを使った局地豪雨の制御シミュレーション実験,日本気象学会2022年度春季大会
• Maejima, Y. and T. Miyoshi. A Control Simulation Experiment for August 2014 Severe Rainfall Event Using a Regional Model, Japan Geoscience Union meeting 2022
• Maejima, Y. and T. Miyoshi. A Control Simulation Experiment for August 2014 Severe Rainfall Event Using a Regional Model, The EGU General Assembly 2022
• A. Gonzalo, M. Mdini, A. Amemiya, S. Otsuka, T. Miyoshi, Towards the Acceleration of a High-Resolution Weather Model with Machine Learning, R-CCS, 8th Prediction Science Seminar (2nd joint seminar with DA Team), May 11 2022
• Terasaki, K., and T. Miyoshi, 2022: Control Simulation experiment for a typhoon case with a global numerical weather prediction system. EGU, May 2022
• Terasaki, K., and T. Miyoshi, 2022: Control Simulation experiment for a typhoon case with a global numerical weather prediction system. JpGU, May 2022
• Takemasa Miyoshi, "Fusing Big Data and Big Computation in Numerical Weather Prediction", International HPC Summer School 2022, 2022/6/20 Keynote
• Takemasa Miyoshi, A. Amemiya, T., Honda, T., Otsuka, S., Maejima, Y., Taylor, J., Tomita, H., Nishizawa, S., Sueki, K.Yamaura, T., Ishikawa, Y., Satoh, S., Ushio, T., Koike, K., Hoshi, E.:"Big data assimilation: Real‐time 30‐s‐update forecast experiments using Fugaku in Tokyo in 2021", ISDA2022, 2022/6/9 Keynote
• Takemasa Miyoshi, Sun, Q., Terasaki, K. and Maejima, Y.: From Predictability to Controllability: Control Simulation Experiment (CSE), ISDA2022, 2022/6/6
• Takemasa Miyoshi, Qiwen Sun, Koji Terasaki, Yasumitsu Maejima, From Predictability to Controllability: Control Simulation Experiment (CSE), EGU General Assembly 2022, Vienna, Austri, 2022/5/23
• Takemasa Miyoshi, Experimental platform for design and advance evaluation of frequent satellite observations to innovate weather, ocean and land surface predictions, Japan Geoscience Union Meeting 2022,Chiba and Online, 2022/5/26
• Takemasa Miyoshi, Arata AMEMIYA, Takumi HONDA, Shigenori OTSUKA, Yasumitsu MAEJIMA, James TAYLOR, Hirofumi TOMITA, Seiya NISHIZAWA, Kenta SUEKI, Tsuyoshi YAMAURA, Yutaka ISHIKAWA, Shinsuke SATOH, Tomoo USHIO, Kana KOIKE, Erika HOSHI, Big Data Assimilation: Real-time 30-s-update Forecast Experiments Using Fugaku inTokyo in 2021、 Japan Geoscience Union Meeting 2022, Chiba and Online, 2022/5/23
• Takemasa Miyoshi, Sun, Q., Terasaki, K. and Maejima, Y.: From Predictability to Controllability: Control Simulation Experiment, Japan Geoscience Union Meeting 2022, Chiba&online, May 26, 2022
• Takemasa Miyoshi, Advances and applications of satellite data assimilation of clouds, precipitation, and the ocean, Japan Geoscience Union Meeting 2022, Chiba and Online, 2022/5/23
• 三好建正、世界初リアルタイム30秒更新ゲリラ豪雨予測実験, 第11回 JCAHPCセミナー(OFP運用終了記念シンポジウム)2022/5/27, ハイブリッド(オンライン, 千葉)
• Takemasa Miyoshi. Data assimilation research using Fugaku at RIKEN, Meteorology Colloquium, LMU Munich, 2022/5/31
• Takemasa Miyoshi, Sun, Q., Terasaki, K. and Maejima, Y.: From Predictability to Controllability: Control Simulation Experiment, AOGS, Aug 4, 2022
• Takemasa MIYOSHI, Arata AMEMIYA, Takumi HONDA, Shigenori OTSUKA, Yasumitsu MAEJIMA, James TAYLOR, Hirofumi TOMITA, Seiya NISHIZAWA, Kenta SUEKI, Tsuyoshi YAMAURA, Yutaka ISHIKAWA, Shinsuke SATOH, Tomoo USHIO, Kana KOIKE, Erika HOSHI, Big Data Assimilation: Real-time 30-s-update Forecast Experiments Using Fugaku in Tokyo in 2021, AOGS2022 Virtual, 19th Annual Meeting, Online, 2022/8/5
• 三好建正、『富岳』を使った天気予報の先端研究, 気象学会関西支部第43回夏季大学, August 20,2022
• Takemasa Miyoshi, A.Amemiya, T. Honda, S.Otsuka, Y. Maejima, J. Taylor, H. Tomita, S.Nishizawa, K. Sueki, T. Yamaura, Y. Ishikawa, S.Satoh, T. Ushio, K.Koike, E. Hoshi "Big Data Assimilation Real-Time 30-s-update Experiments Using Fugaku in Tokyo in 2021" , invitation talk, WWRP Symposium, online, 8/24/2022
• Takemasa Miyoshi, Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku, 9/6/2022, Keynote, 2nd US-Japan Workshop on Data-Driven Fluid Dynamics, Kobe
• 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 、日本計算機統計学会企画セッション「先進的な計算機環境と応用分野」, 2022年度 統計関連学会連合大会, 東京, 2022/9/7
• Takemasa Miyoshi, RIKEN's activities on fusing AI and data assimilation in numerical weather prediction, Sea tech week 2022, 2022/9/26
• 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
• 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
• 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
• Jianyu Liang, Norihiko Sugimoto, and Takemasa Miyoshi, Growing modes of Venus's atmosphere using Bred Vectors,AOGS2022, online, 2022/8/01
• Jianyu Liang, Koji Terasaki, and Takemasa Miyoshi, A Machine Learning Approach To The Observation Operator For Satellite Radiance Data Assimilation,AOGS2022, online, 2022/8/05
• Jianyu Liang, Norihiko Sugimoto, and Takemasa Miyoshi, Growing modes of Venus's atmosphere using Bred Vectors,COSPAR2022, online, 2022/07
• Jianyu Liang, Norihiko Sugimoto, and Takemasa Miyoshi, Growing modes of Venus's atmosphere using Bred Vectors,EPSC2022, online, 2022/09
• Mulia, I. E., Gusman, A. R., Heidarzadeh, M., and Satake, K., Another long-period tsunami occurred in the Alaska-Aleutians megathrust as demonstrated by the July 2021 Mw 8.2 event. AOGS 19th Annual Meeting, virtual meeting, 1-5 August 2022
• 宇田智紀、坂上貴之、大石俊、「流線トポロジカルデータ解析を用いた黒潮蛇行発生の特定」、日本応用数理学会2022年度年会、北海道、2022年9月
• Takemasa MIYOSHI, Qiwen SUN: Controllability of Extreme Events with the Lorenz-63 Model, Science Society in Clubhouse, online, July 15, 2022
• Qiwen SUN, Takemasa MIYOSHI, Serge RICHARD: Efficient Control Simulation Experiments With the Lorenz-96 Model, AOGS, Aug 3, 2022
• 前島康光, 三好建正:領域気象モデルを使った局地豪雨の制御シミュレーション実験,日本気象学会2022年度秋季大会
• 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
• 竹田航太, 坂上貴之 「多様体上HMCの収束定理と乱流統計への応用」第7回岡山応用数学セミナー, 2022年 8月2日
• 竹田航太, 坂上貴之「HMCによるN点渦系の不変測度の構成」応用数理学会 2022年度年会, 2022年 9月8日
• 竹田航太, 坂上貴之「UQと数理流体力学からはじめる学際研究の可能性」応用数学フレッシュマンセミナー2022, 2022年 10月15日
• 竹田航太, 坂上貴之「UQと数理流体力学からはじめる学際研究の可能性」大学院教育支援機構奨励研究員及びフェローシップ受給者によるポスター発表会・研究交流会, 2022年 10月27日
• 竹田航太, 坂上貴之「球面上の平均場方程式に対するHMCを用いたモンテカルロアプローチ」第99回金沢解析セミナー, 2022年 12月9日
• 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、GIR公開セミナー、東京農工大学、2022/10/14
• 三好建正・大塚成徳・雨宮新・富田浩文・牛尾知雄 牛山朋來 ・小西雅也、アルゼンチンの大雨洪水防災の国際共同プロジェクト、日本気象学会2022年度秋季大会、北海道大学、2022/10/26
• 三好建正、『富岳』を使ったゲリラ豪雨予報、2022年度スパコンセミナー スパコンって何に使われてるの?私たちの暮らしと計算の世界、計算科学センタービル、2022/10/29
• 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、2022年度武蔵野大学数理工学シンポジウム、武蔵野大学有明キャンパス、2022/11/16
• Takemasa Miyoshi, Invited presentation, "Big Data Assimilation: Real-time 30-s-update Torrential Rain Forecast Using Fugaku in Tokyo in 2021", The 5th ISEE Symposium Toward the Future of Space-Earth Environmental Research, , Nagoya University、 2022/11/15
• 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、第15回理研イノベーションセミナー、オンライン、2022/11/17
• Takemasa Miyoshi, Big Data Assimilation revolutionizing numerical weather prediction using Fugaku, Statistical Science Seminar, University of College London, 2022/11/24
• Takemasa Miyoshi, Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku, University of Reading Data Assimilation Research Center and RIKEN Online Joint Seminar Series, University of Reading, 2022/11/23
• 三好建正、「富岳」を使ったリアルタイムゲリラ豪雨予測、情報処理学会連続セミナー2022「その先へ情報技術が貢献できること」、オンライン、2022/12/6
• Takemasa Miyoshi, Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku", AOSC Seminar, University of Maryland, 2022/12/01
• 三好建正、「富岳」を使ったリアルタイムのゲリラ豪雨予報、第15回スーパーコンピューティング技術産業応用シンポジウム、(オンライン), 2022/12/9
• 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～、一般財団法人 工業所有権協力センター 社内セミナー、オンライン、2022/12/9
• Takemasa Miyoshi, Shigenori Otsuka, Arata Amemiya, Jianyu Liang, Fusing AI and data assimilation with HPC in numerical weather prediction, AGU Fall meeting(AGU22) , McCormick Place, 2022/12/13
• Takemasa Miyoshi, Qiwen Sun, Yasumitsu Maejima and Koji Terasaki, From Predictability to Controllability: Control Simulation Experiment, AGU Fall meeting(AGU22) 、McCormick Place、2022/12/14
• 雨宮新、三好建正、領域気象モデルSCALE-RMを使ったLETKFの微修正による局所粒子フィルタ、第24回非静力学モデルに関するワークショップ、筑波大学、2022/12/20
• Mulia, I. E., Ueda, N., Miyoshi, T., Generation of wind and pressure fields by deep learning for efficient storm surge modeling. AGU Fall Meeting 2022, Chicago, USA, 12-16 December 2022
• 古川賢, プリミティブ方程式のデータ同化に関する数学的側面について, 第48回 発展方程式研究会, 2022/12/26, Tokyo
• 坂上貴之, 特別対談「数学は社会でどういきている？ー数学研究の本質を探る」(オンライン開催), 2022年3月12日
• 坂上貴之、大石俊、宇田智紀、「流線トポロジカルデータ解析を用いた黒潮蛇行発生の特定」、第13回理研・京大データ同化研究会、オンライン、2022年3月
• Takashi Sakajo, "Topological Flow Data Analysis for Bllod Flows Insider a Heart", Virtual Online, The 1st International Symposium on Aihara Moonshot Project, 2022/6/6
• Takashi Sakajo, "Geometry, Stochastics and Dynamics", Topological flow data analysis - theory and recent applications, UK-Japan Winter School Event, Imperial College London, UK (hybrid), 2022/9/13
• 坂上貴之, 「流線トポロジカルデータ解析(TFDA)による心血流画像解析」第三回京大ーハイデルベルグ大ー理研ワークショップ 医学と数理, 京都大学, 2022年10月1日
• 坪井 俊「円周作用への実解析的バーコフ切断」葉層構造論シンポジウム、東京大学大学院数理科学研究科(オンライン)2022/10/22
• Takashi Tsuboi, "Real analytic Birkhoff sections", Geometry & Topology: Celebrating Paul Schweitzer's 85th Birthday, UFF-Niteroi, PUC-Rio, Brasil, 2022/10/31~11/04 (virtual talk)
• Mulia, I. E., Ueda, N., Miyoshi, T., Gusman, A. R., Satake, K., The use of S-net data for tsunami inundation forecasting using machine learning. JpGU Meeting 2022, virtual meeting, 22-27 May 2022
• 上田修功, シミュレーションベース機械学習とその地震データ解析への応用, 日本地球惑星科学連合大会 (招待講演), 2022/5/22
• 上田修功, シミュレーションベース機械学習～モデル駆動とデータ駆動の新たな融合～, 東京大学「先端人工知能論Ⅰ」 特別講演 (招待講演), 2022/7/12
• Mulia, I. E., Gusman, A. R., Heidarzadeh, M., and Satake, K., Another long-period tsunami occurred in the Alaska-Aleutians megathrust as demonstrated by the July 2021 Mw 8.2 event. AOGS 19th Annual Meeting, virtual meeting, 1-5 August 2022
• 上田修功, AI研究の新潮流: シミュレーションベース機械学習 ―モデル駆動とデータ駆動の新たな融合―, 日本バイオインフォマティックス学会 基調講演 (招待講演), 2022/9/15
• 古川 賢, "異方 Lebesgue 空間におけるプリミティブ方程式と Navier-Stokes 方程式 に関連する特異極限問題", 2022年度日本数学会年会, 2022年3月
• Furukawa, K. and Kashiwabara, T. "Singular limit Problem from the Scaled Navier-Stokes Equations to the Primitive Equations in \(L^\infty_{x^\prime} L^q_{x_3} (\mathbb{T}^3)\)", Mathematical Advances in Geophysical Flows, CIRM, April 2022
• K. Furukawa, T. Kashiwabara, Singular Limit Problem of the Primitive Equations from the Anisotropic Navier-Stokes Equations in \(L^\infty_{x^\prime} L^q_{x_3} (\mathbb{T}^3)\) Spaces, Young Researchers Forum on Mathematical Fluid Mechanics, May 2022
• Ken Furukawa, Takahito Kashiwabara, Mathematical Justification of the Hydrostatic Approximation of the Primitive Equations in Anisotropic Spaces, The 47th Sapporo Symposium on Partial Differential Equations, August 2022
• 川上英良, 予防・先制医療に向けたデータ駆動型アプローチ. 第92回日本衛生学会学術総会, オンライン, 2022/3/21
• 川上英良, 医療分野における人工知能研究の実際. 第32回日本疫学会学術総会, オンライン, 2022/1/26
• 川上英良, 医療におけるAI活用の課題. 第1回 21世紀メディカルAIシンポジウム,オンライン, 2022/6/24
• 川上英良, 機械学習による疾患のデータ駆動型モデリングと知識発見, 第7回 日本糖尿病・生活習慣病ヒューマンデータ学会年次学術集会, オンライン, 2022/12/2
• 川上英良, 機械学習を用いた 疾患の層別化と予測, Immunology Remote Web Seminar in OSAKA, オンライン, 2022/10/21
• 川上英良, 医療とともに進化するAIまたはリアルワールドデータの「超入門書」, 第22回日本メンズヘルス医学会総会, オンライン, 2022/9/18
• 川上英良, 予測・予防医療の 実現に向けたAI活用, 第60回日本医療・病院管理学会学術総会 委員会企画2「ICT・AIの医療への活用」, オンライン, 2022/9/16
• Eiryo Kawakami, Elucidating the heterogeneity and dynamics of infectious diseases with data-driven approach, オンライン, 2022/9/9
• Jun Seita, Tsukuba Bioinformatics Assembry "Each gene has a different dynamic-range of its expression", Feb 10, 2022, Virtual
• 清田純, 2022年度日本計量生物学会年会・特別セッション「機械学習への招待(2)画像・自然言語・生体データの深層学習と医薬領域への応用」『医療分野における深層学習のリアル』, May 13, 2022, Katsushika, Tokyo
• 清田純 東北大学実践データ駆動科学オンラインセミナー第13回, 23 March, 2022, 「健康・医療のデータ駆動科学」『データ駆動医科学とAI』
• 清田純, 日本薬剤学会第37年会・シンポジウム「デジタルトランスフォーメーションで変わる医療」『医療DXにおける深層学習の可能性』, May 28, 2022, Virtual
• 清田純, 東北大学東北メディカルメガバンク機構「個別化ヘルスケアを作るビッグデータ〜コホート・バイオバンクの利活用」, Aug 8, 2022, Sendai
• 清田純, 第102回北海道医学大会総会・特別講演「最新の1細胞解析とHuman Cell Atlasプロジェクト」, Oct 1, 2022, Sapporo, Hokkaido
• Jun Seita, M3-RIKEN Joint Mini Symposium, "Capturing Expertise by Deep Learning", Dec 5, 2022, Tübingen, Germany
• 清田純, 東京医科歯科大学/ソニークリニカルサミット「単一細胞オミックス解析の最新動向とデータサイエンス」『深層学習研究で「今」起こっている大統一と1細胞解析への波及』, Dec 19, 2022, Virtual

ポスター発表/Poster

• (poster)A. Gonzalo, A. Amemiya, M. Mdini, S. Otsuka, T. Miyoshi, Accelerating the SCALE model with a downscaling ML hybrid approach, R-CSS 4th International Symposium, online
• (poster)A. Gonzalo, A. Amemiya, M. Mdini, S. Otsuka, T. Miyoshi, Accelerating the SCALE model with a downscaling ML hybrid approach, Data Assimilation workshop, online
• (poster)Honda, T., Y. Sato, and T. Miyoshi, Towards the effective use of lightning flash observations for numerical weather prediction, 4th R-CCS International Symposium, online, 2022/02/07-08
• (poster)Maejima, Y, T. Miyoshi Control Simulation Experiment for August 2014 Severe Rainfall Event Using a Regional Model. The 4th R-CCS International Symposium, 2022/2/7
• (poster)前島康光, 川畑拓矢, 瀬古弘, 三好建正: 令和2年7月豪雨を対象とした高密度PAWRの観測システムシミュレーション実験, 「富岳」成果創出加速プログラム2021年度成果報告会, オンライン, 2022/3/11
• (poster)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
• (poster)Q. Sun, T. Miyoshi and S. Richard: Controllability of Extreme Events with the Lorenz-96 Model, 4th R-CCS symposium
• Kaman Kong (2022): Sensitive experiments of data assimilation localization scales for the pre-preparation of cumulus parameter estimation, The Meteorological Society of Japan 2022 Autumn Meeting, Hokkaido University, Sapporo, 2022/10/24. (Poster)
• 荻田豪士, 石橋朋樹, 柴田達夫 "1細胞から細胞集団にキラリティを変換する細胞間力学相互作用の解明を目指して" 定量生物学の会第10回年会, 2022年12月15-16日, 広島大学, 広島

書籍/Book

• 川上英良, 華井明子 3章3 AIを用いた探索的医療データ分析と疾患分類 先進医療NAVIGATOR 医療とAI最前線 2022年2月10日

受賞/Award

• 三好建正, 寺崎康児, 理研梅峰賞「富岳上での全球雲解像モデルと局所的アンサンブルカルマンフィルターによる大規模計算による天気予報システムの構築」2022年3月23日
• James Taylor, 理研桜舞賞(研究奨励賞)「Oversampling Reflectivity Observations from a Geostationary Precipitation Radar Satellite: Impact on Typhoon Forecasts within a Perfect Model OSSE Framework」2022年3月23日
• 三好建正, 令和4年度科学技術分野の文部科学大臣表彰 科学技術賞(研究部門)「数値天気予報を革新するビッグデータ同化の研究」 2022年4月8日

プレスリリース/Press Release

• 2022/3/7, シミュレーションで線状降水帯の豪雨予測精度を改善, https://www.riken.jp/press/2022/20220307_1/index.html
• 2022/3/11, アルゼンチン向け地球規模課題対応国際科学技術協力(SATREPS)討議議事録の署名:気象観測・予測の高度化や住民への防災情報の伝達を通し、気象・洪水リスクの削減に貢献, https://www.jica.go.jp/press/2021/20220311_31.html, https://www.jica.go.jp/english/news/press/2021/20220311_31.html
• 2022/3/28, 制御シミュレーション実験-気象制御に向けた新理論-, https://www.riken.jp/press/2022/20220328_2/index.html
• 2022/5/9, トンガ海底火山噴火のラム波を鮮明に可視化-ひまわり8号が捉えた波の全貌-, https://www.riken.jp/press/2022/20220509_1/index.html
• 2022/5/18, A causal structure of insect symbiotic bacteria involved in carbon and nitrogen cycling -Inferences of material cycles of the humic chain between symbiotic bacteria in beetle larvae and forest-, RIKEN Press releases 炭素・窒素循環を担う昆虫共生細菌系の因果構造

特許/Patent

• 特願2022-168532, 「深層学習モデルによる不整脈の予測装置、方法、プログラム」, 理化学研究所・筑波大学, 2022年10月20日

その他/Others

• 坪井俊,「高校生のための大学数学講座 曲面のモース理論」NHKカルチャーセンター青山教室(オンライン)2022/04/10, 2022/06/12