RIKEN(理化学研究所)PREDICTION

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研究業績

論文/Paper

  • Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Maddegedara, Naonori Ueda, Yuma Kikuchi, A Fast Scalable Iterative Implicit Solver with Green's function-based Neural Networks, 2020 IEEE/ACM 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA), 61-68, 2020, DOI 10.1109/ScalA51936.2020.00013
  • Takuma Yamaguchi, Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Maddegedara, Naonori Ueda, Data-Driven Approach to Inversion Analysis of Three-dimensional Inner Soil Structure via Wave Propagation Analysis, Lecture Notes in Computer Science, vol 12139, https://doi.org/10.1007/978-3-030-50420-5_1.
  • Takuma Yamaguchi, Kohei Fujita, Tsuyoshi Ichimura, Akira Naruse, Jack C. Wells, Christopher J. Zimmer, Tjerk P. Straatsma, Muneo Hori, Lalith Maddegedara, Naonori Ueda, Low-Order Finite Element Solver with Small Matrix-Matrix Multiplication Accelerated by AI-Specific Hardware for Crustal Deformation Computation, PASC'20 Proceedings of the Platform for Advanced Scientific Computing Conference, Article 16, 1-11, 2020.

口頭発表/Oral

  • K. Sueki: Estimation of key parameters in cloud microphysics using ensemble Kalman filter, The 2nd IMT-Atlantique & RIKEN Joint Workshop, IMT Atlantique, Brest, France, 2020/2/10
  • 三好 建正, "Enhancing Precipitation Prediction Algorithm by Data Assimilation of GPM Observations", 「NICAM-LETKFと衛星観測データ同化に関する打ち合わせ」第20回会合, オンライン, 2020/4/22
  • Takemasa Miyoshi,, Weather Predictability and Data Assimilation: Perspectives Toward Prediction and Control in Agriculture, LSSE2020, online, 2020/4/24
  • Takemasa Miyoshi, Shunji Kotsuki , Koji Terasaki, Shigenori Otsuka, Ying-Wen Chen, Kaya Kanemaru, Masaki Satoh, Hisashi Yashiro, Hirofumi Tomita, Keiichi Kondo, Kozo Okamoto, Eugenia Kalnay, and Takuji Kubota, Enhancing Precipitation Prediction Algorithm by Data Assimilation of GPM Observations, EGU2020, online, 2020/5/7
  • Takemasa Miyoshi, Takumi Honda, Shigenori Otsuka, Arata Amemiya, Yasumitsu Maejima, Yoshihiro Ishikawa, Hiromu Seko , Yoshito Yoshizaki , Naonori Ueda, Hirofumi Tomita, Yutaka Ishikawa, Shinsuke Satoh, Tomoo Ushio, Kana Koike, and Yasuhiko Nakada, Big Data Assimilation: Real-time Workflow for 30-second-update Forecasting and Perspectives toward DA-AI Integration, EGU2020, online, 2020/5/8
  • 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、JST未来社会創造事業ワークショップ 数理科学がドライブする未来、オンライン、2020/6/3
  • Qiwen Sun, Serge Richard, Takemasa Miyoshi, SIIR Model and Parameter Estimation, Prediction Science, covid-19 meeting, online, 2020/6/10
  • Takemasa Miyoshi, "Enhancing Precipitation Prediction Algorithm by Data Assimilation of GPM Observations", 「NICAM-LETKFと衛星観測データ同化に関する打ち合わせ」第21回会合, オンライン, 2020/7/30
  • 大石俊,日原勉,相木秀則,石坂丞二,宮澤泰正,可知美佐子,三好建正「アンサンブルカルマンフィルタを用いた海洋データ同化システムの開発」,第24回海洋データ同化夏の学校, オンライン, 2020/8/6
  • Takemasa Miyoshi, Real-time Demonstration of Big Data Assimilation in Numerical Weather Prediction, The 197th R-CCS Café, online, 2020/9/7
  • Qiwen Sun, Serge Richard, Takemasa Miyoshi, Understand the infectious disease model of covid-19 by using Ensemble Kalman Filter, Prediction Science COVID-19 Meeting, online, 2020/9/9
  • Takemasa Miyoshi (RIKEN),Big Data, Big Computation, and Machine Learning in Numerical Weather Prediction,Workshop on Exascale Uncertainty Quantification and Data Assimilation, online, 2020/9/24
  • Takemasa Miyoshi, Big Data, Big Computation, and Machine Learning in Numerical Weather Prediction,Virtual Event: ECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction, Online, 2020/10/6
  • 三好建正, ゲリラ豪雨予測のリアルタイム実証実験, 第9回JCAHPCセミナー(第4回OFP利活用報告会)「人類と地球を護るスーパーコンピューティング」, オンライン, 2020/10/15
  • 本田匠, 雨宮新, 大塚成徳, Guo-Yuan Lien, James Taylor, 前島康光, 西澤誠也, 山浦剛, 末木健太, 富田浩文, 佐藤晋介, 石川裕, 小池佳奈, 星絵理香, 三好建正, "SCALE-LETKF による 30 秒更新 30 分予報のリアルタイム実験", 日本気象学会秋季大会, オンライン, 2020/10/28
  • 本田匠, 佐藤陽祐 , 三好建正, "静止衛星による雷観測データ同化の観測システム シミュレーション実験", 日本気象学会秋季大会, オンライン, 2020/10/30

ポスター発表/Poster

  • 三好建正, ゲリラ豪雨予測のリアルタイム実証実験, 学際大規模情報基盤共同利用・共同研究拠点(JHPCN)第12回 シンポジウム、ポスター, jh200062-NAH, オンライン, 2020/7/9
  • Shigenori Otsuka, Yasumitsu Maejima, Pierre Tandeo, Takemasa Miyoshi, Toward an integrated NWP-DA-AI system for precipitation prediction, JpGU-AGU Joint Meeting 2020, online, 2020/7/12
  • S. Ohishi, T. Hihara, H. Aiki, J. Ishizaka, Y. Miyazawa, M. Kachi, and T. Miyoshi, Development of an ensemble Kalman filter-based regional ocean data assimilation system, JpGU-AGU Joint Meeting 2020, online, 2020/7/13
  • Shigenori Otsuka, Yasumitsu Maejima, Pierre Tandeo, and Takemasa 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, 2020/10/5
  • 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, オンライン, 2020/10/30
  • 三好建正, ゲリラ豪雨予測を目指した「ビッグデータ同化」の研究. 第7回「京」を中核とするHPCIシステム利⽤研究課題 成果報告会, オンライン, 2020/10/30
  • Tsuyoshi Ichimura, Kohei Fujita, Kentaro Koyama, Ryota Kusakabe, Kazuo Minami, Hikaru Inoue, Seiya Nishizawa, Miwako Tsuji, Tatsuo Nishiki, Muneo Hori, Lalith Maddegedara, Naonori Ueda, Fast Scalable Implicit Solver with Convergence of Physics-Based Simulation and Data-Driven Learning, Research Posters, SC20: the International Conference for High Performance Computing, Networking, Storage, and Analysis, 2020.
  • H. Hachiya, S. Kurora, U. Shimada and N. Ueda: Direct Multi-class AUC Maximization for Forecasting Rapidly Intensifying Tropical Cyclones, JpGU-AGU Joint Meeting 2020
  • H. Hachiya, Y. Yamamoto, K. Hirahara and N. Ueda: Adaptive truncated residuals regression for fine-grained regression problems, Asian Conference on Machine Learning (ACML2019)
  • H. Hachiya, K. Hirahara and N. Ueda: Machine Learning Approach for Adaptive Integration of Multiple Relative Intensity Models toward Improved Earthquake Forecasts in Japan, International Union of Geodesy and Geophysics (IUGG2019)
  • H. Hachiya, Y. Yamamoto, K. Hirahara and N. Ueda: Machine learning approach for constraining the plausible ranges of frictional parameters on the Philippine Sea plate reproducing the historical sequences of the Nankai megaquakes, European Geosciences Union (EGU2019)

書籍/Book

  • 八谷大岳: ゼロからつくるPython機械学習プログラミング 入門

その他/Others

  • 黒良峻平, 八谷大岳, 嶋田宇大 and 上田修功: マルチクラスAUC最大化を用いた台風発達予報
  • 永吉耕太郎, 八谷大岳, 藤原広行, 上田修功, 岩城麻子, 前田宜浩: Deep Inpaintingと空間分布マッチングの組み合わせによる地震動データの空間補完