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J-GLOBAL ID：200901020116324481   Update date: Nov. 02, 2024

Nakano Shin'ya

ナカノ シンヤ | Nakano Shin'ya
Affiliation and department：
The Institute of Statistical Mathematics Department of Interdisciplinary Statistical Mathematics

About The Institute of Statistical Mathematics Department of Interdisciplinary Statistical Mathematics


Job title： Professor
Other affiliations (2)：
Homepage URL  (1)： http://daweb.ism.ac.jp/~shiny
Research field  (3)： Atmospheric and hydrospheric science ,  Space and planetary science ,  Statistical science
Research keywords  (14)： Ensemble Kalman filter ,  Tropical cyclone ,  Long-term variation ,  state space model ,  parallel computing ,  Monte Carlo filter ,  plasmasphere ,  geomagnetism ,  particle filter ,  data assimilation ,  magnetic storm ,  field-aligned current ,  ring current ,  magnetosphere
Research theme for competitive and other funds  (4)：
  • 2022 - 2026 Development of a novel data assimilation technique for application to particle-based simulation models
  • 2017 - 2022 Development of risk assesment techniques for natural disasters based on data-driven simulator
  • 2012 - 2016 Analysis of dynamic properties of the inner magnetosphere using data assimilation
  • 2007 - 2009 Quantitative modeling of the inner magnetospheric environment using data assimilation
Papers (54)：
  • Ryuho Kataoka, Sachin Alexander Reddy, Shinya Nakano, Joshua Pettit, Yuki Nakamura. Extended magenta aurora as revealed by citizen science. Scientific Reports. 2024. 14. 25849
  • Shin’ya Nakano, Sho Sato, Hiroaki Toh. Short-term prediction of geomagnetic secular variation with an echo state network. Earth, Planets and Space. 2024. 76. 121
  • Mineto Satoh, Peter Jan van Leeuwen, Shin'ya Nakano. Online state and time-varying parameter estimation using the implicit equal-weights particle filter. Quarterly Journal of the Royal Meteorological Society. 2024. 150. 761. 2087-2103
  • Ryuho Kataoka, Aoi Nakamizo, Shinya Nakano, Shigeru Fujita. Machine Learning-Based Emulator for the Physics-Based Simulation of Auroral Current System. Space Weather. 2024. 22. 1
  • Shin’ya Nakano, Yuta Hozumi, Akinori Saito, Ichiro Yoshikawa, Atsushi Yamazaki, Kazuo Yoshioka, Go Murakami. O+ density distribution in the nightside ionosphere reconstructed from ISS-IMAP/EUVI data. Earth, Planets and Space. 2024. 76. 1
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MISC (7)：
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Books (2)：
  • データ同化
    共立出版 2024 ISBN:9784320112773
  • データ同化入門
    朝倉書店 2011
Lectures and oral presentations  (44)：
  • Ionospheric data assimilation into an emulator of global MHD model of the magnetosphere-ionosphere system
    (The 10th International Symposium on Data Assimilation 2024)
  • エミュレータへのデータ同化と極域電離圏再解析データ作成への展望
    (太陽地球環境データ解析に基づく超高層大気の空間・時間変動の解明 ~ IUGONET プロジェクト15年の歩みとその将来 2024)
  • 関数的データの利用に向けた検討
    (第28回データ同化夏の学校 2024)
  • Assimilation of polar ionospheric data into a newly-developed emulator of global MHD simulation
    (Japan Geoscience Union Meeting 2024 2024)
  • Online state and time-varying parameter estimation using the implicit equal-weights particle filter
    (Japan Geoscience Union Meeting 2024 2024)
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Education (2)：
  • 1999 - 2004 Kyoto University Graduate School of Science Division of Earth and Planetary Sciences
  • 1995 - 1999 Kyoto University Faculty of Science
Professional career (1)：
  • Doctor (Science) (Kyoto University)
Work history (6)：
  • 2023/04 - 現在 The Institute of Statistical Mathematics Professor
  • 2016/04 - 2023/03 The Institute of Statistical Mathematics Associate Professor
  • 2009/10 - 2016/03 The Institute of Statistical Mathematics Assistant Professor
  • 2009/04 - 2009/09 The Institute of Statistical Mathematics Project Researcher
  • 2005/04 - 2009/03 The Institute of Statistical Mathematics / JST CREST Researcher
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Association Membership(s) (6)：
IEEE ,  JAPAN GEOSCIENCE UNION ,  JAPAN STATISTICAL SOCIETY ,  Society of Geomagnetics and Earth, Planetary, and Space Sciences ,  American Geophysical Union ,  The Japan Society for Industrial and Applied Mathematics
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