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J-GLOBAL ID：200901020116324481   Update date: Apr. 03, 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 (52)：
  • 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
  • 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
  • Shin'ya Nakano, Ryuho Kataoka, Masahito Nosé, Jesper W. Gjerloev. Probabilistic modelling of substorm occurrences with an echo state network. Annales Geophysicae. 2023. 41. 2. 529-539
  • Seiji Zenitani, Shin'ya Nakano. Loading Loss-Cone Distributions in Particle Simulations. Journal of Geophysical Research: Space Physics. 2023. 128. 10
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MISC (7)：
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Books (1)：
  • データ同化入門
    朝倉書店 2011
Lectures and oral presentations  (35)：
  • Echo state networkを用いたPi2地磁気脈動の季節-UT変化の解析
    (研究集会「宇宙地球環境の理解に向けての統計数理的アプローチ」 2024)
  • Applicability of machine learning methods to prediction of the geomagnetic secular variation
    (AGU Fall Meeting 2023 2023)
  • Response of Pi2 activity to solar wind conditions modelled with an echo state network
    (154th SGEPSS Fall Meeting 2023)
  • Attempts to produce candidate models for the IGRF-14(1)
    (154th SGEPSS Fall Meeting 2023)
  • AuroraXcosmic project to study the atmospheric ionizations in southern polar cap
    (154th SGEPSS Fall Meeting 2023)
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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
Show all
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
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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