Shin'ya Nakano

Associate Professor

The Institute of Statistical Mathematics

Japan

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Shin'ya Nakano is an Associate Professor at The Institute of Statistical Mathematics in Japan. His research focuses on geomagnetic phenomena, including the prediction of geomagnetic secular variation and machine learning applications in the analysis of the auroral current system. Recent publications encompass topics such as citizen science contributions to magnetic storms and the reconstruction of solar wind profiles associated with extreme magnetic events.

Articles (16)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (14)

Joan Miquel Torta

SPAIN

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National Institute of Information and Communications Technology

JAPAN

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Jon Mound

University of Leeds

UNITED KINGDOM

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Seiji Zenitani

JAPAN

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Professor

University of Tokyo

JAPAN

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Ryosuke Nakashima

Project Assistant Professor

Kobe University

JAPAN

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Shin'ya Nakano

Research Interests

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About

Articles (16)

Extended red aurora associated with super substorm igniting the October 10, 2024 magnetic storm as revealed by citizen science

Machine Learning‐Based Emulator for the Physics‐Based Simulation of Auroral Current System

Short-term prediction of geomagnetic secular variation with an echo state network

Online state and time‐varying parameter estimation using the implicit equal‐weights particle filter

$$\textrm{O}^+$$ density distribution in the nightside ionosphere reconstructed from ISS-IMAP/EUVI data

Probabilistic modelling of substorm occurrences with an echo state network

Loading Loss‐Cone Distributions in Particle Simulations

Loading a relativistic Kappa distribution in particle simulations

Echo state network model for analyzing solar-wind effects on the AU and AL indices

Reconstructing Solar Wind Profiles Associated With Extreme Magnetic Storms: A Machine Learning Approach

International Geomagnetic Reference Field: the thirteenth generation

EUV signals associated with O+ ions observed from ISS-IMAP/EUVI in the nightside ionosphere

Auroral zone over the last 3000 years

Behavior of the iterative ensemble-based variational method in nonlinear problems

A framework for estimating spherical vector fields using localized basis functions and its application to SuperDARN data processing

A candidate secular variation model for IGRF-13 based on MHD dynamo simulation and 4DEnVar data assimilation

Collaborators (14)

Joan Miquel Torta

Ryuho Kataoka

Takuto Minami

Futoshi Takahashi

Peter Jan van Leeuwen

Shigeru Fujita

Aoi Nakamizo

Jon Mound

Seiji Zenitani

Aude Chambodut

Vincent Lesur

Lars Tøffner-Clausen

Kanako Seki

Ryosuke Nakashima

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