Publication in Nonlinear Processes in Geophysics: Toward Weather Control
A paper by Assistant Professor Takahito Mitsui and colleagues,
titled “Bottom–up approach for mitigating extreme events with limited intervention options: a case study with Lorenz 96 model,”
has been published in Nonlinear Processes in Geophysics.
This study extends the framework for evaluating the controllability of chaotic systems under observational uncertainty
and proposes a “bottom-up approach” to effectively mitigate extreme events under limited intervention conditions.
Mitsui, T., Kotsuki, S., Fujiwara, N., Okazaki, A., and Tokuda, K.: Bottom–up approach for mitigating extreme events with limited intervention options: a case study with Lorenz 96 model,
Nonlin. Processes Geophys., 32, 457–469,
https://doi.org/10.5194/npg-32-457-2025, 2025.
DOI: 10.5194/npg-32-457-2025
Laboratory website is being updated
The laboratory website is currently being updated.
Paper published in Frontiers in Artificial Intelligence
A paper by Tokuda et al., titled "Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing," has been published in the *Machine Learning and Artificial Intelligence* section of *Frontiers in Artificial Intelligence*.
This paper is part of the Research Topic “Deep Neural Network Architectures and Reservoir Computing.”
DOI: 10.3389/frai.2024.1451926
Professor Takahito Mitsui has joined the lab
Professor Takahito Mitsui has joined our lab as a specially appointed assistant professor.
He conducts research aiming to understand climate variability such as glacial–interglacial cycles, Dansgaard–Oeschger cycles, the current interglacial period and its future, and the Indian summer monsoon. His methods include Earth system models, data assimilation using nonlinear Kalman filters, time series prediction using neural networks such as reservoir computing, and simple dynamical system models.
He is also participating in the Kotsuki Project related to Moonshot Goal 8: "Control of extreme weather."
Paper published in Nonlinear Processes in Geophysics
The research article "Reducing manipulations in a control simulation experiment based on instability vectors with the Lorenz-63 model" by Mao Ouyang, Keita Tokuda, and Shunji Kotsuki has been published in *Nonlinear Processes in Geophysics*.
DOI: 10.5194/npg-30-183-2023
Paper published in Nature Communications
The paper "Emergence of chaos in a compartmentalized catalytic reaction nanosystem" by Maximilian Raab, Johannes Zeininger, Yuri Suchorski, Keita Tokuda, and Günther Rupprechter has been published in *Nature Communications*.
DOI: 10.1038/s41467-023-36434-y
Keita Tokuda appointed at Juntendo University
Keita Tokuda has been appointed to the Faculty of Health Data Science at Juntendo University upon its establishment.
He is promoting research on neurodynamics, nonlinear dynamical systems, weather control, and the integration of machine learning and time series analysis.
Received Best Paper Award from the Japanese Neural Network Society
The paper "Chaos may enhance expressivity in cerebellar granular layer" published in *Neural Networks*, authored by Keita Tokuda as the first and corresponding author, received the Best Paper Award from the Japanese Neural Network Society.
Co-authors are Professor Naoya Fujiwara, Professor Akihito Sudo, and Professor Yuichi Katori.