Weather-SocietyCoupling
ntrolSystems
ntrol
Recently, the number of large-scale disasters has been increasing. They are induced by extreme weather events such as sudden heavy rain and super typhoons.
To prevent those disasters, technologies of observation and simulation have been advanced, so that the accuracy of weather forecasts has been improved. These technologies can also contribute to building the theory on "controlling weather", which might be an option in near future.
In this project, we will develop the accurate simulation of impacts of extreme weather events on society and a new theory to control weather and mitigate disasters. We aim at realizing weather control as a "reliable infrastructure" for disaster prevention and protecting our lives from large-scale disasters, which greatly contributes to sustainable development.
To prevent those disasters, technologies of observation and simulation have been advanced, so that the accuracy of weather forecasts has been improved. These technologies can also contribute to building the theory on "controlling weather", which might be an option in near future.
In this project, we will develop the accurate simulation of impacts of extreme weather events on society and a new theory to control weather and mitigate disasters. We aim at realizing weather control as a "reliable infrastructure" for disaster prevention and protecting our lives from large-scale disasters, which greatly contributes to sustainable development.
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Projects
The following research projects are being conducted in the "Control Theory of Weather-Society Coupled Systems for Supporting Social Decision-Making" area to create a new framework for research on weather and disaster prevention.
Weather-Society Coupling / Control Systems
Weather-Society Coupling / Control Systems
Weather-Society Coupling / Control Systems
Weather-Society Coupling / Control Systems
Weather-Society Coupling / Control Systems
Weather-Society Coupling / Control Systems
Weather-Society Coupling / Control Systems
Weather-Society Coupling / Control Systems
#01
Ensemble reanalysis/forecast of extreme weather events
#02
Data-driven meteorological controller
#03
Uncertainty quantification of weather-society coupled simulation
#04
Uncertainty analysis on physical processes in meteorology
#05
Probabilistic prediction of flood hazards
#06
Probabilistic prediction of storm surge and wave
#07
Prediction and control social system dynamics in disasters
#08
Prediction of water-related disasters’ cost and decision making under uncertainty
#09
Examining the social decision-making potential of meteorological control
#10
Possible rainfall control by ice nucleation activities of plant and microbial origins
#11
Development of evaporation suppression technology from the sea surface to mitigate extreme tropical cyclones and torrential
Members
Masashi Minamide
Graduate School of Engineering
University of Tokyo
University of Tokyo
Kazumune Hashimoto
Graduate School of Engineering
Osaka University
Osaka University
Yohei Sawada
University of Tokyo Graduate School
Department of Civil Engineering
Department of Civil Engineering
Kentaro Suzuki
The University of Tokyo
Atmosphere and Ocean Research Institute
Atmosphere and Ocean Research Institute
Dai Yamazaki
University of Tokyo
Institute of Industrial Science
Yoshimitsu Tajima
The University of Tokyo Graduate School
Graduate School of Engineering
Hitomu Kotani
Tokyo Institute of Technology
School of Environment and Society
School of Environment and Society
Toshio Fujimi
Kyoto University
Research Institute for Disaster Prevention
Research Institute for Disaster Prevention
Matsuyama Momoyo
University of Tokyo
Institute of Industrial Science
Institute of Industrial Science
Ishikawa Masaya
University of Tokyo
Graduate School of Agricultural and Life Sciences
Graduate School of Agricultural and Life Sciences
Ubukata Takashi
Yokohama National University
Faculty of Engineering
Faculty of Engineering
