Theme C:Development of basic technology for risk information on climate change

Director, Atmosperic Environment and Applied Meteorology Research Department, Meteorological Research Institute
In recent years, climate change impact assessments and development of countermeasures have been undertaken around the world. However, there is currently no standard downscaled data that can simultaneously address various demands (from changes in the mean field to hazard analyses). In this research theme, we aim to produce probability data that enables hazard analyses related to both high-frequency phenomena and low-frequency phenomena (typhoons, heavy rainfall, etc.) in the region of Japan. For this purpose, we are further refining the existing super high-resolution atmospheric model and applying statistical methods on model results to generate data on the probability of climate change predictions in the Asian monsoon region, including Japan. We aim to prepare a standard dataset (climate scenarios) together with data concerning the uncertainty in basic variables in climate prediction, which can be used in different applications of prediction data.


Research Subject | Sub-Research Subject | Institutes & Representatives | ||
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Probabilistic climate projection for risk assessment | a | Efficient approach for climate ensemble experiment | NIED | ![]() Senior Researcher Koji Dairaku |
b | Development of statistical methodology of ensemble data on climate change | ISM | ![]() Associate Professor Genta Ueno |
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c | Improvement in cost-efficiency of dynamical downscaling for ensemble data | IIS | ![]() Kei Yoshimura |
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Producing a standard climate scenario by using super high resolution models | a | Development of quantification method for reliability and uncertainty of climate change information | Tsukuba Univ. | ![]() Professor Hiroaki Ueda |
b | Downscaling of the change in future weather extremes by using high-resolution models | MRI | ![]() Izuru Takayabu |
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c | Development of a coupled ocean-atmosphere non-hydrostatic model for typhoon research | ISEE CIDAS |
![]() Kazuhisa Tsuboki |