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

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.