9:30 AM - 9:45 AM
[ACG45-03] Dynamical downscaling of extreme events for climate change adaptation
In order to evaluate the model, we conducted the experiments with the grid interval of 20-km, 5-km, and 2-km using JRA55 reanalysis data. The results showed that observed severe rainstorms were clearly represented especially with the fine-grid model. The spatial distribution of snow depth becomes more realistic by using finely resolved model during winter monsoon season in the Japan Sea side. Although validation of precipitation over mountainous region was very difficult due to lack of observation in the mountains, the runoff analysis based on model results with the grid interval of 5-km indicated that projected precipitation was overestimated.
Considering the feature of NHRCM based on the historical data, we conducts the downscaling experiments using database for Policy Decision making for Future climate change (d4PDF) to detect the climate change impact on this region. We will contribute to adaptation planning through validation of the extreme rainfall events in the warmer climate.