ANALYSIS FOR RAINFALL-TEMPERATURE RELATIONSHIP USING A MASSIVE ENSEMBLE CLIMATE DATASET

Abstract

 In this study, the relationship between extreme rainfall and near-surface temperature was investigated by using ensemble climate data based on the scaling factor (SF), which is the rate of increase in rainfall intensity per 1 °C increase in temperature. Although the observed SF generally follows the ClausiusClapeyron relationship (7 %/°C), it is found to vary from 5 to 10 %/°C among sites. The factor of this variability was investigated by using ensemble climate data, and it was found that this variability is caused by the number of observation samples. The impacts of climate model resolution and climate change on SF were also investigated. These results indicate that a high resolution and a massive number of samples are required to discuss the SF of extreme rainfall. The results also suggest that short time heavy rainfall risk at high temperatures will increase because the SFs are higher under the warmer climate.