11:45 AM - 12:00 PM
[AAS02-11] Investigation of Uncertainties in Regional Climate Information
Keywords:Regional Climate Modelling, Added Values, Ensemble
Climate change is the change in the frequency, intensity, spatial extent, duration, and timing of extreme weather and climate events (IPCC, 2013). Its impacts have already been visible across the globe. People in coastal regions, high mountains as well as lower-income and other marginalised communities, have less capacity to prepare for and cope with the extreme events and thus experience a more significant impact. However, in order to respond to climate change, reliable climate information and projections are necessary. These projections are estimated with the help of global and regional climate models. Projecting the climate scenarios involves uncertainties such as systematic errors associated with structural differences in models and inconsistencies between observations. Addressing these is as crucial as responding to global warming. In this study, we attempt to explore the uncertainties involved in climate information on a regional scale. We use an ensemble of GCM and RCM to obtain regional climate information of Japan, and investigate the possible uncertainties by comparing the ensemble simulations with the statistical metrics. With the result of this research, we hope to contribute to existing knowledge on climate uncertainties.