Unifided approach of climate modeling and satellite data analysis toward reducing uncertainty of climate change projection

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Future projection of global mean temperature rise has contained uncertainty, even in the latest IPCC Assessment Report. This uncertainty is partly attributed to potential errors in parameterization processes (of clouds in particular) in global climate models (GCMs). Therefore, this study attempted to clarify sources of uncertainty in cloud feedbacks to climate warming by generating a large ensemble in which model parameters as well as parameterization schemes have been perturbed. Also, satellite data for cloud properties were actively used to assess climate model simulations.Physics ensemble based on the MIROC GCM is a novel set of numerical experiments to explore the cloud feedback processes, and was successfully recognised in international climate science community. Comparisons of mean cloud and cloud macrophysical properties between GCM and satellite data could prodive clues for improving GCM for the subsequent climate change projection.