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Hiroyuki Murakami, Pang-Chi Hsu, Osamu Arakawa, and Tim Li

. Acknowledgments This work was conducted under the framework of the “Projection of the Change in Future Weather Extremes Using Super-High-Resolution Atmospheric Models” supported by the KAKUSHIN and SOUSEI programs of the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan and sponsored by ONR Grant N000141210450. Calculations were performed on the Earth Simulator. H.M. was supported by the “Research on Prediction of Climate and Environmental Change to Contribute to Mitigation Plan

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Malcolm J. Roberts, Pier Luigi Vidale, Matthew S. Mizielinski, Marie-Estelle Demory, Reinhard Schiemann, Jane Strachan, Kevin Hodges, Ray Bell, and Joanne Camp

1. Introduction There is an increasing need for skillful climate information at regional and local scales, particularly for considering variability and extremes, in order to inform future planning and impact risk assessments, both to prepare for climate change and to investigate opportunities for renewable energy and for the insurance and reinsurance industries to understand risk. Current phase 5 of the Coupled Model Intercomparison Project (CMIP5)-class models ( Taylor et al. 2012 ) generally

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