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Young-Kwon Lim, Siegfried D. Schubert, Oreste Reale, Myong-In Lee, Andrea M. Molod, and Max J. Suarez

results of the sensitivity experiments are presented in section 3 , including TC numbers, intensity, life cycle, and spatial structure of the strongest hurricanes. We investigate in section 4 the relevant atmospheric dynamics and physics to explain the TC activity changes that occur as a result of the modifications to the parameterized deep convection. Some verification of the atmospheric basic state changes due to the deep convection changes is also provided in section 4 , followed by concluding

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

ultimate goal is to generate ensemble means using models that reduce the inheritance of biases to increase the reliability of information on projections of future changes in FOCs. On the other hand, the multimodel ensemble approach has been widely discussed in the literature for comprehensive forecast and projection frameworks such as short-range weather forecasting ( Raftery et al. 2005 ; Casanova and Ahrens 2009 ), seasonal forecasting ( Tippet et al. 2005 ; Casanova and Ahrens 2009 ), decadal

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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

general circulation models (CGCMs) implemented at horizontal resolutions that allow multicentennial integrations under a variety of forcing scenarios, often with full Earth system biogeochemistry components. To address such issues, a long-standing collaboration exists between the Met Office and the University of Reading to develop “weather resolving” climate models, which are able to capture typical weather features such as fronts and atmospheric rivers (as found in a weather forecast) while also

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