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Zhe Feng, Fengfei Song, Koichi Sakaguchi, and L. Ruby Leung

: Calculations with the AER radiative transfer models . J. Geophys. Res. , 113 , D13103 , . 10.1029/2008JD009944 Jankov , I. , and W. A. Gallus Jr. , 2004 : MCS rainfall forecast accuracy as a function of large-scale forcing . Wea. Forecasting , 19 , 428 – 439 ,<0428:MRFAAA>2.0.CO;2 . 10.1175/1520-0434(2004)019<0428:MRFAAA>2.0.CO;2 Ju , L. , T. Ringler , and M. Gunzburger , 2011 : Voronoi tessellations and

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Allison A. Wing, Suzana J. Camargo, Adam H. Sobel, Daehyun Kim, Yumin Moon, Hiroyuki Murakami, Kevin A. Reed, Gabriel A. Vecchi, Michael F. Wehner, Colin Zarzycki, and Ming Zhao

) . CAM5 utilizes 30 vertical levels with a model top of approximately 2 hPa. The prescribed SST and sea ice boundary dataset for both simulations is provided from Hurrell et al. (2008) . Both CAM-SE and CAM-FV use similar versions of the CAM5 physics parameterizations, including the same deep ( Zhang and McFarlane 1995 ) and shallow convective ( Park and Bretherton 2009 ) schemes, moist boundary layer turbulence scheme ( Bretherton and Park 2009 ), and Rapid Radiative Transfer Model for GCMs (RRTMG

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Fiaz Ahmed and J. David Neelin

the modes of the environmental air transfer—dynamic or turbulent—per se. We now introduce the different measures of buoyancy that will feature in this study. a. Quantifying environmental influence on convection Consider a steady-state bulk plume with a property that is conserved in the updraft . Assume that the corresponding environmental value interacts with the plume through an influence function , such that at any vertical level z can be written as In this formulation, at any level z

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