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Catherine M. Naud, James F. Booth, Jeyavinoth Jeyaratnam, Leo J. Donner, Charles J. Seman, Ming Zhao, Huan Guo, and Yi Ming

applied in the cloud parameterization that ensures radiative balance. The convective parameterizations are a two-plume model as used in the most recent release of the model AM4.0 described in Zhao et al. (2018a , b) and a multiplume model as described in Donner et al. (2011) . Herein, we compare both versions of the model to cloud cover observations obtained with the Moderate Resolution Imaging Spectroradiometer (MODIS; Salomonson et al. 1989 ) and the two active instruments on board CloudSat

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Eric D. Maloney, Andrew Gettelman, Yi Ming, J. David Neelin, Daniel Barrie, Annarita Mariotti, C.-C. Chen, Danielle R. B. Coleman, Yi-Hung Kuo, Bohar Singh, H. Annamalai, Alexis Berg, James F. Booth, Suzana J. Camargo, Aiguo Dai, Alex Gonzalez, Jan Hafner, Xianan Jiang, Xianwen Jing, Daehyun Kim, Arun Kumar, Yumin Moon, Catherine M. Naud, Adam H. Sobel, Kentaroh Suzuki, Fuchang Wang, Junhong Wang, Allison A. Wing, Xiaobiao Xu, and Ming Zhao

) MODIS Aqua and (c) CloudSat–Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation ( CALIPSO ). Model data: GFDL pre-CMIP6 model that uses a two-plume convection scheme (i.e., 1400 local time). Composites are generated using cyclones or fronts from 5 years of observations or model data, within the 30°–60° latitude band in both hemispheres. The plus sign in the top row represents the center of the cyclones. The region between the black dashed lines in the top row is the approximate

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