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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

. (2010) proposed a methodology for combining the radar reflectivity profile from CloudSat ( Marchand et al. 2008 ) and the cloud properties (optical thickness and effective radius) from MODIS ( Platnick et al. 2003 ; Nakajima et al. 2010 ) to probe how the warm rain process occurs within clouds. The methodology composites the radar reflectivity profiles in the form of the probability density function normalized at each in-cloud optical depth, which is determined by vertically slicing the cloud

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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

Bretherton et al. (2004) scheme utilizes a single bulk plume that entrains and detrains at each model layer. While the lateral mixing rate is largely specified, the vertical profile of entrainment/detrainment rate is determined interactively by a parcel buoyancy sorting algorithm so that the cloud vertical mass flux can either increase or decrease with height depending on the thermodynamic properties of cloud environment. Attempts at using the single bulk plume model for representing both shallow and

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Yi-Hung Kuo, Kathleen A. Schiro, and J. David Neelin

varying spatial resolution and temporal frequency, the dependence of the convective transition statistics on spatial–temporal resolution must be quantified. Moreover, the robustness to instrumentation, especially at high rain rate, should be addressed to ensure the reliability of such diagnostics. The purposes of this study are to quantify the resolution dependence and robustness of the statistics, to provide an observational baseline for model comparison, and to expand the set of related properties

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