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Kevin Raeder, Jeffrey L. Anderson, Nancy Collins, Timothy J. Hoar, Jennifer E. Kay, Peter H. Lauritzen, and Robert Pincus

also section 5a ; Kay et al. 2011 , hereafter Kay2011 ). b. CAPT For much of the last decade, the Cloud-Associated Parameterization Testbed (CAPT) project ( Phillips et al. 2004 ; www-pcmdi.llnl.gov/projects/capt) has used short-term forecasts to gain insights into parameterization errors in climate models ( Klein et al. 2006 ; Xie et al. 2008 ). To date CAPT has initialized these forecasts from analyses provided by operational weather centers for reasons that are partially pragmatic (ensemble

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Richard B. Neale, Jadwiga Richter, Sungsu Park, Peter H. Lauritzen, Stephen J. Vavrus, Philip J. Rasch, and Minghua Zhang

particular resolution, it has to establish sufficient skill at capturing the underlying large-scale patterns of persistence. Previous versions of CAM have been analyzed for their skill in producing realistic blocking characteristics in AMIP simulations ( D'Andrea et al. 1998 ) based on the operational weather forecast blocking index of Tibaldi and Molteni (1990) . Figure 14 shows the performance in CAM3 and CAM4 model configurations. Blocking statistics are somewhat variable from one year to the next

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Jenny Lindvall, Gunilla Svensson, and Cecile Hannay

version 5 (CAM5; Neale et al. 2010b ), but CESM may also be run with CAM4 ( Neale et al. 2010a ). Both versions are operational and both are used in the Coupled Model Intercomparison Project phase 5 (CMIP5) experiments. CAM4 and CAM5 contain substantially different parameterizations of the PBL. This gives an opportunity to study two very different atmospheric model versions that both use the same land model and therefore to compare two fundamentally different PBL schemes in the same modeling

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Alexandra Jahn, Kara Sterling, Marika M. Holland, Jennifer E. Kay, James A. Maslanik, Cecilia M. Bitz, David A. Bailey, Julienne Stroeve, Elizabeth C. Hunke, William H. Lipscomb, and Daniel A. Pollak

operational ice charts for evaluating passive microwave ice concentration data . Atmos.–Ocean , 41 , 317 – 331 , doi:10.3137/ao.410405 . Arctic Climate Impact Assessment , 2005 : Impacts of a warming Arctic: Arctic Climate Impact Assessment 2005 . Cambridge University Press, 1042 pp . Arnell , N. W. , 2005 : Implications of climate change for freshwater inflows to the Arctic Ocean . J. Geophys. Res. , 110 , D07105 , doi:10.1029/2004JD005348 . Bitz , C. M. , and W. H. Lipscomb , 1999

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