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Paul A. Dirmeyer, Yan Jin, Bohar Singh, and Xiaoqin Yan

's native grid for only ice-free land points based on each model's land–sea ice mask. The data from each model are then interpolated bilinearly onto the operational grid of the European Centre for Medium-Range Weather Forecasts operational forecast model, which is T1279 or a regular longitude–latitude grid of 2560 × 1280 grid boxes. This is a much higher resolution than any of the CMIP5 models, thus ensuring that information content is not lost in the process of interpolation through smoothing, either

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Suzana J. Camargo

climate models ( Landman et al. 2005 ; Camargo et al. 2007b ) and operationally in the International Research Institute for Climate and Society (IRI) TC seasonal dynamical forecast ( Camargo and Barnston 2009 ). Here the algorithm was slightly modified to use 850-hPa wind speed instead of surface wind speed and three instead of four temperature levels (850, 500, and 300 hPa) due to their unavailability in the CMIP5 6-hourly data. The Camargo–Zebiak algorithm is an objective algorithm for detection

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Meng-Pai Hung, Jia-Lin Lin, Wanqiu Wang, Daehyun Kim, Toshiaki Shinoda, and Scott J. Weaver

1. Introduction Tropical convection is often organized into synoptic- to planetary-scale disturbances whose time scale is less than a season (~90 days) ( Wheeler and Kiladis 1999 , hereafter WK ; Wheeler and Weickmann 2001 ). This “subseasonal” variability plays an important role in the global climate system by modulating the location and timing of tropical deep convection and has been suggested as a key source of untapped predictability for the extended-range forecasts in both the tropics

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