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Masamichi Ohba, Shinji Kadokura, Yoshikatsu Yoshida, Daisuke Nohara, and Yasushi Toyoda

. Recent studies also demonstrate the existence of a link between the frequency of occurrence of extreme events and ENSO-related WPs (e.g., Casola and Wallace 2007 ). Identification of the WP associated with the extremes enables us to determine the physical mechanisms by which precipitation extremes are impacted by global signals. In this context, the WP classification can be a bridging tool between climate signals and local extreme rainfall. The relationship between frequency of heavy precipitation

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Yudong Tian, Christa D. Peters-Lidard, and John B. Eylander

, and this approach leaves some artifacts that result from the disparity between satellite-based estimates and isolated gauge reports ( Tian et al. 2009 ). Recently Xiong et al. (2008) and Janowiak et al. (2009) proposed a procedure to correct the National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center (CPC) Morphing technique (CMORPH; Joyce et al. 2004 ) in real time. This procedure first performs bias correction for CMORPH with the (probability density function) PDF

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