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Nick Guy and David P. Jorgensen

phenomena (e.g., El Niño–Southern Oscillation, North Atlantic Oscillation, Indian Ocean dipole); discussed further in Lau and Waliser (2005) and Zhang (2005) . Given the extensive impact of the MJO on global circulations, it is important to correctly simulate the MJO in forecast and climate models. However, current model simulations do not represent the MJO well ( Lin et al. 2006 ; Benedict and Randall 2009 ). This is due in part to an incomplete understanding of convective dynamics and

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George N. Kiladis, Juliana Dias, Katherine H. Straub, Matthew C. Wheeler, Stefan N. Tulich, Kazuyoshi Kikuchi, Klaus M. Weickmann, and Michael J. Ventrice

can be optimized with appropriate one-sided filtering when tuned to a fully filtered PC time series. A similar procedure can also be employed for model output where OLR or precipitation from short-period runs used in forecast experiments would also require smoothing. As was pointed out by Kikuchi et al. (2012) , it is likely that the smoothing algorithm utilized here could be improved upon by using more sophisticated techniques for one-sided filtering, as described for example by Arguez et al

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Jean-Philippe Duvel

of a few days. Many studies also show the more specific relation between the MJO and tropical cyclones (TCs) in different parts of the globe (e.g., Liebmann et al. 1994 ; Maloney and Hartmann 2000a , b ; Hall et al. 2001 ; Bessafi and Wheeler 2006 ; Ho et al. 2006 ; Camargo et al. 2009 ; Ramsay et al. 2012 ; Klotzbach 2014 ). The modulation of the cyclogenesis by the MJO is an important issue for forecasting the TC activity during a cyclone season. It is also important for understanding

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