Abstract: A methodology is presented to make an optimal use of the global SST for the prediction of seasonal climates. First, the space?time extended principal component analysis was applied to the key SST forcing regions, such as ...

Abstract: The variability of El Niño?La Niña events was analyzed in a low-dimensional phase space, a concept derived from dynamic system theory. The space?time extended EOFs derived from the observed monthly mean SST field over ...

Abstract: Empirical orthogonal function analyses of the time-height series of monthly mean zonal wind in the stratosphere have been performed. Conventional EOF analysis on the time series reveals that the quasi-biennial oscillation ...

Abstract: Extended empirical orthogonal functions (EOFs) are used to define a phase space for the analysis of tropical stratospheric wind data, extending our previous study of the quasi-biennial oscillation (QBO) in several manners. ...

Abstract: The statistical model proposed by Vautard et al. is applied to the seasonal prediction of surface air temperatures over North America (Canada and the United States). This model is based on sea surface temperature predictors ...

Abstract: Empirical orthogonal function (EOF) analyses are performed of time?height series of zonal and meridional winds and of cumulonimbus heating and drying in the Tropics. The data are from a rawinsonde array in the western ...