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decomposition (SVD) to the cross-covariance matrix C between Y and Z to maximize it. The SVD is an algebraic technique to diagonalize nonsquare matrices, like the covariance matrix of two fields with different sizes ( von Storch and Frankignoul 1998 ). The S4CAST performs cross-validated hindcasts following the leave-one-out method ( Dayan et al. 2014 ). This method is intended as a model validation technique. In the first step, data for the predictor and the predictand fields are removed for a
decomposition (SVD) to the cross-covariance matrix C between Y and Z to maximize it. The SVD is an algebraic technique to diagonalize nonsquare matrices, like the covariance matrix of two fields with different sizes ( von Storch and Frankignoul 1998 ). The S4CAST performs cross-validated hindcasts following the leave-one-out method ( Dayan et al. 2014 ). This method is intended as a model validation technique. In the first step, data for the predictor and the predictand fields are removed for a
information documented for analysis. Fig . 1. Map of some of the significant severe weather events that occurred across north Texas from 1900 to 2200 CDT 15 May 2013. Tornado tracks for the tornadoes discussed within this paper have been outlined and shaded, with darker shades representing a stronger EF-scale rating from the ground survey. Squares in the inset image are baseball-sized or larger hail reports. Triangles represent nontornadic wind damage reports. City names are included in the inset image
information documented for analysis. Fig . 1. Map of some of the significant severe weather events that occurred across north Texas from 1900 to 2200 CDT 15 May 2013. Tornado tracks for the tornadoes discussed within this paper have been outlined and shaded, with darker shades representing a stronger EF-scale rating from the ground survey. Squares in the inset image are baseball-sized or larger hail reports. Triangles represent nontornadic wind damage reports. City names are included in the inset image
data ( Smith et al. 2008 ). Only the SST data over the 1970–2000 period are used in this study. We first compute lagged correlation maps between the JAS Senegal rainfall and SST in each of April, May, and June ( Fig. 3 ). First, there is a positive correlation between tropical Atlantic SST and West Sahel rainfall, implying that wetter years are associated with warmer SST in this basin through a northward migration of the intertropical convergence zone over the tropics. Second, West Sahel rainfall
data ( Smith et al. 2008 ). Only the SST data over the 1970–2000 period are used in this study. We first compute lagged correlation maps between the JAS Senegal rainfall and SST in each of April, May, and June ( Fig. 3 ). First, there is a positive correlation between tropical Atlantic SST and West Sahel rainfall, implying that wetter years are associated with warmer SST in this basin through a northward migration of the intertropical convergence zone over the tropics. Second, West Sahel rainfall
