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Abby Stevens, Rebecca Willett, Antonios Mamalakis, Efi Foufoula-Georgiou, Alejandro Tejedor, James T. Randerson, Padhraic Smyth, and Stephen Wright

-LENS simulations are produced on a different spatial grid from that of the SST observations, we interpolated late summer and early fall SSTs from CESM-LENS linearly onto the observation grid. We emphasize that the CESM-LENS outputs are used only to estimate the covariance matrix of the predictors, while the training of our model (estimation of the regression parameters and coefficients) and its performance evaluation (see section 4 ) are always performed using the observed SST and precipitation series in the

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Clément Guilloteau, Antonios Mamalakis, Lawrence Vulis, Phong V. V. Le, Tryphon T. Georgiou, and Efi Foufoula-Georgiou

interpretability. 5. Conclusions The need for understanding patterns of variability and change in climate signals for the purpose of predictive and diagnostic analysis (e.g., for regional prediction, untangling the forced signal from internal variability, and diagnosing the performance of climate models) has never been more imperative. Classical PCA is a well-developed mathematical analysis tool that has been used extensively in climate studies. Its extension in the Fourier frequency domain, the spectral PCA

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Stephen E. Lang and Wei-Kuo Tao

. Zuluaga , and R. A. Houze Jr ., 2015 : Latent heating characteristics of the MJO computed from TRMM observations . J. Geophys. Res. Atmos. , 120 , 1322 – 1334 , . 10.1002/2014JD022530 Chern , J.-D. , W.-K. Tao , S. Lang , T. Matsui , J.-L. F. Li , K. Mohr , G. Skofronick-Jackson , and C. Peters-Lidard , 2016 : Performance of the Goddard multiscale modeling framework with Goddard ice microphysical schemes . J. Adv. Model. Earth

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