A Closer Look at Power-Law Scaling Applied to Sea Surface Temperature from Scripps Pier Using Empirical Mode Decomposition

Abstract The purpose of this study is to extract more information about the scaling exponents we obtain from sea surface temperature (SST) because their content limited a single value. We examine application empirical mode decomposition (EMD) power-law using SST Scripps Pier, California. daily observations employ extend 1920 2009, period 90 years. annual cycle and long-term trend were first removed. produced total 15 modes. then calculated separately for each EMD. have examined distribution with respect ensemble, individual modes oceanic processes that may infer them. three are antipersistent contain one-quarter variance. pattern was obtained continuous relatively smooth beyond 3 increasing values up 8 generally decreasing thereafter. exhibits intramodal correlation, as expected, intermodal correlation well. Intermodal likely due, most part, long-range persistence. in at Pier dominant feature record contains almost 70% A method removing not based on mean value introduced recommended future use.