Why Are the High Frequency Structures of the Sea Surface Temperature in the Brazil–Malvinas Confluence Area Difficult to Predict? An Explanation Based on Multiscale Imagery and Fractal Geometry

The Brazil–Malvinas Confluence (BMC) is one of the most complex oceanic areas in Earth’s oceans and prediction high frequency structures tends to fail. authors studied BMC using Multiscale Ultrahigh Resolution (MUR) imagery for Sea Surface Temperature (SST) address why predictions are not as good expected. studies were carried out by means two approaches. first approach non-linear fitting a harmonic model keeping frequencies parameters pixel pixel. second from fractal geometry. three q-order Rényi dimensions computed. At same time, an inverse interpolation was compute contraction factor. Both them related chaotic behavior nature. This work has relevant contributions. correlation between models SST data quite poor general, implying low harmonicity, predictability, pixel-by-pixel time series. It verified that quasi-annual quasi-semiannual waves have periods about 420 210 days, respectively. confirmation complexity area because equal. strong finding monofractality dynamic BMC. Finally, factor, interpolation, relatively high, presence highly internal temporal evolution.