  In this work we use the random matrix theory (RMT) to correctly describethe
behavior of spectral statistical properties of the sea surface temperatureof
oceans. This oceanographic variable plays an important role in theglobalclimate
system. The data were obtained from National Oceanic and Atmo-spheric
Administration (NOAA) and delimited for the period 1982 to 2016.The results
show that oceanographic systems presented specific $\beta$ values thatcan be
used to classify each ocean according to its correlation behavior.
Thenearest-neighbors spacing of correlation matrix for north, central and south
ofthe three oceans get close to a RMT distribution. However, the regions
delim-ited in the Antarctic pole exhibited the distribution of the
nearest-neighborsspacing well described by the Poisson model, which shows
astatistical changeof RMT to Poisson fluctuations.
