Abstract: Monthly anomaly series of the sea surface temperature (SST) for the eastern equatorial Pacific are simulated by a stochastic-dynamic model. Composed of second order differential equations and two stochastic forcings, it represents air-sea interactions.The response spectrum of SST is dependent on feedback coefficients determined with a nonlinear least square method. Observed SST series go from Jan-1951 to Dec. 1980 and normalized power spectra are calculated for the observed and simulated series.Using centered differences, a difference equation is derived to define monthly simulated SST anomalies. The correlation coefficient between the simulated and observed series is 0.826 and the explained variance of simulated series is 0.682.Main variation of SST is due to an outer periodic forcing with a period of 12 months from the sun. Periodic forcing is then imposed. There are three experi-ments with the simulation.The effect of the one in whi’ch both air and sea systems have forcing is the bestAnnual periodic forcicing enhances more than 1% of the explained variance.The annual SST series are reconstructed from the simulated monthly series.The correlation coefficient between the simulated and observed annual series is 0.98. It fol-lows that the present model can simulate very well various SST characteristics in the said region.