Abstract: This system utilizes satellite observations of sea level variations, and relates them to wind stress through the use of an algorithm that generates a relationship between long time period climatologies of both sea level and wind stress. A linear transfer function is utilized in the algorithm. The algorithm provides a solution to the problem of generating the response function to an under-sampled process and allows wind stress distant in space and lagged time to affect the sea level variations at all points. The resulting statistical model allows direct prediction of wind driven setup or setdown at the climatological observation points given a prediction of only the wind stress field. Minimizing the expected error variance generates the optimal estimation of the time invariant linear transfer function. This leads to an extended empirical orthogonal function (EEOF). The sea surface height (SSH) response to each wind mode is determined.