In this study,the interannual variability of wind power input(WPI) is investigated by MITgcm.The response of WPI to climate change is also analyzed.The result of the simulation indicates that the responses of the WPI to the world ocean to the climate change signifycantly.The areas of high value of time-mean WPI to the ocean are located in the middle and high latitude regions,such as the South China Sea,Kuroshio Current and Gulf Stream, due to the fact that the synoptic scale disturbance of atmosphere is significant in these areas.Moreover,the areas of high decadal variability of the WPI to the ocean are located in the South China Sea and Storm Tracks.The value of max WPI increases and the area of max WPI shifts northward in the North Atlantic,resulting from the strengthening and northward-shifting Storm Tracks in the positive phase of North Atlantic Oscillation(NAO). However,there is a greater amount of WPI that travels into the Gulf Stream when the phase of NAO is negative. The WPI to the South China Sea has been increasing with the increasing intensity of Westerlies in the recent decades, and the area of max WPI has shifted southward as the Westerlies shift southward in the Southern Hemisphere. Similarly,the WPI to the Antarctic coastal current increases significantly during this period.The Empirical Orthogonal Function(EOF) analysis shows that the variability of the WPI to the North Atlantic Ocean is dominated by the NAO,while the second and third modes indicate the distributions of the WPI to the oceans during positive phase or negative phase of the NAO.The Southern Annual Mode (SAM) leads to the first EOF mode in the South China Sea,while the second and third modes are related to the El Nino-Southern Oscillation (ENSO).The decadal variability of the WPI to the South China Sea has been increasing significantly in recent decades,while it has decreased in middle and high latitudes in the northern hemisphere.