Assessing the long-term variation/change of wind and wave climate is vital for sustainable development purposes. The long-term variability includes both global warming impacts and natural fluctuations. Typically, spatio-temporal assessment of wind and wave climate is carried out in inter and intra-annual scales, and decadal analysis does not exceed a few decades due to the lack of availability of long-term dataset. The sixth version of the Model for Interdisciplinary Research on Climate (MIROC6) simulates the internal variations on daily-tomulti-decadal timescales that are generated due to the model's dynamics containing both signals of global warming and internal variations. This study utilized 160 years of historical simulation of the wind field obtained from MIROC6 to analyze the decadal variability of wind and wave, globally, to investigate the rate of change in different time slices. Decadal variation was obtained in terms of the rate of change per decade in order to specify the areas with higher climate stability.