The Gulf of Guinea (GoG) coastal area is one of the most vulnerable areas to climate change impacts owing to its high exposure to hazards and low coping capacity being located in developing countries. The region is also grossly under-observed when it comes to mete-ocean processes such as waves. The wave climate of this region, which is the average wave condition over long period, is relatively uniform across the countries covered including Cote d’Ivoire, Ghana, Togo, Benin and Nigeria. The need to improve regional database to allow studies on spatio-temporal scale sufficient for decision making on regional problems warrants taking advantage of relatively cheaper data acquisition methods such as modelling. Therefore, this study seeks to model and assess the trends in the nature of past wave climate in the GoG. This past trend will be used to determine the likely potential future trends of the wave climate as a result of climate change in this region. This task will include using hydrodynamic spectral model to run a hindcast of the wave conditions (wave height, wave period and wave direction) between (1980-2019); validating model generated data using available in-situ, model, and satellites data (where available); assessing the trends in the wave conditions on a monthly, annual, seasonal and decadal basis as well as the effect of trends in extreme wave climate on coastal structures closer to the coast during the years covered. This research is expected to provide model data with high correlation with in-situ data serving as basis for other studies such as regional-scale sediment transport budget in Gulf of Guinea. A clearer picture of the spatio-temporal distribution of the wave condition of this region is expected to be gotten to drive dynamical or statistical projections of the future wave climate in GoG.