Earth observation satellites for offshore wave and wind applications

The ORE sector continuously requires accurate data, particularly regarding significant wave height and wind speed, which are key variables necessary to characterize the operational and environmental conditions of offshore wind farms. In this context, accurate data can support decision-making for a specific site to meet these conditions and, most importantly, facilitate continuous energy generation. In-situ platforms can help collect accurate data, but they are quite expensive and frequently experience malfunctions, leading to discontinuous observations. In this scenario, satellites play an important role as they are capable of acquiring accurate data with discrete temporal resolution. This thesis aims to evaluate the performance of satellite altimetry data by collocating it with fixed-point positions, between satellite altimetry data and in-situ data, using a spatio-temporal matching method, exploring different criterions. Moreover, several bias correction techniques are applied to calibrate satellite data against in-situ data to improve the quality of satellite assimilated dataset, aligning it more closely with in-situ and and unlock their potential in providing environmental insights.