The direct and reflected GNSS signals will be inverted to geophysical quantities including sea surface height, sea state and surface wind speed with given accuracies and spatial resolution to be compliant with coincidently observed scatterometry and altimetry data. This collocation will ensure the ability to investigate the noise characteristics of the GNSS signals under different wind regimes, sea state and spatial resolutions for both the open ocean and the coastal seas.
In addition specific campaigns will be dedicated to the use of combined drone experiments in areas of dynamic surface current regimes together with possibly simultaneous measurements from ship and buoys for joint observations of wind speed, sea state, SST and surface current. These campaigns will also take full benefit of additional satellite sensor synergy (IR, altimetry, scatterometry, SAR, imaging spectrometer and sun glint), experimental surface roughness simulation models (order 10 ́s m) and fine resolution (order km) numerical ocean models. Altogether this will allow the surface roughness to be quantified and assessed according to mean square slope, wave spectrum, wind speed, wind stress, surface velocity, SST, surface chlorophyll a concentration, dissolved organic matter.
The new data products derived from the GNSS signals will be considered in respect to existing application and services with particular focus of the retrievals across dynamic oceanic surface current regimes and in coastal regions. Initially the data will therefore have significant interest in the ocean satellite research community (e.g. see projects listed in the next section). If the retrieval accuracy is satisfactory (e.g. comparable to scatterometry and altimetry) these data products are also expected to gradually become useful for both marine weather forecasting and marine (core and downstream) modelling and forecasting.