Since 2008, the Instituto Español de Oceanografía (IEO) keeps installed a thermosalinometer (TSG) on board of R/V J.M. Navaz that operates on Galician coastal waters. Weekly, it covers the area between Vigo and Muros in the framework of an harmful algal bloom monitoring. High resolution and quality coastal data are very important in order to develop accurate behavior models. The TSG continuously measures the sea subsurface salinity, temperature, and fluorescence along the ships tracks. The classical approach to distribution maps is performing objective analysis of the collected data and assumes errors associated to coastal features. Data-Interpolating Variational Analysis (DIVA) allows the spatial interpolation of data over an adaptable mesh grid, taking into account coastlines and inlets, but also advection constraints. Calculations are optimized and rely on a finite element resolution and the software allows optimizing the analysis parameters, checking for duplicates and performing quality controls. The results of performing and compare DIVA and objective analysis show slight differences that can be appreciated between the inner part of the inlets and the open sea areas. The relative length of the whole data set allows considering also monthly, seasonal and annual variability. These climatological results, that will be updated systematically, can be useful not only for scientific research but also for coastal management activities. All this products, together with quality check flags and metadata information, give added value to the original TSG measures and that will allow a future reuse of data.