This project developed monitoring technologies and prediction models to detect and discriminate atmospheric sources of CO2 in CCS locations. It defined an area-integrated measurement network to detect and triangulate anomalous sources with high probability. Significant development on the open-path lidar based FTIR (fourier-transform infrared spectroscopy) was attained throughout the project, with pathlengths up to 1.5 km (one-way) achieved with measurement precision of better than 0.1% for CO2. The forward model prediction system uses signals detected by the network to estimate fluxes within the region from contributing sources of CO2. The research showed the limitations of this onshore network to detect and attribute anomalous signals from the vicinity of the proposed storage location. This was due to the atmospheric variability combined with distance to the offshore injection site.