Using satellite data and atmospheric inversion modelling to estimate CO2 budgets in nationally relevant scales: project FICOCOSS

Nations are accountable for their GHG emissions, and since the Paris Agreement, progress towards national emission reductions is tracked. To facilitate this, atmospheric inversion modelling is employed as the state of-the-art means to collect information from GHG observations to quantify sources and sinks. High-resolution estimation of GHG fluxes in Northern High Latitudes greatly benefits from developments in satellite data analysis and computational methods. FICOCOSS project develops these methods and assimilates OCO-2 satellite data in atmospheric inversion models (CIF-FLEXPART, CIF-TM5-MP) to estimate CO2 sources and sinks. We prepare for the high intensity CO2M satellite by developing more efficient computational methods related to e.g. large error covariance matrix operations and satellite retrieval processing. Preliminary findings indicate that more efficient methods can be developed for using satellite CO2 data in high resolution inversions.