Developments in HPC will provide timely policy-relevant information on the use of atmospheric data for greenhouse gas (GHG) budgeting to support national inventories. LUMI resources will be applied to the use of satellite-based GHG observations in atmospheric inverse modelling of emissions and removals, with the aim of improving the spatial resolution of these models while reducing the computational time required, to increase the readiness for operational GHG systems and future high-intensity satellite observations. GHG source identification will be improved using novel satellite data and machine learning together with high-dimensional data cubes. Collaboration with NASA JPL, CSU and JAXA on the use of advanced mathematical tools and satellite data will improve GHG modelling and source categorisation in LUMI environment. Current GHG (CO2 and CH4) emissions and removals and their uncertainties will be estimated globally and at scales relevant for national decision making.

2025

2027