Using space-based NO2 observations to indirectly estimate anthropogenic CO2 emissions

Since anthropogenic NO_x (NO_x=NO+NO₂) and CO₂ are co-emitted species for anthropogenic sources, some studies have used the NOx emissions retrieved from satellite observations to infer the anthropogenic CO₂ emissions. However, these studies did not consider the fact that satellites measure total NO₂ concentrations and their inferred emissions encompass both biogenic and anthropogenic sources. In this study, we introduce a method to distinguish soil NO_x emissions from satellite-based total NO_x emissions. The total NO_x emissions are derived by the state-of-the-art inverse algorithm DECSO (Daily Emission estimation Constrained by Satellite Observations, Mijling and van der A, 2012; Ding et al., 2017a) from TROPOMI observations. Using the characteristic seasonal cycle of soil emissions we derive these emissions for representative regions with only biogenic emissions, which are then applied to nearby regions according land-use fractions. To evaluate this approach, we compared the deviation between the tropospheric NO₂ concentration observed by satellite and two atmospheric composition model simulations: one using the satellite-derived soil NO_x emissions and another with the Copernicus Atmosphere Monitoring Service (CAMS) global soil emissions inventory (CAMS-GLOB-SOIL). Once the soil NO_x emissions are derived, they can be subtracted from the total emissions to get anthropogenic NO_x emissions. Subsequently anthropogenic CO₂ emissions can be estimated using known CO₂/NO_x factors from bottom-up inventories. The annual CO₂ emissions derived from DECSO (called DECSO-CO₂) in our study area (large part of Europe) is 3.7 Gt in 2019, which is comparable with the 3.2 Gt of the CAMS CO₂ inventory (called CAMS-CO₂). The DECSO-CO₂ and CAMS-CO₂ are comparable for most large sources and cities, but the DECSO-CO₂ show a larger number of low emission spots than the CAMS-CO₂. The results demonstrate the potential for DECSO to expand its application to other regions in the world with less information on anthropogenic CO₂ emissions.