Air pollution satellite-based CO₂ emission inversion: system evaluation, sensitivity analysis, and future perspective

Abstract. Simultaneous monitoring of greenhouse gases and air pollutant emissions is crucial for combating global warming and air pollution to prevent irreversible damage. We previously established an air pollution satellite-based carbon dioxide (CO₂) emission inversion system, successfully capturing CO₂ and nitrogen oxides (NO_x) emission fluctuations amid socioeconomic changes. However, the system's robustness and weaknesses have not yet been fully evaluated. Here, we conduct a comprehensive sensitivity analysis with 31 tests on various factors including prior, model resolution, satellite constraint, and inversion system configuration to assess the vulnerability of emission estimates across temporal, sectoral, and spatial dimensions. The Relative Change (RC) between these tests and Base inversion reflects the different configurations' impact on inferred emissions, with one standard deviation (1σ) of RC indicating consistency. Although estimates show increased sensitivity to tested factors at finer scales, the system demonstrates notable robustness, especially for annual national total NO_x and CO₂ emissions across most tests (RC < 4.0 %). Spatiotemporally diverse changes in parameters tend to yield inconsistent impacts (1σ ≥ 4 %) on estimates, and vice versa (1σ < 4 %). The model resolution, satellite constraint, and NO_x emission factors emerge as the major influential factors, underscoring their priority for further optimization. Taking daily national total CO₂ emissions as an example, RC±1σ they incur can reach -1.2±6.0 %, 1.3±3.9 %, and 10.7±0.7 %, respectively. This study reveals the robustness and areas for improvement in our air pollution satellite-based CO₂ emission inversion system, offering opportunities to enhance the reliability of CO₂ emission monitoring in the future.