To formulate appropriate emission reduction policies, it is important to accurately determine CO2 emissions. Especially for CO2 emissions from large emission sources and urban areas, their statistics and estimates are considered to have uncertainties, and highly accurate emissions are required. For this purpose, inversion analysis has been developed to estimate emissions by assimilating satellite data into a transport model. Since DIAL (Differential Absorption Lidar) provides spatial-temporal variations of vertical profiles, data assimilation of these profiles is expected to improve the accuracy of emission estimation. We have developed a direct-detection 1.6-μm DIAL. Since 2015, we have observed the vertical profiles of CO2 concentration during the daytime and nighttime from 0.5km up to 2.5 km in western Tokyo. In this study, as a preliminary step of quantitative emission estimation, we attempted to estimate sources satisfying the characteristic diurnal variations of vertical profiles of CO2 concentration in the boundary layer observed by DIAL using simple CO2 transport and dispersion model calculations.
Abo et al. (Thu,) studied this question.