CMAQ simulation of atmospheric CO2 concentration in East Asia: Comparison with GOSAT observations and ground measurements.

Satellite observations are widely used in global CO 2 assimilations, but their quality for use in regional assimilation systems has not yet been thoroughly determined. Validation of satellite observations and model simulations of CO 2 is crucial for carbon flux inversions. In this study, we focus on evaluating the uncertainties of model simulations and satellite observations. The atmospheric CO 2 distribution in East Asia during 2012 was simulated using a regional chemical transport model (RAMS-CMAQ) and compared with both CO 2 column density (XCO 2 ) from the Gases Observing SATellite (GOSAT) and CO 2 concentrations from the World Data Centre for Greenhouse Gases (WDCGG). The results indicate that simulated XCO 2 is generally lower than GOSAT XCO 2 by 1.19 ppm on average, and their monthly differences vary from 0.05 to 2.84 ppm, with the corresponding correlation coefficients ranging between 0.1 and 0.67. CMAQ simulations are good to capture the CO2 variation as ground-based observations, and their correlation coefficients are from 0.62 to 0.93, but the average value of CMAQ simulation is 2.4 ppm higher than ground-based observation. Thus, we inferred that the GOSAT retrievals may overestimate XCO 2 , which is consistent with the validation of GOSAT XCO 2 using Total Carbon Column Observing Network measurements. The near-surface CO 2 concentration was obviously overestimated in GOSAT XCO 2 . Compared with the relatively small difference between CMAQ and GOSAT XCO 2 , the large difference in CO2 near surface or their vertical profiles indicates more improvements are needed to reduce the uncertainties in both satellite observations and model simulations. [ABSTRACT FROM AUTHOR]