CO2 is the greenhouse gas that influenced by human activities most and has a great impact on the climate change. Monitoring of global CO2 variations on a basis of, high precision has great significance for the study of global climate change and carbon cycle, as well as the understanding of CO2 sources and sinks. This study develops the forward model and inversion software system GF_VRTM-V1.0 for space-borne near-infrared hyperspectral measurements of CO2 into a ground-based observation version. The simulation results are compared with the ground-based data of the column-averaged mole fraction of carbon dioxide measured at Fuling, and showed general agreement.
The spectra of O2 A-band (0.76 μm) and CO2 near-infrared emissions (1.6 μm) for Medium-resolution Satellite (SCIAMACHY) are simulated by the SCIATRAN model (V3.1.29), and compared with the ESFT and LBL method, as the inversion accuracy and time consuming. The time consuming of LBL was more than ESFT with the relative error less than 1%, especially for the CO2 band. But for the CO2 (2.0 um) of High-resolution Satellite, the opposite result was found. That is to say, the LBL method was more suitable for High-resolution Satellite. Different wavelength intervals and integral wavelength steps are applied to the LBL to select the most appropriate combination for High-resolution SatelliteO2 A-band (0.76 μm) and CO2 near-infrared band (1.58 μm).