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Atmospheric carbon dioxide (CO2) is a long-lived greenhouse gas that significantly contributes to global warming. Long-term and continuous measurements of atmospheric CO2 to investigate its global distribution and concentration variations are important for accurately understanding its potential climatic effects. Satellite measurements from space can offer atmospheric CO2 data for climate change research. For that, ground-based measurements are required for validation and improving the precision of satellite-measured CO2. We implemented observation experiment of CO2 column densities in the Xilinguole grasslands in Inner Mongolia, China, using a ground-based measurement system, which mainly consists of an optical spectrum analyzer (OSA), a sun tracker and a notebook controller. Measurements from our ground-based system were analyzed and compared with those from the Greenhouse gas Observation SATellite (GOSAT). The ground-based measurements had an average value of 389.46 ppm, which was 2.4 ppm larger than from GOSAT, with a standard deviation of 3.4 ppm. This result is slightly larger than the difference between GOSAT and the Total Carbon Column Observing Network (TCCON). This study highlights the usefulness of the ground-based OSA measurement system for analyzing atmospheric CO2 column densities, which is expected to supplement the current TCCON network.

A Ground-based validation of GOSAT-observed atmospheric CO2 in Inner-Mongolian grasslands

A Ground-based validation of GOSAT-observed atmospheric CO₂ in Inner-Mongolian grasslands