Prototype Development of Algorithms for CH4 and CO2 Observation Using Cube Satellites

Although the total amount of methane (CH₄) is significantly lower than that of carbon dioxide (CO₂), methane is known to accelerate global warming due to its high Global Warming Potential (GWP) and recent increasing trends. As countries around the world prepare for the era of carbon neutrality, they are competitively developing systems to take a leading role in calculating emissions. While ground-based observation equipment currently provides relatively accurate data, there are limitations in quantifying greenhouse gases from various sources. These limitations are particularly evident in marine areas and regions with insufficient ground-based observation data. To overcome these challenges, this study aims to develop a CubeSat for greenhouse gas monitoring. We plan to launch the first CubeSat in 2027, followed by the launch of four additional satellites in 2028. However, CubeSats may have lower observational accuracy compared to medium and large-scale satellites, making it crucial to develop algorithms that meet data quality and user requirements. Therefore, this study focuses on developing an algorithm that optimally retrieves methane concentrations. Once developed, this greenhouse gas monitoring algorithm will serve as a foundation for more accurate assessments of emission management policies, climate change prediction resources, and both short- and long-term trends in carbon dioxide and methane emissions.

Acknowledgement

This research was supported by Particulate Matter Management Specialized Graduate Program through the Korea Environmental Industry & Technology Institute(KEITI) funded by the Ministry of Environment(MOE).