In this study, we compare two different methods for retrieving methane gas concentrations: the Multi-Band-Multi-Pass (MBMP) method and the Multi-Band-Single-Pass (MBSP) method. Using data from the Himawari 9 and AMI satellites, specifically from the 1.6μm and 2.3μm spectral bands, we aim to determine which method provides more accurate methane measurements. The MBMP method leverages multiple spectral bands and reference observations to improve the accuracy of methane retrievals, while the MBSP method relies on a single spectral band pass. To ensure the reliability of our findings, we compared the results from these methods with data from the TROPOMI and GOSAT satellites.
Our results show that the MBMP method excels in detecting and quantifying methane emissions, especially when monitoring significant methane sources frequently. By integrating satellite observations with ground-based data and emission records from the EDGAR database, we were able to refine our methane estimates, demonstrating that combining these different data sources can significantly enhance the accuracy of methane detection.
The significance of this research extends beyond the scientific community. By improving the methods for methane concentration retrieval, we provide valuable tools for policymakers and environmental organizations to better monitor and manage greenhouse gas emissions. Accurate and timely detection of methane is essential for developing effective strategies to reduce emissions and slow down global warming. This study not only contributes to our understanding of methane’s role in climate change but also lays the groundwork for stronger, more informed and effective policies that can help protect our planet for future generations.
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