Active–passive collaborative approach for XCO₂ retrieval using spaceborne sensors

Abstract

We propose a novel, to the best of our knowledge, active–passive collaborative retrieval method for measuring XCO2 (APCRM-CO2). This method simultaneously uses observations from spectrometers and integrated path differential absorption laser detection and ranging (IPDA LIDAR), thus making its products have both the coverage advantages of passive detection and the high information content of active detection. The results of simulation experiments show that APCRM-CO2 can reduce the retrieval error by 15% to 70%. The minimum SNR for achieving 1 ppm is 24.7 dB. All these results are obtained without considering the LIDAR measured aerosol profile as input. Therefore, greater performance improvements on XCO2 retrievals are expected in the future for real data processing. The first satellite mission, DQ-2, carrying both a spectrometer and an IPDA LIDAR is planned to be launched by 2025. With the help of APCRM-CO2, its XCO2 products would better assist us with understanding the carbon cycle.

Assessment of the Emission Characteristics of Major States in the United States using Satellite Observations of CO2, CO, and NO2

“…The report further underscores that the rate of global warming since the 1970s has surpassed that of any previous 50-year warming interval in history [2]. Consequently, nations have grown increasingly vigilant in their efforts to monitor air quality and mitigate greenhouse gas emissions [3][4][5].…”