Constraining China's land carbon sink from emerging satellite CO2 observations: Progress and challenges. (15th September 2022)

• Record Type: Journal Article
• Authors: Wang, Yilong; Tian, Xiangjun; Chevallier, Frédéric; Johnson, Matthew S.; Philip, Sajeev; Baker, David F.; Schuh, Andrew E.; Deng, Feng; Zhang, Xingying; Zhang, Lu; Zhu, Dan; Wang, Xuhui
• Is Part Of: Global change biology. Volume 28:Number 23(2022)
• Page Start: 6838
• Page End: 6846
• Publication Date: 2022-09-15
• Subjects: atmospheric inversion -- China's land carbon sink -- retrieval algorithm -- satellite -- XCO2; Climatic changes -- Environmental aspects -- Periodicals; Troposphere -- Environmental aspects -- Periodicals; Biodiversity conservation -- Periodicals; Eutrophication -- Periodicals; 551.5
• DOI: 10.1111/gcb.16412
• Languages: English
• ISSNs: 1354-1013

Abstract

Abstract: Land carbon sink is a vital component for the achievement of China's ambitious carbon neutrality goal, but its magnitude is poorly known. Atmospheric observations and inverse models are valuable tools to constrain the China's land carbon sink. Space‐based CO2 measurements from satellites form an emerging data stream for application of such atmospheric inversions. Here, we reviewed the satellite missions that is dedicated to the monitoring of CO2, and the recent progresses on the inversion of China's land carbon sink using satellite CO2 measurements. We summarized the limitations and challenges in current space platforms, retrieval algorithms, and the inverse modeling. It is shown that there are large uncertainties of contemporary satellite‐based estimates of China's land carbon sink. We discussed future opportunities of continuous improvements in three aspects to better constrain China's land carbon sink with space‐based CO2 measurements. Abstract : Land carbon sink is a vital component for the achievement of China's ambitious carbon neutrality goal. Atmospheric observations and inverse models are valuable tools to constrain the China's land carbon sink. There are large uncertainties of contemporary satellite‐based estimates of China's land carbon sink. This study highlights urgent needs for continuous improvements in the satellite design, retrieval algorithms, and inversion techniques toward a better constraint of China's land carbon sink with space‐based CO2 measurements.