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Constraining China's land carbon sink from emerging satellite CO 2 observations: Progress and challenges.

Yilong WangXiangjun TianFrédéric ChevallierMatthew S JohnsonSajeev PhilipDavid F BakerAndrew E SchuhFeng DengXingying ZhangLu ZhangDan ZhuXuhui Wang
Published in: Global change biology (2022)
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 CO 2 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 CO 2 , and the recent progresses on the inversion of China's land carbon sink using satellite CO 2 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 CO 2 measurements.
Keyphrases
  • climate change
  • machine learning
  • magnetic resonance imaging
  • big data
  • artificial intelligence