资源环境科技发展态势分析平台

The capacity of CO₂ uptake in the Chukchi Sea is particularly sensitive to rapid physical and biological changes. However, scarce field observations pose a challenge in understanding the long-term trend of CO₂ uptake capacity on this continental shelf. We adopted a machine-learning based approach to construct a 17-year (2003-2019) long-term time-series of summer sea surface partial pressure of CO₂ (pCO₂) from remote sensing products. We show that the long-term increase in CO₂ uptake capacity can be attributed to strong and enhanced biological uptake. In addition, the intra-seasonal variability of surface pCO₂ in early summer confirms the crucial role of sea-ice melt and the subsequently enhanced photosynthesis as soon as the surface ocean converts into an open system. Our results thus highlight the use of remote sensing data in interpolating/extrapolating the highly dynamic carbonate system in the continental shelf sea and shed light into future studies involving machine learning or algorithms.