【摘要】 碳卫星观测数据的应用急需解决时空不连续、时空分辨率低的问题。其中XCO₂产品数据重构后的高时空分辨率的再分析数据将为区域、行业CO₂源、汇研究缺乏实时观测数据提供解决途径。基于4套XCO₂产品数据，DataCube多维数据建模可集成不同产品数据的时空信息，进而实现4套XCO₂产品数据的时空信息统一存储、关联和格网化，提出一种可实现多种XCO₂产品数据动态映射、交互、关联分析和特征融合的XCO₂重构方法，最后得到北京区域100 m全覆盖格网XCO₂重构产品。结果表明：重构结果与TCCON香河站观测值具有较高的一致性（R²=0.90,RMSE=0.89），且与CarbonTracker模拟结果和TCCON观测结果时间变化趋势一致；2020年北京地区XCO₂总体呈北部较低，中北部和南部较高，中部最高的空间分布，低值区小于410 ppm，高值区大于416 ppm；动态揭示了北京区域“生态涵养区”和“发展区”之间受地表碳源、汇影响而呈现出的高低值时空变化的规律和垂直、水平输送特征。更多还原

【Abstract】 The application of carbon satellite observation data urgently needs to solve the problems of spatiotem-poral discontinuity and low spatiotemporal resolution. Among them, the high spatial and temporal resolution reanalysis data reconstructed from XCO₂ product data will provide a solution to the lack of real-time observation data in regional and industrial CO₂ source and sink research. Based on 4 sets of XCO₂ product data, DataCube multi-dimensional data modeling can integrate the spatio-temporal information of different product data, thus realize the unified storage, correlation and gridding of spatio-temporal information of 4 sets of XCO₂ product data.An XCO₂ reconstruction method is proposed that can realize dynamic mapping, interaction, correlation analysis and feature fusion of multiple XCO₂ product data, and finally the XCO₂ reconstruction product of the 100 m full coverage grid in Beijing is obtained. The results show: the reconstruction results are highly consistent with the TCCON Xianghe station observation values（R²=0.90, RMSE=0.89）, and are consistent with the time change trend of the CarbonTracker simulation results and TCCON observation results; in 2020, XCO₂ in Beijing generally displayed a spatial distribution of lower in the north, higher in the central north and south, and highest in the central part; and dynamically reveals the regularity of the high and low value spatio-temporal variations and the vertical and horizontal transportation characteristics between "ecological conservation areas" and "development areas" in the Beijing area due to the influence of surface carbon sources and sinks.更多还原