2015~2023年全球多源碳卫星XCH4时空融合数据集

研究多源碳卫星（GOSAT、Sentinel-5P、等）数据的不确定性；解决多源碳卫星观测数据的空间尺度和偏差等不一致性问题。结合地面多尺度观测数据和垂直立体化观测数据，建立多卫星融合的XCH4等温室气体卫星数据生成方法。生成全球—尺度温室气体柱浓度卫星整合数据集。

This study investigates the uncertainties of multi-source carbon satellite data (e.g., GOSAT, Sentinel-5P), and addresses the inconsistencies including spatial scale mismatches and systematic biases among multi-source carbon satellite observations. By integrating ground-based multi-scale observational data and vertical stereoscopic observational data, this study establishes a multi-satellite fusion-based approach for generating greenhouse gas satellite data such as XCH4, and ultimately produces a global-scale integrated satellite dataset of greenhouse gas column concentrations.