High-Coverage Reconstruction of XCO₂ Using Multisource Satellite Remote Sensing Data in Beijing-Tianjin-Hebei Region.

ABSTRACT: The extreme climate caused by global warming has had a great impact on the earth's ecology. As the main greenhouse gas, atmospheric CO₂ concentration change and its spatial distribution are among the main uncertain factors in climate change assessment. Remote sensing satellites can obtain changes in CO₂ concentration in the global atmosphere. However, some problems (e.g., low time resolution and incomplete coverage) caused by the satellite observation mode and clouds/aerosols still exist. By analyzing sources of atmospheric CO₂ and various factors affecting the spatial distribution of CO₂, this study used multisource satellite-based data and a random forest model to reconstruct the daily CO₂ column concentration (XCO₂) with

SUBMITTER: Wang W 

PROVIDER: S-EPMC9517897 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature