Back to Search
Start Over
Improving atmospheric CO2 retrieval based on the collaborative use of Greenhouse gases Monitoring Instrument and Directional Polarimetric Camera sensors on Chinese hyperspectral satellite GF5-02.
- Source :
- Geo-Spatial Information Science; Jun2024, Vol. 27 Issue 3, p572-584, 13p
- Publication Year :
- 2024
-
Abstract
- The Greenhouse Gas Monitoring Instrument (GMI) onboard the Chinese hyperspectral satellite GF5–02 can provide abundant observations of global atmospheric CO<subscript>2</subscript>, which plays an important role in climate research. CO<subscript>2</subscript> retrieval precision is the key to determining the application value of the GMI. To reduce the influence of atmospheric scattering on retrieval, we combined the Directional Polarimetric Camera (DPC) data on the same satellite to improve the anti-interference ability of GMI CO<subscript>2</subscript> retrieval and ensure its retrieval precision. To realize the reliability and feasibility of the collaborative use of the GMI and DPC, this paper designs the pointing registration method of the GMI based on coastline observations, the spatial resolution matching method and the collaborative cloud screening method of the GMI and DPC observations. Combined with the DPC, which supplied the spectral data and aerosol product, the retrieval ability of the coupled bidirectional reflectance distribution function CO<subscript>2</subscript> retrieval (CBCR) method developed for GMI CO<subscript>2</subscript> retrieval was improved, with the retrieval efficiency of CO<subscript>2</subscript> products increasing by 27%, and the CO<subscript>2</subscript> retrieval precision increasing from 3.3 ppm to 2.7 ppm. Moreover, collaborative use not only guaranteed the GMI's ability to detect global and area CO<subscript>2</subscript> concentration distribution characteristics, such as significant concentration differences between the Northern and Southern Hemispheres in winter and high CO<subscript>2</subscript> concentrations in urban agglomeration areas caused by human activities, but also extended the GMI's potential for monitoring anomalous events, such as the Tonga volcanic eruption. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10095020
- Volume :
- 27
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Geo-Spatial Information Science
- Publication Type :
- Academic Journal
- Accession number :
- 178418913
- Full Text :
- https://doi.org/10.1080/10095020.2023.2238773