Retrieved XCO<sub>2</sub> Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission
China is developing the High-precision Greenhouse gases Monitoring Satellite (HGMS), carrying a high-spectral-resolution lidar (HSRL) for aerosol vertical profiles and imaging grating spectrometers for CO<sub>2</sub> measurements at the same time. By providing simultaneous evaluation of...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/13/9/1384 |
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| author | Ju Ke Shuaibo Wang Sijie Chen Changzhe Dong Yingshan Sun Dong Liu |
| author_facet | Ju Ke Shuaibo Wang Sijie Chen Changzhe Dong Yingshan Sun Dong Liu |
| author_sort | Ju Ke |
| collection | DOAJ |
| description | China is developing the High-precision Greenhouse gases Monitoring Satellite (HGMS), carrying a high-spectral-resolution lidar (HSRL) for aerosol vertical profiles and imaging grating spectrometers for CO<sub>2</sub> measurements at the same time. By providing simultaneous evaluation of the aerosol scattering effect, HGMS would reduce the bias of the XCO<sub>2</sub> retrievals from the passive sensor. In this work, we propose a method to reduce aerosol-induced bias in XCO<sub>2</sub> retrievals for the future HGMS mission based on the correlation analysis among simulated radiance, XCO<sub>2</sub> bias, and aerosol optical depth (AOD) ratio. We exercise the method with the Orbiting Carbon Observatory-2 (OCO-2) XCO<sub>2</sub> retrievals and AOD ratio inferred from the OCO-2 O<sub>2</sub> A-band aerosol parameters at 755 nm and the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) AOD at 532 nm at several Total Carbon Column Observing Network (TCCON) sites in Europe. The results showed that 80% of measurements from OCO-2 were improved, and data from six TCCON sites show an average of 2.6 ppm reduction in mean bias and a 68% improvement in accuracy. We demonstrate the advantage of fused active–passive observation of the HGMS for more accurate global XCO<sub>2</sub> measurements in the future. |
| first_indexed | 2024-03-10T00:46:29Z |
| format | Article |
| id | doaj.art-c6c8432aca57485b93bf129b835f89d7 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T00:46:29Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-c6c8432aca57485b93bf129b835f89d72023-11-23T14:58:45ZengMDPI AGAtmosphere2073-44332022-08-01139138410.3390/atmos13091384Retrieved XCO<sub>2</sub> Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite MissionJu Ke0Shuaibo Wang1Sijie Chen2Changzhe Dong3Yingshan Sun4Dong Liu5State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaShanghai Institute of Satellite Engineering, Shanghai 201109, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaChina is developing the High-precision Greenhouse gases Monitoring Satellite (HGMS), carrying a high-spectral-resolution lidar (HSRL) for aerosol vertical profiles and imaging grating spectrometers for CO<sub>2</sub> measurements at the same time. By providing simultaneous evaluation of the aerosol scattering effect, HGMS would reduce the bias of the XCO<sub>2</sub> retrievals from the passive sensor. In this work, we propose a method to reduce aerosol-induced bias in XCO<sub>2</sub> retrievals for the future HGMS mission based on the correlation analysis among simulated radiance, XCO<sub>2</sub> bias, and aerosol optical depth (AOD) ratio. We exercise the method with the Orbiting Carbon Observatory-2 (OCO-2) XCO<sub>2</sub> retrievals and AOD ratio inferred from the OCO-2 O<sub>2</sub> A-band aerosol parameters at 755 nm and the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) AOD at 532 nm at several Total Carbon Column Observing Network (TCCON) sites in Europe. The results showed that 80% of measurements from OCO-2 were improved, and data from six TCCON sites show an average of 2.6 ppm reduction in mean bias and a 68% improvement in accuracy. We demonstrate the advantage of fused active–passive observation of the HGMS for more accurate global XCO<sub>2</sub> measurements in the future.https://www.mdpi.com/2073-4433/13/9/1384High-precision Greenhouse gases Monitoring SatelliteCO<sub>2</sub> retrievalaerosolOCO-2CALIOPTCCON |
| spellingShingle | Ju Ke Shuaibo Wang Sijie Chen Changzhe Dong Yingshan Sun Dong Liu Retrieved XCO<sub>2</sub> Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission Atmosphere High-precision Greenhouse gases Monitoring Satellite CO<sub>2</sub> retrieval aerosol OCO-2 CALIOP TCCON |
| title | Retrieved XCO<sub>2</sub> Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission |
| title_full | Retrieved XCO<sub>2</sub> Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission |
| title_fullStr | Retrieved XCO<sub>2</sub> Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission |
| title_full_unstemmed | Retrieved XCO<sub>2</sub> Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission |
| title_short | Retrieved XCO<sub>2</sub> Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission |
| title_sort | retrieved xco sub 2 sub accuracy improvement by reducing aerosol induced bias for china s future high precision greenhouse gases monitoring satellite mission |
| topic | High-precision Greenhouse gases Monitoring Satellite CO<sub>2</sub> retrieval aerosol OCO-2 CALIOP TCCON |
| url | https://www.mdpi.com/2073-4433/13/9/1384 |
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