Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks
Lidar networks are essential to study the three-dimensional distribution of aerosols on a regional scale. At present, both Mie-scattering lidar (ML) and advanced lidars are being used in lidar networks. The latter can retrieve extinction coefficients without strict assumptions of the lidar ratio, su...
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| Format: | Article |
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MDPI AG
2022-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/3/626 |
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| author | Yicheng Tong Sijie Chen Da Xiao Kai Zhang Jing Fang Chong Liu Yibing Shen Dong Liu |
| author_facet | Yicheng Tong Sijie Chen Da Xiao Kai Zhang Jing Fang Chong Liu Yibing Shen Dong Liu |
| author_sort | Yicheng Tong |
| collection | DOAJ |
| description | Lidar networks are essential to study the three-dimensional distribution of aerosols on a regional scale. At present, both Mie-scattering lidar (ML) and advanced lidars are being used in lidar networks. The latter can retrieve extinction coefficients without strict assumptions of the lidar ratio, such as Raman lidar (RL) or high-spectral-resolution lidar (HSRL). In order to balance the data quality and instrument costs for the lidar network, the lidar ratio regional transfer method in a lidar network is proposed in this paper. We developed a Lidar Ratio and Aerosol Fraction Non-linear Regression (LR-AFNR) model between the lidar ratio and corresponding absorbing aerosol fraction (this paper studied two types of absorbing aerosols: dust and carbonaceous). The aerosol fraction of the sun photometer retrieval was used as a medium to transfer the lidar ratio of HSRL retrieval to a certain range of MLs. This lidar ratio can be the input parameter for ML retrieval and enables the improvement of the extinction coefficient accuracy. The results show that the LR-APNR model is applicable to atmospheric conditions with high mineral dust or carbonaceous aerosol loading, and the maximum relative error of the ML extinction coefficient can be reduced from 46% (dust) and 64% (carbonaceous aerosol) to 20%. |
| first_indexed | 2024-03-09T23:14:05Z |
| format | Article |
| id | doaj.art-ce8fbe5d1471425297986a631701f453 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T23:14:05Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-ce8fbe5d1471425297986a631701f4532023-11-23T17:40:53ZengMDPI AGRemote Sensing2072-42922022-01-0114362610.3390/rs14030626Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar NetworksYicheng Tong0Sijie Chen1Da Xiao2Kai Zhang3Jing Fang4Chong Liu5Yibing Shen6Dong Liu7State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou 310027, ChinaLidar networks are essential to study the three-dimensional distribution of aerosols on a regional scale. At present, both Mie-scattering lidar (ML) and advanced lidars are being used in lidar networks. The latter can retrieve extinction coefficients without strict assumptions of the lidar ratio, such as Raman lidar (RL) or high-spectral-resolution lidar (HSRL). In order to balance the data quality and instrument costs for the lidar network, the lidar ratio regional transfer method in a lidar network is proposed in this paper. We developed a Lidar Ratio and Aerosol Fraction Non-linear Regression (LR-AFNR) model between the lidar ratio and corresponding absorbing aerosol fraction (this paper studied two types of absorbing aerosols: dust and carbonaceous). The aerosol fraction of the sun photometer retrieval was used as a medium to transfer the lidar ratio of HSRL retrieval to a certain range of MLs. This lidar ratio can be the input parameter for ML retrieval and enables the improvement of the extinction coefficient accuracy. The results show that the LR-APNR model is applicable to atmospheric conditions with high mineral dust or carbonaceous aerosol loading, and the maximum relative error of the ML extinction coefficient can be reduced from 46% (dust) and 64% (carbonaceous aerosol) to 20%.https://www.mdpi.com/2072-4292/14/3/626lidar networklidar ratioaerosol fractionsun photometer |
| spellingShingle | Yicheng Tong Sijie Chen Da Xiao Kai Zhang Jing Fang Chong Liu Yibing Shen Dong Liu Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks Remote Sensing lidar network lidar ratio aerosol fraction sun photometer |
| title | Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks |
| title_full | Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks |
| title_fullStr | Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks |
| title_full_unstemmed | Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks |
| title_short | Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks |
| title_sort | lidar ratio regional transfer method for extinction coefficient accuracy improvement in lidar networks |
| topic | lidar network lidar ratio aerosol fraction sun photometer |
| url | https://www.mdpi.com/2072-4292/14/3/626 |
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