Retrieval of Aerosol Optical Properties Based on High Spectral Resolution Lidar
The detection of clouds and aerosols is important for climate research. Lidar has been widely used in atmospheric remote sensing research because of its high spatial and temporal resolution and ability to detect profiles. High spectral resolution lidar (HSRL) accurately calculates the optical proper...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2020/13/epjconf_ilrc292020_08018.pdf |
| _version_ | 1818456094435966976 |
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| author | Xiao Da Zhong Tianfen Shen Xue Wang Nanchao Rong Yuhang Liu Chong Zhang Yupeng Liu Dong |
| author_facet | Xiao Da Zhong Tianfen Shen Xue Wang Nanchao Rong Yuhang Liu Chong Zhang Yupeng Liu Dong |
| author_sort | Xiao Da |
| collection | DOAJ |
| description | The detection of clouds and aerosols is important for climate research. Lidar has been widely used in atmospheric remote sensing research because of its high spatial and temporal resolution and ability to detect profiles. High spectral resolution lidar (HSRL) accurately calculates the optical properties of aerosols and clouds without relying on any assumptions. Based on the 532nm iodine HSRL system, the lidar ratio of the urban aerosol in Hangzhou is 40-50sr, and the average lidar ratio of the cirrus is 24.79sr, demonstrating that the HSRL system and retrieval algorithms accurately obtain the optical properties of clouds and aerosols. |
| first_indexed | 2024-12-14T22:21:12Z |
| format | Article |
| id | doaj.art-afaf8a8202c8412c8b473710d61f88d6 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-14T22:21:12Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-afaf8a8202c8412c8b473710d61f88d62022-12-21T22:45:30ZengEDP SciencesEPJ Web of Conferences2100-014X2020-01-012370801810.1051/epjconf/202023708018epjconf_ilrc292020_08018Retrieval of Aerosol Optical Properties Based on High Spectral Resolution LidarXiao Da0Zhong Tianfen1Shen Xue2Wang Nanchao3Rong Yuhang4Liu Chong5Zhang Yupeng6Liu Dong7State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang UniversityState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang UniversityState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang UniversityState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang UniversityState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang UniversityState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang UniversityState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang UniversityState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang UniversityThe detection of clouds and aerosols is important for climate research. Lidar has been widely used in atmospheric remote sensing research because of its high spatial and temporal resolution and ability to detect profiles. High spectral resolution lidar (HSRL) accurately calculates the optical properties of aerosols and clouds without relying on any assumptions. Based on the 532nm iodine HSRL system, the lidar ratio of the urban aerosol in Hangzhou is 40-50sr, and the average lidar ratio of the cirrus is 24.79sr, demonstrating that the HSRL system and retrieval algorithms accurately obtain the optical properties of clouds and aerosols.https://www.epj-conferences.org/articles/epjconf/pdf/2020/13/epjconf_ilrc292020_08018.pdf |
| spellingShingle | Xiao Da Zhong Tianfen Shen Xue Wang Nanchao Rong Yuhang Liu Chong Zhang Yupeng Liu Dong Retrieval of Aerosol Optical Properties Based on High Spectral Resolution Lidar EPJ Web of Conferences |
| title | Retrieval of Aerosol Optical Properties Based on High Spectral Resolution Lidar |
| title_full | Retrieval of Aerosol Optical Properties Based on High Spectral Resolution Lidar |
| title_fullStr | Retrieval of Aerosol Optical Properties Based on High Spectral Resolution Lidar |
| title_full_unstemmed | Retrieval of Aerosol Optical Properties Based on High Spectral Resolution Lidar |
| title_short | Retrieval of Aerosol Optical Properties Based on High Spectral Resolution Lidar |
| title_sort | retrieval of aerosol optical properties based on high spectral resolution lidar |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2020/13/epjconf_ilrc292020_08018.pdf |
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