Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool
Aerosol optical properties retrieved using polarization Raman lidar observations play an increasingly vital role in meteorology and environmental protection. The quality of the data products directly affects the impact of relevant scientific applications. However, the quality of aerosol optical prop...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-01-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/1/207 |
| _version_ | 1827384512389054464 |
|---|---|
| author | Song Mao Zhenping Yin Longlong Wang Yubin Wei Zhichao Bu Yubao Chen Yaru Dai Detlef Müller Xuan Wang |
| author_facet | Song Mao Zhenping Yin Longlong Wang Yubin Wei Zhichao Bu Yubao Chen Yaru Dai Detlef Müller Xuan Wang |
| author_sort | Song Mao |
| collection | DOAJ |
| description | Aerosol optical properties retrieved using polarization Raman lidar observations play an increasingly vital role in meteorology and environmental protection. The quality of the data products directly affects the impact of relevant scientific applications. However, the quality of aerosol optical properties retrieved from polarization Raman lidar signals is difficult to assess. Various factors, such as hardware system performance, retrieval algorithm, and meteorological conditions at the observation site, influence data quality. In this study, we propose a method that allows for assessing the reliability of aerosol optical properties derived from polarization Raman lidar observations. We analyze the factors that affect the reliability of retrieved aerosol optical properties. We use scoring methods combined with a weight-assignment scheme to evaluate the quality of the retrieved aerosol optical properties. The scores and weights of each factor are arranged based on our analysis of a simulation study and the characteristics of each factor. We developed an automatic retrieval algorithm that allows for deriving homogeneous aerosol optical data sets. We also assess with this method the quality of retrieved aerosol optical properties obtained with different polarization Raman lidars under different measurement scenarios. Our results show that the proposed quality assurance method can distinguish the reliability of the retrieved aerosol optical properties. |
| first_indexed | 2024-03-08T14:58:55Z |
| format | Article |
| id | doaj.art-fb3c9b848bbd43f4b1e8bcc04c3a42d8 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-08T14:58:55Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-fb3c9b848bbd43f4b1e8bcc04c3a42d82024-01-10T15:08:01ZengMDPI AGRemote Sensing2072-42922024-01-0116120710.3390/rs16010207Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance ToolSong Mao0Zhenping Yin1Longlong Wang2Yubin Wei3Zhichao Bu4Yubao Chen5Yaru Dai6Detlef Müller7Xuan Wang8School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaMeteorological Observation Centre, China Meteorological Administration, Beijing 100081, ChinaMeteorological Observation Centre, China Meteorological Administration, Beijing 100081, ChinaMeteorological Observation Centre, China Meteorological Administration, Beijing 100081, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaAerosol optical properties retrieved using polarization Raman lidar observations play an increasingly vital role in meteorology and environmental protection. The quality of the data products directly affects the impact of relevant scientific applications. However, the quality of aerosol optical properties retrieved from polarization Raman lidar signals is difficult to assess. Various factors, such as hardware system performance, retrieval algorithm, and meteorological conditions at the observation site, influence data quality. In this study, we propose a method that allows for assessing the reliability of aerosol optical properties derived from polarization Raman lidar observations. We analyze the factors that affect the reliability of retrieved aerosol optical properties. We use scoring methods combined with a weight-assignment scheme to evaluate the quality of the retrieved aerosol optical properties. The scores and weights of each factor are arranged based on our analysis of a simulation study and the characteristics of each factor. We developed an automatic retrieval algorithm that allows for deriving homogeneous aerosol optical data sets. We also assess with this method the quality of retrieved aerosol optical properties obtained with different polarization Raman lidars under different measurement scenarios. Our results show that the proposed quality assurance method can distinguish the reliability of the retrieved aerosol optical properties.https://www.mdpi.com/2072-4292/16/1/207aerosol optical propertiesquality assurancepolarization Raman lidar |
| spellingShingle | Song Mao Zhenping Yin Longlong Wang Yubin Wei Zhichao Bu Yubao Chen Yaru Dai Detlef Müller Xuan Wang Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool Remote Sensing aerosol optical properties quality assurance polarization Raman lidar |
| title | Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool |
| title_full | Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool |
| title_fullStr | Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool |
| title_full_unstemmed | Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool |
| title_short | Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool |
| title_sort | aerosol optical properties retrieved by polarization raman lidar methodology and strategy of a quality assurance tool |
| topic | aerosol optical properties quality assurance polarization Raman lidar |
| url | https://www.mdpi.com/2072-4292/16/1/207 |
| work_keys_str_mv | AT songmao aerosolopticalpropertiesretrievedbypolarizationramanlidarmethodologyandstrategyofaqualityassurancetool AT zhenpingyin aerosolopticalpropertiesretrievedbypolarizationramanlidarmethodologyandstrategyofaqualityassurancetool AT longlongwang aerosolopticalpropertiesretrievedbypolarizationramanlidarmethodologyandstrategyofaqualityassurancetool AT yubinwei aerosolopticalpropertiesretrievedbypolarizationramanlidarmethodologyandstrategyofaqualityassurancetool AT zhichaobu aerosolopticalpropertiesretrievedbypolarizationramanlidarmethodologyandstrategyofaqualityassurancetool AT yubaochen aerosolopticalpropertiesretrievedbypolarizationramanlidarmethodologyandstrategyofaqualityassurancetool AT yarudai aerosolopticalpropertiesretrievedbypolarizationramanlidarmethodologyandstrategyofaqualityassurancetool AT detlefmuller aerosolopticalpropertiesretrievedbypolarizationramanlidarmethodologyandstrategyofaqualityassurancetool AT xuanwang aerosolopticalpropertiesretrievedbypolarizationramanlidarmethodologyandstrategyofaqualityassurancetool |