| 大气激光雷达气溶胶光学参数质量可信度评估算法 |
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| 引用本文： | 毛松,步志超,陈玉宝,代雅茹,王安宙,赵兵,王宣.大气激光雷达气溶胶光学参数质量可信度评估算法[J].气象科技,2023,51(3):309-318. |
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| 作者姓名： | 毛松 步志超 陈玉宝 代雅茹 王安宙 赵兵 王宣 |
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| 作者单位： | 武汉大学遥感信息工程学院，武汉 430079;中国气象局气象探测中心，北京 100081 |
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| 基金项目： | 国家重点研发计划“超大城市垂直综合气象观测技术研究及试验”（2017YFC1501701）及国家自然科学基金（40905005、41675028）资助 |
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| 摘 要： | 气溶胶激光雷达由于系统设计、观测场地气候条件、反演过程中参数选取等因素不同,每次测量反演得到的气溶胶光学参数质量不一致,可信度难以评估,进而极大地影响了其在气象、环保等领域业务化应用。为了解决该难题,本文分析了影响激光雷达气溶胶光学参数质量的因素,开发了一套气溶胶光学参数质量可信度评估算法。采用科学、合理的评分和权重分配方案对激光雷达每次测量反演得到的气溶胶光学参数质量可信度进行评估。本文主要讨论对偏振、米散射激光雷达气溶胶光学参数的质量评估,以中国气象局气象探测中心的波长为532 nm的偏振、米散射激光雷达为例,对所提出的质量可信度评估算法进行验证和分析。结果表明:该算法能够有效地区分出不同激光雷达在不同观测场景下每次测量反演得到的气溶胶光学参数质量可信度,具备为气溶胶激光雷达业务化应用提供可靠性评估的能力。
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| 关 键 词： | 气溶胶激光雷达 质量可信度评估 评分方案 |
| 收稿时间： | 2022/9/30 0:00:00 |
| 修稿时间： | 2023/4/24 0:00:00 |
An Assessment Algorithm for Quality Reliability of Atmospheric Lidar Aerosol Optical Properties |
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| MAO Song,BU Zhichao,CHEN Yubao,DAI Yaru,WANG Anzhou,ZHAO Bing,WANG Xuan.An Assessment Algorithm for Quality Reliability of Atmospheric Lidar Aerosol Optical Properties[J].Meteorological Science and Technology,2023,51(3):309-318. |
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| Authors: | MAO Song BU Zhichao CHEN Yubao DAI Yaru WANG Anzhou ZHAO Bing WANG Xuan |
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| Institution: | School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079;Meteorological Observation Centre, China Meteorological Administration, Beijing 100081 |
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| Abstract: | Due to the differences in the system design of aerosol lidar, climate conditions in the observation site, parameters selection in retrieval and other factors, the quality of retrieved aerosol optical properties from each measurement is inconsistent, and its reliability is difficult to evaluate, which greatly affects the operational application in meteorology, environmental protection, and other fields. In order to solve this problem, we analyze the factors that affect the quality reliability of retrieved aerosol optical properties and develop a set of quality reliability assessment algorithms. A scientific and reasonable scoring combined with a weight allocation method is used to evaluate the quality reliability of retrieved aerosol optical properties from each measurement. This study mainly discusses the quality reliability assessment of retrieved aerosol optical properties of polarization Mie scattering lidar. The 532 nm polarization Mie scattering lidars of the Meteorological Observation Centre, China Meteorological Administration, are taken as examples to verify and analyze the proposed quality reliability assessment algorithm. The results show that the algorithm can effectively distinguish the quality reliability of retrieved aerosol optical properties from each measurement of each lidar in different observation scenarios and possesses the ability to provide the reliability assessment for the operational application of aerosol lidar. |
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| Keywords: | aerosol lidar quality reliability assessment scoring scheme |
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