| CALIOP反演海洋颗粒物后向散射系数方法概述 |
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| 引用本文： | 陶雨婷,赵泓楷,周雨迪,卓文淇,刘群,崔晓宇,刘斌,乐成峰,潘孙强,刘崇,刘东.CALIOP反演海洋颗粒物后向散射系数方法概述[J].红外与激光工程,2021,50(6):20211037-1-20211037-9. |
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| 作者姓名： | 陶雨婷 赵泓楷 周雨迪 卓文淇 刘群 崔晓宇 刘斌 乐成峰 潘孙强 刘崇 刘东 |
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| 作者单位： | 1.浙江大学 宁波研究院 光电科学与工程学院，浙江 杭州 310027 |
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| 基金项目： | 国家重点研发计划（2016YFC1400900）；国家自然科学基金（41775023）；浙江省自然科学基金杰出青年项目（LR19D050001）；中央高校基础科研项目（2019FZJD011）；现代光学仪器国家重点实验室创新项目；浙江大学宁波校区人才引进启动基金项目（20201203Z0175，20201203Z0177）；杭州市生态环境科学研究院项目（703204C20201117）；国家自然科学基金青年科学基金（61905212）；中国博士后科学基金（2018M640554）；浙江省市场监督管理局NQI项目（20200103） |
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| 摘 要： | 颗粒物后向散射系数(particulate backscattering coefficient, bbp)是海洋光学应用于海洋生态学和生物地球化学研究的核心参数。但目前常用的原位方法短时间内无法完成大范围的探测，被动水色遥感无法在缺乏光照以及有云的条件下工作，相比之下，主动遥感方式星载激光雷达可以突破以上限制，在海洋探测方面具有极大的优越性。2006年发射的CALIOP成为首个能够提供全球海洋bbp数据的星载激光雷达，特别是为极地观测和昼夜观测提供了重要数据。文中详细介绍了CALIOP系统原理及其三级主要数据产品，重点梳理了利用CALIOP 532 nm偏振通道退偏比反演bbp的方法以及后续的退卷积校正系统瞬态响应等改进措施，总结出了一套详细完整的反演流程，开发出对应算法并展示了bbp的反演结果，旨在为我国未来星载海洋激光雷达的数据处理及应用工作提供参考。
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| 关 键 词： | 星载激光雷达 CALIOP 海洋颗粒物后向散射系数 反演算法 |
| 收稿时间： | 2021-04-10 |
Overview of inversion methods of ocean subsurface particulate backscattering coefficient by using CALIOP data |
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| Affiliation: | 1.Ningbo Research Institute, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China2.Ocean College, Zhejiang University, Zhoushan 316021, China3.Zhejiang Province Institute of Metrology, Hangzhou 310018, China |
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| Abstract: | Particulate backscatter coefficient (bbp) is the core parameter of ocean optics when applied to marine ecology and biogeochemistry. However, the current commonly used in-situ methods can not carry out large-scale detection in a short time, and passive ocean color remote sensing can not work under dark and cloudy conditions. In contrast, the active remote sensing method, spaceborne Light Detection and Ranging(lidar), can break through the above limitations, and has great advantages in ocean detection. Cloud Aerosol Lidar with Orthogonal Polarization(CALIOP), launched in 2006, became the first spaceborne lidar able to provide global seawater bbp, particularly important for polar and diurnal observations. In this paper, the principle of the CALIOP system and three levels of its major data products were introduced in detail. Paper focused on combing the method of bbp inversion with the depolarization ratio of the CALIOP 532 nm polarization channels and the subsequent improvement measures such like the deconvolution method correcting the transient response of the system. A corresponding algorithm was fully developed, which the detailed complete inversion process was summarized, and the current bbp inversion results were presented. The works were intended to provide reference for data processing and application of the China space-borne oceanic lidar in the future. |
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