Chuncan Fan, Cheng Chen, Jiqiao Liu, Yuan Xie, Ke Li, Xiaopeng Zhu, Lu Zhang, Xifeng Cao, Ge Han, Yongjian Huang, Qianrong Gu, Weibiao Chen
{"title":"对 AEMS 机载空间气溶胶和二氧化碳探测激光雷达提供的全球柱平均二氧化碳浓度数据的初步分析。","authors":"Chuncan Fan, Cheng Chen, Jiqiao Liu, Yuan Xie, Ke Li, Xiaopeng Zhu, Lu Zhang, Xifeng Cao, Ge Han, Yongjian Huang, Qianrong Gu, Weibiao Chen","doi":"10.1364/OE.517736","DOIUrl":null,"url":null,"abstract":"<p><p>In contrast to the passive remote sensing of global CO<sub>2</sub> column concentrations (XCO<sub>2</sub>), active remote sensing with a lidar enables continuous XCO<sub>2</sub> measurements throughout the entire atmosphere in daytime and nighttime. The lidar could penetrate most cirrus and is almost unaffected by aerosols. Atmospheric environment monitoring satellite (AEMS, also named DQ-1) aerosol and carbon dioxide detection Lidar (ACDL) is a novel spaceborne lidar that implements a 1572 nm integrated path differential absorption (IPDA) method to measure the global XCO<sub>2</sub> for the first time. In this study, special methods have been developed for ACDL data processing and XCO<sub>2</sub> retrieval. The CO<sub>2</sub> measurement data products of ACDL, including the differential absorption optical depth between the online and offline wavelengths, the integral weighting function, and XCO<sub>2</sub>, are presented. The results of XCO<sub>2</sub> measurements over the period from 1<sup>st</sup> June 2022 to 30<sup>th</sup> June 2022 (first month data of ACDL) are analyzed to demonstrate the measurement capabilities of the spaceborne ACDL system.</p>","PeriodicalId":19691,"journal":{"name":"Optics express","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Preliminary analysis of global column-averaged CO<sub>2</sub> concentration data from the spaceborne aerosol and carbon dioxide detection lidar onboard AEMS.\",\"authors\":\"Chuncan Fan, Cheng Chen, Jiqiao Liu, Yuan Xie, Ke Li, Xiaopeng Zhu, Lu Zhang, Xifeng Cao, Ge Han, Yongjian Huang, Qianrong Gu, Weibiao Chen\",\"doi\":\"10.1364/OE.517736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In contrast to the passive remote sensing of global CO<sub>2</sub> column concentrations (XCO<sub>2</sub>), active remote sensing with a lidar enables continuous XCO<sub>2</sub> measurements throughout the entire atmosphere in daytime and nighttime. The lidar could penetrate most cirrus and is almost unaffected by aerosols. Atmospheric environment monitoring satellite (AEMS, also named DQ-1) aerosol and carbon dioxide detection Lidar (ACDL) is a novel spaceborne lidar that implements a 1572 nm integrated path differential absorption (IPDA) method to measure the global XCO<sub>2</sub> for the first time. In this study, special methods have been developed for ACDL data processing and XCO<sub>2</sub> retrieval. The CO<sub>2</sub> measurement data products of ACDL, including the differential absorption optical depth between the online and offline wavelengths, the integral weighting function, and XCO<sub>2</sub>, are presented. The results of XCO<sub>2</sub> measurements over the period from 1<sup>st</sup> June 2022 to 30<sup>th</sup> June 2022 (first month data of ACDL) are analyzed to demonstrate the measurement capabilities of the spaceborne ACDL system.</p>\",\"PeriodicalId\":19691,\"journal\":{\"name\":\"Optics express\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optics express\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1364/OE.517736\",\"RegionNum\":2,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics express","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1364/OE.517736","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
Preliminary analysis of global column-averaged CO2 concentration data from the spaceborne aerosol and carbon dioxide detection lidar onboard AEMS.
In contrast to the passive remote sensing of global CO2 column concentrations (XCO2), active remote sensing with a lidar enables continuous XCO2 measurements throughout the entire atmosphere in daytime and nighttime. The lidar could penetrate most cirrus and is almost unaffected by aerosols. Atmospheric environment monitoring satellite (AEMS, also named DQ-1) aerosol and carbon dioxide detection Lidar (ACDL) is a novel spaceborne lidar that implements a 1572 nm integrated path differential absorption (IPDA) method to measure the global XCO2 for the first time. In this study, special methods have been developed for ACDL data processing and XCO2 retrieval. The CO2 measurement data products of ACDL, including the differential absorption optical depth between the online and offline wavelengths, the integral weighting function, and XCO2, are presented. The results of XCO2 measurements over the period from 1st June 2022 to 30th June 2022 (first month data of ACDL) are analyzed to demonstrate the measurement capabilities of the spaceborne ACDL system.
期刊介绍:
Optics Express is the all-electronic, open access journal for optics providing rapid publication for peer-reviewed articles that emphasize scientific and technology innovations in all aspects of optics and photonics.