中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Development of the Chinese Space-Based Radiometric Benchmark Mission LIBRA

文献类型:期刊论文

作者Zhang, Peng2,3; Lu, Naimeng2,3; Li, Chuanrong4; Ding, Lei5; Zheng, Xiaobing6; Zhang, Xuejun1; Hu, Xiuqing2,3; Ye, Xin1; Ma, Lingling4; Xu, Na2,3
刊名REMOTE SENSING
出版日期2020-07-01
卷号12
关键词earth observation climate observation radiometric metrology calibration benchmark SI traceability
DOI10.3390/rs12142179
通讯作者Li, Chuanrong(crli@aoe.ac.cn)
英文摘要Climate observations and their applications require measurements with high stability and low uncertainty in order to detect and assess climate variability and trends. The difficulty with space-based observations is that it is generally not possible to trace them to standard calibration references when in orbit. In order to overcome this problem, it has been proposed to deploy space-based radiometric reference systems which intercalibrate measurements from multiple satellite platforms. Such reference systems have been strongly recommended by international expert teams. This paper describes the Chinese Space-based Radiometric Benchmark (CSRB) project which has been under development since 2014. The goal of CSRB is to launch a reference-type satellite named LIBRA in around 2025. We present the roadmap for CSRB as well as requirements and specifications for LIBRA. Key technologies of the system include miniature phase-change cells providing fixed-temperature points, a cryogenic absolute radiometer, and a spontaneous parametric down-conversion detector. LIBRA will offer measurements with SI traceability for the outgoing radiation from the Earth and the incoming radiation from the Sun with high spectral resolution. The system will be realized with four payloads, i.e., the Infrared Spectrometer (IRS), the Earth-Moon Imaging Spectrometer (EMIS), the Total Solar Irradiance (TSI), and the Solar spectral Irradiance Traceable to Quantum benchmark (SITQ). An on-orbit mode for radiometric calibration traceability and a balloon-based demonstration system for LIBRA are introduced as well in the last part of this paper. As a complementary project to the Climate Absolute Radiance and Refractivity Observatory (CLARREO) and the Traceable Radiometry Underpinning Terrestrial- and Helio- Studies (TRUTHS), LIBRA is expected to join the Earth observation satellite constellation and intends to contribute to space-based climate studies via publicly available data.
WOS关键词VISIBLE CHANNELS ; CALIBRATION ; INTERCALIBRATION ; IMAGERS ; MODIS
资助项目National Key Research and Development Program of China[2018YFB0504900] ; National Key Research and Development Program of China[2018YFB0504800] ; Bureau of International Co-operation Chinese Academy of Sciences[181811KYSB20160040]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000557524500001
出版者MDPI
资助机构National Key Research and Development Program of China ; Bureau of International Co-operation Chinese Academy of Sciences
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/44735]  
专题中国科学院合肥物质科学研究院
通讯作者Li, Chuanrong
作者单位1.Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China
2.China Meteorol Adm, Key Lab Radiometr Calibrat & Validat Environm Sat, Beijing 100081, Peoples R China
3.China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China
4.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
5.Chinese Acad Sci, Shanghai Inst Tech Phys, Shanghai 200083, Peoples R China
6.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Peoples R China
7.Eumetsat, Eumetsat Allee 1, D-64295 Darmstadt, Germany
推荐引用方式
GB/T 7714
Zhang, Peng,Lu, Naimeng,Li, Chuanrong,et al. Development of the Chinese Space-Based Radiometric Benchmark Mission LIBRA[J]. REMOTE SENSING,2020,12.
APA Zhang, Peng.,Lu, Naimeng.,Li, Chuanrong.,Ding, Lei.,Zheng, Xiaobing.,...&Schmetz, Johannes.(2020).Development of the Chinese Space-Based Radiometric Benchmark Mission LIBRA.REMOTE SENSING,12.
MLA Zhang, Peng,et al."Development of the Chinese Space-Based Radiometric Benchmark Mission LIBRA".REMOTE SENSING 12(2020).

入库方式: OAI收割

来源:合肥物质科学研究院

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